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中国实际光伏部署区域未来发电潜力的气候风险评估OA

Climate-Risk Assessment for Future Power-Generation Potential of China's Deployed Solar Photovoltaic Systems

中文摘要英文摘要

在全球能源结构加速向可再生能源转型的背景中,中国已成为光伏领域的引领者,其装机容量与发电量均位居世界前列.然而,以往研究多集中于评估覆盖全部陆地表面的光伏发电潜力(PsolarPV),忽视了对已实际部署、正在运行的光伏设施所面临的气候风险,导致对现有光伏系统发电潜力在未来气候变化下的评估仍不够充分.为此,文章基于耦合模型比对项目第六阶段的多模型数据,模拟并分析了 2015-2060年3种温室气体排放情景下中国现有光伏部署区域PsolarPV的时空变化趋势.结果显示,在3种不同温室气体排放情景下,未来全国年均PsolarPV预计均保持增加的趋势(从0.6%±0.4%到3.4%±0.4%).不过,随着温室气体排放情景的加剧,PsolarPV的相对增加量将减少约2.8%,同时亏电天数的相对变化将增加约3.4%.该下降趋势主要由气温升高所驱动,其负面影响的贡献率从低温室气体排放情景下的31.0%增长到高温室气体排放情景下的46.2%.此外,中国光伏系统的运行稳定性对未来气候变化呈现显著的空间异质性,其中西北、华北和华东地区对气候变化最为敏感.在高温室气体排放情景下,这3个地区的亏电天数平均增加0.8 d/10 a,且PsolarPV的年内短期波动和季节性波动幅度均明显高于其他地区.

Amidst the global transition toward renewable energy,China has emerged as the world leader in solar photovoltaic(PV)capacity and generation.However,the climatic risks and operational stability of this extensively deployed PV infrastructure under future climate change remain insufficiently assessed.Previous studies have primarily focused on the theoretical PV power-generation potential(PsolarPV)across terrestrial areas,overlooking the specific climatic risks of existing operational PV facilities.This study addresses this critical gap through a comprehensive,multi-dimensional risk assessment for China's deployed PV systems.We developed a high-resolution hourly PsolarPV model driven by a multi-model ensemble from the NASA Earth Exchange Global Daily Downscaled Projections(NEX-GDDP-CMIP6)under three greenhouse gas(GHG)emission scenarios from 2015 to 2060.Focusing on China's existing deployed PV infrastructure and seven representative regions,we quantified future changes in annual PsolarPV and their driving factors,the frequency of extreme PV power events(energy"surplus"and energy"deficit"days),and intra-annual variability(short-term fluctuations and seasonal variations).Our results reveal that future trends in PsolarPV across China's PV deployments are shaped by the opposing effects of increasing solar radiation(positive effect)and rising surface temperatures(negative effect).Under the low-emission scenario(SSP1-2.6),enhanced solar radiation dominates,leading to a nationwide increase in annual PsolarPV of 3.4%±0.4%(multi-model mean±standard error).In contrast,under the high-emission scenario(SSP5-8.5),thermal-induced efficiency losses offset these gains,resulting in a slight increase of 0.6%±0.4%in PsolarPV and a rise in the frequency of poor-power days by 0.1 d per decade.Moreover,climate-induced impacts exhibited pronounced spatial heterogeneity.With increasing GHG emissions,deployed PV systems in northwestern,northern,and eastern China are projected to be the most climate-sensitive,experiencing greater changes in power-generation potential and more frequent extreme power-generation events.Northwest China,where PV deployments are concentrated,is projected to experience a decline of-0.5%±0.2%in PsolarPV and an increase of 1.0 d per decade in extreme poor-power days under the high-emission scenario.Conversely,the deployed PV systems in South and Southwest China exhibited stronger climate resilience.Furthermore,higher GHG-emission scenarios are expected to intensify seasonal and short-term PsolarPV fluctuations,especially in northern regions(e.g.,Northeast,North,and Northwest China),posing greater challenges to grid stability and power dispatch management.In conclusion,this study provides the first location-specific,forward-looking climate risk assessment of China's existing PV infrastructure.These findings highlight that stringent GHG mitigation is critical for safeguarding solar energy assets and ensuring the long-term sustainability of PV power generation.They also emphasize the need for spatially differentiated climate adaptation strategies,including optimizing future deployment in climate-resilient regions,strengthening grid capacity with advanced energy storage,and enacting policies that enhance the climate resilience of China's solar power system.

张德帅;欧阳卓林;李雁君;杜建会;张海成

中山大学地理科学与规划学院,广州 510000中山大学地理科学与规划学院,广州 510000中山大学大气科学学院,广东珠海 519082中山大学地理科学与规划学院,广州 510000中山大学地理科学与规划学院,广州 510000

管理科学

太阳能光伏系统发电潜力气候变化气候风险温室气体排放情景中国

Solar photovoltaicspower-generation potentialclimate changeclimate riskgreenhouse gas emission scenariosChina

《热带地理》 2026 (5)

796-808,13

国家自然科学基金青年科学基金项目(42301020)广东省基础与应用基础研究基金项目(2024A1515010929)

10.13284/j.cnki.rddl.20250745

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