基于LMDI方法的企业办公领域碳达峰路径研究——以电力企业为例

Research on Carbon Peak Path in Enterprise Office Field Based on LMDI Method—A Case Study of Electric Power Enterprise

摘要: 本研究聚焦于某电力企业行政办公领域的碳排放问题，运用对数平均除数指数(LMDI)方法，深入剖析碳排放驱动因素，并探索碳达峰路径。研究结合Kaya恒等式与LMDI分解法，针对能源碳排放系数(ΔCE)、能源结构(ΔES)、建筑面积能源强度(ΔEI)、人均建筑面积(ΔAP)及人员规模(ΔP)等因素展开分析。基于对企业办公领域碳排放现状的全面分析，本研究构建了Kaya-LMDI分解模型，并借助情景分析法对2025年至2035年的碳排放趋势进行预测。结果显示，能源结构的协同优化、能效提升以及办公规模的合理控制是实现行政办公领域碳达峰的关键举措。本研究为企业制定精准的碳减排策略提供了理论支持和实践参考。

Abstract: This study focuses on the carbon emission issue in the administrative office field of a certain power enterprise. By using the logarithmic Mean divisor Index (LMDI) method, it deeply analyzes the driving factors of carbon emissions and explores the path to carbon peaking. The study combines the Kaya identity and the LMDI decomposition method to analyze factors such as the energy carbon emission coefficient (ΔCE), energy structure (ΔES), energy intensity of building area (ΔEI), per capita building area (ΔAP), and personnel size (ΔP). Based on a comprehensive analysis of the current situation of carbon emissions in the enterprise office field, this study constructed the Kaya-LMDI decomposition model and predicted the carbon emission trend from 2025 to 2035 with the help of the scenario analysis method. The results show that the collaborative optimization of the energy structure, the improvement of energy efficiency, and the reasonable control of office scale are the key measures to achieve carbon peaking in the administrative office field. This research provides theoretical support and practical reference for enterprises to formulate precise carbon emission reduction strategies.