Optimization, sizing and simulation of hybrid energy systems for heating demand: integrating heat pumps, boilers and photovoltaic panels

This thesis presents the development of an advanced software for the optimization, sizing, and simulation of hybrid energy systems in building applications to satisfy Heat demand. The focus is on a hybrid configuration integrating a heat pump, boiler, photovoltaic panels, with the goal of minimizing both operational costs and CO₂ emissions. The optimization is performed using the Gurobi solver and accounts for hourly thermal demands and ambient conditions over an entire year.