ReMaP research topics and projects


Within the ReMaP project, scientific projects focus on specific research topics. Currently, there are ten projects that have already been launched or will be launched in the near future (more will follow):

  1. Distributed state estimation and system operation (Prof. Florian Dörfler): Combination of state estimation and feedback control for real-​time control and operation of distribution grids, taking into account measurement noise, latency, communication delays and sensor unavailability
  2. Privacy vs. cost efficiency (Prof. Gabriela Hug): Implementation of an energy management system to optimize local storage subject to trade-​off between economic objectives and privacy protection
  3. Reliability assessment (Prof. Giovanni Sansavini): Investigation of reliability of multi-​energy systems in response to failures or operational constraints of components and changes in environmental conditions
  4. Data-​driven emulations of virtual neighborhoods (Prof. Arno Schlüter): Exploitation of data from ESI and NEST to improve modeling of electrical and thermal loads in virtual neighborhoods and advance urban planning
  5. Evaluation and combined heat and power (CHP) concepts and integration into future energy systems (Prof. Konstantinos Boulouchos): Theoretical and experimental investigation of CHP plants with thermal-​energy storage or exhaust-​gas reforming to produce hydrogen or methane and interaction with other conversion and storage technologies
  6. Battery storage (Dr. Sigita Trabesinger): Development of algorithms to identify safety-​endangering battery states and to predict the lifetime of battery chemistries
  7. Power-​electronics test bench (Prof. Maria Lukatskaya): Assessment of the lifetime of commercial supercapacitor systems and investigation of effective pairing of supercapacitors and batteries
  8. Integrated modeling of multi-​energy systems (Dr. Turhan Demiray): Development of unified and modular simulation framework for multi-​ energy systems incorporating both non-​linear and reduced-​order models
  9. Advanced control algorithms for future energy systems (Prof. John Lygeros): Online optimization for peak shaving of photovoltaic electricity at the neighborhood scale using an electrolyzer and a fuel cell and exploiting data from weather forecasts
  10. Electrochemical energy storage (Prof. Thomas Schmidt): Investigation of combination of batteries and electrolyzer for peak shaving, seasonal storage, and mobility