気候による太陽光発電の性能低下を緩和するパッシブ冷却
Passive cooling to mitigate climate-induced performance losses in photovoltaics (原題)
Hongjun Tan, Xueqing Yang, Xuanyu LIU, Jian Xu, Zhiling Guo, Yuntian Chen, Junwei Liu, Zhihua Zhou, Jinyue Yan
🤖 gxceed AI 要約
日本語
中国の2,539の大規模太陽光発電所を対象に、3つのハイドロゲルベースのパッシブ冷却構成を評価。水供給型ハイドロゲル冷却が最も効果的で、平均7.28℃の温度低下、26.83GWの容量増加、32.80MtCO₂の削減可能性を示した。投資回収期間は3.16年で、将来の気候シナリオでも有効性を維持。
English
This study evaluates three hydrogel-based passive cooling configurations across 2,539 utility-scale PV sites in China. The water-supply hydrogel cooling achieves average temperature reductions up to 7.28°C, equivalent capacity gain of 26.83 GW, and mitigation potential of 32.80 MtCO₂, with a payback period of 3.16 years. Passive cooling remains effective under future climate scenarios, highlighting its role in enhancing PV resilience.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の太陽光発電は高温による出力低下が課題であり、本研究成果は国内のメガソーラーや分散型電源の運用効率向上に示唆を与える。また、気候変動適応策としての再エネ強化は、日本のGX実現やエネルギー安定供給に寄与する。
In the global GX context
This study provides quantitative evidence on passive cooling as a cost-effective adaptation strategy for PV systems under climate change, relevant to global efforts in enhancing renewable energy resilience. The methodology and findings can inform international best practices for PV thermal management, contributing to climate mitigation and adaptation goals.
👥 読者別の含意
🔬研究者:Provides a large-scale empirical assessment of passive cooling effectiveness across diverse climates, offering a robust dataset and methodology for further research.
🏢実務担当者:Offers actionable insights on cost-effective cooling solutions to improve PV yield and reduce performance losses, with a clear payback period.
🏛政策担当者:Highlights the importance of integrating climate resilience into renewable energy planning and the potential of passive cooling as a low-cost adaptation measure.
📄 Abstract（原文）
Accelerating climate change is intensifying thermal stress on solar photovoltaics, as their efficiency and yield are directly constrained by rising ambient temperatures and increasing exposure to extreme heat. Scalable and robust thermal management strategies are therefore essential to sustain power generation and enhance the climate resilience of solar energy systems under current and future warming. Here, we assess three hydrogel-based passive cooling configurations across 2,539 utility-scale photovoltaic sites in China to mitigate temperature-induced losses across diverse climatic zones. The Hydrogel Cooling with Water Supply system delivers the most substantial and geographically variable benefits, with average temperature reductions approaching 7.28 °C in hot arid-steppe regions. Across all stations, the mean equivalent capacity gain reaches 26.83 GW, with an associated mitigation potential of 32.80 Mt CO₂, while individual stations exhibit electricity yield increases of up to 7.26%. Economic assessment indicates this configuration achieves the shortest payback period of 3.16 years. Under projected future climate scenarios, passive cooling continues to regulate cell temperature despite changes in irradiance patterns. Together, these findings highlight cell temperature as a persistent constraint on photovoltaic performance and identify passive cooling as a long-term practical pathway to enhance photovoltaic resilience, supporting climate mitigation and adaptation in a warming world. The code for this manuscript has been archived on GitHub under the tag CodeReview-v1 Access to this tag will be provided for peer review, and full public release will follow acceptance of the manuscript. The data are provided for peer review purposes only via DataReview-v1,and will be made publicly available upon acceptance of the manuscript. The 2539 stations dataset is collected from "Feng, Q. L. et al. A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020. Sci Data 11 (2024). https://doi.org:10.1038/s41597-024-02994-x"
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.xcrp.2026.103512first seen 2026-09-02 04:47:06
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。