中国电力2025，Vol.58Issue(12)：107-118,12.DOI:10.11930/j.issn.1004-9649.202507056
电力系统中抽水蓄能电站电力碳足迹计算分析
Calculation and Analysis of the Electricity Carbon Footprint of Pumped Storage Power Stations in Power Systems
摘要
Abstract
Quantitative analysis of the carbon footprint of pumped storage power stations(PSPS)is conductive to the quantitative study on the green and clean attributes of pumped storage stations and improve the national average electricity carbon footprint factors.Based on the life cycle assessment(LCA)approach,this study analyzes carbon emission sources and their quantities of five typical PSPSs across all stages:including pre-construction preparation,construction,operation&maintenance,and decommiss-ioning.Furthermore,it proposes an emission calculation method tailored to application scenarios for the pumping-generation phase.When used to improve the average carbon footprint factor for national power industry,the Jilin Dunhua PSPS(hereafter referred to as Dunhua Station)records a total lifecycle carbon emission of 1.7486 million tonnes.The daily operational emissions during its operation phase constitutes the primary source,accounting for more than 41%.At a 95%confidence level,the electricity carbon footprint from Dunhua Station ranges within[0.0235,0.0266]kg/(kW·h).The average carbon footprint across the five studied PSPSs is 0.0238 kg/(kW·h),with operational maintenance costs and non-traceable construction costs identified as significant influencing factors for Dunhua Station.After incorporating the impact of pumped storage,the 2023 national average carbon footprint for electricity is calculated at 0.6206 kg/(kW·h).The influence of pumped storage on this national average is found to be less than one-thousandth(＜0.1%).关键词
抽水蓄能/生命周期/电力碳足迹/碳排放/不确定性分析Key words
pumped storage power/life cycle/electricity carbon footprint/carbon emission/uncertainty analysis引用本文复制引用
XU Sanmin,ZHANG Gong,ZHANG Yiwen,LIU Yanzhen,ZHANG Binliang,TANG Jin..电力系统中抽水蓄能电站电力碳足迹计算分析[J].中国电力,2025,58(12):107-118,12.基金项目
国网新源集团有限公司科技项目(SGXYKJ-2024-078). This work is supported by Science and Technology Project of State Grid Xinyuan Group Co.,Ltd.(No.SGXYKJ-2024-078). （SGXYKJ-2024-078）
