报告详情
Study on Electricity Carbon Factor Analysis and Carbon Reduction Strategies for Industrial Parks
编号：41
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更新：2025-10-11 22:30:01 浏览：3次
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摘要
In response to the refined carbon management requirements under the international green trade concept, this study addresses the limitations of the traditional average
emission factor method in terms of temporal and spatial accuracy, and proposes carbon reduction strategies tailored for industrial parks. Taking a typical industrial park as the empirical case, the study first constructs a node-level dynamic electricity-carbon factor model. By integrating carbon emission flow theory with power grid topology and hourly power flow data, the model enables the tracking of carbon emissions at load nodes. Empirical analysis reveals significant spatial variation and clear temporal patterns in the carbon intensity of industrial parks. Based on this, three categories of carbon reduction pathways are designed. For coal-power-dependent enterprises,
deploy intelligent load-shedding systems and rooftop photovoltaics. For wind-power-sensitive enterprises, guide the implementation of load-wind power coordinated dispatch and energy storage for peak shifting. For enterprises near PV generation, promote the establishment of production scheduling aligned with the "midday low-carbon window" and supporting energy storage. Simultaneously, an innovative cross-enterprise shared energy storage mechanism is proposed. This mechanism utilizes spatiotemporal shifting technology to integrate midday PV resources with nighttime wind power resources. The research outcomes epitomize the paradigm shift in industrial
park carbon management from extensive control to precision governance, providing a replicable pathway for systemic carbon reduction.
关键词
Electricity Carbon Emission Factor,Carbon Emission Flow Theory,Carbon Reduction Strategy,Industrial Parks
报告人
Yang Li
Low-Carbon Power Tec Sichuan Energy Internet Research Institute Tsinghua University稿件作者
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重要日期
-
会议日期
11月07日
2025
至11月09日
2025
-
10月12日 2025
初稿截稿日期
-
10月20日 2025
注册截止日期
主办单位
IEEE西南交通大学IAS学生分会
承办单位
西南交通大学电气工程学院
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
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