A whale optimization of vapor compression refrigeration system

In this paper, a model-based optimization strategy for vapor compressor refrigeration system is proposed to reduce system energy consumption. More accurate components' models of the vapor compression refrigeration system are established. An improved whale algorithm with fast convergence rate is proposed to solve the optimization problem and obtain the optimal set-points for control settings. Compared with the traditional strategy, the energy consumption of vapor compression refrigeration system in the proposed optimization strategy is reduced by 15.28%. Meanwhile, the energy saving potential of the optimal control strategy is more remarkable for low cooling load. The proposed optimal control strategy can work well for applications in control and energy efficiency improvement of the existing system.