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Climate risks of global deployed solar photovoltaic systems

Bibliographic Data

ID15550649
AuthorsDeshuai Zhang (Sun Yat-sen University, corresponding author), Ying Ding (0000-0003-2567-2009, Sun Yat-sen University), Zhuolin Ouyang (Sun Yat-sen University), Yanjun Li (0000-0003-2252-7412, Sun Yat-sen University), Amal BaQais (0000-0002-4896-8235, Princess Nourah bint Abdulrahman University), Peng Wang (0000-0003-3639-6126, Sun Yat-sen University), Haicheng Zhang (0000-0002-9313-5953, Sun Yat-sen University)
Year2026
Volume21
Issue7
Pages074012-074012
Publication date2026-03-30
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ae58ba
OpenAlexW7143543347
LanguageEN
References cited36

Solar photovoltaics (PV) are vital to the global energy transition, yet their climate resilience remains poorly understood. Existing projections typically evaluate theoretical PV power generation potential ( P solarPV ) across all land surfaces, rather than at actual PV-deployment sites. Here, we assess climate risks to global operational PV systems over 2015–2100 under three greenhouse-gas emission scenarios. We found that under a high-emission scenario, rising temperatures outweigh solar radiation gains, causing a net decline in global P solarPV by 2100, with Northern America experiencing the most severe losses. High emissions also impair the PV power reliability, increasing the annual frequencies of poor-power days while decreasing rich-power days. Although intra-annual volatilities in P solarPV weakens globally, it intensifies in key regions like central Europe. Our results reveal a spatial mismatch between current PV infrastructure and climate-resilient zones, underscoring that emission mitigation and strategic, diversified deployment are imperative for a secure solar-powered future

Climate change · Global warming · Greenhouse gas · Photovoltaic system · Photovoltaics · Resilience (materials science · Software deployment · Solar energy · Solar Power · Integrated Energy Systems Optimization · Photovoltaic System Optimization Techniques · Photovoltaic Systems and Sustainability

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