The master's thesis addresses seasonal energy storage systems suitable for meeting the heating demands of a building throughout the year. Different types of thermal storage systems are presented, along with an explanation of the selection of the specific storage solution used. Simulations were conducted using the TRNSYS software tool. A review of scientific articles was carried out, which identified Type 342 as the optimal choice for our case. In the TRNBuild module, we defined a zone that enabled us to describe the thermal behavior of our building. Two types of energy demand simulations for heating were performed. The first simulated the basic heating needs of the building without a thermal storage unit. The second simulation modeled the heating needs of the building using a system with a sensible heat storage unit and solar collectors on the input side, and a discharge system that provided space heating through underfloor heating using the stored energy. The results obtained from the program were then optimized from both technical and economic perspective, allowing us to determine the optimal sizes of the thermal storage unit and the solar collectors. The technical analysis considered the maximum feasible coverage of the heating demand by the system. For the economic perspective, optimization was carried out by evaluating the return on investment for systems of different sizes. Finally, the thesis compares the results from both perspectives, evaluates them, and provides recommendations for future work.
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