Low-carbon development of urban power grids in China: Quality assessment, obstacle analysis, and potential release

Shenghua Wang, Yan Li, Dawei Liu, Xuhui Luo and Yitan Sun

Energy, 2024, vol. 304, issue C

Abstract: Urban power grid planning plays a pivotal role in the process of reducing carbon dioxide emissions from power grids. Traditional grey target models and analytic hierarchy processes fail to reflect the diversity of resource endowments in urban areas and cannot provide targeted solutions for carbon reduction strategies in urban power grids, representing a critical issue that urgently needs addressing. This paper introduces an enhanced grey target model based on the ‘source-grid-load’ system, establishes a quality evaluation index system for low-carbon development, and employs the Analytic Hierarchy Process - entropy weight method to account for the differentiated impacts of urban power grid partition resources. It conducts a comprehensive assessment of overall potential through multi-dimensional relative target centrality and identifies and examines key factors in low-carbon development potential using single-dimensional relative target centrality. The findings indicate that the refined grey target model, focusing on relative target centrality, effectively identifies areas with significant low-carbon development opportunities and assesses their developmental scope across various metrics, thereby providing strategic insights for carbon reduction planning in urban power grids under multi-objective decision-making conditions. This method will decrease CO2 emission by 21.38 % in 2030.

Keywords: Low-carbon development; Urban power grids; Grey-target model; Analytic hierarchy process (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224018863
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:304:y:2024:i:c:s0360544224018863

DOI: 10.1016/j.energy.2024.132112

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().