Reducing environmental pollution and fuel consumption using optimization algorithm to develop combined cooling heating and power system operation strategies

Abstract

A combined cooling heating and power model with photovoltaic generation unit, thermal storage tank and battery is established to improve energy efficiency and reduce carbon emissions in combined cooling heating and power model for achieving cleaner production and environmental pollution reduction, and the hybrid following the electric load strategy and hybrid following the thermal load strategy are proposed based on the following the electric load strategy and following the thermal load strategy. Besides, the chaos-mutation-whale optimization algorithm is proposed to solve the models by using chaotic initialization and mutation rules into the original whale optimization algorithm. A large hotel case is used to analyze the feasibility of the proposed method. The result demonstrates the electricity import saving ratio, primary energy saving ratio and fuel consumption to cost ratio are 62.07%, 35.75% and 1.47% under the hybrid following the thermal load strategy, and the chaos-mutation-whale optimization algorithm achieves optimization in a shorter number of iterations. The performance indicators are better than the following the electric load, following the thermal load and hybrid following the thermal load strategies, indicating that environmental pollution and fuel consumption are greatly reduced by using the proposed method, which is of great significance to the realization of cleaner production and environmental sustainability. This study is carried out under ideal circumstances.