基于精细化数据的中国大陆地区太阳能资源开发潜力研究

张玮睿, 胡琦, 楚希雅, 张科, 和骅芸, 王晓晨

太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 1-12.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 1-12. DOI: 10.19912/j.0254-0096.tynxb.2024-2373

基于精细化数据的中国大陆地区太阳能资源开发潜力研究

  • 张玮睿1, 胡琦1,2, 楚希雅2, 张科2, 和骅芸1,3, 王晓晨1,4
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RESEARCH ON DEVELOPMENT POTENTIAL OF SOLAR ENERGY RESOURCES IN MAINLAND CHINA BASED ON FINE-SCALE DATA

  • Zhang Weirui1, Hu Qi1,2, Chu Xiya2, Zhang Ke2, He Huayun1,3, Wang Xiaochen1,4
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摘要

利用中国496个站点1961—2020年逐日气象数据,分析中国尺度太阳能资源丰富程度、稳定程度与季节太阳能资源时空分布特征,融合高分辨率的数字高程模型(DEM)、土地利用类型数据、地貌分类数据、人口密度数据以及光伏资源潜力数据等多源数据,评估全国各省光伏潜在发电量,分析光伏电站的实际空间分布与安装方式。结果表明,西北与内蒙古地区年地表太阳辐射>5040 kW·h/m2,太阳能资源丰富且稳定,适宜发展光伏发电。60年来太阳能资源呈下降趋势,夏季下降程度最大(-6.10 kW·h/(m2·10 a))。中国光伏潜在发电量为322.9千亿kW·h,新疆为光伏潜在发电量最多的省份(66.2千亿kW·h)。2023年实际光伏发电量最多的省份为河北(232.1亿kW·h),新疆、内蒙古、东北地区太阳能资源利用率较低,光伏实际发电量/潜在发电量<1%,未来应优先发展光伏发电。光伏电站空间分布符合光伏潜力发电量空间分布,各类型光伏电站展开方式以集中式为主,分布式还有较大开发空间。

Abstract

Based on daily meteorological data from 496 stations across China spanning 1961 to 2020, this study investigates the abundance, stability, and spatio-temporal distribution of seasonal solar energy resources. By integrating multi-source data—including high-resolution digital elevation models (DEM), land use, geomorphology, population density, and photovoltaic (PV) potential—we estimate provincial PV power generation potential and analyze the actual spatial distribution and deployment modes of PV stations. The results reveal that Northwest China and Inner Mongolia, with annual surface solar radiation exceeding 5040 kWh·m-2, possess rich and stable solar resources highly suitable for PV development. Over the past 60 years, solar energy resources have exhibited a downward trend, with the most pronounced decline observed in summer (-6.10 kW·h/(m²·10a)). China's total PV generation potential is estimated at 32.29 trillion kW·h, with Xinjiang accounting for the highest provincial potential (6.62 trillion kW·h). Conversely, Hebei province recorded the highest actual PV generation in 2023 (23.21 billion kW·h). Regions such as Xinjiang, Inner Mongolia, and Northeast China demonstrate low solar resource utilization (ratio of actual to potential generation<1%), indicating they should be prioritized for future PV expansion. The spatial distribution of existing PV stations aligns well with the spatial distribution of PV generation potential. While centralized PV systems currently dominate the deployment, substantial potential remains for distributed PV development.

关键词

太阳能资源 / 太阳辐射 / 光伏发电 / 开发利用 / 光伏电站 / 空间分布

Key words

solar energy resources / surface solar radiation / photovoltaic power generation / resource utilization / photovoltaic power plants / spatial distribution

引用本文

导出引用
张玮睿, 胡琦, 楚希雅, 张科, 和骅芸, 王晓晨. 基于精细化数据的中国大陆地区太阳能资源开发潜力研究[J]. 太阳能学报. 2026, 47(5): 1-12 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2373
Zhang Weirui, Hu Qi, Chu Xiya, Zhang Ke, He Huayun, Wang Xiaochen. RESEARCH ON DEVELOPMENT POTENTIAL OF SOLAR ENERGY RESOURCES IN MAINLAND CHINA BASED ON FINE-SCALE DATA[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 1-12 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2373
中图分类号: TK511   

参考文献

[1] 高秀秀, 张晓彤. “双碳”背景下低碳宜居城镇可持续发展的技术策略[J]. 可持续发展经济导刊, 2021(11): 31-33.
GAO X X, ZHANG X T.Technology strategy for sustainable development of low-carbon livable towns under carbon peak and neutrality goals[J]. China sustainability tribune, 2021(11): 31-33.
[2] 隋欣, 魏毅, 罗小林, 等. 面向“双碳” 目标的脆弱区域生态光伏模式研究[J]. 太阳能学报, 2022, 43(7): 56-63.
SUI X, WEI Y, LUO X L, et al.Emergence of a new pattern of ecological solar photovoltaics(ECO-PV) in ecologically fragile areas driven by carbon peak and neutrality targets in China[J]. Acta energiae solaris sinica, 2022, 43(7): 56-63.
[3] 文小航, 尚可政, 王式功, 等. 1961—2000年中国太阳辐射区域特征的初步研究[J]. 中国沙漠, 2008, 28(3): 554-561.
WEN X H, SHANG K Z, WANG S G, et al.Primary study on regional characteristics of solar radiation in China during 1961-2000[J]. Journal of desert research, 2008, 28(3): 554-561.
[4] 王海金, 唐若笠, 周雨诗, 等. 基于ArcGIS与多因子模型的光伏电站选址评估[J]. 太阳能学报, 2023, 44(11): 120-130.
WANG H J, TANG R L, ZHOU Y S, et al.Location evaluation of photovoltaic power stations based on ArcGIS and multi-criteria model[J]. Acta energiae solaris sinica, 2023, 44(11): 120-130.
[5] 屈准, 杨肃昌, 肖建华. 双碳背景下中国西北地区光伏电站建设现状与潜力分析[J]. 干旱区资源与环境, 2024, 38(2): 20-26.
QU Z, YANG S C, XIAO J H.Current situation and potential of photovoltaic power plant construction in northwestern China under the background of carbon peaking and carbon neutrality[J]. Journal of arid land resources and environment, 2024, 38(2): 20-26.
[6] 张舒阳. 基于GIS的区域光伏开发潜力及其经济性评估模型研究[D]. 北京: 华北电力大学, 2023.
ZHANG S Y.Study on regional photovoltaic development potential and its economic evaluation model based on GIS[D]. Beijing: North China Electric Power University, 2023.
[7] 彭军, 杨智奇, 董菁雯. 内蒙古太阳能资源的分布特征与光伏发电开发的可行性分析[J]. 太阳能, 2011(3): 42-47.
PENG J, YANG Z Q, DONG J W.Distribution characteristics of solar energy resources in Inner Mongolia and feasibility analysis of photovoltaic power generation development[J]. Solar energy, 2011(3): 42-47.
[8] 张乾, 辛晓洲, 张海龙, 等. 基于遥感数据和多因子评价的中国地区建设光伏电站的适宜性分析[J]. 地球信息科学学报, 2018, 20(1): 119-127.
ZHANG Q, XIN X Z, ZHANG H L, et al.Suitability analysis of photovoltaic power plants in China using remote sensing data and multi-criteria evaluation[J]. Journal of geo-information science, 2018, 20(1): 119-127.
[9] 胡琦, 邢梦媛, 王晓晨, 等. 基于产量构成要素的冬小麦气象灾害产量损失评估方法: CN112598266A[P].2021-04-02.
HU Q, XING M X, WANG X C, et al. Assessment method for yield loss of winter wheat caused by meteorological disasters based on yield constituting elements: CN112598266A[P].2021-04-02.
[10] 祝昌汉. 再论总辐射的气候学计算方法(一)[J]. 南京气象学院学报, 1982, 5(1): 15-24.
ZHU C H.A further discussion on the method of calculating total radiation in climatological study[J]. Journal of Nanjing Institute of Meteorology, 1982, 5(1): 15-24.
[11] 和清华, 谢云. 我国太阳总辐射气候学计算方法研究[J]. 自然资源学报, 2010, 25(2): 308-319.
HE Q H, XIE Y.Research on the climatological calculation method of solar radiation in China[J]. Journal of natural resources, 2010, 25(2): 308-319.
[12] 刘媛媛, 胡琦, 和骅芸, 等. 中国不同时间尺度地表太阳总辐射估算研究[J]. 气候变化研究进展, 2021, 17(2): 175-183.
LIU Y Y, HU Q, HE H Y, et al.Estimation of total surface solar radiation at different time scales in China[J]. Climate change research, 2021, 17(2): 175-183.
[13] 胡琦, 潘学标, 李秋月, 等. 气候变化背景下东北地区太阳能资源多时间尺度空间分布与变化特征[J]. 太阳能学报, 2016, 37(10): 2647-2652.
HU Q, PAN X B, LI Q Y, et al.Multi-time scale and spatial distribution and variation characteristics of solar energy resources in Northeast China in context of climate change[J]. Acta energiae solaris sinica, 2016, 37(10): 2647-2652.
[14] GB/T 37525—2019, 太阳直接辐射计算导则[S].
GB/T 37526—2019, Guidelines for calculation of direct solar radiation[S].
[15] DL/T5158—2012, 电力工程气象勘测技术规程[S].
DL/T5158—2012, Technical code for meteorological survey in electric power engineering[S].
[16] BI M, WAN L, ZHANG Z K, et al.Spatio-temporal variation characteristics of north Africa's climate potential productivity[J]. Land, 2023, 12(9): 1710.
[17] 李付林. 影响光伏电站选址布局的因素分析[J]. 经济研究导刊, 2019(36): 21-22, 34.
LI F L.Analysis of factors affecting the location and layout of photovoltaic power station[J]. Economic research guide, 2019(36): 21-22, 34.
[18] 自然资源部办公厅林草局办公室能源局综合司.关于支持光伏发电产业发展规范用地管理有关工作的通知(自然资办发[2023]12号)[EB/OL].(2023-03-20)[2024-07-02]https://www.gov.cn/zhengce/zhengceku/2023-04/03/content_5749824.htm
Ministry of natural Resources Office, National Forestry and Grassland Administration Office, National Energy Administration General Office. Notice on supporting the development of photovoltaic power generation industry and regulating land use management (No. 12[2023] of Natural Resources Office)[EB/OL]. (2023-03-20)[2024-07-02]https://www.gov.cn/zhengce/zhengceku/2023-04/03/content_5749824.htm.
[19] SOLARGIS. Methodology-global solar atlas[EB/OL].[2025-02-09]. https://globalsolaratlas.info/support/metho dology
[20] “一带一路”国家分布式光伏发展潜力评估[R].“一带一路”国家分布式光伏发展潜力评估[R]. 2021.
Assessment of distributed solar PV potential in BRI countries[R].Assessment of distributed solar PV potential in BRI countries[R]. 2021.
[21] 孙朋杰, 何飞, 陈正洪, 等. 考虑地形影响的太阳能资源精细化评估及技术可开发量计算[J]. 南方能源建设, 2024, 11(1): 10-18.
SUN P J, HE F, CHEN Z H, et al.Refined assessment of solar energy resources and calculation of technical exploitable capacity considering terrain influence[J]. Southern energy construction, 2024, 11(1): 10-18.
[22] 自然资源部. 光伏发电站工程项目用地控制指标 (TD/T1075-2023)[EB/OL]. (2023-04-19)[2024-07-02]. https://www.mnr.gov.cn/dt/td/202305/t20230517_2786670.html.
Ministry of Natural Resources of the People's Republic of China. Land quota of photovoltaic power station project: (TD/T1075-2023)[EB/OL]. (2023-04-19)[2024-07-02]. https://www.mnr.gov.cn/dt/td/202305/t20230517_2786670.html.
[23] 生态环境部环境规划院. 中国风电和太阳能发电潜力评估[R]. 2024.
Environmental Planning Institute of Ministry of Ecology and Environment. Assessment of wind and solar power potential in China[R]. 2024.
[24] 王一波, 赵颖, 汪雷, 等. 2023年中国光伏技术进展综述[J]. 太阳能, 2024(7): 8-19.
WANG Y B, ZHAO Y, WANG L, et al. Overview of China's PV technology progress in2023[J]. Solar energy, 2024(7): 8-19.
[25] 国务院. 2030年前碳达峰行动方案[EB/OL], (2021-10-24) )[202411-28]. https://www.gov.cn/zhengce/content/2021-10/26/content_5644984.htm.
State Council of the People's Republic of China. Action Plan for Carbon Dioxide Peaking Before2030[EB/OL], (2021-10-24)[202411-28]. https://www.gov.cn/zhengce/content/2021-10/26/content_5644984.htm.
[26] IPCC. Climate change 2022: mitigation of climate change[R]. 2022.
[27] 耿亚新, 周新生. 太阳能光伏产业的理论及发展路径[J]. 中国软科学, 2010(4): 19-28, 134.
GENG Y X, ZHOU X S.The developmental path of solar photovoltaic industry[J]. China soft science, 2010(4): 19-28, 134.
[28] 许建峰, 曹庆仁, 王成. 碳中和目标下江苏光伏产业发展态势及路径研究[J]. 能源研究与利用, 2023(1): 40-43.
XU J F, CAO Q R, WANG C.Research on the development trend and path of Jiangsu photovoltaic industry under the target of carbon neutralization[J]. Energy research & utilization, 2023(1): 40-43.
[29] 曲明. 基于太阳能发电潜力的青藏高原地区节碳减排评估[D]. 天津: 天津城建大学, 2022.
QU M.Evaluation of carbon saving and emission reduction in Qinghai Tibet plateau based on solar power generation potential[D]. Tianjin: Tianjin Chengjian University, 2022.
[30] 卢潇楠, 李国庆, 杨凯迪, 等. 2010—2021年中国光伏电站的空间分布及时空变化分析[J]. 太阳能, 2023(11): 5-11.
LU X N, LI G Q, YANG K D, et al. Analysis of spatial distribution and spatiotemporal changes of PV power stations in China from2010 to 2021[J]. Solar energy, 2023(11): 5-11.
[31] CHEN W J, YANG M S, ZHANG S F, et al.What accounts for the China-US difference in solar PV electricity output? An LMDI analysis[J]. Journal of cleaner production, 2019, 231: 161-170.

基金

国家重点研发计划(2023YFD1900504); 中国农业大学2115人才工程资助项目; 中国气象局气候资源经济转化重点开放实验室开放研究课题(2023010)

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