Abstract
We developed a comprehensive infrastructure simulator that optimizes the energy consumption of the city. The entire optimization of the simulator—including the planned network connecting the demand side to the supply side of the city—is a notable feature of the machine. The demand side equipment (air conditioning heat source type) and supply side infrastructure (system power, distributed power source, renewable energy, etc.) was prepared in advance considering the appropriate boundary conditions (electricity demand, weather, characteristics, etc.) of the city. Among these combinations, an optimal combination that maximizes an objective function (primary energy minimization, CO2 minimization, and cost minimization) that is an index for optimization is obtained by a genetic algorithm. Applying the developed simulator to Hamamatsu City, makes it possible to determine a new combination of photovoltaics (PV) + electrified air conditioning heat source as well as a typical combination of gas engine + exhaust heat recovery type air conditioning heat source. In the future, we propose applying the development simulator to more cases to verify its effectiveness.
Published Version
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