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    YANG Ruoting, ZHANG Jiachen, FU Shaojie, MA Hongyuan, LI Xuehong, ZHU Xu. Carbon Emission Reduction Analysis of Photovoltaic Power Stations Based on Carbon Footprint Differences of Different Photovoltaic ModulesJ. Journal of Chinese Society of Power Engineering, 2026, 46(5): 117-126. DOI: 10.19805/j.cnki.jcspe.2026.250327
    Citation: YANG Ruoting, ZHANG Jiachen, FU Shaojie, MA Hongyuan, LI Xuehong, ZHU Xu. Carbon Emission Reduction Analysis of Photovoltaic Power Stations Based on Carbon Footprint Differences of Different Photovoltaic ModulesJ. Journal of Chinese Society of Power Engineering, 2026, 46(5): 117-126. DOI: 10.19805/j.cnki.jcspe.2026.250327

    Carbon Emission Reduction Analysis of Photovoltaic Power Stations Based on Carbon Footprint Differences of Different Photovoltaic Modules

    • To quantitatively assess the life-cycle carbon emission characteristics of photovoltaic power stations and the differences in the carbon footprints of various module technologies, a 100 MW photovoltaic power station in Northwest China was selected as the research object. Life cycle assessment (LCA) was employed to calculate the life-cycle carbon footprint, and the the carbon footprint evolution trends from 2025 to 2050 were analyzed for three mainstream modules: Passivated Emitter and Rear Cell (PERC), Tunnel Oxide Passivated Contact (TOPCon), and Heterojunction (HJT). Furthermore, four scenarios, including production process optimization, cell conversion efficiency enhancement, energy structure cleaning, and end-of-life PV modules recycling, were constructed to evaluate emission reduction potential. The results show that under the two end-of-life disposal scenarios of landfill and reuse, the total life-cycle carbon emissions of the power station are 89 908.96 t and 81 048.54 t, respectively, with the upstream PV module production stage contributing the most. The carbon footprints of the three cell technologies follow the order of PERC > TOPCon > HJT. It is predicted that the carbon footprints of the three types of cells will continue to decline, reaching a reduction of 24%-40% by 2050. Among the different emission reduction scenarios, the energy structure cleaning demonstrates the most significant emission reduction effect, capable of reducing total emissions by 36.87%-53.72%. The results indicate that upstream manufacturing and energy structure are key factors influencing the carbon footprint of PV power stations, and promoting the low-carbon transformation of the power system and the application of high-efficiency cell technologies is of great significance for achieving deep emission reductions in the PV industry.
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