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Research areas


  • Project and Resource Management in the built environment
    Group leader: Dr.-Ing. Rebekka Volk
    The aim of our research group is the decision support for project and resource management in the built environment. With the help of several scientific methods we answer questions which are relevant in practice, e.g. in free market economy. We have the most of our experience in the fields of deconstruction and recycling economy as well in energy efficiency and renewable energies in buildings.
    Current projects are dealing with the development of immission reduction concepts for deconstruction, the camera-based assessment of buildings, digital modeling of buildings and the optimization of building and plant deconstruction (including nuclear facilities). Furthermore, we analyse energy efficiency of and renewable energies in districts. Additionally, stakeholders in these districts are analysed to give recommendation how to treat them. Building-integrated photovoltaics in Germany are technologically and economically assessed and environmental instruments in the heating sector are evaluated by integrated modeling of households and buildings. We also focus on the regional resource management in the building industry and its stakeholders to give recommended courses of action for an optimized resource management.


  • Sustainable Value Chains
    Group leader: 
    Dr.-Ing. Simon Glöser-Chahoud

    research focus on "sustainable value chains" are approaches to techno-economic and environmental analysis, evaluation and planning of production and logistics systems developed. The objects of observation are both individual processes and aggregates as well as intra-and inter-company process chains with all associated logistical, organizational and information technology functions.


  • Risk management
    Group leader: Dr. rer. pol. Marcus Wiens
    The research group supports decision makers in the whole field of risk management, particularly in the management of systemic risks in the industrial value chains , critical infrastructure , as well as in markets with network effects.

    The increasing complexity and speed of decisions in a globally connected world, risk management is a demanding challenge for companies and governments. So moves the threat to critical infrastructure by climate disasters, economic crime and terrorism increasingly to the fore.



  • Energy markets and energy systems analysis
    Group leader: Dr. rer. pol. Dogan Keles
    The overall objective of the workgroup Energy Markets and Energy Systems Analysis (EMESA) is the analysis of energy markets and energy systems.
    The development and application of decision-support models ( the agent-based simulation model PowerACE, the optimizing energy and material flow model PERSEUS) is an important part of the research of the workgroup.

    In the context of current market analyses, for example, the impact of renewable energies (merit-order effect) and emissions trading on the electricity market is considered. Due to the enormous expansion of renewable energies, the question of market integration of renewable energy sources is becoming increasingly important. This finds consideration i.a. in the analysis of capacity markets and the long-term market design. Therefore the research covers the investigation whether the energy-only market can put enough investment incentives in order to guarantee long-term security of supply or whether a capacity mechanism should be introduced as a new market segment for the product guaranteed capacity.



  • Transport and energy
    Group leader: Dr. rer. pol. Katrin Seddig
    The overriding objective of the research group “Transport and Energy” is to determine the impacts of electric vehicles on energy systems and material flows, which is achieved through techno-economic analyses. We define a techno-economic analysis as an interdisciplinary analysis incorporating technical, business, economic, socioeconomic and ecological aspects, which in our case is supported by agent-based simulation models or energy and material flow models.