Sustainable Energy Systems

The Sustainable Energy Systems research group provides its know-how and develop tools to support the design and operations of energy systems, with a specific focus on renewable energy and smart grid solutions.


The main expertise fields are the following:

  • Development of modelling tools (e.g. for model-based control of grid integration measures)
  • Development and simulation-based test of new business models for demand-side flexibility, energy storage or virtual power plants
  • Data-driven learning algorithms e.g. to valorise smart meter data
  • Sensor-networks & remote sensing applications to optimize energy systems operation
  • Optimisation methods & Design support systems to attain the right trade-off between cost, reliability and environmental impact

The research group profits also from its integration in an environmental research department, granting researchers access to competences and resources in the fields of environmental informatics and remote sensing, in addition to the sustainability assessment expertise provided within the unit.

Main assets

  • Forecasting algorithm and modelling framework for the regionalized intra-day and day(s)-ahead photovoltaic power forecast
  • Simulation environment for renewable energy scenario simulations and the assessment of grid integration aspects
  • Outdoor test-field for photovoltaic modules


  • A Tractable Approximation Approach to Deal with the Binary Nature of Shiftable Loads in Multi-Period Optimal Power Flow, II Avramidis, F Capitanescu, G Deconinck, 2020 IEEE Texas Power and Energy Conference (TPEC), 1-6
  • An Efficient Mixed-Integer Linear Programming Model for Optimal Sizing of Battery Energy Storage in Smart Sustainable Buildings, M Mehrtash, F Capitanescu, PK Heiselberg, 2020 IEEE Texas Power and Energy Conference (TPEC), 1-6
  • Short-term and regionalized photovoltaic power forecasting, enhanced by reference systems, on the example of Luxembourg, D. Koster, F. Minette, C. Braun, O. O'Nagy; Renewable Energy; Volume 132; 2019; Pages 455-470.
  • TSO–DSO interaction: Active distribution network power chart for TSO ancillary services provision, F. Capitanescu, Electric Power Systems Research 163, pp. 226-230, 2018. 
  • Challenges Ahead Risk‐Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems, F. Capitanescu, chapter in the book "Dynamic Vulnerability Assessment and Intelligent Control: For Sustainable Power Systems", pp. 149-176, Wiley & Sons, 2018. 
  • AC OPF-based Methodology for Exploiting Flexibility Provision at TSO/DSO Interface via OLTC-Controlled Demand Reduction, F. Capitanescu, PSCC conference, Dublin (Ireland), June 2018. 
  • Life Cycle Assessment of biogas production by monofermentation of energy crops and injection into the natural gas grid, C. Jury, E. Benetto, D. Koster, B. Schmitt, J. Welfring; Biomass and Bioenergy; Volume 34; Issue 1; 2010; Pages 54-66.
Research domains
  • Environment

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Dr-Ing. Enrico BENETTO
Dr-Ing. Enrico BENETTO
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