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.
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
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