It is said that the cogeneration system(CGS) and Heat pump system(HP) are effective air conditioning systems for energy saving and CO
2 reduction in the commercial building. However, the economic, energy and environmental efficiency characteristics of these systems vary so much depending on the weather conditions and the demand patterns of heat and electric power.
In this research, we develop a model to evaluate the optimum capacity and the operating patterns of air conditioning system by nonlinear mixed integer programming in order to formulate the partial load properties of heating equipments in practical operation. Since our model involves the estimation procedure of energy load of the building based on the human density and the structure of that, it enables us to evaluate the optimum condition of tenants from the air conditioning demands.
The compatibility between the economy and the energy saving of the air conditioning system implementation planning has been the problem. We propose a new measure to develop an optimal energy saving system under the constraint of the investment recovery years as economic efficiency for the commercial building.
The results show us that the optimum planning depends on the regional weather conditions as well as energy equipments and energy load patterns.
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