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Smart Grids & Energy Markets

Head of Division

Philipp Staudt Philipp Staudt
+49 (0)721 608-48378
philipp staudt∂kit edu

Research Assistants

Julian_Huber Julian Huber
+49 (721) 9654 817



Esther Marie Mengelkamp

Esther Marie Mengelkamp
+49 (721) 608 48377
esther mengelkamp∂kit edu


Bent Richter Bent Richter
+49 (721) 608 48381
Frederik vom Scheidt

+49 (721) 608-48381





The Research Group

The research group Smart Grids & Energy Markets (SGEM) of the IISM stands for a decentral, socially balanced and efficient implementation of the energy transition. We design mechanisms that allow consumers to contribute to the success of the energy transition considering their preferences. To this end, we enable consumers to influence their energy consumption mix directly using information and decision support systems. Using innovative tariff structures, we ensure grid friendly coordination. By designing meaningful market and coordination mechanisms, we enable sector coupling in the system, combining the energy, heat and transportation sectors. In order to tackle these heterogeneous challenges, an interdisciplinary team is of great importance. The scientists of the SGEM research group have mostly completed interdisciplinary studies such as industrial engineering, information system design or mathematics & economics. Furthermore, our team includes economists and business & management graduates.

Our approach

We base our methodology on three columns: Market- & Mechanism Design, experimental research and the application of data analytics to energy related data sets. The origin of our research is often the necessity of improving coordination. Based on this need we design market mechanisms that allow such a coordination through decentral decisions without a regulatory coordinating body. This often includes the design of information systems that support decision-making or preference communication. To avoid unwanted externalities we test our designs in a behavioral laboratory or in real world experiments. Doing so we allow human agents to “play” with the mechanism while we observe their behavior. If only basic economic decision need to be tested, we use agent-based computational economics to test our assumptions. The last part of our research approach is the assessment of behavior, strategies and market outcomes using data analytics. The described sequence of steps can of course differ from research question to research question.

Our research

Our research results underline the economic potential of innovative information technology in the Smart Grid. From our results, we derive concrete requirements for the design of energy markets, systems and services. Our contribution to the implementation of the energy transition includes the identification of necessary adjustments of the regulatory framework.
Based on the described research interests the following projects provide an example of our research activities:

  • Design of market mechanisms based on Blockchain technology in a local energy market (see LAMP)
  • Design of market mechanisms to avoid grid congestion in the transmission system
  • Experimental evaluation of nudging approaches to coordinate electric vehicle charging
  • Setup of market models for the efficient coordination of supply and demand for sector coupling
  • Tariff design and experimental evaluation of their impact on the optimal coordination of demand and supply
  • Evaluation of the social impact of the energy transition both data based and experimental


Our data sets

Blockchain, Smart Grid, information, communication, technology, Energy Economics, grid, capacity, transmission, distribution, flexibility, DSM, Demand Response, DR, Demand Side Management, local, energy, markets, peak load, efficient, incentives, energy informatics, Energy Services, Market design, Market architecture, electric mobility, electric vehicle, preferences, prosumer, renewable energy, regulation, eEnergy