Abstract
It is said that the cogeneration system (CGS) is an effective countermeasure for energy saving and CO2 reduction in the commercial building. However, the economic, energy and environmental efficiency of CGS varies so much depending on the annual load factor and the demand patterns of heat and electric power.
In this research, we develop a model to evaluate the optimum decision on the capacity and the operating pattern of CGS by nonlinear mixing integer programming in order to formulate the partial load properties of CGS in practical operation, since the existing optimization models without partial load properties could have generated too optimistic evaluation of CGS.
The compatibility between the economy and the energy saving of the CGS implementation planning has been the problem. Our system proposes a new measure to develop an optimal energy saving system under the constraint of economic efficiency as the investment recovery years of CGS for the commercial building. Our system has been applied to the case of hotel building. The results show us that the optimum CGS capacity planning generated by our model provides more effective solution compared to the existing simulation tools used generally without optimization capability.
