Master's Thesis Farid Ahmadipour DavaniCopyright: EBC
District heating (DH) is an important energy sector, in which energy efficiency needs to be improved. The use of renewable energy technologies is increasing rapidly to reduce fossil fuels in district heating sector. Solar district heating (SDH) is one of these technologies that provides heat for space heating and domestic hot water with a high solar fraction. Current control algorithms in district heating sector need to be further improved to satisfy the energy demand on the one hand and on the other hand to reduce the primary energy usage. Performing exergy analysis in district heating systems offers on the one hand a better understanding about the quality of energy flows and on the other hand a suitable tool to evaluate the performance of district heating systems. The main objective of this master’s thesis is the implementation of an existing exergy based model predictive control algorithm (BExMoC – Building Exergy-based Model Predictive Control Algorithm) in a solar district heating system (SDHS). In order to evaluate the performance of the BExMoC algorithm, different scenarios are defined. In all these scenarios, the exergetic cost of the solar district heating network is the main objective to be minimized. By performing software-in-the-loop experiments, all these scenarios are compared to make a statement on the performance of the BExMoC algorithm. Furthermore, it is proved whether the BExMoC algorithm is able to select plausible actuator set points, with which the exergy destruction and losses in the considered SDHS is minimized.