ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1658113
Photovoltaic Power Generation Spatial Planning and Carbon Emission Reduction Benefit Assessment Based on Integrated Model: A Case Study of Qinghai Province
Provisionally accepted- CDTU, Chengdu, China
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As an important source of clean energy, the Photovoltaic (PV) industry still requires in-depth research to optimize its development space and maximize carbon emission reduction benefits. This study takes Qinghai Province as the research area, integrating topographical, climatic, and economic factors to establish a Photovoltaic suitability evaluation system encompassing 15 indicators. Subsequently, the spatial distribution of feasible development zones was assessed, taking into account various constraints. Then, the binary local Moran's I index method was used to analyze its spatial coupling relationship with electricity consumption. Finally, the benefits of carbon emission reductions were quantified. The results indicate that approximately 52.61% of Qinghai Province is considered to be an area with development potential,with a spatial distribution characterized by three belts and two areas. Meanwhile, there is a significant correlation between Photovoltaic power generation potential and electricity demand.It is predicted that by 2030, Qinghai Province's electricity consumption will reach 1.235×1012 kwh. To achieve a balance between supply and demand, it will be necessary to construct approximately 18,849.35 km2 of Photovoltaic power generation facilities, which are expected to reduce carbon dioxide emissions by 9.48×108t annually. This study provides scientific basis for the optimized development of the Photovoltaic industry, helping to achieve regional energy transition and carbon emission reduction targets, and promoting sustainable development.
Keywords: combination empowerment, Suitability, photovoltaic potential area, moran's I, Carbon emission reduction
Received: 02 Jul 2025; Accepted: 06 Aug 2025.
Copyright: © 2025 He, Wang, Zhong and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qianrong Zhang, CDTU, Chengdu, China
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