Abstract

This study considers the roof characteristics of different types of buildings in the Yuntang campus of Changsha University of Science and Technology, and evaluates the overall potential for photovoltaic power generation and carbon reduction performance of the campus by simulating the roof solar radiation at multiple time scales. In addition, a photovoltaic charging system for electric bicycles suitable for the campus is proposed based on the usage of electric bicycle charging stations on campus. The Monte Carlo method is used to simulate the hourly probability distribution of the charging load, and the capacity of the photovoltaic charging system is optimized by integrating the simulated solar radiation, outdoor temperature and other data, in order to strengthen the relationship between electricity demand and energy supply of the campus.

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