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HS Offenburg Research Institutes WLRI WLRI – Work-Life Robotics Institute Welcome to the WLRI We develop solutions in which people and technology work hand in hand. We research and implement robotics applications that are cost-effective and can be directly applied in real-world settings. Our areas of focus: industrial and collaborative robotics, additively manufactured components, and care robotics. Research Focuses RobotHub Further Information Research Focuses Collaborative Robotics Collaborative robotics refers to the development and use of robots that can safely interact with humans without physical separation by protective fencing or barriers. Applied Industrial Robotics Applied industrial robotics describes the use of robots in industrial manufacturing and production. Here, robots are used to automate and optimize production processes in order to increase efficiency and quality. Additively Manufactured Components in Robotics This area deals with the application of additive manufacturing processes (3D printing) in robotics. Machine Safety and Approval of Robotics Applications This area focuses on the safety of robotic systems and compliance with regulatory requirements and standards. The safety of robots plays a crucial role, especially when they work in close proximity to humans. Assisted Living and Care Robotics Assisted living and care robotics refer to the field of robotics that focuses on the use of robots and automated systems in the care of elderly people or people in need of assistance. These robotics applications are designed to support the daily lives of those receiving care. Shop Floor Simulation Shopfloor simulation is an important tool in the robotics industry to analyze and optimize the behavior of robotic systems and production processes in a virtual environment before they are implemented in real manufacturing. Lean Robotics Lean Robotics is a concept that focuses on the application of lean principles in robotics. The goal is to improve the efficiency and flexibility of robotic systems. Insights into Our Research Developing new methods. Optimizing processes. Driving innovation. At the WLRI, we seek answers to research questions. Our project registry lists all the projects we’re carrying out in collaboration with partners from academia and industry. There, you can search for all ongoing and completed projects since 2014. You can find the latest milestones and breakthroughs in our daily work under Insights . Projects Insights Robot Hub Projects The Monitoring Committee of the EU Interreg Upper Rhine program has approved two cross-border projects in which the Work-Life Robotics Institute (WLRI) at Hochschule Offenburg is involved. The Robot Hub Academy project will train future robotics experts in the Upper Rhine region, with a focus on cross-border courses, the establishment of a doctoral network and a robot driver's license. The WLRI plans to open up robotics lectures to students from France and Switzerland, as well as to develop courses for doctoral students and a doctoral network. In the Robot Hub Transfer project, the WLRI supports small and medium-sized companies in the Upper Rhine region in the automation of processes with robots. The offer includes on-site as-is analyses, development of solution concepts and risk assessments. Further Information Team Wendt, Thomas Prof. Dr.-Ing. +49 781 205-4956 thomas.wendt@hs-offenburg.de Gehringer, Alexander +49 781 205-1129 alexander.gehringer@hs-offenburg.de Süme, Sinan Emre +49 781 205-1133 sinan.sueme@hs-offenburg.de Burgert, Beate +49 781 205-1152 beate.burgert@hs-offenburg.de Friedel, Andreas Prof. Dr.-Ing. +49 7803 9698-4487 andreas.friedel@hs-offenburg.de Bantleon, Ulrich Prof. Dipl.-Kfm. +49 7803 9698-4489 ulrich.bantleon@hs-offenburg.de Köbler, Jürgen Prof. Dr.-Ing. +49 7803 9698-4492 juergen.koebler@hs-offenburg.de Stetter, Frank Prof. Dr. rer. pol. +49 7803 9698-4434 frank.stetter@hs-offenburg.de Roederer, Julia Prof. Dr. rer. pol. +49 7803 9698-4462 julia.roederer@hs-offenburg.de Blöchle, Jennifer Jasmin +49 781 205-1125 jennifer.bloechle@hs-offenburg.de Boll, Aaron Benedikt +49 781 205-1120 aaron.boll@hs-offenburg.de Dierle, Alexander +49 781 205-1138 alexander.dierle@hs-offenburg.de Fischer-Janzen, Anke Dr. phil. +49 781 205-1127 anke.fischer-janzen@hs-offenburg.de Haas, Roman +49 781 205-1145 roman.haas@hs-offenburg.de Hangst, Nikolai +49 781 205-1132 nikolai.hangst@hs-offenburg.de Kaithavalappil Ajay, Amal +49 781 205-1165 amal.kaithavalappil@hs-offenburg.de Lamm, Johannes +49 781 205-1139 johannes.lamm@hs-offenburg.de Ponomarjova, Katrin-Misel +49 781 205-1126 katrin-misel.ponomarjova@hs-offenburg.de Pupyrev, Pavel Dr. rer. nat. +49 781 205-1159 pavel.pupyrev@hs-offenburg.de Schnebel, Andi +49 781 205-1136 andi.schnebel@hs-offenburg.de Schröder, Steffen +49 781 205-1121 steffen.schroeder@hs-offenburg.de Stiglmeier, Lukas +49 781 205-1131 lukas.stiglmeier@hs-offenburg.de Waltersbacher, Robin +49 781 205-1157 robin.waltersbacher@hs-offenburg.de Directions Publications You can find our publications on OPUS , the Hochschule Offenburg’s institutional repository. Alternatively, you can also find us on Scholar Management & Contact Institute Leadership Wendt, Thomas Prof. Dr.-Ing. +49 781 205-4956 thomas.wendt@hs-offenburg.de Vice Director of the Institute Gehringer, Alexander +49 781 205-1129 alexander.gehringer@hs-offenburg.de Vice Director of the Institute Süme, Sinan Emre +49 781 205-1133 sinan.sueme@hs-offenburg.de Assistant to the Institute Director Burgert, Beate +49 781 205-1152 beate.burgert@hs-offenburg.de

HS Offenburg About us News Top news Pressereferentin Damrath, Joerdis +49 781 205-362 joerdis.damrath@hs-offenburg.de More news

HS Offenburg Transfer Entrepreneurship Open Game & FabLab OGFLab Open Game & FabLab Offenburg Do you have a business idea that you want to bring to life? Submit an application for the “Schwarzwälder Gründergeist” Idea and Business Plan Competition to receive support, feedback, and access to a strong network—and, as a winner, funding to further develop your idea. Idea Phase: Submit your innovative business idea by May 31 and pitch it on July 2 Business Plan: Submit by October 25; pitch in November For more information and to register visit “Ideas and Business Plan Competition” (University of Freiburg Startup Office) At a Glance What The OGFLab is the launchpad for starting a business at the University. It’s a coworking space, makerspace, and incubator all in one. Start-up teams from Hochschule Offenburg find a place here—across all faculties—where they can experiment, network, work, and push their limits for a semester with professional support and the right equipment. OGFLab stands for Open Game & FabLab Offenburg . The focus is on game and app development (GameLab) as well as rapid prototyping (FabLab). However, the OGFLab is also open to teams with other areas of focus. When The project launched on July 1, 2021, with a four-year funding period. However, the OGFLab is expected to remain at the University even after that. The individual startup teams are selected each semester ; the application period runs during the last and first weeks of each semester. The OGFLab startup grants for members of the selected teams last six months each. Where The OGFLab is located on the second floor of the Steinbeis Building, right next to Black Forest Innovation GmbH . The EduFabLab in room B136 serves as the workshop. In addition to these physical locations, there is a large network within the University that provides access to additional labs, testing facilities, and workshops, as well as to external partners from industry, business, and professional associations . Who Startup teams in the Hochschule Offenburg area are invited to submit an application. The interdisciplinary composition of the teams is particularly important to OGFLab. The teams are mentored by OGFLab’s permanent staff , who also coordinate consulting and networking through the advisory board and with partners . How Interested teams should submit an application for the upcoming semester. The OGFLab team strongly recommends contacting them in advance for application guidance. The OGFLab advisory board decides which teams will be accepted. Members of the selected startup teams receive the OGFLab startup grant and are permitted to use the workspaces and equipment in the container for six months. In coordination with the BMBF, the teams may also receive a KickStart@FH grant of up to 7,500 euros. Application The Application Process The application process consists of three steps: Contact us to clarify any initial questions. Submit your project idea using our application form (PDF) for the preliminary selection. Present and discuss the idea before the jury, which consists of representatives from the advisory board . Evaluation Criteria Decisions regarding the acceptance of founding teams are made by the advisory board . The evaluation criteria are: Technical feasibility Business model Work, time and cost plan KickStart@FH Förderung Accepted teams can submit an application for additional KickStart@FH funding. This grant covers up to €7,500 for in-kind contributions such as the purchase of necessary materials—including any required special parts (custom-made items)—and specialized consulting services. The KickStart@FH grant requires approval from the BMBF. Application Deadline The application rounds take place twice a year, in line with the semester schedule. Application Form (PDF) Projects Round #3 BODYCZEK “I believe that in a complex and demanding daily life filled with digital sensory overload, everyone can gain more time, structure, knowledge, and well-being for themselves and their loved ones. Personalized. Simple. Motivating.” Your digital, personal companion and everyday helper Life regularly throws the occasional “body check” your way that changes your life forever—sometimes planned, like expecting your first child or getting a dog—but often unplanned, due to accidents, serious illnesses, or physical or mental strain. In most cases, you could use a helping hand or benefit from the experiences of others. So wouldn’t it be great if, in every conceivable new and challenging life situation, you had a digital buddy who thinks things through with you, gives you tips, does the research for you, digitizes and organizes your documents, and gives you more time and energy for what really matters—namely, yourself, your health, and your loved ones. Bodyczek makes exactly that possible and becomes your digital companion (app/web), helping you stay on top of all the digital information overload and making your everyday life easier. Using artificial intelligence, Bodyczek always knows what to do; it searches for and utilizes suitable existing solutions and offers, as well as the community’s knowledge, and makes them available to you in a personalized, simple, and motivating way. This allows you to quickly gain knowledge on topics you were previously unfamiliar with (Mom is developing dementia—what now? I’m close to burnout—who should I turn to?), you can free up your mind because your assistant keeps track of appointments and schedules them with you and on your behalf, you can save money, become happier, less stressed, and, as a result, healthier. And with every real-life challenge you solve with Bodyczek’s help, you’ll earn points and awards that motivate you to take even better care of yourself and your loved ones. In summary: Bodyczek can help you with every conceivable (un)predictable situation in everyday life—tailored specifically to you. For more information, visit https://bodyczek.de . If you’d like to be part of this digital revolution, feel free to contact us at paul.bodyczek@gmail.com . JF ISMS “Cyberattacks are becoming an increasingly serious problem in Germany, as they can lead to economic losses, damage to a company’s reputation, and even disruptions to critical infrastructure. An appropriate ISMS system helps prevent these issues.” A simple and intuitive ISMS system for the creative industry I would like to develop an ISMS (Information Security Management System) specifically for the creative industry, as many clients are required to ensure that their OEMs (Original Equipment Manufacturers) implement such a system or obtain a certification such as TISAX within their organizations. An ISMS is a systematic approach to ensuring information security within an organization. It helps identify and assess risks, implement measures to minimize and prevent these risks, and minimize the impact of security incidents. An ISMS is particularly important in the creative industry, as this sector frequently handles sensitive and confidential information. The system can help ensure that this information remains protected and strengthen customer trust in the company. Lomie “As a team with expertise in media and IT, our goal is to facilitate event bookings throughout Germany in a smart and straightforward way on a comprehensive platform.” The "Airbnb" for event venues with service offerings The search for event venues comes with many challenges. How far in advance do I need to start looking? Where can I find a venue for a special occasion—or even just for a simple garden party? What fits within my budget? Where can I find local service providers that are a good fit for my venue? And so on and so forth… Often, not only the search itself but also the logistics can be complicated, and the joy of planning can quickly fade. Renting an event venue can also be difficult due to a lack of visibility and confusing booking processes. Lomie’s web-based application offers a comprehensive and simple solution to these challenges. Its core function is to connect renters and owners of event venues. A key feature is that, through the recommendation service’s algorithm, services from various providers that are tailored to the venue and the user can be booked alongside the venue. This allows both venue owners and renters to perform administration tasks related to bookings, payments, communication, cancellations, planning, and filtered searches in a straightforward and organized manner. With funding from OGFLabs and the KickStart Scholarship, we aim to create our website prototype and, until the processes are fully automated, attract the first providers and users to Lomie—initially in the Ortenau district. Access to the University’s facilities, its advisory services, and its network are extremely helpful to us in this endeavor. We are still looking for one more team member to handle communication with external IT service providers regarding the implementation and automation of these processes. If you’re interested, please feel free to contact us at lomie.og@gmail.com . Weltretter “Most people know they need to make their lifestyles more sustainable. But they often lack the necessary knowledge—‘How?’—or the motivation to make a change—‘Why?’ We address both questions in a fun and engaging way!” A game that encourages you to adopt a sustainable lifestyle Our team consists of five students from the EMI and Mechanical Engineering departments at Hochschule Offenburg. With our game, we want to help people lead sustainable lives: As climate change progresses, the issue of sustainability is becoming increasingly important. This trend is evident in both politics and society. However, even with the latest technology and innovations, a change in people’s behavior must take place. Many people don’t know what they can do or what impact their actions can have. As a result, many don’t even start, or they give up after a short time because they’re demotivated. The Weltretter app aims to solve both of these problems. This is achieved through a virtual world within the app. This virtual world improves in terms of the environment and nature whenever the user completes a challenge in the real world. These challenges are suggested within the app and relate, for example, to diet, waste, or energy consumption. The individual world within the app is designed to simplify and visualize how the real world would improve. The goal is to show users that their actions truly have an impact on the environment and to offer them suggestions on how to make their lifestyles more sustainable. Through this, we hope to convince many people to adjust their lifestyles as they see fit. Because only together can we save the world :) Round #2 Erzeugerland “With Erzeugerland, we’re digitizing a sector that has been largely unconnected and underdeveloped digitally: food sold directly by producers, with a focus on high-quality meat.” A platform for food products sold directly by producers, with a focus on high-quality meat Online retail is booming, and food delivery has seen a surge during the pandemic. The major corporations—which have the financial means and human resources to establish a digital presence and market themselves—are benefiting the most from this trend. But the social trend is moving in a different direction: there is a growing desire for regionally produced food and personal interaction with producers. Our business model operates at this intersection—between digital concepts and the desire for direct interaction with regional food producers. We are digitizing a sector that has not yet been networked or digitized: food marketed directly by the producer, with a focus on high-quality meat. In doing so, we provide consumers with improved and modern access to high-quality regional meat products and enhance the visibility and credibility of high-quality, sustainable producers. neo-strom “With neo-strom, we want to create an energy provider for the digital age that rethinks the concept of electricity and actively supports the energy transition.” Energy Providers for the Digital Age Thanks to machine learning and efficient procurement, we can optimize your electricity costs based on your usage and thus lower your bills. You can also view your usage down to the hour. That means: No more back payments. No more uncertainty about usage or costs—just check the app for a complete overview! However, our strategy isn’t just about modern technologies and efficient structures—it also includes a focus on renewable energy. The energy transition is bringing new opportunities to the electricity market, and we want to take advantage of them. We’re excited to be working with Hochschule Offenburg to shape the future of energy supply. Spintec “We at Team Spintec want to use our products to improve the experience of charging mobile devices.” A stylish charging cable system that keeps things organized. While people today still have to deal with tangled cables, limited mobility, or cables that are too long, we want to eliminate these problems once and for all in the future. With the help of our ingenious cable mechanism, you’ll be able to say goodbye to cable clutter once and for all and look forward to an environment free of charging cables lying around. Thanks to our all-in-one system, the charging cables are always the perfect length for any situation and can be tidied away effortlessly in a matter of seconds. Our chargers are ideally suited for use both at home and on the go. And the best part: None of this interferes with the charging process, nor does it require any additional accessories! Round #1 fleXignal “With fleXignal, we want to be able to optimize, automate, monitor in real time, and dynamically adjust the management of people and vehicles.” Smart Signposts for Customizable Guidance of People and Vehicles Overcrowded airport terminals operating at capacity, patients and visitors wandering aimlessly through hospitals, and parking attendants standing outside in all kinds of weather could all become a thing of the past. When people or vehicles need to be guided, our product is designed to offer a simple way to automate, improve, or dynamically intervene in processes. This allows for increased throughput, improved end-customer satisfaction, and greater efficiency while simultaneously reducing costs. We use a small number of different, universal hardware modules that can both relay instructions to people and receive input. All components can be used indoors and outdoors and are wirelessly networked with one another. Our in-house developed hardware is merely the necessary tool for the actual product: In collaboration with our customers, we design creative and innovative processes and evaluate their potential for improvement using simulations. The final product thus consists, on the one hand, of the necessary hardware components and, on the other hand, of a custom app through which automated processes can be monitored in real time or manually controlled. With funding from OGFLabs and the KickStart Scholarship, we aim to finalize our prototypes. Access to the University’s labs, workshops, and other facilities, as well as its advisory services and network, is extremely helpful to us. We are still looking for additional support with the programming of our software. If you’re interested, please feel free to contact us at info@flexignal.de LTB “We are LTB, a young and dynamic team of three whose goal is to automate additive manufacturing.” Development of an Intelligent Gantry Robot for Automating the 3D Printing Manufacturing Environment Our team includes two industrial engineers and a Maschinenbau engineer, all of whom have a strong background in IT and automation, as well as practical experience working with both established and growing companies. We are currently in the midst of constant change driven by the trend toward automation. Production facilities, manufacturing methods, and new technologies are enabling us to produce and operate more efficiently than ever before. We, the LTB team, want to contribute to this by developing a solution to make 3D printing more efficient. To this end, we are working on our own gantry robot and an intelligent control system to operate multiple 3D printers. Specifically, this means automatically detecting and retrieving finished printed parts. In the future, we aim to use neural networks to enable defect detection during the printing process. Our goal is to automate the 3D printing process to the point where no one is needed to regularly check and monitor it. The goal of our participation in the OGFLab and the KickStart scholarship is to finalize our prototype. The use of the labs and workspace, the financial support, and the network are all very helpful in this regard. We appreciate any support for this project that is close to our hearts and thank Hochschule Offenburg for allowing us to participate in the OGFLab! :-) Maeder “I’m Manuel Maeder, a 7th-semester mechatronics student at HSO, and I’m developing an automated desktop injection molding machine for recycling plastic and more.” Automatic Desktop Injection Molding Machine for Recycling Plastic and More I have been working on this project for a little over two years. The goal is to develop a compact, easy-to-use machine that uses 3D-printed injection molds to bridge the significant gap between 3D printers and industrial injection molding machines in additive manufacturing. The machine uses shredded plastic waste or plastic pellets as input. Injection into an injection mold, the production of filament for 3D printing, and the production of pellets from recycled materials are all combined in a single machine. All that’s needed in addition to the machine is a 230V power plug—just like with a 3D printer—and, if necessary, a small exhaust hose. My goal at OGFLab is to build a market-ready prototype with financial support from the KickStart grant and by using the EduFabLab as a workspace. Veil of Ashes “We—four students and graduates of Hochschule Offenburg majoring in Media and Information Studies and m.gp—are working together on a multiplayer real-time tactics game.” Multiplayer Real-Time Tactics Game The game is set in an alternate-history scenario around the year 1804. Players control a fleet of levitating ships and compete against each other in a competitive multiplayer mode. At the heart of the game is a combination of traditional RTT mechanics with the creative freedom of an editor, allowing players to build their own ships and develop new tactical approaches. The game is being developed primarily for PC using Unreal Engine 4. The game world is rendered in modern 3D graphics. Through the Open Game & FabLab, we aim not only to expand our Betriebswirtschaft knowledge: Our main goals are to establish a development studio and create a playable prototype that will be presented to publishers for further funding. Showcase Student Gaming Projects A selection of games from the Game Development seminar taught by Prof. Dr. Korn, Michael Blatz, and Adrian Rees. The exhibition features particularly outstanding student projects from eight semesters (2017–2020) at the Department of Media at Hochschule Offenburg: Robo Reap, Lost in Deep, Neo Ninja, Tutu Rage, and Inari. These projects serve as a guide for teams at the OGFLab who want to further develop and release their own games. The OGFLab is a center for student startups across all disciplines at Hochschule Offenburg. More Information Team Project Management – Human-Computer Interaction Korn, Marc Oliver Prof. Dr. phil. +49 781 205-4690 oliver.korn@hs-offenburg.de Project Management – Entrepreneurship Habann, Frank Prof.Dr.rer.pol.habil. +49 781 205-4786 frank.habann@hs-offenburg.de Employees* Bieberstein, Arndt +49 781 205-4862 arndt.bieberstein@hs-offenburg.de Blochowitz, Wolf-Heinrich Dipl.-Geogr. +49 781 205-4638 wolf.blochowitz@hs-offenburg.de Krübel, Marcel marcel.kruebel@hs-offenburg.de Reichwein, Julia +49 781 205-4690 julia.reichwein@hs-offenburg.de Tasci, Tarik +49 781 205-4859 tarik.tasci@hs-offenburg.de Job Openings Advisory Board Director Prof. Dr. Oliver Korn (Human-Computer Interaction) & Director of the Affective & Cognitive Institute (ACI) Prof. Dr. Frank Habann (Entrepreneurship) Faculty Representatives / Institutes & Labs Media department Prof. Dr. Thomas Breyer-Mayländer (Media Management) Prof. Dr.-Ing. Daniel Görlich (VR/XR, Game Development, HCI) Department of Electrical Engineering, Medical Engineering, and Informatik Prof. Dr.-Ing. Janis Keuper (Data Science, Machine Learning, Data Mining) Prof. Dr.-Ing. Elke Mackensen (Microelectronics, Circuit Design, VLSI & Low-Power Design) & Director of the Microelectronics Systems Design Lab & Director of the Edu Fab Lab Prof. Dr.-Ing. Axel Sikora (Communication Networks, Bus Systems & Interfaces, Cyber-Physical Systems) & Director of the Institute for Reliable Embedded Systems and Communication Electronics & Director of the Embedded Systems and Communication Electronics lab Department of Business Administration & Wirtschaftsingenieurwesen Prof. Dr. Bernhard Denne (Innovation Management) Prof. Dr. Andrea Müller (E-Commerce/Business Administration) Prof. Dr. rer. pol. Julia Roederer (Wirtschaftspsychologie, Human Resource Management) Department of Mechanical Engineering & Process Engineering Prof. Dr.-Ing. Gerhard Kachel (Mechanics and Design) Prof. Dr. Christiane Zell (Biotechnology) Industry Representatives Annika Brand, Black Forest Innovation GmbH Alexandra Huber, Association of Friends and Supporters of the HSO e.V. / Fraunhofer IPA Philipp Klemenz, Chamber of Industry and Commerce for the Southern Upper Rhine Julien Kuny, nectanet GmbH Jürgen Mäder, EDEKA Südwest Michaela Meier, BZ.medien GmbH & Co. KG Manfred Neufang, Digital Advisor Jürgen Streif, Volksbank eG – The Designers’ Bank Barbara Wörz, Burda Direct GmbH The OGFLab is funded by © BMBF © Research at Universities

HS Offenburg Transfer Events Knowledge Transfer Events Putting theory into practice, turning scientific findings into applications that create added value – that’s part of Hochschule Offenburg’s DNA. Several times a year, knowledge transfer events take place in the form of lectures, discussion forums, trade shows, exhibitions, or colloquia. We’d be happy to invite you to these events; simply send an email to jean.pacevicius@hs-offenburg.de , and we’ll keep you informed about upcoming events. Events

HS Offenburg Transfer Entrepreneurship Starting a Business Entrepreneurship Center/Startup Office Are you interested in starting a business ? Are you planning to launch your own company, perhaps even while you’re still in university? Then stop by the Entrepreneurship Center/Startup Office at Hochschule Offenburg and get expert advice. Services Offered by the Entrepreneurship Center/Startup Office Advice for New Business Owners Since June 2012, the Entrepreneurship Center/Startup Office at Hochschule Offenburg has been advising and supporting students, staff, lecturers, and professors in starting their own businesses. The Startup Coordinator, Prorector Prof. Dr. Thomas Breyer-Mayländer, and the Director of the Entrepreneurship Center/Startup Office, Wolf-H. Blochowitz, are available to help aspiring entrepreneurs on their path to professional independence with any questions regarding self-employment and starting a business, such as: What does starting a business actually mean? How can/should I prepare? How do I reach my customers? Business vs. Liberal Professions Basic knowledge of taxes The Experts: provide practical tips on all phases of starting a business help you decide whether starting a business is the right choice for you connect you with experts (Chamber of Industry and Commerce, TPO, etc.) provide information on federal and Baden-Württemberg state funding programs Appointment: by appointment Contact Experts Hochschule Offenburg is a member of the Campus Technologies Oberrhein (CTO) startup network. CTO is a regional funding organization that supports innovative startup projects at the University of Freiburg and the universities of Furtwangen and Offenburg. Hochschule Offenburg is also a member of the Board of Trustees of the Offenburg Technology Park (TPO) . The Offenburg Technology Park has been helping young companies get started since 1987. There, young entrepreneurs exchange ideas with other startup founders and have access to a proven system of consulting services. The Career Center at Hochschule Offenburg offers workshops, seminars, and lectures on entrepreneurship during the academic term. Basic counseling, consultation hours, individual and team coaching Open office hours every Wednesday from 1:30 p.m. to 6:00 p.m. in the OGFLab, 2nd floor of the blue Steinbeis building Zoom office hours every Monday and Friday from 3:00–3:45 p.m. Additionally: by appointment Other Programs Offered by Hochschule Offenburg OGFLab : The OGFLab serves as a launchpad for starting a business at the University. It is a coworking space, makerspace, and incubator . Entrepreneurship Chair : As part of the Entrepreneurship Chair, there are various programs focused on entrepreneurship Career Center Contact Reichwein, Julia +49 781 205-4690 julia.reichwein@hs-offenburg.de Breyer-Mayländer, Thomas Prof. Dr. phil. +49 781 205-134 breyer-maylaender@hs-offenburg.de Links CTO Startup Network TechnologiePark Offenburg Black Forest Innovation GmbH Gründermotor

HS Offenburg Research Institutes INES Advanced Building Technology Advanced Building Technology (Professors Pfafferott and Lämmle) While our society is willing to go for zero energy and plus energy buildings, our buildings still have to be prepared for the use of 100% renewable energy. As a result, innovations in building technology and grid-responsive operation of buildings are urgently required. A central challenge is the optimization of facility and controlling in the technical building equipment for decreasing energy demands. This includes especialy lower heat flow densities for heating and cooling. The E2G group at Offenburg University conducts research in the field of technical building equipment with a focus on heating and cooling with thermo-active construction components, ventilation technology and indoor air flow, façade-integrated building technology, and energy system technology for buildings. Economic viability, energy and resource efficiency as well as workspace and living quality are the focus of metrologically oriented studies. Projects GraphEET GraphEET - Graphs and AI Methods for the Technical Monitoring of Energy-Efficient Buildings Technical monitoring (TMon) can reduce energy consumption in buildings by up to 20%. In practice, however, this potential often remains untapped, as a shortage of skilled workers, manual processes, and a lack of digital systems make widespread implementation difficult. In particular, the time-consuming assignment of data points and the lack of a digital representation of building systems pose major hurdles. GraphEET addresses these challenges with a fully digital, data-driven workflow for technical monitoring. The goal of the project is to use hybrid AI methods to automatically identify data points and system topologies from building automation systems and to represent them as digital twins in the form of knowledge graphs. On this basis, analysis and inspection templates, fault diagnostics, and mobile measurement tasks can be automatically applied to systems with different topologies. The developed methods and software components are tested and validated in real-world laboratory and building environments, including the RIZ building and the technical labs and facilities at Hochschule Offenburg. In this way, GraphEET contributes to scaling up technical monitoring and to more efficient energy use in building operations. Funding Federal Ministry for Economic Affairs and Energy (BMWE) Project Duration July 2025 – June 2028 Project Partners Fraunhofer ISE Mondas GmbH Drees & Sommer SE Maurer Energy and Engineering Services GmbH & Co. KG Testo SE & Co. KGaA KoRes learn.SHK "Learn and work in the sustainable HVAC trade" Learn more effectively, train better, and be highly qualified for the energy transition: Innovative approaches are strengthening education and training in the plumbing, heating, and HVAC trades. The shortage of skilled workers in the plumbing, heating, and HVAC trades (SHK) is jeopardizing the energy transition in Germany. On the one hand, there is a lack of qualified professionals; on the other, the demands placed on them are increasing. Technologies are becoming more complex, interconnected, and digital. Planning and cost estimation are becoming more important. New skilled workers must therefore be trained quickly, with low barriers to entry, yet in a comprehensive manner. The learn.SHK project is testing innovative, scientifically grounded approaches that help trainees acquire professional knowledge, problem-solving strategies, and methodological skills more efficiently. The following points outline the project’s objectives: Establishing a culture of learning: The project supports apprentices in the HVAC trade in their learning. Through training sessions, they acquire effective learning techniques that they can use both during their apprenticeship and in lifelong learning. Gathering and sharing experiential knowledge: Skilled professionals accumulate valuable experience over the course of their careers, from which younger professionals and trainees can benefit. To pass on this expert knowledge in a targeted manner, learn.SHK is testing methods of cognitive task analysis. These methods document the thinking and problem-solving processes of subject matter experts and adapt them for use in training and continuing education. Strengthening learning support: To support training staff and skilled professionals who serve as trainers in the workplace, measures are being developed and tested to improve their (subject-specific) didactic and pedagogical competencies. Promoting competencies for shaping the heating transition: The project is developing technical learning modules for training and continuing education on current HVAC topics. For example, these focus on new technologies that are being used to implement the heating transition. Selected modules for the target group of master craftsmen and women will also be made available to students at Hochschule Offenburg. HOME PAGE SQ-Durlach II Demonstration of scalable solutions and development of digital methods for the planning, implementation, and operation of integrated energy concepts using large-scale heat pumps in existing neighborhoods Image: Simulation of integrated and smart energy hubs The SQ-Durlach II project is developing scalable and integrated energy concepts for residential neighborhoods that use large-scale heat pumps as central heat generators, and is demonstrating these concepts at two sites as well as at a laboratory facility. The goal is to develop practical solutions for the heating transition that can be reliably implemented even under conditions of a skilled labor shortage as well as technical, economic, and regulatory uncertainty. A key focus is on demonstrating digital methods for operational optimization, automated fault detection, and neighborhood control (energy management system) of complex heat pump systems. In addition, innovative technical solutions—including those for domestic hot water heating—are being tested and evaluated using measurement techniques. Furthermore, the modeling of smart heat pump energy centers serves to derive methods for the robust planning of neighborhood energy systems. The operational and implementation experience gained will ultimately be used for transfer to the new “Wohnpark Mittendrin” neighborhood, where a combined tenant electricity and heating model is also being implemented as part of the project. A streamlined monitoring concept enables operational monitoring and optimization and forms an important basis for the broad transferability of the developed concepts. In the subproject “Modeling of Smart Heat Pump Energy Centers” at INES, a simulation model focusing on hydraulics and control is being developed, which serves as the basis for robust planning and smart operational management. Funding Period January 2024 – December 2027 Funding Federal Ministry for Economic Affairs and Climate Action (BMWK) Project Management Agency Forschungszentrum Jülich GmbH (PtJ) Grant ID 03EN3095D Project partners KES Karlsruher Energieservice GmbH; Stadtwerke Karlsruhe; Volkswohnung Karlsruhe; Fraunhofer ISE; University of Freiburg, INATECH Village School Completed Projects List of Completed Projects shk.support (2023 - 2025) Students are helping the HVAC trade optimize heating systems in existing buildings. Course Code: badenova 2023-01 heatGUIde (2021 - 2024) The project provides technical solutions suitable for widespread use in private households to reduce physiological heat stress indoors. To this end, a prototype heat warning and management system for individual homes or rooms will be developed and tested in real-world applications. Based on room-specific computer models, predictive algorithms, and cost-effective standard IT components for assessing the indoor climate, the system is designed to warn residents early on about particularly stressful situations and provide specific instructions via an intuitive user interface. In apartments and buildings equipped with smart home systems, these instructions should also be implementable automatically. The technological core consists of reliable, room-specific predictions of physiological heat stress. To achieve this, proven building-type-based urban climate models (top-down approach) will be combined with models for building physics, building services engineering, and user behavior—which are parameterized on a room-by-room basis using local, continuous measurements and self-learning AI algorithms (bottom-up approach)—to form the technological core. Baden-Württemberg Foundation village.school (2021 - 2023) village.school village.school – Highly efficient school buildings in rural areas in a changing society: Low energy concepts, digitalization and socio-economic aspects in Moroccan and German schools Both Moroccan and German (elementary) schools are undergoing a structural transition and are confronted with corresponding challenges which, although they are at different levels and also have different effects in the two societies, can be traced back to similar structural problems, such as accessibility by students, relevant size, catchment area or costs in the ongoing operation of the building, in addition to current challenges in the education system. In both countries, the enhancement or preservation of rural life is a central issue. This German-Moroccan cooperation project concentrates on the building and energy technology design of small schools, with a focus on design, building fabric, economical energy supply, digital methods (especially in operational monitoring), and practicable, locally adapted energy concepts. We are also developing a practical teaching concept for Moroccan universities to firmly integrate sustainable energy technology in education. Using the example of one village school each in Germany and Morocco, we will show how building and energy concepts can be developed in a pragmatic, locally adapted manner, how planning can draw on concrete experience, and how a viable, sustainable infrastructure contributes to rural development. Project-ID 57545571 BUiLD.DIGITiZED (2020 - 2023) Building Information Modeling, or BIM, is used for the optimized planning and technical documentation of buildings through all construction and operational phases. Still, BIM methods are only slowly finding their way into the planning, implementation and operational phases of building technologies (German: Technische Gebäude Ausrüstung , or TGA). In this project, we are developing BIM methods for the commissioning and operational optimization of TGA systems and demonstrating commissioning with IoT and BIM on a low-energy building, the Regional Innovation Center for Energy Technology at Hochschule Offenburg ( RIZ Energie ). BUiLD.DIGITiZED thus provides impetus for the broad application of BIM methods, from design planning to implementation to commissioning. FKZ: 03EN1021A MEO - Modellexperimente in der operativen Energieanalyse (2019 -2022) The µGRiDS simulation model enables the operational analysis of small-scale building energy systems , decentralized energy network systems and their decentralized control based on price signals. The optimal operating strategies are derived based on a real system and include the engineering know-how about the individual components. Existing models can also be used to develop and implement energy systems of different sizes, for example comprising several combined heat and power plants or heat pumps. In addition to the price signal, the heat and cooling load will also be taken into account in the optimizer. www.energiesystem-forschung.de/forschen/projekte/meo FKZ 03ET4078H ACA-MODES (2019 - 2022) ACA-MODES - Advanced Control Algorithms for the Management of Decentralized Energy Systems The energy-system transition facilitates more renewable energies and decentralization. The resulting increase in diversity, comprehensive participation and complexity of (interconnected) energy generation require extensive transformation of the infrastructure for energy distribution and storage. To guarantee a both secure and inexpensive supply, solutions on the prosumer level with sector coupling are being discussed. Through intelligent grid connection and control of these systems, the flexibility gained can be used to support the grid. We are developing supervisory, grid-supportive control algorithms and operation management strategies for sector-coupled, hybrid energy systems, providing heating/cooling and electricity with different – primarily renewable – final energies. The energy prosumers are designed for neighborhoods and districts with a nominal electrical output of approx. 1 MW, to provide heating/cooling and electricity as efficiently as possible with a very high proportion of renewable energy sources. The coordinated system optimization of the prosumers is demonstrated with a supervisory operation management strategy for five trans-regionally distributed energy islands. aca-modes.insa-strasbourg.fr/de/startseite/ The project is funded by INTERREG V Oberrhein 3.15 and Wissenschaftsoffensive 2018 . SHK4 Future Energy Systems (2019 - 2020) University and vocational students work together on transforming a shipping container into an information point illustrating elements of building technology and their respective functions. www.ise.fraunhofer.de/de/forschungsprojekte/shk4futureenergysystems.html Funded by the German Ministry for Economic Affairs and Energy in cooperation with the Fraunhofer ISE, Freiburg Chamber of Commerce, and Richard Fehrenbach Vocational School in Freiburg. KLONG (2018 -2020) KLONG - Educational Films from Offenburg Related to Climate Research, User Behavior and and Building Technology If a comfortable atmosphere in an office space is also achieved in an energy-efficient manner, it has a positive effect on both the working and the global climate. However, the handling of corresponding building technologies has to be learned. The interdisciplinary KLONG project set the task of providing users with the necessary specialist knowledge by producing smart educational films. klong.hs-offenburg.de Funded by badenova AG & Co. KG (Innovationsfonds Klima- und Wasserschutz 2017) in cooperation with the City of Offenburg. ISG+KWKK (2017 - 2018) ISG+KWKK - Integration of a hybrid smart grid with a combined heat, power and cooling plant to improve grid efficiency Funded by E-Werk Mittelbaden AG & Co. KG. Stadtklimamodell MOSAIK (2016 - 2019) In the joint project MOSAIK, an innovative urban climate model is developed which should be able to simulate the urban microclimate in large cities like Berlin with a spatial resolution of less than 10 meters and be a user-friendly tool for urban planning. Hochschule Offenburg’s part is developing the building model, which calculates the indoor climate and the energy demand of the individual building zones depending on their specific parameterization. This primarily concerns the building physics of the facade, the use of the space/building, user behavior, control strategy/operation management, and the technical equipment. The agreed driving variables are the facade and boundary layer temperatures as well as the local irradiation and wind speed (if necessary with wind direction) from the urban climate model. To minimize the computation time and allow for less complex coupling between space and urban climate via the facade temperature, the building model is based on an analytical solution of the Fourier heat conduction equation and the energy balance of the space. palm.muk.uni-hannover.de/trac BMBF 01LP1601C Research Alliance of the Upper Rhine Region (2016 - 2019) Research Alliance of the Upper Rhine Region on the Technical Foundations of Sustainability This research alliance is concerned with reducing the specific primary energy demand of energy-intensive industrial processes. Funded by the State of Baden-Württemberg. mikroKWKK – Small-Scale Trigeneration (2015 - 2018) The provision of cooling from waste heat is a very energy-efficient option. A large potential for adsorption chillers lies in the capacity class below 10 kW cooling. Here, industrial waste heat or micro-cogeneration plants can be considered as a source of power. In a laboratory setup at INES and a model-based, theoretical investigation, a trigeneration system with a hot and a cold storage tank combined with a conventional reversible heat pump is evaluated in terms of energy efficiency and grid-supportive operation. Internal financing, cooperation project, DENE doctoral research group. Small-Scale Trigeneration as a Grid-Reactive System (2015) Small-Scale Trigeneration as a Grid-Reactive System for the Energy-Efficient Provision of Heat, Cooling and Electricity This project provides the foundations for the energy-economically optimized operation of small CHP systems based on adsorption chillers. Cooperation project with E-Werk Mittelbaden. ReSoWas (2014 - 2018) ReSoWas - Adapted Control and Remote Monitoring of Decentralized, Solar-Powered Drinking Water Treatment Plants Many decentralized regions in the world suffer not only from a shortage of clean drinking water, but also from a lack of infrastructure and thus a shortage of energy sources. About two billion people globally have neither electricity nor access to clean drinking water. Using solar energy to operate water treatment plants and desalination systems could provide a major solution to the problem. What is needed is an energy-autonomous, robust and, if possible, maintenance-free process that ideally covers the entire production chain from raw water extraction and purification to disinfection and distribution. SolarSpring GmbH (SSP) systems used for this purpose are essentially solar thermal driven membrane distillation (seawater desalination), ultrafiltration (freshwater treatment) and UV disinfection (sterilization), with the electricity required for operation being provided by photovoltaics. Typical system sizes vary from 150 L to 20 m³ of drinking water per day, although larger overall systems can also be produced thanks to a modular design. FKZ 03FH009PX4 Facade-Integrated Ventilation Technology (2013 - 2014) Measurement evaluation of facade-integrated parapet units (incl. air conditioning) and decentralized ventilation units in comparison to window ventilation and centralized ventilation units with special consideration of indoor air flow and energy efficiency. Industrial project with several project partners, cooperation project with Fraunhofer ISE. PAkoGA — Predictive Algorithms for Complex Building Automation (2012 – 2015) Further development of predictive methods aiming at adapting to different room characteristics. By using modern methods (e.g., neural networks, artificial intelligence, model-based control), algorithms with the ability to learn can adapt to differently used zones in the building independently. Such methods can also react automatically to changes in room characteristics caused by fluctuations in use. www.baufachinformation.de/Bauteilaktivierung/buecher/242406 BAUTEILAKTIVIERUNG_sd-bp2017_Pfafferott.pdf BMBF 03FH022I2 Urban Climate/Building Physics of Facades in Climate Change (2012 – 2013) In the two subprojects, “Basic Principles of Building Physics and Energy Economics” and “Building Model for Integration into The Forecast Models of the German Weather Service”, the needs for action in the area of "Urban Climate / Microclimate / Indoor Climate” are identified from an energy-economic perspective. On the basis of a simulation model it has been possible to quantify, at least approximately, the interaction between buildings and urban climate. This project also includes support (Advisory Board) for the “Sonderforschungsbereich 1736: Urban Climate and Heat Stress (UCaHS)”of the DFG, the WHO working group “Health and Climate Change,” and the “Weiterentwicklung der Testreferenzjahres-Datensätze”. Cooperation project with the German Weather Service (DWD) Monitoring der Passivhaus-Sporthalle Weixdorf (2011 - 2014) Measurement and model-based analysis of building operation with the components earth probe, earth/air coil, ventilation system with regenerative heat recovery, absorption heat pump and different surface temperature control systems (with temperature cascading). https://www.energiewendebauen.de/projekt/sporthalle-in-passivbauweise-mit-ausgekluegeltem-energiekonzept/ BMWi 0327431S LowEx:MONITOR (2011 - 2012) Development of an exergetic monitoring system for buildings using geothermal energy. The project focuses on the metrological analysis of buildings with geothermal energy use and thus contributes to the system integration of so-called LowEx components in the buildings and the geo-coupled systems. http://lowexmonitor.ise.fraunhofer.de/ Cooperation project with Fraunhofer ISE, esp. DataSTORAGE energy database. Further Information Team E2G Publications Head E2G Research Group Lämmle, Manuel Prof. Dr.-Ing. +49 781 205-4773 manuel.laemmle@hs-offenburg.de Pfafferott, Jens Prof. Dr.-Ing. +49 781 205-4604 jens.pfafferott@hs-offenburg.de

HS Offenburg Research Institutes INES Electric Mobility Electric Mobility (Prof. Klöffer, Prof. König) Professors Christian Klöffer and Patrick König jointly head the Electric Mobility Competence Center (EMC²) at INES. One part of the EMC 2 research group conducts, headed by Prof. Dr. Christian Klöffer, research in power electronics and electric machines for mobility applications. The focus here is on use in cars and commercial vehicles as well as in pedelecs and electric flight applications. The core of the research work is the (even more) efficient operation of the components while simultaneously increasing power density. Cooperation partners include automotive and supplier companies as well as universities and EU research communities. Another part of the EMC 2 group investigates, headed by Prof. Dr. Patrick König, different electric powertrain topologies (variants of the traction on-board network) with batteries and fuel cells. In the newly designed hydrogen and fuel cell lab, fuel cell systems can be analyzed and upscaled for this purpose. One aim of the research is to couple these systems with the power electronics and electrical machines for efficient overall operation. Academic employees (doctoral students) are involved in all the research work. Projects A-IQ Ready Quantum Sensing and Artificial Intelligence The onset of climate change, widespread geopolitical conflicts, and social inequalities make it clear that innovation and change are necessary to create a better world. Through the A-IQ Ready project (Artificial Intelligence Using Quantum Measured Information for Realtime Distributed Systems at the Edge), 50 project partners from 15 countries (including Offenburg University of Applied Sciences) have joined forces to tackle the problems of our time and the future on a broad front. Equipped with cutting-edge technologies such as quantum sensing and artificial intelligence, the project partners are working across eight supply chains on novel methods to overcome the challenges of the future. As part of the "Propulsion Health and Availability in Safety-Critical Situations" supply chain, Offenburg University is conducting research on neural networks and machine learning methods to make the electric mobility of the future safer: The development of novel quantum sensor technology will provide insights into the physical behavior of heavily loaded electric motors that were previously hidden from researchers and engineers. This is intended to provide a better understanding of the motor’s physical behavior in the event of faults, as well as to make assessments regarding the State of Health (SOH) and the probability of an imminent failure. Since the exact data relationships are difficult to trace, neural networks at Offenburg University of Applied Sciences are being trained to learn the motor’s behavior based on the sensor data described above. This creates a digital model of the motor that allows us to infer internal states—which would be inaccessible in production-ready motors (without expensive quantum sensors)—based on easily measurable parameters. Neural networks and machine learning are on everyone's lips—and are undeniably state-of-the-art. What exactly is left to explore? This question gains significance when we take the next step: How large does a neural network actually need to be to meaningfully learn the available information (so-called training data) and utilize it effectively? How exactly do we even feed the training data to the network? Is it best to provide all the data at once, or rather step by step in small chunks? And even if a good instinct or a bit of luck has produced a precise neural network, the need for further inquiry is far from obsolete, because: Perhaps there are other configurations that lead to even better results with the same data set? Or ones that are similarly precise but require much less training time? Hochschule Offenburg explored precisely these questions as part of the AIQ Ready project: For a case study, various configuration options (so-called hyperparameters) were selected and examined for their influence on the quality of fully trained networks and the duration of training. In the process, interesting patterns of effect emerged: Even small differences in the choice of hyperparameters can determine success or failure. A selected example of this is shown in Fig. 1: The figure displays the responses of two fully trained neural networks (yellow graph for Network 1, blue graph for Network 2, Fig. 1 top) to the same input sequence (three graphs, Fig. 1 bottom). The closer the networks’ output matches the reference result determined by measurement (orange graph, Fig. 1 top), the more precise they are. Both networks have the same architecture and were trained with identical data—only the subdivision of this training data into the aforementioned data chunks differs. The impact, however, is significant: While the output sequence of Network 1 has absolutely nothing in common with the reference result, Network 2 performs almost identically to the reference. In the context of electric motors, this means: Network 2 mimics the operational behavior of a motor very well and can accordingly be used as a digital model, whereas Network 1 is completely off the mark and therefore unsuitable. Figure 1: Top: Response of two trained neural networks (yellow graph for Network 1, blue graph for Network 2) to the same input sequence (bottom). The orange graph represents the reference value. Figure 2: Precision of various neural networks trained using different hyperparameter configurations, plotted against training duration. Each marker represents a trained and evaluated neural network: The color indicates the different batch sizes, and the shape describes the degree of overlap. An interesting finding from the research is that the size of the networks is of secondary importance for the chosen architecture (to be specific, neural state-space models were used): even a small number of interconnected artificial neurons is sufficient to construct high-performance networks. Once a narrow threshold of too small, unsuitable networks is crossed, even a multiplication of the number of neurons used leads only to marginal improvements. The investigations also showed that the aforementioned “data chunks” (so-called batches) are of particular significance. Attempting to train on all the data at once is therefore a very bad idea. Too many small chunks, on the other hand, slow down training considerably (red markers, Fig. 2) and also lead to less precise results. A sweet spot was identified for batches with a length of 50–100 data points (turquoise and blue markers, Fig. 2). In this context, another property was investigated: What actually happens when batches are allowed to overlap slightly—that is, to share data points? Here, the research yielded a very clear result: The more the batches overlap, the better the neural networks trained by them perform! A drawback, however, is that this also increases the training duration, as data points are thereby considered multiple times. Thus, users have adjustment options available that can be set depending on their time constraints and quality requirements. The detailed results were first presented in 2025 at the International Electric Machines and Drives Conference (IEMDC) in Houston, Texas, and published as a paper by IEEE: https://doi.org/10.1109/IEMDC60492.2025.11061168 Funding Program A-IQ READY is funded under the Key Digital Technologies Joint Undertaking (KDT JU)—the public-private partnership for research, development, and innovation within Horizon Europe—and by national authorities under Grant Agreement No. 101096658. Project partners 50 project partners from 15 European countries Project duration February 2023 to March 2026 iFEMA 6-phase vehicle inverter Fault-tolerant drive topologies are becoming increasingly important, particularly in light of future efforts toward autonomous driving. Six-phase motors offer one approach to making electric motors—which are already highly fault-tolerant—even safer. In this design, the electrical windings are duplicated. This also requires a “duplicate” inverter topology. The control and regulation algorithms for this are significantly more complex. These are being developed as part of several subprojects, and their functionality is being tested. AI4CSM As a consortium partner in this European project, we are developing AI-based algorithms to diagnose the electric motor in a powertrain. We are also exploring ways to keep the motor running using innovative control algorithms in the event of a hardware failure. Black Forest Formula Team (BFFT) The Black Forest Formula Team at Hochschule Offenburg has set itself the goal of developing an electric race car from the ground up and competing with it in Formula Student races. About 20 highly motivated students with bachelor's degrees and master's degrees with interdisciplinary backgrounds are working to design and build the 400-volt race car, prepare the business plan and cost report, and implement marketing and communication strategies. Project page Multiphase machines Multiphase machines, which have more than three phases, offer a wide range of innovative control methods. The current project is investigating whether targeted design measures can yield positive performance benefits based on electromagnetic harmonics. Yarn-size-based machine control The control approaches commonly used today for electric motors mostly date back to a time when they were primarily used for industrial electric motors. In contrast to industrial machines, factors such as installation space and weight play a major role for traction motors in vehicles. For this reason, efforts are made with traction motors, for example, to use less iron to make the motor lighter and to minimize the motor’s axial length through new winding concepts. Both approaches lead to undesirable (harmonic) effects in the machine. Conventional control approaches can only counteract these effects to a limited extent. The flux-based control is developing a completely new control approach for this purpose as part of a dissertation. Lock-in time-optimized machine control To ensure the reliable operation of an inverter and prevent damage, certain safety factors must be adhered to with regard to the semiconductor switches. If, as is common practice today, some of these safety factors are chosen to be very conservative across the board, this results in a reduction in the inverter’s maximum power output. As part of the project, an innovative approach is being pursued to adaptively adjust the safety factors during operation. The goal is to demonstrate that a power increase of two to three percent is possible. Further information Übersicht über die Leistungsdaten von Prüffeldern Overview of the performance data for the electrical drive technology test facility (Prof. Klöffer) Electric machine: Mechanical power: < 300 kW Mechanical speeds: < 20,000 rpm Torques: <500 Nm AC voltage amplitude: < 500 V AC current amplitude: < 800 A DC/AC converter: DC voltage: < 900 V AC current amplitude: < 800 A Energy storage: DC current: < 900 A DC voltage: < 900 V Overview of the performance data for the electrical drive technology test facility (Prof. Klöffer) Gas detection sensors (H2, CO, CO2, and refrigerants) Gas supply (H2, N, synthetic air, other gas mixtures) Enclosure with ventilation Additional overviews Christian Klöffer and Patrick König provided an overview of the ifemo project, research focuses, and developments in electromobility at RIZ Energie in a radio interview, which can be listened to on the Radio Dreyeckland website. Team EMC² Klöffer, Christian Prof. Dr.-Ing. +49 781 205-4870 christian.kloeffer@hs-offenburg.de König, Patrick Prof. Dr.-Ing. +49 781 205-4872 patrick.koenig@hs-offenburg.de Boschert, Lars +49 781 205-4908 lars.boschert@hs-offenburg.de Degel, Jan Philipp +49 781 205-4905 philipp.degel@hs-offenburg.de Hähnlein, Stefan +49 781 205-4813 stefan.haehnlein@hs-offenburg.de Hoferer, Luca Zoom luca.hoferer@hs-offenburg.de Müller, Philipp +49 781 205-4960 philipp.mueller@hs-offenburg.de Ronecker, Mirko Zoom mirko.ronecker@hs-offenburg.de Head of the EMC² Research Group Klöffer, Christian Prof. Dr.-Ing. +49 781 205-4870 christian.kloeffer@hs-offenburg.de König, Patrick Prof. Dr.-Ing. +49 781 205-4872 patrick.koenig@hs-offenburg.de

HS Offenburg Research Institutes INES Electric Energy Storage Electric Energy Storage (Prof. Bessler) Lithium-ion batteries have become an integral part of our daily lives. In the future, electrolysers and fuel cells for green hydrogen will play a key role. In the Electrical Energy Storage (EES) research group, we are improving the lifespan and performance of batteries and fuel cells. To do this, we use a variety of digital methods for modeling, simulation, and artificial intelligence. We also conduct experiments in our fully equipped battery laboratory. Our research focuses on current issues in battery system technology: Lifespan of lithium-ion batteries: Understanding degradation mechanisms and predicting aging using physicochemical models and degradation mode models State estimation and diagnostics of lithium-ion batteries: Operando determination of state of charge (SOC) and state of health (SOH) using voltage-driven models Battery system integration: Bidirectional charging of electric vehicles, coupling of batteries with photovoltaic modules, aging of home storage systems, diagnosis of smartphone batteries We use the following equipment for this purpose: Simulation: In-house multiphysics code DENIS (C++, MATLAB), in-house code LIBquiv for equivalent circuit modeling (MATLAB), PyTorch for solving neural differential equations, Simulink, COMSOL Multiphysics Experimental: Battery cyclers (Basytec, Biologic, channels up to 200 A), five temperature test chambers, glovebox, grinding and polishing machine, access to light and scanning electron microscopy as well as chemical analysis. Our battery lab is described in detail on the lab page. Research data management: Influx database for experimental data, GitLab for models and code, Zenodo for the publication of research data The EES research group is led by Prof. Dr. Wolfgang Bessler and is based at the Institute of Sustainable Energy Systems (INES). Our research activities take place within the framework of publicly funded projects, industry collaborations, as well as doctoral theses and student projects. Projects Battery Diagnosis At the battery laboratory at Hochschule Offenburg, new methods for the in-situ determination of the state of charge and state of aging of lithium-ion batteries have been developed, patented, and brought to the point of practical application. The algorithm is based on the use (for the first time in the literature) of the measured battery voltage as an input variable for a mathematical model. The new method offers significant advantages over the current state of the art. For diagnosing the state of charge, the following advantages exist: Only the voltage, not the current, is required as a measurement input. This reduces measurement costs and complexity in practical application. The algorithm is self-calibrating—no "full" or "empty" calibration states are required. The new method is robust against partial cycles and shows no SOC drift in the event of an inaccurate current measurement. The algorithm is numerically simple, requires no filter or observer, and can be easily implemented on standard microcontrollers. For diagnosing the state of aging, the algorithm offers the following advantages: Aging can be estimated from regular battery operation without the need for artificial full cycles: this is a true operando diagnostic. The model requires no age-adaptive parameters. The state of aging is determined based on simple calculation rules; no filter or observer is required. iFEMA Integrated Research on Energy for Electric Mobility: From Model to Application Electric vehicles are an essential component of the energy systems of the future. That is why they should be efficient and sustainable—both while on the road and while charging. To ensure that the energy supply for electric mobility is sustainable, efficient, and reliable, the iFEMA project combines all relevant scales for electric vehicles: the distribution grid with renewable generation facilities, the charging station within the local energy system (microgrid), the vehicle’s on-board electrical system, and battery storage. This is intended to resolve inherent trade-offs between grid benefits and fast charging, between bidirectional charging and battery lifespan, between climate friendliness and user requirements, and between overall efficiency and partial efficiencies. On the one hand, a digital twin of the entire system is being developed to enable optimal energy management. Various methods are being used for this purpose—ranging from machine learning to physical-chemical models. On the other hand, an experimental twin is being constructed to enable full-scale coupling in a controlled laboratory environment. Participating research groups at INES Electrical Energy Storage (EES), Electromobility (EMC²), Intelligent Energy Networks (IEN) Funding Carl Zeiss Foundation (“CZS Transfer – Energy Systems of the Future”) Duration April 2023 – March 2026 move.mORe Sustainable Mobility in the Upper Rhine Region The move.mORe project is a major joint project of Karlsruhe and Offenburg Universities of Applied Sciences together with numerous regional partners. The total application volume is almost 15 million euros. The project aims to develop solutions for the sustainable mobility of people and goods as well as for the energy transition in the Upper Rhine region - especially in rural areas - and to implement them on a region-specific basis. The focus is on research-based knowledge and technology transfer. The EES research group is investigating ways to integrate e-bike batteries in balcony photovoltaic systems. This will provide an additional use for the batteries, increasing sustainability. Funding Federal-and-state initiative "Innovative Hochschule" Project duration January 2023 to December 2027 Partner institutions Hochschule Karlsruhe Multiple practice partners Project page SiMET Simulation of Mechanical, Electrical, and Thermal Processes in Lithium-Ion Batteries The German Research Foundation (DFG)-funded doctoral research group GRK 2218 SiMET (Simulation of Mechanical-Electrical-Thermal Processes in Lithium-Ion Batteries) is dedicated to computer-aided battery technology. Batteries are key components for future technologies such as electric mobility and energy supply from fluctuating sources. Within the framework of SiMET, the mechanical, electrical, and thermal properties as well as their coupling are being researched. The goal of the doctoral research group is to train the next generation of scientists through interdisciplinary doctoral theses that achieve substantial progress in modeling and the development of numerical simulation methods for lithium-ion batteries. The doctoral research group is jointly based at the Karlsruhe Institute of Technology and Hochschule Offenburg. Funding German Research Foundation (DFG) Duration April 2017 – March 2026 Website www.simet.kit.edu Lab2Device Lab2Device - Vom Prototyping-Labor in das ressourcenbeschränkte Embedded Device As AI models become increasingly powerful, their resource requirements (computing power, storage space, energy) also increase. Many end devices cannot meet these resource requirements, which is why AI models are often deployed in the cloud. The constant communication between end devices and the cloud results in high energy consumption, compromised privacy, and reduced model availability. The “Lab2Device” project is developing an approach that makes it easier for companies to optimize their AI models for use on resource-constrained end devices. To achieve this, the project employs methods that compress existing models and identify new, more powerful AI models within resource constraints. The project investigates whether these methods are suitable for creating resource-efficient AI models, as well as the resource costs involved. In addition, the impact of the methods on other user-centered metrics, such as data sparsity and the reliability of model predictions, is examined. The methods are being developed based on two representative use cases (battery diagnostics and humanoid robotics). The transfer of the insights and developments gained will be validated using applications and end devices provided by the project partners. Funding Carl Zeiss Foundation (“CZS Transfer – Energy Systems of the Future”) Duration April 2026 – October 2029 Project website https://www.lab2device.de/ Further information Team EES Bessler, Wolfgang Prof. Dr. rer. nat. habil +49 781 205-4653 wolfgang.bessler@hs-offenburg.de Braun, Jonas +49 781 205-4766 jonas.braun@hs-offenburg.de Huschle, Marius +49 781 205-4969 marius.huschle@hs-offenburg.de Mmeka, Patricia Ogochukwu +49 781 205-4977 patricia.mmeka@hs-offenburg.de Naumann, Johanna Dr.-Ing. johanna.naumann@hs-offenburg.de Schmider, David +49 781 205-4681 david.schmider@hs-offenburg.de Schwab, Simon Zoom simon.schwab@hs-offenburg.de Publications Scopus Publication and Citation Statistics for Prof. Bessler: https://www.scopus.com/authid/detail.uri?authorId=57215636217 ORCID Publication Database Prof. Bessler: ORCID ID: 0000-0001-8037-9046 Online publication www.lifsim.com: LIFSIM - Calculation of fluorescence spectra bessler.info : Easy-to-remember abbreviation for this website List of Publications 2020 to present 2026 142. J. A. Braun, D. Schmider, and W. G. Bessler, „A physics-informed dual-electrode equivalent circuit model for lithium iron phosphate battery cells,” Electrochim. Acta 571, 148884 (2026), https://doi.org/10.1016/j.electacta.2026.148884 . 141. J. A. Braun, D. Schmider, P. O. Mmeka, and W. G. Bessler, “LIBquiv - An open-source lithium-ion battery equivalent circuit simulation tool,” Github (2026), https://github.com/ines-energy/LIBquiv . 140. J. A. Braun and W. G. Bessler, "Diagnosis of the open-circuit voltage curve of batteries with voltage-controlled models," J. Power Sources 676, 239471 (2026), https://doi.org/10.1016/j.jpowsour.2026.239471 . Research data on Zenodo, https://doi.org/10.5281/zenodo.17227537 . 139. W. G. Bessler and M. Dubarry, "Lithium-ion battery degradation: Comparison of three modeling methodologies," in: J. Kowal and D. U. Sauer (Editors), “Electrochemical Power Sources: Fundamentals, systems, and applications. Simulation models of secondary batteries: From quantum physics to techno-economic scale”, Elsevier, ISBN 978-0-12-819987-9 (2026), https://doi.org/10.1016/B978-0-12-819987-9.00007-X . 2025 138. D. Schmider and W. G. Bessler, "Influence of Intra-Particle Concentration Gradients and Lithium Plating on the Thickness Change of a Lithium-Ion Pouch Cell," J. Electrochem. Soc. 172, 090522 (2025), https://doi.org/10.1149/1945-7111/ae009e 137. P. O. Mmeka, M. Dubarry, and W. G. Bessler, "Physics-informed aging-sensitive equivalent circuit model for predicting the knee in lithium-ion batteries," J. Electrochem. Soc. 172, 080538 (2025), https://doi.org/10.1149/1945-7111/adf9cb . Research data on Zenodo, https://doi.org/10.5281/zenodo.15833031 . 136. M. C. Yagci, O. Richter, R. Behmann, and W. G. Bessler, "Degradation modes of large-format stationary-storage LFP-based lithium-ion cells during calendaric and cyclic aging," J. Energy Storage 124, 116774 (2025), https://doi.org/10.1016/j.est.2025.116774 135. A. El Moussawi, S. Karaminejad, J. Menser, W. G. Bessler, T. Dreier, T. Endres, and C. Schulz, "LIFSim, a modular laser-induced fluorescence code for concentration and temperature analysis of diatomic molecules," Applied Physics B 131, 72 (2025), https://doi.org/10.1007/s00340-025-08388-0. Website and source code: https://www.lifsim.com/ 134. W. G. Bessler, M. Kamlah, P. Seegert, A. Weber, and T. Wetzel (Editors), "Proceedings of the 21st Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies (ModVal 2025)," Hochschule Offenburg and Karlsruher Institut für Technologie, ISBN: 978-3-943301-35-9 (2025), https://doi.org/10.48584/opus-10318 2024 133. W. G. Bessler, "Capacity and resistance diagnosis of batteries with voltage-controlled models," J. Electrochem. Soc. 171, 080510 (2024), https://doi.org/10.1149/1945-7111/ad6938 . Research data on Zenodo, https://zenodo.org/doi/10.5281/zenodo.10965654 132. J. Brucker, R. Gasper, and W. G. Bessler, "A grey-box model with neural ordinary differential equations for the slow voltage dynamics of lithium-ion batteries: Application to single-cell experiments," J. Power Sources 614, 234918 (2024), https://doi.org/10.1016/j.jpowsour.2024.234918 131. J. A. Braun, R. Behmann, D. Chabrol, F. Fuchs, and W. G. Bessler, "Single-cell operando SOC and SOH diagnosis in a 24 V lithium iron phosphate battery with a voltage-controlled model," J. Energy Storage 85, 110986 (2024), https://doi.org/10.1016/j.est.2024.110986 2023 130. J. Brucker, W. G. Bessler, and R. Gasper, "A grey-box model with neural ordinary differential equations for the slow voltage dynamics of lithium-ion batteries: Model development and training," J. Electrochem. Soc. 170, 120537 (2023), https://doi.org/10.1149/1945-7111/ad14cd 129. D. Schmider and W. G. Bessler, "Thermo-electro-mechanical modeling and experimental validation of thickness change of a lithium-ion pouch cell with blend positive electrode," Batteries 9, 354 (2023), https://doi.org/10.3390/batteries9070354 128. R. Behmann, J. Phan, A. Root, M. Schmidt, and W. G. Bessler, "Integration of a lithium-ion battery in a micro-photovoltaic system: Passive versus active coupling architectures," Solar Energy 262, 111748 (2023), https://doi.org/10.1016/j.solener.2023.05.025 127. L. Schiffer and W G. Bessler, "Electrochemical pressure impedance spectroscopy for polymer electrolyte membrane fuel cells: Signal interpretation," J. Electrochem. Soc. 170, 054514 (2023), https://doi.org/10.1149/1945-7111/acd4ea 126. S. Carelli, Y. Lee, A. Weber, and W. G. Bessler, "Determining the limits of fast charging of a high-energy lithium-ion NMC/graphite pouch cell through combined modeling and experiments," J. Electrochem. Soc. 170, 020525 (2023), https://doi.org/10.1149/1945-7111/acb8e1 125. M. Quarti, A. Bayer, and W. G. Bessler, "Trade-off between energy density and fast-charge capability of lithium-ion batteries: A model-based design study of cells with thick electrodes," Electrochem Sci Adv. 2023, 2100161, https://doi.org/10.1002/elsa.202100161 124. W. G. Bessler und J. A. Braun, "Batterie, wie sehr bist Du schon gealtert?", forschung im fokus, Hochschule Offenburg, 78-81 (2023) 2022 123. J. A. Braun, R. Behmann, D. Schmider, and W. G. Bessler, "State of charge and state of health diagnosis of batteries with voltage-controlled models," J. Power Sources 544, 231828 (2022), https://doi.org/10.1016/j.jpowsour.2022.231828 , research data on Zenodo, https://doi.org/10.5281/zenodo.6817725 122. M. C. Yagci, T. Feldmann, E. Bollin, M. Schmidt, and W. G. Bessler, "Aging characteristics of stationary lithium-ion battery systems with serial and parallel cell configurations," Energies 15, 3922 (2022), https://doi.org/10.3390/en15113922 121. S. Carelli and W. G. Bessler, "Coupling lithium plating with SEI formation in a pseudo-3D model: a comprehensive approach to describe aging in lithium-ion cells," J. Electrochem. Soc. 169, 050539 (2022). https://doi.org/10.1149/1945-7111/ac716a 120. J. Brucker, R. Behmann, W. G. Bessler, and R. Gasper, "Neural Ordinary Differential Equations for Grey-Box Modelling of Lithium-Ion Batteries on the Basis of an Equivalent Circuit Model," Energies 2022; 15(7):2661. https://doi.org/10.3390/en15072661 . Research data on Zenodo, https://doi.org/10.5281/zenodo.6138075 . 119. L. Schiffer, A. V. Shirsath, S. Raël, C. Bonnet, F. Lapicque, and W. G. Bessler, "Electrochemical pressure impedance spectroscopy for polymer electrolyte membrane fuel cells: A combined modeling and experimental analysis," J. Electrochem. Soc. 169, 034503 (2022), https://doi.org/10.1149/1945-7111/ac55cd 118. W. G. Bessler, "Elektrische Energiespeicherung mit Batterien und Brennstoffzellen", forschung im fokus, Hochschule Offenburg, 100-103 (2022) 117. J. Brucker, W. G. Bessler, and R. Gasper, “Modelling of a large-format lithium-iron-phosphate-based lithium-ion battery cell with neural ordinary differential equations,” Upper-Rhine Artificial Intelligence Symposium (UR-AI 2022): AI Applications in Medicine and Manufacturing, Villingen-Schwenningen, Germany (2022) 2021 116. M. Quarti and W. G. Bessler, "Model-based overpotential deconvolution, partial impedance spectroscopy, and sensitivity analysis of a lithium-ion cell with blend cathode," Energy Technology 9, 2001122 (2021). https://doi.org/10.1002/ente.202001122 115. M. C. Yagci, R. Behmann, V. Daubert, J. A. Braun, D. Velten, and W. G. Bessler, "Electrical and structural characterization of large-format lithium iron phosphate cells used in home-storage systems", Energy Technology 9, 2000911 (2021), https://doi.org/10.1002/ente.202000911 114. V. Leible and W. G. Bessler, "Passive hybridization of photovoltaic cells with a lithium-ion battery cell: An experimental proof of concept", J. Power Sources 482, 229050 (2021), https://doi.org/10.1016/j.jpowsour.2020.229050 . 113. T. Wetzel, W. G. Bessler, M. Kamlah, H. Nirschl, "Simulation of mechano-electro-thermal processes in lithium-ion batteries", Energy Technology 9, 2100246 (2021). https://doi.org/10.1002/ente.202100246 112. J. Brucker, W. G. Bessler, and R. Gasper, "Grey-box modelling of lithium-ion batteries using neural ordinary differential equations," Energy Informatics 4(Suppl:3):15 (2021), https://doi.org/10.1186/s42162-021-00170-8 . 111. W. G. Bessler, "Zustandsbestimmung von Lithium-Ionen-Batterien: Ein neuer Algorithmus", forschung im fokus 2021, Hochschule Offenburg, 85-89 (2021). 2020 110. S. Carelli and W. G. Bessler, “Prediction of reversible lithium plating with a pseudo-3D lithium-ion battery model”, J. Electrochem. Soc. 167, 100515 (2020), DOI: 10.1149/1945-7111/ab95c8 109. P. Anitha Sukkurji, I. Isaac, S. Abhished Singaraju, L. Velasco Estrada, J. Aghassi-Hagmann, W. Bessler, H. Hahn, M. Botros, B. Breitung, “Tailored silicon/carbon compounds for printed Li‐ion anodes,” Batteries & Supercaps 3, 1-9 (2020), DOI: 10.1016/j.coelec.2020.04.017 108. A.V. Shirsath, S. Raël, C. Bonnet, L. Schiffer, W. G. Bessler, and F. Lapicque, “Electrochemical pressure impedance spectroscopy: a promising alternative to electrochemical impedance spectroscopy for investigation of mass transfer phenomena in polymer electrolyte membrane fuel cells,” Current Opinion in Electrochemistry 20, 82-87 (2020), DOI: 10.1016/j.coelec.2020.04.017 107. W. G. Bessler, "Elektrische Energiespeicherung mit Batterien und Brennstoffzellen", forschung im fokus, Hochschule Offenburg, 129-132 (2020) 2010 to 2019 2019 106. M. Mayur, M. C. Yagci, S. Carelli, P. Margulies, D. Velten, and W. G. Bessler, "Identification of stoichiometric and microstructural parameters of a lithium-ion cell with blend electrode," Phys. Chem. Chem. Phys. 21, 23672-23684 (2019), DOI: 10.1039/c9cp04262h 105. M. Mayur, S. C. DeCaluwe, B. L. Kee, W. G. Bessler, "Modeling and simulation of the thermodynamics of lithium-ion battery intercalation materials in the open-source software Cantera," Electrochim. Acta 323, 134797 (2019), DOI: 10.1016/j.electacta.2019.134797 104. S. Carelli, M. Quarti, M. C. Yagci, W. G. Bessler, "Modeling and Experimental Validation of a High-Power Lithium-Ion Pouch Cell with LCO/NCA Blend Cathode" J. Electrochem. Soc. 166, A2990-A3003 (2019), DOI: 10.1149/2.0301913jes 103. J. P. Neidhardt, W. G. Bessler, "Microkinetic Modeling of Nickel Oxidation in Solid Oxide Cells: Prediction of Safe Operating Conditions" Chem. Ing. Tech. 91, No. 6, 843–855 (2019), DOI: 10.1002/cite.201800197 102. C. Kupper, S. Spitznagel, H. Döring, M. A.Danzer, C. Gutierrez, A. Kvashad, W. G. Bessler, "Combined modeling and experimental study of the high-temperature behavior of a lithium-ion cell: Differential scanning calorimetry, accelerating rate calorimetry and external short circuit", Electrochim. Acta 306, 209-219 (2019), DOI: 10.1016/j.electacta.2019.03.079 101. L. Schiffer, D. Grübl, W. G. Bessler, "Model-based analysis of Electrochemical Pressure Impedance Spectroscopy (EPIS) for PEM Fuel Cells", Proceedings EFCF 2019 - Low-temperature Fuel Cells, Electrolyzers and H2 Processing, ISBN 978-3-905592-24-5, Chapter 3, 70-77 (2019) 2018 100. C. Kupper, B. Weißhar, S. Rißmann, and W. G. Bessler, "End-of-life prediction of a lithium-ion battery cell based on mechanistic aging models of the graphite electrode" J. Electrochem. Soc. 165, A3468-A3480 (2018), DOI: 10.1149/2.0941814jes . 99. R. J. Kee, P. Weddle, H. Zhu, G. Jackson, A. Colclasure, W. G. Bessler, and S. DeCaluwe, "On the fundamental and practical aspects of modeling complex electrochemical kinetics and transport", J. Electrochem. Soc. 165, E637-E658 (2018), DOI: doi.org/10.1149/2.0241813jes . 98. M. Mayur, M. Gerard, P. Schott, and W. G. Bessler, "Lifetime prediction of a Polymer Electrolyte Membrane fuel cell under automotive load cycling using a physically-based catalyst degradation model," Energies, 11, 2054 (2018), DOI: 10.3390/en11082054 97. F. Hall, J. Touzri, S. Wußler, H. Buqa, and W. G. Bessler, "Experimental Investigation of the Thermal and Cycling Behavior of a Lithium Titanate-based Lithium-ion Pouch Cell," J. Energy Storage 17, 109-117 (2018), DOI: 10.1016/j.est.2018.02.012 . 96. W. G. Bessler, "Elektrische Energiespeicherung mit Batterien und Brennstoffzellen", forschung im fokus, Hochschule Offenburg, 83-86 (2018) 2017 95. B. Weißhar and W. G. Bessler, "Model-Based Lifetime Prediction of an LFP/Graphite Lithium-ion Battery in a Stationary Photovoltaic Battery System," J. Energy Storage 14, 179-191, DOI: 10.1016/j.est.2017.10.002 (2017). 94. M. Mayur and W. G. Bessler, “Two-Dimensional Computational Fluid Dynamics Analysis of Transport Limitations of Different Electrolyte Systems in a Lithium-Air Button Cell Cathode,” J. Electrochem. Soc. 164, E3489-E3498, DOI: 10.1149/2.0451711jes (2017). 93. T. Jahnke, M. Zago, A. Casalegno, W. G. Bessler, and A. Latz, “A transient multi-scale model for direct-methanol fuel cells,” Electrochim. Acta 232, 215-225, DOI: 10.1016/j.electacta.2017.02.116 (2017). 92. S. Joos, B. Weißhar, and W. G. Bessler, “Passive hybridization of a photovoltaic module with lithium-ion battery cells: A model-based analysis,” J. Power Sources 348, 201-211, DOI: 10.1016/j.jpowsour.2017.02.063 (2017). 91. C. Kupper and W. G. Bessler, “Multi-Scale Thermo-Electrochemical Modeling of Perfor-mance and Aging of a LiFePO4/Graphite Lithium-Ion Cell,” J. Electrochem. Soc. 164, A304-A320, DOI: 10.1149/2.0761702jes (2017). 90. C. Kupper and W. G. Bessler, "Der Batteriealterung auf den Grund gehen", forschung im fokus, Hochschule Offenburg, 86-88 (2017) 2016 89. B. Weißhar and W. G. Bessler, “Model-Based Degradation Assessment of Lithium-Ion Batteries in a Smart Microgrid,” International Conference on Smart Grid and Clean Energy Technologies, Offenburg, Germany, 134-138, IEEE Xplore, DOI: 10.1109/ICSGCE.2015.7454284 (2016). 88. D. Grübl, B. Bergner, D. Schröder, J. Janek, and Wolfgang G. Bessler, „Multi-Step Reaction Mechanisms in Non-Aqueous Lithium-Oxygen Batteries with Redox Mediator: A Model-Based Study,” J. Phys. Chem. C 120 (43), 24623–24636, DOI: 10.1021/acs.jpcc.6b07886 (2016). 87. F. Hall, S. Wußler, H. Buqa, and W. G. Bessler, “On the asymmetry of discharge/charge curves of lithium-ion battery intercalation electrodes,” J. Phys. Chem. C, 120 (41), 23407–23414, DOI: 10.1021/acs.jpcc.6b07949 (2016). 86. D. Grübl, J. Janek, and W. G. Bessler, “Electrochemical pressure impedance spectroscopy (EPIS) as diagnostic method for electrochemical cells with gaseous reactants: A model-based analysis,” J. Electrochem. Soc. 163, A599-A610, DOI: 10.1149/2.1041603jes (2016). 85. T. Jahnke, G. Futter, A. Latz, T. Malkow, G. Papakonstantinou, G. Tsotridis, P. Schott, M. Gérard, M. Quinaud, M. Quiroga, A.A. Franco, K. Malek, F. Calle-Vallejo, R. Ferreira de Morais, T. Kerber, P. Sautet, D. Loffreda, S. Strahl, M. Serra, P. Polverino, C. Pianese, M. Mayur, W. G. Bessler, and C. Kompis, “Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale,” J. Power Sources 304, 207-233, DOI: 10.1016/j.jpowsour.2015.11.041 (2016). 84. S. Lueth, U. S. Sauter, and W. G. Bessler, "An agglomerate model of lithium-ion battery cathodes," J. Electrochem. Soc. 163, A210-A222, DOI: 10.1149/2.0291602jes (2016). 83. A. A. Franco, M. L. Doublet, and W. G. Bessler, Editors, "Physical multiscale modeling and numerical simulation of electrochemical devices for energy conversion and storage," Springer, London, DOI: 10.1007/978-1-4471-5677-2 (2016). 82. W. G. Bessler, "Elektrische Energiespeicherung mit Batterien und Brennstoffzellen", forschung im fokus, Hochschule Offenburg, 116-119 (2016) 2015 81. M. Mayur, S. Strahl, A. Husar, and W. G. Bessler, “A multi-timescale modeling methodology for PEMFC performance and durability in a virtual fuel cell car,” Int. J. Hydrogen Energy 40, 16466-16476, DOI: 10.1016/j.ijhydene.2015.09.152 (2015). 80. D. Grübl and W. G. Bessler, “Cell design concepts for aqueous lithium oxygen batteries: A model-based assessment,” J. Power Sources 297, 481-491, DOI: 10.1016/j.jpowsour.2015.07.058 (2015). 79. S. Wahl, A. Gallet Segarra, P. Horstmann, M. Carré, W. G. Bessler, F. Lapicque, and K. A. Friedrich, “Modeling of a thermally integrated 10 kWe planar SOFC System with anode offgas recycling and internal reforming by discretisation in flow direction,” J. Power Sources 279, 656-666, DOI: 10.1016/j.jpowsour.2014.12.084 (2015). 78. C. Bao and W. G. Bessler, “Two-dimensional modeling of a polymer electrolyte membrane fuel cell with long flow channel. Part II. Physics-based electrochemical impedance analysis,” J. Power Sources, 278, 675-682, DOI: 10.1016/j.jpowsour.2014.12.045 (2015). 77. C. Bao and W. G. Bessler, "Two-dimensional modeling of a polymer electrolyte membrane fuel cell with long flow channel. Part I. Model development", J. Power Sources 275, 922-934, DOI: 10.1016/j.jpowsour.2014.11.058 (2015). 76. W. G. Bessler, "Wie lange lebt die Brennstoffzelle? Ein EU-Forschungsprojekt zu Wasserstoffautos", campus Magazin der Hochschule Offenburg 38, Sommer 2015, 90-91 (2015). 75. D. Grübl, B. Bergner, J. Janek, and W. G. Bessler, "Dynamic Modeling of the Reaction Mechanism in a Li/O2 Cell: Influence of a Redox Mediator," ECS Trans. 69, 11-21, DOI: 10.1149/06919.0011ecst (2015). 74. A. Weidlich, U. Hochberg, W. G. Bessler, "Power-to-Gas optimiert einsetzen", forschung im fokus, Hochschule Offenburg, 124-125 (2015). 2014 73. N. Tanaka and W. G. Bessler, “Numerical investigation of kinetic mechanism for runaway thermo-electrochemistry in lithium-ion cells,” Solid State Ionics 262, 70-73, DOI: 10.1016/j.ssi.2013.10.009 (2014). 72. T. Danner, B. Horstmann, D. Wittmaier, N. Wagner, and W. G. Bessler, “Reaction and transport in Ag/Ag2O gas diffusion electrodes of aqueous Li-O2 batteries:Experiments and modeling,” J. Power Sources 264, 320-332, DOI: 10.1016/j.jpowsour.2014.03.149 (2014). 71. A. F. Hofmann, D. N. Fronczek, and W. G. Bessler, “Mechanistic modeling of capacity loss and polysulfide shuttle in lithium-sulfur batteries”, J. Power Sources 259, 300-310, DOI: 10.1016/j.jpowsour.2014.02.082 (2014). 70. V. Yurkiv, R. Costa, Z. Ilhan, A. Ansar, and W. G. Bessler, “Impedance of the surface double layer of LSCF/CGO composite cathodes: An elementary kinetic model”, J. Electrochem. Soc. 161, F480-F492, DOI: 10.1149/2.070404jes (2014). 69. P. Hartmann, D. Grübl, H. Sommer, J. Janek, W. G. Bessler, and P. Adelhelm, “Pressure dynamics in metal-oxygen (metal-air) batteries: a case study on sodium superoxide (NaO2) cells,” J. Phys. Chem. C 118, 1461-1471, DOI: 10.1021/jp4099478 (2014). 68. S. Tippmann, D. Walper, L. Balboa, B. Spier, and W. G. Bessler, “Low-temperature charging of lithium-ion cells part I: Electrochemical modeling and experimental investigation of degradation behavior,” J. Power Sources 252, 305-316, DOI: 10.1016/j.jpowsour.2013.12.022 (2014). 67. W. G. Bessler, „Computergestützte Batterie- und Brennstoffzellentechnik“, forschung im fokus, Hochschule Offenburg, 77-79 (2014). 66. D. Grübl, T. Danner, V. P. Schulz, A. Latz, W. G. Bessler, “Multi-methodology modeling and design of lithium-air cells with aqueous electrolyte,” ECS Trans. 62, 137-149, DOI: 10.1149/06201.0137ecst (2014). 65. V. Yurkiv, J. P. Neidhardt, W. G. Bessler, "Elementary kinetic modeling of (electro-)chemical degradation mechanisms of the SOFC anode," Proceedings of the 11th European SOFC Forum, Lucerne, Switzerland, p. B0609 (2014). 2013 64. B. Horstmann, B. Gallant, R. Mitchell, W. G. Bessler, Y. Shao-Horn, and M. Z. Bazant, "Rate-dependent morphology of Li2O2 growth in Li-O2 batteries," J. Phys. Chem. Lett. 4, 4217-4222, DOI: 10.1021/jz401973c (2013). 63. M. Henke, C. Willich, C. Westner, F. Leucht, J. Kallo, W. G. Bessler, and K. A. Friedrich, "A validated multi-scale model of a SOFC stack at elevated pressure," Fuel Cells 13, 773-780, DOI: 10.1002/fuce.201300076 (2013). 62. D. N. Fronczek and W. G. Bessler, "Insight into lithium-sulfur batteries: Elementary kinetic modeling and impedance simulation," J. Power Sources 244, 183-188, DOI: 10.1016/j.jpowsour.2013.02.018 (2013). 61. B. Horstmann, T. Danner, and W. G. Bessler, "Precipitation in aqueous lithium-oxygen batteries: A model-based analysis," Energy Environ. Sci. 6, 1299-1314, DOI: 10.1039/C3EE24299D (2013). 60. G. Schiller, C. Auer, W. G. Bessler, C. Christenn, Z. Ilhan, P. Szabo, H. Ax, B. Kapadia, W. Meier, "A novel concept for the investigation of gas composition during operation of a solid oxide fuel cell through one-dimensional gas-phase laser Raman spectroscopy," Appl. Phys. B 111, 29-38, DOI: 10.1007/s00340-012-5303-3 (2013). 59. T. Ou, F. Delloro, W. G. Bessler, A. Thorel, and C. Nicolella, "Proof of concept for the Dual Membrane Cell. Part II: Mathematical modeling of charge transport and reaction in the dual membrane," J. Electrochem. Soc. 160, F367-F374, DOI: 10.1149/2.041304jes (2013). 58. W. G. Bessler, "Multi-scale modelling of solid oxide fuel cells," in: Solid Oxide Fuel Cells: From Materials to System Modeling, M. Ni and T. S. Zhao, Editors, RSC Energy and Environment Series No. 7 (Royal Society of Chemistry, Cambridge, UK), 219-246, DOI: 10.1039/9781849737777-FP001 (2013). 57. W. G. Bessler, "Lithiumrevolution für Energiewende und Elektromobilität", campus Magazin der Hochschule Offenburg, Winter 2013/2014, 26-27 (2013). 56. V. Yurkiv, A. Latz, and W. G. Bessler, "Modeling and Simulation the Influence of Solid Carbon Formation on SOFC Performance and Degradation," ECS Trans. 57, 2637-2647, DOI: 10.1149/05701.2637ecst (2013). 55. J. P. Neidhardt, R. J. Kee, and W. G. Bessler, "Electrode reoxidation in solid-oxide cells: Detailed modeling of nickel oxide film growth," ECS Trans. 57, 2573-2582, DOI: 10.1149/05701.2573ecst (2013). 54. T. Jahnke and W. G. Bessler, "Modeling ruthenium dissolution in direct-methanol fuel cells," Proceedings of the 5th International Conference Fundamentals and Development of Fuel Cells (FDFC), Karlsruhe, Germany, p. SPS206 (2013). 53. J. P. Neidhardt, V. Yurkiv, and W. G. Bessler, "Spatiotemporal simulation of nickel oxide and carbon phases formation in solid oxide fuel cells (SOFC)," Proceedings of the 5th International Conference Fundamentals and Development of Fuel Cells (FDFC), Karlsruhe, Germany, p. P104 (2013). 2012 52. J. P. Neidhardt, D. N. Fronczek, T. Jahnke, T. Danner, B. Horstmann, and W. G. Bessler, "A flexible framework for modeling multiple solid, liquid and gaseous phases in batteries and fuel cells," J. Electrochem. Soc. 159, A1528-A1542, DOI: 10.1149/2.023209jes (2012). 51. V. Yurkiv, A. Gorski, W. G. Bessler, H.-R. Volpp, "Density functional theory study of heterogeneous CO oxidation over an oxygen-enriched yttria-stabilized zirconia surface," Chem. Phys. Lett. 543, 213-217, DOI: 10.1016/j.cplett.2012.06.057 (2012). 50. C. Bao and W. G. Bessler, "A computationally efficient steady-state electrode-level and 1D+1D cell-level fuel cell model," J. Power Sources 210, 67-80, DOI: 10.1016/j.jpowsour.2012.03.023 (2012). 49. V. Yurkiv, A. Utz, A. Weber, E. Ivers-Tiffée, H.-R. Volpp, and W. G. Bessler, "Elementary kinetic modeling and experimental validation of electrochemical CO oxidation on Ni/YSZ pattern anodes," Electrochim. Acta 59, 573-580, DOI: 10.1016/j.electacta.2011.11.020 (2012). 48. A. Bertei, A. S. Thorel, W. G. Bessler, and C. Nicolella, "Mathematical modeling of mass and charge transport and reaction in a solid oxide fuel cell with mixed ionic conduction," Chem. Eng. Sci. 68, 606-616, DOI: 10.1016/j.ces.2011.10.025 (2012). 47. R. Costa, R. Spotorno, N. Wagner, Z. Ilhan, V. Yurkiv, W. G. Bessler, and A. Ansar, "Development and Characterization of LSCF/CGO composite cathodes for SOFCs," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B04-48, DOI: 10.1149/2.070404jes (2012). 46. J. P. Neidhardt and W. G. Bessler, "Oxidation of nickel in solid oxide fuel cell anodes: A 2D kinetic modeling approach," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B05-17, DOI: 10.1149/1.3570148 (2012). 45. V. Yurkiv, R. Costa, Z. Ilhan, A. Ansar, and W. G. Bessler, "Elementary Kinetics and Mass Transport in LSCF-Based Cathodes: Modeling and Experimental Validation," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B10-6 (2012). 44. A. Gorski, V. Yurkiv, W. G. Bessler, and H.-R. Volpp, "CO Oxidation at the SOFC Ni/YSZ Anode: Langmuir-Hinshelwood and Mars-van-Krevelen versus Eley-Rideal Reaction Pathways," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B10-81 (2012). 43. J. P. Neidhardt, D. N. Fronczek, T. Jahnke, T. Danner, B. Horstmann, and W. G. Bessler, "A flexible modeling framework for multi-phase management in SOFCs and other electrochemical cells," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B10-130 (2012). 42. C. Willich, M. Henke, C. Westner, F. Leucht, W. G. Bessler, J. Kallo, and K. Andreas Friedrich, "Fuel Variation in a Pressurized SOFC," Proceedings of the 10th European Solid Oxide Fuel Cell Forum, Lucerne, Switzerland, p. B11-123 (2012). 41. S. Hink, N. Wagner, W. G. Bessler, E. Roduner, "Impedance spectroscopic investigation of proton conductivity in Nafion using transient electrochemical atomic force microscopy (AFM)," Membranes 2, 237-252, DOI: 10.3390/membranes2020237 (2012). 2011 40. M. Henke, J. Kallo, K. A. Friedrich, and W. G. Bessler, "Influence of Pressurization on SOFC Performance and Durability: A Theoretical Study," Fuel Cells 11, 581-591, DOI: 10.1002/fuce.201000098 (2011). 39. E. Mutoro, C. Hellwig, B. Luerßen, S. Günther, W. G. Bessler, and J. Janek, "Electrochemically induced oxygen spillover and diffusion on Pt(111): PEEM imaging and kinetic modelling," Phys. Chem. Chem. Phys. 13, 12798–12807, DOI: 10.1039/C1CP20361D (2011). 38. S. Seidler, M. Henke, J. Kallo, W. G. Bessler, U. Maier, and K. A. Friedrich, "Pressurized Solid Oxide Fuel Cells: Experimental Studies and Modeling," J. Power Sources 196, 7195-7202, DOI: 10.1016/j.jpowsour.2010.09.100 (2011). 37. M. Eschenbach, R. Coulon, A. A. Franco, J. Kallo, and W. G. Bessler, "Multi-scale modelling of fuel cells: From the cell to the system," Solid State Ionics 192, 615-618, DOI: 10.1016/j.ssi.2010.06.041 (2011). 36. W. G. Bessler and T. Nilges, "Trendberichte Festkörperchemie 2010", Nachrichten aus der Chemie 59, 246-253, DOI: 10.1002/nadc.201176372 (2011). 35. F. Leucht, W. G. Bessler, J. Kallo, K. A. Friedrich, and H. Müller-Steinhagen, "Fuel Cell System Modelling for SOFC/GT Hybrid Power Plants, Part I: Modelling and simulation framework," J. Power Sources 196, 1205-1215, DOI: 10.1016/j.jpowsour.2010.08.081 (2011). 34. V. Yurkiv, D. Starukhin, H.-R. Volpp, and W. G. Bessler, "Elementary reaction kinetics of the CO/CO2/Ni/YSZ electrode," J. Electrochem. Soc. 158, B5-B10, DOI: 10.1149/1.3505296 (2011). 2010 33. W. G. Bessler, M. Vogler, H. Störmer, D. Gerthsen, A. Utz, A. Weber, and E. Ivers-Tiffée, "Model anodes and anode models for understanding the mechanism of hydrogen oxidation in solid oxide fuel cells," Phys. Chem. Chem. Phys. 12, 13888-13903, DOI: 10.1039/C0CP00541J (2010). 32. M. Vogler, M. Horiuchi, and W. G. Bessler, "Modeling, simulation and optimization of a no-chamber solid oxide fuel cell operated with a flat-flame burner," J. Power Sources 195, 7067-7077, DOI: 10.1016/j.jpowsour.2010.04.030 (2010). 31. W. G. Bessler, S. Gewies, C. Willich, G. Schiller, and K. A. Friedrich, "Spatial distribution of electrochemical performance in a segmented SOFC: A combined modeling and experimental study," Fuel Cells 10, 411-418, DOI: 10.1002/fuce.200900083 (2010). 2001 to 2009 2009 30. M. Vogler, A. Bieberle-Hütter, L. J. Gauckler, J. Warnatz, and W. G. Bessler, "Modelling study of surface reactions, diffusion, and spillover at a Ni/YSZ patterned anode," J. Electrochem. Soc. 156, B663-B672, DOI: 10.1149/1.3095477 (2009). 29. M. Horiuchi, F. Katagiri, J. Yoshiike, S. Suganuma, Y. Tokutake, H. Kronemayer, and W. G. Bessler, "Performance of a solid oxide fuel cell couple operated via in situ catalytic partial oxidation of n-butane," J. Power Sources 189, 950-957, DOI: 10.1016/j.jpowsour.2009.12.124 (2009). 28. S. B. Adler and W. G. Bessler, "Elementary kinetic modeling of SOFC electrode reactions," in: Handbook of Fuel Cells - Fundamentals, Technology and Applications, Vol. 5, W. Vielstich, H. Yokokawa, and H. A. Gasteiger, Editors (John Wiley & Sons, Chichester, UK), 441-462, DOI: 10.1002/9780470974001.f500031 (2009). 2008 27. S. Gewies and W. G. Bessler, "Physically based impedance modeling of Ni/YSZ cermet anodes," J. Electrochem. Soc. 155, B937-B952, DOI: 10.1149/1.2943411 (2008). 26. J. Rossmeisl and W. G. Bessler, "Trends in catalytic activity for SOFC anode materials," Solid State Ionics 178, 1694-1700, DOI: 10.1016/j.ssi.2007.10.016 (2008). 25. T. Lee, W. G. Bessler, J. Yoo, C. Schulz, J. B. Jeffries, and R. K. Hanson, "Fluorescence quantum yield of carbon dioxide for quantitative UV laser-induced fluorescence in high-pressure flames," Appl. Phys. B 93, 677-685, DOI: 10.1007/s00340-008-3161-9 (2008). 2007 24. W. G. Bessler, S. Gewies, and M. Vogler, "A new framework for detailed electrochemical modeling of solid oxide fuel cells," Electrochim. Acta 53, 1782-1800, DOI: 10.1016/j.electacta.2007.08.030 (2007). 23. W. G. Bessler, "Rapid impedance modeling via potential step and current relaxation simulations," J. Electrochem. Soc. 154, B1186-B1191, DOI: 10.1149/1.2772092 (2007). 22. W. G. Bessler and S. Gewies, "Gas concentration impedance of solid oxide fuel cell anodes. II. Channel geometry," J. Electrochem. Soc. 154, B548-B559, DOI: 10.1149/1.2720639 (2007). 21. H. Kronemayer, D. Barzan, M. Horiuchi, S. Suganuma, Y. Tokutake, C. Schulz, and W. G. Bessler, "A direct-flame solid oxide fuel cell (DFFC) operated on methane, propane and butane," J. Power Sources 166, 120-126, DOI: 10.1016/j.jpowsour.2006.12.074 (2007). 20. W. G. Bessler, J. Warnatz, and D. G. Goodwin, "The influence of equilibrium potential on hydrogen oxidation kinetics of SOFC anodes," Solid State Ionics 177, 3371-3383, DOI: 10.1016/j.ssi.2006.10.020 (2007). 2006 19. M. Tutuianu, O. Inderwildi, W. G. Bessler, and J. Warnatz, "Competitive adsorption of NO, NO2, CO2 and H2O on BaO(100): A quantum chemical study," J. Phys. Chem. B 110, 17484-17492, DOI: 10.1021/jp055268x (2006). 18. W. G. Bessler, "Gas concentration impedance of solid oxide fuel cell anodes. I. Stagnation point flow geometry," J. Electrochem. Soc. 153, A1492-A1504, DOI: 10.1149/1.2205150 (2006). 2005 17. W. G. Bessler, "A new computational approach for SOFC impedance based on detailed electrochemical reaction-diffusion models," Solid State Ionics 176, 997-1011, DOI: 10.1016/j.ssi.2005.01.002 (2005). 16. J. W. Daily, W. G. Bessler, C. Schulz, V. Sick, and T. Settersten, "Nonstationary collisional dynamics in determining nitric oxide laser-induced fluorescence spectra," AIAA J. 43, 458-464, DOI: 10.2514/1.8783 (2005). 15. H. Kronemayer, W. G. Bessler, and C. Schulz, "Gas-phase temperature imaging in spray systems using multi-line NO-LIF thermometry," Appl. Phys. B81, 1071-1074, DOI: 10.1007/s00340-005-1986-z (2005). 14. T. Lee, W. G. Bessler, H. Kronemayer, C. Schulz , and J. B. Jeffries, "Quantitative temperature measurements in high-pressure flames with multi-line NO-LIF thermometry," Appl. Opt. 44, 6718-6728, DOI: 10.1364/AO.44.006718 (2005). 13. A. Franke, W. Koban, J. Olofsson, C. Schulz, W. G. Bessler, R. Reinmann, A. Larsson, and M. Aldén, "Application of advanced laser diagnostics for the investigation of the ionization sensor signal in a combustion bomb," Appl. Phys. B81, 1135-1142, DOI: 10.1007/s00340-005-1969-0 (2005). 12. W. G. Bessler, M. Hofmann, F. Zimmermann, G. Suck, J. Jakobs, S. Nicklitzsch, T. Lee, J. Wolfrum, and C. Schulz, "Quantitative in-cylinder NO-LIF imaging in a realistic gasoline engine with spray-guided direct injection," Proc. Combust. Inst. 30, 2667-2674, DOI: 10.1016/j.proci.2004.08.123 (2005). 11. J. B. Jeffries, C. Schulz , D. W. Mattison, M. A. Oehlschlaeger, W. G. Bessler, T. Lee, D. F. Davidson, and R. K. Hanson, "UV Absorption of CO2 for temperature diagnostics of hydrocarbon combustion applications," Proc. Combust. Inst. 30, 1591-1599, DOI: 10.1016/j.proci.2004.08.009 (2005). 2004 10. W. G. Bessler and C. Schulz "Quantitative multi-line NO-LIF temperature imaging," Appl. Phys. B78, 519-533, DOI: 10.1007/s00340-004-1421-x (2004). 9. T. Lee, W. G. Bessler, C. Schulz , M. Patel, J. B. Jeffries, and R. K. Hanson, "UV planar laser induced fluorescence imaging of hot carbon dioxide in a high-pressure flame," Appl. Phys. B79, 427-430, DOI: 10.1007/s00340-004-1595-2 (2004). 2003 8. M. Hofmann, W. G. Bessler, C. Schulz, and H. Jander, "Laser-induced incandescence (LII) for soot diagnostics at high pressure," Appl. Opt., 2052-2062, DOI: 10.1364/AO.42.002052 (2003). 7. W. G. Bessler, C. Schulz, T. Lee, J. B. Jeffries, and R. K. Hanson, "Carbon dioxide UV laser-induced fluorescence in high-pressure flames," Chem. Phys. Lett. 375, 344-349, DOI: 10.1016/S0009-2614(03)00858-3 (2003). 6. W. G. Bessler, C. Schulz, T. Lee, J. B. Jeffries, and R. K. Hanson, "Strategies for laser-induced fluorescence detection of nitric oxide in high-pressure flames. II. A-X(0,1) excitation," Appl. Opt. 42, 2031-2042, DOI: 10.1364/AO.42.002031 (2003). 5. W. G. Bessler, C. Schulz, T. Lee, J. B. Jeffries, and R. K. Hanson, "Strategies for laser-induced fluorescence detection of nitric oxide in high-pressure flames: III. Comparison of A-X Strategies," Appl. Opt. 42, 4922-4936, DOI: 10.1364/AO.42.004922 (2003). 2002 4. W. G. Bessler, C. Schulz, T. Lee, D. I. Shin, M. Hofmann, J. B. Jeffries, J. Wolfrum, and R. K. Hanson, "Quantitative NO-LIF imaging in high-pressure flames," Appl. Phys. B 75, 97-102, DOI: 10.1007/s00340-002-0946-0 (2002). 3. W. G. Bessler, C. Schulz, T. Lee, J. B. Jeffries, and R. K. Hanson, "Strategies for laser-induced fluorescence detection of nitric oxide in high-pressure flames. I. A-X(0,0) excitation," Appl. Opt. 41, 3547-3557, DOI: 10.1364/AO.42.004922 (2002). 2. J. B. Bell, M. S. Day, J. F. Grcar, W. G. Bessler, C. Schulz, P. Glarborg, and A. D. Jensen, "Detailed modeling and laser-induced fluorescence imaging of nitric oxide in a NH3-seeded non-premixed methane/air flame," Proc. Combust. Inst. 29, 2195-2202, DOI: 10.1016/S1540-7489(02)80267-X (2002). 2001 1. W. G. Bessler, F. Hildenbrand, and C. Schulz, "Two-line laser-induced fluorescence imaging of vibrational temperatures of seeded NO," Appl. Opt. 40, 748-756, DOI: 10.1364/ao.40.000748 (2001). Supervised Doctoral Dissertations 20. Jennifer Brucker, "Einsatz von neuronalen Differenzialgleichungen bei der Grey-Box-Modellierung von Lithium-Ionen-Batterien", Karlsruher Institut für Technologie (2025). https://doi.org/10.5445/IR/1000185237 19. Mehmet Yagci, "Influence of operating conditions on the aging of large-format lithium iron phosphate battery cells: From laboratory conditions to a home storage system", Karlsruher Institut für Technologie (2024). https://doi.org/10.5445/IR/1000175325 18. Michael Quarti, "Modellierung, simulative Charakterisierung und Parameterstudie von Lithium-Ionen-Batterien mit einer Mischelektrode", Karlsruher Institut für Technologie (2024). https://publikationen.bibliothek.kit.edu/1000172881 17. Lutz Schiffer, "Electrochemical pressure impedance spectroscopy for studying mass transport processes in polymer electrolyte membrane fuel cells: A model-based analysis", Karlsruher Institut für Technologie, Karlsruhe (2023). https://doi.org/10.5445/IR/1000158854 16. Serena Carelli, "Mechanistic modelling of electrochemical ageing reactions at the graphite anode of lithium-ion batteries", Karlsruher Institut für Technologie, Karlsruhe (2021). https://publikationen.bibliothek.kit.edu/1000130824 15. Parvathy Anitha, "Advanced Anode and Cathode Materials for Li-ion Batteries: Application to Printing Methodology", Karlsruher Institut für Technologie (2021). https://publikationen.bibliothek.kit.edu/1000137243 14. Christian Kupper, "Lebensdauer und Sicherheit von Lithium-Ionen-Batterien für die dezentrale Speicherung regenerativer Energien: Modellbasierte Untersuchung einer Lithiumeisenphosphatzelle", Universität Freiburg (2019). https://portal.dnb.de/opac.htm?method=simpleSearch&cqlMode=true&query=nid%3D122005206X 13. Daniel Grübl, "Dynamic modeling and simulation of electrochemistry and transport in metal-air batteries", Universität Gießen (2016). https://justfind.hds.hebis.de/Record/HEB400954915 12. Sabine Lüth, "Untersuchung des Einflusses der Mikrostruktur von Kathoden auf das Entladeverhalten von Lithiumionenhalbzellen", Universität Stuttgart (2016). https://stg.ibs-bw.de/aDISWeb/app?service=direct/0/Home/$DirectLink&sp=SOPAC02&sp=SAKSWB-IdNr1546920463 11. Simon Tippmann, "Modellierung und experimentelle Charakterisierung des Degradationsverhaltens durch Lithium-Plating an Lithium-Ionen-Zellen unter automobilen Betriebsbedingungen", Universität Stuttgart (2015). https://stg.ibs-bw.de/aDISWeb/app?service=direct/0/Home/$DirectLink&sp=SOPAC02&sp=SAKSWB-IdNr848412621 10. David Fronczek, "Experimental characterization, design improvements, and physically-based modeling of lithium-sulfur cells with Li2S-based positive electrodes", Universität Stuttgart (2015). http://dx.doi.org/10.18419/opus-2389 9. Nanako Tanaka, "Modeling and simulation of thermo-electrochemistry of thermal runaway in lithium-ion batteries", Universität Stuttgart (2015). http://dx.doi.org/10.18419/opus-2362 8. Timo Danner, "Modeling and experimental investigation of transport processes in the porous cathode of aqueous Li-air batteries", Universität Stuttgart (2015). http://dx.doi.org/10.18419/opus-2361 7. Jonathan Neidhardt, "Nickel oxidation in solid oxide cells: Modeling and simulation of multi-phase electrochemistry and multi-scale transport", Universität Stuttgart (2013). http://dx.doi.org/10.18419/opus-2179 6. Christian Hellwig, "Modeling, simulation and experimental investigation of the thermal and electrochemical behavior of a LiFePO4-based lithium-ion battery", Universität Stuttgart (2013). http://dx.doi.org/10.18419/opus-1400 5. Romain Coulon, "Modélisation de la dégradation chimique de membranes dans les piles à combustibles à membrane électrolyte polymère", Université de Grenoble (2012). https://tel.archives-ouvertes.fr/tel-00767412/ 4. Vitaliy Yurkiv, "Modeling and validation of heterogeneous catalytic processes in fuel cells", Universität Heidelberg (2010). http://archiv.ub.uni-heidelberg.de/volltextserver/11445/ 3. Marcel Vogler, "Elementary kinetic modelling applied to solid oxide fuel cell pattern anodes and a direct flame fuel cell system", Universität Heidelberg (2009). http://archiv.ub.uni-heidelberg.de/volltextserver/9532 2. Stefan Gewies, "Modellgestützte Interpretation der elektrochemischen Charakteristik von Festoxid-Brennstoffzellen mit Ni/YSZ-Cermetanoden", Universität Heidelberg (2009). http://archiv.ub.uni-heidelberg.de/volltextserver/9032/ 1. Monica Tutuianu, "Quantum mechanical modeling of surface reactions in storage catalytic converters", Universität Heidelberg (2007). http://archiv.ub.uni-heidelberg.de/volltextserver/7477/ Head of the EES Research Group Bessler, Wolfgang Prof. Dr. rer. nat. habil +49 781 205-4653 wolfgang.bessler@hs-offenburg.de

HS Offenburg Research Institutes INES Intelligent Energy Networks Intelligent Energy Networks (Prof. Gasper, Prof. Schmidt) The energy transition will be decided in the distribution grid. Decentralized generators, storage facilities, flexible consumers, and cross-sector applications must be coordinated in an intelligent, efficient, and stable manner. The Intelligent Energy Networks (IEN) research group develops data- and model-based methods for analyzing, simulating, and optimizing climate-neutral energy systems—from microgrids to the municipal level. Our focus areas are: Simulation and analysis of distribution grids and local energy systems for the development of smart grid solutions (flexibility utilization and grid transparency) Optimization-based operating strategies for microgrids and flexible consumers (including storage facilities, charging structures, and heat pumps) – taking into account battery aging, forecasts, and uncertainties Resilience of critical energy infrastructures Data-driven methods and AI for energy data analysis Power quality and grid interactions With the INES microgrid, we have a real-world laboratory for validating models and algorithms under real conditions. Our projects are developed in close cooperation with grid operators, industry partners, municipalities and research institutions. Projects AsimutE The AsimutE project aims to develop collaborative strategies to save energy in the Upper Rhine region and thereby reduce the carbon footprint. Researchers and engineers will explore smart solutions to reduce energy consumption and optimize storage, taking the end users into account. Data from households will be collected to document consumption patterns and understand expectations for self-consumption technologies. A coordination tool between citizens and the public sector will be developed to promote collaborative energy saving strategies. Technical solutions such as an AI tool for heat pump operation and the use of electric vehicle batteries as stationary energy storage are being researched. The interdisciplinary cooperation enables a harmonization of energy saving approaches in the Upper Rhine region to reduce CO2 emissions. INES is involved in the development of robust energy management algorithms that require little communication and implementation effort. ivESK is involved in evaluating globe CLS, submeters and LPWAN solutions; estimating their applicability in the Upper Rhine region; and working on security tasks, including fingerprinting and fingerprinting protection. ivESK is also conducting an analysis of security technologies for smart metering in cooperation with the OMS Task Force Security Group and assessing them in terms of their performance, suitability for smart metering infrastructure, technological maturity, and compliance with regulations such as the EU RED Directive. Project Period October 2023 to January 2027 Funding Institution EU Interreg Oberrhein Project Partners Project management organization: Université de Haute-Alsace - Institut de Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS) Karlsruher Institut für Technologie (KIT) - Deutsch-Französisches Institut für Umweltforschung (DFIU) Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau - Dpt. Electrical Engineering and Information Technology Hochschule Furtwangen - Institut für Smart Systems (ISS) Centre National de la Recherche Scientifique (CNRS) - Laboratoire Image Ville Environnement Hochschule Kehl Albert-Ludwigs-Universität Freiburg - Public and Non-Profit Management Professorship Fachhochschule Nordwestschweiz FHNW - Institut für Elektrische Energietechnik Schweizerische Eidgenossenschaft (NRP) Kanton Basel-Stadt Kanton Basel-Landschaft Kanton Aargau Kanton Jura Alter Alsace Energies Badenova Electricité de France (EDF) Direction Action Régionale Grand Est HAGER Voltec-Solar Pfalzwerke Netz Primeo Netz Solextron TRION-climate Pôle Fibres-Energivie easeRISK Increasing safety and energy resilience in the city of Konstanz With the easeRISK project, the universities of Kehl and Offenburg, with the support of the city of Konstanz, are using an interdisciplinary approach to research the success factors for energy resilience in critical infrastructure (KRITIS). In particular, the project is looking at the scenario of a large-scale, prolonged power outage. HSO is responsible for the technical aspects of the project, which include data collection and analysis as well as the simulation of a microgrid for supplying critical infrastructure (KRITIS). HSK is responsible for the economic evaluation and for examining the legal framework and social acceptance. Project duration January 2026 - December 2028 Funding Ministry of Science, Research and the Arts Baden-Württemberg Project partners Kehl University of Applied Sciences City of Konstanz Konstanz Public Utilities Local KRITIS stakeholders GrECCo Grid-Sensitive Energy Community Coordination In the GrECCo project, a grid-sensitive market mechanism for energy communities is to be developed that addresses the challenges of grid operation and thereby contributes to a reduction in the need for grid expansion and to solving congestion problems. Hochschule Offenburg is providing essential parts of the development and test environment with a distribution grid simulation and a prosumer laboratory environment and is also participating in the development of the new methods. Project Period October 2022 - September 2025 Funding Institution Federal Ministry for Economic Affairs and Climate Action (BMWK) Project Partners University of Freiburg - Institut für Nachhaltige Technische Systeme (INATECH) University of Freiburg - Institut für Mikrosystemtechnik (IMTEK) Fraunhofer Institut für Solare Energiesysteme OLI Systems GmbH Network operators Hydrogen Valley Südbaden According to a hydrogen potential survey, regional hydrogen demand on the German side of the border triangle between Offenburg and Basel is expected to be around 25,000 tons per year from 2027. On the other hand, there are currently renewable production capacities of around 1,000 tons of hydrogen per year. The connection to a supra-regional distribution network at federal or EU level will not take place before 2035. The South Baden region is thus characterized by overlapping location risks and disadvantages in a national and cross-border context. Given these parameters, hydrogen development paths up to the year 2045 are to be drawn up in South Baden and hydrogen in the South Baden energy system is to be evaluated. Building on this, integrated energy concepts will be developed at municipal level, adapted to the respective stakeholders and based on municipal heat planning and local renewable electricity generation potential, and new business model potentials will be identified, which should result in a marketable product. Funding period April 2024 - December 2027 Funding institution EFRE and State of Baden-Württemberg, Ministry of Finance ("RegioWIN 2030" program) Project partners Klimapartner Südbaden Offenburg University ITG - Infrastruktur-Trägergesellschaft mbH & Co. KG Pôle Véhicule du Futur iFEMA Full-Scale Energy Research for Electromobility: From Model to Market Electric vehicles are an essential part of the energy systems of the future. Therefore, they should be efficient and sustainable - both when they are on the road and when they are being charged. To ensure that the energy supply for electric mobility is sustainable, efficient and secure, the iFEMA project combines all relevant scales for electric vehicles: the distribution grid with renewable generation plants, the charging station in the local energy system (microgrid), the vehicle's on-board network, and the battery storage system. This is intended to resolve inherent conflicting goals between grid serviceability vs. fast charging, bidirectional charging vs. battery lifetime, climate friendliness vs. user requirements, or overall vs. partial efficiencies. On the one hand, a digital twin of the overall system is built for this purpose, with which optimal energy management is being developed. Various methods are used for this - from machine learning to physical-chemical models. On the other hand, an experimental twin is set up to enable full scale coupling in a controlled laboratory environment. INES Groups Involved Electrical Energy Storage (EES), Electric Mobility (EMC²), Intelligent Energy Networks (IEN) Funding Institution Carl Zeiss Foundation ("CZS Transfer – Energiesysteme der Zukunft") Project Duration April 2023 - March 2026 KoRes Resilient Energy Systems for Municipalities, Regions, and Germany In the KoRes project, the IEN and EEW research groups at INES, Kehl University of Applied Sciences, greenventory GmbH, and the City of Offenburg are jointly developing an interdisciplinary approach to strengthening energy resilience. The focus is on how energy systems at the local, regional, and national levels can be designed to be not only climate-neutral but also resilient to crises such as extreme weather, cyberattacks, or supply chain disruptions. Hochschule Offenburg is responsible for the technical work packages, in particular the further development of the MyPyPSA-Ger energy system model and the integration of national and municipal models. greenventory GmbH, based in Freiburg, is developing methods for spatial data analysis as well as a digital twin to assess risks and resilience indicators. The City of Offenburg contributes real-world use cases and develops concrete strategies and emergency plans for a crisis-resilient energy supply. Kehl University of Applied Sciences examines the economic, legal, and social framework conditions and derives recommendations for action for policymakers and administration. The project’s goal is to identify robust transformation pathways and concrete measures to strengthen the resilience of energy systems and to support municipalities in implementing a secure and climate-neutral energy supply. Project duration: March 2026 – December 2029 Funding: Federal Ministry for Economic Affairs and Energy Participating research groups at INES : Energy Systems and Energy Economics (EEW), Intelligent Energy Networks (IEN), Energy-Efficient Building Technology (E2G) Project partners: Kehl University of Applied Sciences (HSK), greenventory GmbH, City of Offenburg move.mORe Sustainable Mobility in the Upper Rhine Region The move.mORe project is a major joint project of Karlsruhe and Offenburg Universities of Applied Sciences together with numerous regional partners. The total application volume is almost 15 million euros. The project aims to develop solutions for the sustainable mobility of people and goods as well as for the energy transition in the Upper Rhine region - especially in rural areas - and to implement them on a region-specific basis. The focus is on research-based knowledge and technology transfer. Within a subproject, the IEN group is making three contributions for the expansion of electromobility and for its integration into the power grids, with the goal of keeping the need for grid expansion as low as possible through intelligent and cross-system energy management. Funding Institution Federal-and-state initiative "Innovative Hochschule" Project Duration January 2023 - December 2027 Partner Institutions Hochschule Karlsruhe Multiple practice partners Project Page Further Information Team IEN Schmidt, Michael Prof. Dr. rer. nat. +49 781 205-4788 schmidt@hs-offenburg.de Gasper, Rainer Prof. Dr.-Ing. +49 781 205-4882 rainer.gasper@hs-offenburg.de Aamoume, Amine Dipl.-.Staatsing. Zoom amine.aamoume@hs-offenburg.de Aniekwensi, Uchenna Johnpaul +49 781 205-4890 uchenna.aniekwensi@hs-offenburg.de Guerra Nunez, Philip Hernan +49 781 205-4826 philip.guerra@hs-offenburg.de Kasper, Evi Monique Zoom evi.kasper@hs-offenburg.de Lottermoser, Jens +49 781 205-4897 jens.lottermoser@hs-offenburg.de Quarti, Michael +49 781 205-4846 michael.quarti@hs-offenburg.de Vijay, Mehul +49 781 205-4983 mehul.vijay@hs-offenburg.de Wirwitzki, Michael +49 781 205-4606 michael.wirwitzki@hs-offenburg.de Wüst, Sylvia Zoom sylvia.wuest@hs-offenburg.de Management Schmidt, Michael Prof. Dr. rer. nat. +49 781 205-4788 schmidt@hs-offenburg.de Gasper, Rainer Prof. Dr.-Ing. +49 781 205-4882 rainer.gasper@hs-offenburg.de

HS Offenburg Research Institutes INES Energy Systems and Energy Economics Energy Systems and Energy Economics (Prof. Hartmann) An energy supply based on renewable energies with zero CO 2 emissions is technically and economically feasible. With this vision in mind, the EEW group is researching sustainable energy systems in two main areas: Within the framework of the Intersectoral Energy System Analysis , it develops scenarios and decision-making aids for stakeholders in industry, politics and society. With its open source model MyPyPSA-Ger, it can analyse local challenges in decentralised energy systems as well as assess challenges in national (intersectoral) energy systems. The research focus of energy management addresses the establishment of energy management processes. Above all, the focus is on accompanying management in industry, but also in public institutions, as well as on anchoring energy management responsibility in management. Around the focal points, the group conducts research on techno-economic challenges in the energy industry; currently specifically on synthetic electricity and heat load profiles of industrial companies. Projects KoRes Resilient Energy Systems for Municipalities, Regions, and Germany In the KoRes project, the IEN, E2G, and EEW research groups at INES, Kehl University of Applied Sciences, greenventory GmbH, and the City of Offenburg are jointly developing an interdisciplinary approach to strengthening energy resilience. The focus is on how energy systems at the local, regional, and national levels can be designed to be not only climate-neutral but also resilient to crises such as extreme weather, cyberattacks, or supply chain disruptions. Hochschule Offenburg is responsible for the technical work packages, in particular the further development of the MyPyPSA-Ger energy system model and the integration of national and municipal models. greenventory GmbH, based in Freiburg, is developing methods for spatial data analysis as well as a digital twin to assess risks and resilience indicators. The City of Offenburg contributes real-world use cases and develops concrete strategies and emergency plans for a crisis-resilient energy supply. Kehl University of Applied Sciences examines the economic, legal, and social framework conditions and derives recommendations for action for policymakers and administration. The project’s goal is to identify robust transformation pathways and concrete measures to strengthen the resilience of energy systems and to support municipalities in implementing a secure and climate-neutral energy supply. Project duration: March 2026 – December 2029 Funding: Federal Ministry for Economic Affairs and Energy Participating research groups at INES : Energy Systems and Energy Economics (EEW), Intelligent Energy Networks (IEN), Energy-Efficient Building Technology (E2G) Project partners: Kehl University of Applied Sciences (HSK) greenventory GmbH City of Offenburg Hydrogen Valley Südbaden According to a hydrogen potential survey, regional hydrogen demand on the German side of the border triangle between Offenburg and Basel is expected to be around 25,000 tons per year from 2027. On the other hand, there are currently renewable production capacities of around 1,000 tons of hydrogen per year. The connection to a supra-regional distribution network at federal or EU level will not take place before 2035. The South Baden region is thus characterized by overlapping location risks and disadvantages in a national and cross-border context. Given these parameters, hydrogen development paths up to the year 2045 are to be drawn up in South Baden and hydrogen in the South Baden energy system is to be evaluated. Building on this, integrated energy concepts will be developed at municipal level, adapted to the respective stakeholders and based on municipal heat planning and local renewable electricity generation potential, and new business model potentials will be identified, which should result in a marketable product. Funding period April 2024 - December 2027 Funding institution EFRE and State of Baden-Württemberg, Ministry of Finance ("RegioWIN 2030" program) Project partners Klimapartner Südbaden Offenburg University ITG - Infrastruktur-Trägergesellschaft mbH & Co. KG Pôle Véhicule du Futur Ind-Supply Industrial areas (industrial parks) are highly diverse, featuring structures that have developed in different ways, buildings of different ages and businesses from different sectors, each with different energy and resource consumption patterns. Businesses in these industrial areas are increasingly looking for solutions that provide a secure, cost-effective, and stable supply of heat and electricity which meets environmental criteria and is sustainable in the medium to long term. The Ind-Supply project addresses this issue by developing a (preliminary) planning tool for municipalities and planners of industrial areas. This overall goal will be achieved through a series of intermediate steps: 1. First, a systematic review of optimal energy supply options for industrial areas with a focus on local heat supply in close cooperation with case studies in the Elgersweier industrial area near Offenburg, in Dortmund, and in Stuttgart. 2. Second, the development of a systematic and key figure-based classification of industrial and commercial archetypes for the transferability of case studies to other industrial areas. 3. Third, possible climate- and resource-optimized development paths will be identified, considering the techno-economic and ecological implications of (typical) industrial areas as well as those relating to the circular economy, taking into account future opportunities for electricity, heat, methane, and hydrogen supply. Project Duration January 2025 – December 2027 Funding BMWE Project Partners greenventory GmbH Prognos AG Hochschule für Technik Stuttgart Hochschule Karlsruhe HKA Fraunhofer-Institut für Solare Energiesysteme ISE PyFlex PyFlex undertakes a detailed and holistic assessment of PyCCS technology as a flexibility provision measure in the German electricity and heating system. It quantifies and evaluates the potential of a flexible use of pyrolysis plants in a future energy system. Through the open-source development of the intersectoral energy system model "MyPyPSA-Ger", in which the agricultural sector is mapped, the competitive situation for (flexible) biomass use will also be evaluated. A model-based, techno-economic system evaluation of the flexibility of pyrolysis plants will be compared with a business analysis, including the consideration of business models and the effects of changes to the political and economic framework conditions. The evaluation will be supplemented by an ecological analysis. Funding period April 2024 - March 2027 Funding institution BMWK Project partner Institut für ökologische Wirtschaftsforschung (IÖW) IND-E Decarbonization and Electrification Potential in German Industry – Data, Stakeholders, and Models Model extensions related to industrial mapping and the creation of an analytical framework Creation of a consistent database on electrification and flexibility potentials Identification of transformation pathways in industry based on quantitative energy system modeling Integration of drivers and barriers in the area of sector coupling into solutions for industry Funding: Federal Ministry for Economic Affairs and Energy (BMWi) Duration: March 2021 – February 2024 BKM_2.0 Analysis of Peer-to-Peer Electricity Trading and Development of a Balancing Group Management System 2.0 The energy transition is bringing about not only technological change but also structural change in the energy system. There are already initial projects in which local producers and consumers use direct or peer-to-peer trading concepts to exchange dynamically varying amounts of electricity directly, without relying on the traditional structure of the energy supply system, such as energy markets or wholesalers. This raises the question of how these potential future trading structures will affect established balancing processes, such as balancing group management. The central goal of the “BKM_2.0” project, funded by the Federal Ministry for Economic Affairs and Energy, is to develop methodology, regulatory, and technical solutions for the integration and adaptation processes between traditional balancing group management and innovative energy trading processes. Project duration: December 2020 – November 2023 Funding: Federal Ministry for Economic Affairs and Energy (BMWi) Project partners: Fraunhofer ISE (ISE), Südwestdeutsche Stromhandels GmbH (SWS), Aschaffenburger Versorgungs-GmbH (AVG), Oxygen Technologies GmbH (Oxygen). MyPyPSA-Ger Model The MyPyPSA-Ger energy system model was developed to analyze the energy system with a view to achieving Germany’s planned emissions targets by 2050 using a myopic planning approach. MyPyPSA-Ger is an energy system model which was implemented using a “brownfield approach,” incorporating the status quo of power plants and the transmission grid in Germany in 2020, and with a high spatio-temporal resolution of up to 317 nodes and up to 8,760 hours per year. MyPyPSA-Ger makes it possible to explore new policy options within the framework of the energy system transformation and to draw quantitative conclusions. This allows for the identification of prospects for the energy transition in Germany, such as the impacts of altered emissions pricing trajectories, increased electrification of industry, increased sector coupling, or even a hydrogen economy. The model results help decision-makers work toward a climate-neutral energy system. Development of the MyPyPSA-Ger model is ongoing to incorporate all consumption sectors, storage technologies, and flexibility, as well as the interconnected grid with neighboring countries. The model will be released as an open-source model as part of a publication (currently under review). Further Information Team EEW Hartmann, Niklas Prof. Dr.-Ing. +49 781 205-4645 niklas.hartmann@hs-offenburg.de De Jesus Tabora, Cesar +49 781 205-4932 cesar.dejesus@hs-offenburg.de Domènech Monfort, Meritxell +49 781 205-4270 meritxell.domenech@hs-offenburg.de Guerra Nunez, Philip Hernan +49 781 205-4826 philip.guerra@hs-offenburg.de Pallàs Solà, Judith judith.pallas@hs-offenburg.de Sandhaas, Anna +49 781 205-4673 anna.sandhaas@hs-offenburg.de Vijay, Mehul +49 781 205-4983 mehul.vijay@hs-offenburg.de Management Hartmann, Niklas Prof. Dr.-Ing. +49 781 205-4645 niklas.hartmann@hs-offenburg.de