E3S Web of Conferences (Jan 2024)

Prospective Analysis of University Carbon Reduction Based on Photovoltaic Utilization - Taking Jinnan Campus of Nankai University as an Example

  • Liu Rujie,
  • Wang Xiao,
  • Zhu Li,
  • Li Fangfang

DOI
https://doi.org/10.1051/e3sconf/202449001008
Journal volume & issue
Vol. 490
p. 01008

Abstract

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In order to reduce campus carbon emissions, the accounting boundary and accounting list of carbon emissions of Nankai University's Jinnan Campus were set. On this basis, the carbon emissions of Nankai University Jinnan Campus were calculated using the emission factor method. Based on the PVsyst simulator, calculations were made to obtain the annual photovoltaic power generation and then to analyze its contribution to the carbon reduction of the campus. Conclusion: Between 2017 and 2020, the carbon emissions generated by buildings were the main influencing factor for campus carbon emissions. The net carbon emissions of Jinnan Campu were 50167.34 tons, 51848.27 tons, 50674.08 tons, and 42330.47 tonss from 2017 to 2020, respectively, reaching their peak in 2018. The total area of campus greenery, water bodies, and currently undeveloped areas is 602400m2. It is possible to consider installing a photovoltaic power generation system in 50% of the area, which is 301200m2. Using PVSyst to simulate the photovoltaic power generation system of Jinnan Campus, it was calculated that its annual power generation is about 28868000 kWh, replacing traditional electricity, which is equivalent to saving 108 tons of standard coal and reducing carbon emissions by 21073.64 tons per year. This can offset more than 40% of the net carbon emissions of the campus, which is very beneficial for the construction of low-carbon campuses. Campus photovoltaic construction relies on the huge roof resources of colleges and universities, and with the help of planning advantages, architectural advantages and energy-use advantages, it forms a photovoltaic power generation system suitable for the characteristics of schools. It not only reduces the initial investment cost, but also improves the economic efficiency and ecological benefits. The method proposed in this study can be applied to quickly and accurately evaluate the potential of campus photovoltaics. By combining more accurate hourly energy consumption data, it is possible to develop a reasonable photovoltaic utilization strategy for the entire campus and various functional clusters. Promoting to various campuses can promote the formation of more renewable energy substitution projects, reduce carbon emissions for campus communities and the entire society.