Research on Carbon Emission Analysis and Monitoring Technology for Multi-energy Power Systems

The energy sector stands as China’s largest source of carbon emissions, pivotal to achieving carbon peak and neutrality goals. This article focuses on the issue of carbon emissions in multi-energy power systems, exploring how to effectively monitor and analyze the carbon emissions of power systems in the context of a diversified energy structure. By integrating data on various energy sources including fossil, hydropower, wind, and photovoltaic power, leveraging advanced Internet of Things (IoT) technology, the study delves into the carbon emission profiles of these sources throughout the generation, transmission, distribution, and consumption phases, and outlines the associated calculation methods. Additionally, the paper explores advanced carbon monitoring approaches for power systems with concurrent multiple energy sources, developing a comprehensive framework for collaborative electric-carbon monitoring that encompasses data collection, processing, analysis, and storage. This framework effectively spans various temporal and spatial scales, enabling precise and dynamic monitoring of power carbon emissions, thereby strongly supporting the power industry’s transition to a low-carbon future.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775467
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

Research on Carbon Emission Analysis and Monitoring Technology for Multi-energy Power Systems

Fang Xie, Guanying Wang, Le Yang, Yuwei Shang
1 citations
Smart Grid and Power Systems
0.21
article

Research on Carbon Emission Analysis and Monitoring Technology for Multi-energy Power Systems

Fang Xie, Guanying Wang, Le Yang, Yuwei Shang
article en
1 citations

Abstract

The energy sector stands as China’s largest source of carbon emissions, pivotal to achieving carbon peak and neutrality goals. This article focuses on the issue of carbon emissions in multi-energy power systems, exploring how to effectively monitor and analyze the carbon emissions of power systems in the context of a diversified energy structure. By integrating data on various energy sources including fossil, hydropower, wind, and photovoltaic power, leveraging advanced Internet of Things (IoT) technology, the study delves into the carbon emission profiles of these sources throughout the generation, transmission, distribution, and consumption phases, and outlines the associated calculation methods. Additionally, the paper explores advanced carbon monitoring approaches for power systems with concurrent multiple energy sources, developing a comprehensive framework for collaborative electric-carbon monitoring that encompasses data collection, processing, analysis, and storage. This framework effectively spans various temporal and spatial scales, enabling precise and dynamic monitoring of power carbon emissions, thereby strongly supporting the power industry’s transition to a low-carbon future.

North China Electric Power University (CN), China Electric Power Research Institute
Openalex Percentile: Top 45%
Smart Grid and Power Systems
0.21
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Research on Carbon Emission Analysis and Monitoring Technology for Multi-energy Power Systems — Fang Xie, Guanying Wang, et al. · (2024) | TGRS Research Map | TGRS