Lucio Munari, Roberto Romano
Optimization for the design of renewable energy communities.
Rel. Vincenzo Corrado, Simona Paduos. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2023
Abstract
The evolution of the challenges linked to climate change and the growing energy demand have driven the adoption of innovative approaches in the energy sector. Renewable energy communities (RECs) emerge as a permanent solution, allowing the production, distribution, and consumption of electricity from renewable sources at a local level, downsizing the electricity distribution network and reevaluating the concept of locality, community and energy efficiency. This master's thesis focuses on the design and optimization of such communities by means of a software written in Python that exploits algorithms and automation approaches in order to reduce working time and simplify the overall process.Throughout this work, the following key areas were explored: ●??Design of the energy production plant from renewable sources, specifically photovoltaic technology.
It includes optimizing the arrangement of the modules, simulating the annual producibility with an hourly timestep and reporting graphs and technical diagrams; ●??Sizing of the electrical loads of the users, guaranteeing a specific degree of detail based on the power inventory of the electrical loads, simulating the demand for electricity on an hourly basis; ●??Study of the combinations of users within the renewable energy community, analyzing the energy response by means of graphic tables dedicated to the individual energy vectors, to obtain the combination of users capable of optimizing the amount of shared energy and the consequent economic return
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