Abstract
The main objective of this study is to clarify the impacts of partial load characteristics in industrial energy supply system on optimal operating planning and capacity of storage tanks through a numerical experiment. In order to analyze effects of non-linearity of partial load characteristics of the equipment, we calculate operational planning problems with various demand pattern adopting optimal approach based on Mixed Integer Quadratic Programming. In this paper, the industrial energy system consists of combined heat and power generator, absorption heat pump, gas-fired water heater, vapor compression refrigerator, storage tanks of hot and cold water, photovoltaic power generator and circulation pumps. As a result, it is found that equipment with strong non-linear partial load characteristic is operated at part-load operating point rather than rated point. Additionally, primary energy consumption can be reduced by 1.19% compared to regardless of non-linearity of partial load characteristic. Furthermore, method for regression of partial load characteristics affects optimal capacity of storage tanks. Each capacity corresponded to about 10 % of the cumulative daily load of peak day.
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