3時間間隔のCMIP6予測を用いたコロンビアにおける気候変動が太陽光発電に及ぼす影響の評価
Assessing the impacts of climate change on photovoltaic energy generation in Colombia using 3-hourly CMIP6 projections (原題)
Carlos Augusto Ramírez-Ruíz, Sergio Cabrales, Carlos Felipe Valencia Arboleda
🤖 gxceed AI 要約
日本語
本研究は、統計的ダウンスケーリングと物理ベースのPVパネルモデルを用いて、コロンビアにおける気候変動が太陽光発電に及ぼす影響を評価した。3時間解像度の予測を用いることで、日内のPV性能変動を捉える新規性がある。結果、全体的には穏やかな変化だが、季節変動が顕著であり、温暖化による効率低下は小さいことが示された。
English
This study assesses climate change impacts on photovoltaic energy generation in Colombia using statistically downscaled CMIP6 projections and a physical PV panel model. Using 3-hourly resolution, it captures intra-day PV performance variations. Results show modest overall changes but significant seasonal variability, with temperature-induced efficiency losses being small.
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
日本では再生可能エネルギー導入拡大が進む中、気候変動による発電量変動の評価は重要。本研究成果は、日本の太陽光発電の長期計画やリスク管理に示唆を与える。
In the global GX context
As countries accelerate renewable energy transitions, understanding climate impacts on PV generation is crucial. This study provides a framework for assessing PV performance under future climate scenarios, relevant for global energy planning and climate risk assessment.
👥 読者別の含意
🔬研究者:Provides a novel 3-hourly downscaling framework for PV impact assessment, useful for similar studies in other regions.
🏢実務担当者:Offers insights for solar project siting and long-term yield forecasting under climate change.
🏛政策担当者:Informs energy planning and climate adaptation strategies for renewable energy infrastructure.
📄 Abstract（原文）
Understanding how climate change will affect renewable energy systems is becoming increasingly important as countries accelerate their transition away from fossil fuels. Although photovoltaic (PV) energy is expected to be a key part of this transition, its long-term efficiency may be affected by changes in weather factors. In this study, we assess the impacts of climate change on PV energy generation in Colombia using statistically downscaled climate projections and a physically based PV panel model. Projections of weather-related variables (solar radiation and air temperature) are generated at 3-hourly resolution, providing a novel framework for understanding intra-day photovoltaic performance under future climate conditions. Future scenarios are based on three CMIP6 global climate models (GFDL-ESM4, MRI-ESM2-0, and BCC-CSM2-MR) and two emission pathways (SSP1-2.6 and SSP5-8.5). PV generation is estimated using a historical baseline (1994–2014) and compared with a mid-century period (2051–2060) to evaluate annual, monthly, and intra-day changes in PV potential. Results show spatially heterogeneous but overall modest changes in PV energy generation across Colombia, mainly driven by projected variations in solar radiation, while temperature-related efficiency losses have a smaller impact. Monthly analyses reveal substantial seasonal variations that are not apparent when considering annual averages alone. An assessment of temperature-only effects indicates that warming alone leads to small but consistent reductions in PV output under the SSP5-8.5 scenario.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.egycc.2026.100266first seen 2026-08-19 04:33:30
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