A Forecasting Method for Provincial-level Energy Supply and Demand under Carbon Quota Constraint

Energy is the foundation of national economy and the main field for carbon reduction, and its future development of energy supply and demand has a significant impact on constructing the new energy systems and achieving the carbon peak and carbon neutralization targets. Considering multiple factors such as economic and social development status, energy consumption characteristics of each province, an indicator system for carbon quota allocation is constructed, encompassing aggregate and relative metrics, and balancing equity with efficiency, and a provincial-level energy supply-demand forcasting method under carbon quota constraints is proposed to achieve comprehensive balance analysis and prediction of primary and secondary energy of different varieties and industries covering the entire process. Based on China's carbon peak target in 2030, an empirical analysis is carried out with Shandong Province as an example to verify the effectiveness of the proposed method, which provides a reference for different provinces in carbon emissions control and energy transformation.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202410088
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

A Forecasting Method for Provincial-level Energy Supply and Demand under Carbon Quota Constraint

SHILAP Revista de lepidopterología
Integrated Energy Systems Optimization
article

A Forecasting Method for Provincial-level Energy Supply and Demand under Carbon Quota Constraint

article en

Abstract

Energy is the foundation of national economy and the main field for carbon reduction, and its future development of energy supply and demand has a significant impact on constructing the new energy systems and achieving the carbon peak and carbon neutralization targets. Considering multiple factors such as economic and social development status, energy consumption characteristics of each province, an indicator system for carbon quota allocation is constructed, encompassing aggregate and relative metrics, and balancing equity with efficiency, and a provincial-level energy supply-demand forcasting method under carbon quota constraints is proposed to achieve comprehensive balance analysis and prediction of primary and secondary energy of different varieties and industries covering the entire process. Based on China's carbon peak target in 2030, an empirical analysis is carried out with Shandong Province as an example to verify the effectiveness of the proposed method, which provides a reference for different provinces in carbon emissions control and energy transformation.

SHILAP Revista de lepidopterología
Energy Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 57%
Integrated Energy Systems Optimization
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