Operational optimization of large-scale district CCHP system with complex influence factors

Taking the CCHP system of a district energy center in Shanghai as the research object and the primary energy consumption and operation cost as optimization indexes, compares and analyses the measured data at the daily total cooling capacity of 60 MW·h and theoretical calculation data at 330 MW·h and 600 MW·h. The results show that the optimal potential of the current 60 MW·h operation mode is very significant; the natural gas price is the key factor affecting the operation cost; the least energy consumption and the lowest operation cost can not be realized simultaneously, and the latter has greater optimal potential; the lower the daily total cooling load, the more the optional operation combination and the higher the saving potential. In order to realize the optimal regulation of large-scale CCHP system based on annual daily load, developing an intelligent control system with load forecasting function is necessary.