High-resolution gridded dataset of China’s offshore wind potential and costs under technical change
Abstract Assessing the dynamics of offshore wind potential and costs is essential for low-carbon energy policy decision-making and energy modeling, but no open-source, spatial explicit and technologically detailed dataset is available. This study addresses this gap by employing a consistent assessme...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04428-8 |
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| _version_ | 1832594995664650240 |
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| author | Kangxin An Wenjia Cai Xi Lu Can Wang |
| author_facet | Kangxin An Wenjia Cai Xi Lu Can Wang |
| author_sort | Kangxin An |
| collection | DOAJ |
| description | Abstract Assessing the dynamics of offshore wind potential and costs is essential for low-carbon energy policy decision-making and energy modeling, but no open-source, spatial explicit and technologically detailed dataset is available. This study addresses this gap by employing a consistent assessment framework that integrates GIS analysis, a wind reanalysis model, a component-based cost model and scenario analysis. It identifies suitable space for offshore wind deployment considering 12 technical and policy constraints, estimates hourly output curves, capacity factors, and technology cost dynamics by components across 5058 grid points with a 10 km resolution from 2020 to 2035 under three technical change scenarios. The dataset has been validated through comparisons with existing offshore wind projects and datasets, and is stored in two formats (GeoTIFF and NetCDF4). This dataset offers extensive potential for use as an input in climate policy and energy system research. |
| format | Article |
| id | doaj-art-aadb0aee4c4244fb8d2ea51dfb02162c |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-aadb0aee4c4244fb8d2ea51dfb02162c2025-01-19T12:09:58ZengNature PortfolioScientific Data2052-44632025-01-0112111210.1038/s41597-025-04428-8High-resolution gridded dataset of China’s offshore wind potential and costs under technical changeKangxin An0Wenjia Cai1Xi Lu2Can Wang3State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua UniversityMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua UniversityState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua UniversityState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua UniversityAbstract Assessing the dynamics of offshore wind potential and costs is essential for low-carbon energy policy decision-making and energy modeling, but no open-source, spatial explicit and technologically detailed dataset is available. This study addresses this gap by employing a consistent assessment framework that integrates GIS analysis, a wind reanalysis model, a component-based cost model and scenario analysis. It identifies suitable space for offshore wind deployment considering 12 technical and policy constraints, estimates hourly output curves, capacity factors, and technology cost dynamics by components across 5058 grid points with a 10 km resolution from 2020 to 2035 under three technical change scenarios. The dataset has been validated through comparisons with existing offshore wind projects and datasets, and is stored in two formats (GeoTIFF and NetCDF4). This dataset offers extensive potential for use as an input in climate policy and energy system research.https://doi.org/10.1038/s41597-025-04428-8 |
| spellingShingle | Kangxin An Wenjia Cai Xi Lu Can Wang High-resolution gridded dataset of China’s offshore wind potential and costs under technical change Scientific Data |
| title | High-resolution gridded dataset of China’s offshore wind potential and costs under technical change |
| title_full | High-resolution gridded dataset of China’s offshore wind potential and costs under technical change |
| title_fullStr | High-resolution gridded dataset of China’s offshore wind potential and costs under technical change |
| title_full_unstemmed | High-resolution gridded dataset of China’s offshore wind potential and costs under technical change |
| title_short | High-resolution gridded dataset of China’s offshore wind potential and costs under technical change |
| title_sort | high resolution gridded dataset of china s offshore wind potential and costs under technical change |
| url | https://doi.org/10.1038/s41597-025-04428-8 |
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