Optimal Design of Parameters and Coupling study on Multi-objective of a Combined Cooling Heating and Power System

Optimal design is critical to the efficient operation of the combined cooling heating and power (CCHP) system, different design combinations will definitely lead to different characteristics. However, the problem of balancing different system performance by regulating the capacity of facilities and key parameters still remain unclear. This paper designs a CCHP system with the storage unit and the electric chiller. A multi-objective model considering the energetic, economic and environmental benefits has been built, aiming to optimize the rated power of the power generation unit (PGU), the capacity of storage unit, the electric chilling ratio and the on-off coefficient of the PGU. Moreover, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is adopted to solve the optimal model, thus obtaining multiple optimal designing combinations focusing on different performance. The energy saving rate is chosen as an example, which is used for revealing the inherent effects of all designing parameters on the system performance. Furthermore, the coupling relationships between these objectives are quantified, thereby providing the reliable method of balancing the benefits of all participants for the decision-makers in the designing process.