This PhD project will support the R&D of novel building-integrated renewable energy systems through the development of a multi-criteria decision-support framework. The project will explore optimal combinations of PV and solar thermal energy harvesting as part of the overall building energy system, including energy storage. Through the integration of such systems in the building envelope (incl. facades and glazed areas), balanced trade-off solutions can be found considering multiple competing performance criteria, such as: CO2 emissions, indoor environmental quality (thermal and daylight), onsite energy matching and life-cycle costs.
The objective of this project is to advance modeling and simulation techniques to help bridge the gap between building and energy systems design, as well as the integration of innovative BIPV/T systems in the urban environment. Techniques for 'optimization under uncertainty' will be developed, while it is foreseen that the modeling and simulation work will also be combined with data analytics and monitoring campaigns in the outdoor testing lab SolarBEAT: https://www.tue.nl/en/research/research-labs/solarbeat/
The research will be embedded in the Building Performance (BP) research group at the Department of the Built Environment (https://www.tue.nl/buildingperformanc
) and will be carried out in close collaboration with a network of industrial partners from both the building and the solar industry.