Abstract
Polymer Electrolyte Fuel Cell(PEFC) is expected to become a promising technology for residential energy savings. Becuase daily consumption patterns of hot water demand are quite different, it is very important to evaluate the energy saving effect of PEFC considering the daily difference of hot water demand. Under an assumption which residents forecast a rough information on hot water demand at the next day, this paper proposed a daily start and stop algorithm for residential PEFC system using the forcasted information. Based on an observed data of hot water demand, the algorithm is evaluated from energy saving point of view. The simulation results indicate that (1) 3% improvment of energy savings when the information are set correctly, (2) 1.5% improvment of energy savings even if there are wrong information settings by residents and (3) 80% attainment compared to an ideal potential of energy savings.
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