Author(s)

Xinsheng Qin, Xiaoling Wu

Digital Intelligence Supply Chain Innovation Research Centre, Guangzhou College of Commerce, Guangzhou, China.

The growing interest in energy conservation has inspired companies to seek alternatives to highly polluting fuel electricity generation. This study designed an optimised solar wind power generation system to fulfil the energy requirement of a cold chain logistics centre. This study first conducted a thorough analysis of the clarity indicators and daily temperature positions of the cold chain logistics centre, determined the average daily electricity demand, and proposed an effective design scheme. The energy simulation software, RETScreen 8.0, was used to determine the scale of solar photovoltaic and wind power projects that meet the expected energy needs of the cold chain logistics centre. The results indicated that the estimated annual total energy demand was 833689.2 kWh. The annual power generation of 6 kW from solar photovoltaic projects and 150 kW from wind power projects was found to be enough to meet the expected electricity demand. Solar photovoltaic power generation and wind power generation account for 2.44% and 97.56%, respectively. The hybrid energy system achieved a 96.6% reduction in carbon emissions and provides a reasonable payback period of 6.1 years and an electricity generation of 904368.674 kWh per year. The feasibility of the project and the calculated period of investment return are very reasonable. Therefore, this hybrid renewable energy system provides reliable power by combining energy sources.

Solar Photovoltaic, Wind Power, Energy, Cold Storage, Microgrid

Qin, X. and Wu, X. (2023) Optimal Design of Grid-Connected Microgrid System for Cold Chain Logistics Centre in China. Journal of Power and Energy Engineering, 11, 64-81. doi: 10.4236/jpee.2023.1112005.