A high spatial resolution suitability layers to support feasible power plant site selection in China

China is undergoing significant energy system transitions to meet carbon neutrality targets, which requires the rapid deployment of new power plants, driven by the need for large-scale renewable energy expansion and increasing electricity demand. Moreover, the policy context emphasizes the critical...

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Bibliographic Details
Published inScientific data Vol. 12; no. 1; pp. 608 - 11
Main Authors Shen, Jianxiang, Wang, Rui, Zhang, Shihui, Wang, Jiachen, Wang, Can, Cai, Wenjia
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 11.04.2025
Nature Publishing Group
Nature Portfolio
Subjects
704/106/694/682
706/4066/4076
Alternative energy
Alternative energy sources
Carbon
Data collection
Data Descriptor
Datasets
Decision making
Electricity
Feasibility
Humanities and Social Sciences
Land use
multidisciplinary
Planning
Power plants
Protected areas
Renewable resources
Science
Science (multidisciplinary)
Site selection
Spatial data
Spatial discrimination
Technology
Thermal cycling
Wind power
China
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Summary:China is undergoing significant energy system transitions to meet carbon neutrality targets, which requires the rapid deployment of new power plants, driven by the need for large-scale renewable energy expansion and increasing electricity demand. Moreover, the policy context emphasizes the critical need for effective local land planning and integrated ecological conservation. However, current capacity expansion planning models primarily focus on provincial or regional scales and overlook key location- and technology-specific factors for feasible power plant site selection. To effectively address these challenges, we use a transparent and comprehensive assessment framework that supports high-resolution spatial analysis of power generation technologies in mainland China, named Geospatial Raster Input Data for Capacity Expansion Regional Feasibility in China (GRIDCERF-China). It provides suitability layers for 7 technologies in GeoTIFF format that can be easily integrated with various modeling tools. GRIDCERF-China fills a significant open-source data gap, offering valuable insights for regional feasible planning and decision-making while addressing diverse scientific objectives across future scenarios.
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-025-04937-6