中国の砂漠風力発電所の三重利益ポテンシャル：エネルギー、資源補完性、気候効果
The Triple‐Benefit Potential of Desert Wind Farms in China: Energy, Resource Complementarity, and Climate Effect (原題)
Naijing Liu, Huaiwu Peng, Lixiao Zhang, Liwei Zhang, Donghai Wu
🤖 gxceed AI 要約
日本語
中国北西部の砂漠における風力発電所の立地を、エネルギー出力、風力・太陽光の補完性、気候影響の3目的で最適化する枠組みを提案。WRFモデルと衛星観測、機械学習を統合し、最適面積219,000km²で年間3,165TWhの発電が可能で、風力・太陽光の補完性が高く（相関係数-0.81）、地表面温度の日較差を0.5℃低減できることを示した。地域ごとに特性が異なり、内モンゴルは経済性、チベット高原は気候効果に優れる。
English
This study proposes a framework to optimize desert wind farm siting in Northwest China for energy output, wind-solar complementarity, and climate impact. Integrating WRF model, satellite data, and machine learning, it identifies an optimal area of 219,000 km² generating 3,165 TWh annually, with high complementarity (correlation -0.81) and a 0.5°C reduction in diurnal temperature range. Regional heterogeneity shows Inner Mongolia excels economically, while Tibetan Plateau offers stronger climate effects.
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
日本の再生可能エネルギー導入拡大や、洋上風力・陸上風力の立地計画において、複数目的を同時に考慮する評価枠組みは参考になる。特に、系統安定性と環境影響を統合したアプローチは、日本の送電網制約や地域共生の課題に示唆を与える。
In the global GX context
This framework offers a multidimensional approach to renewable energy siting that balances energy output, grid stability, and climate impacts, relevant to global efforts in scaling wind power while maintaining grid reliability and minimizing environmental trade-offs. It provides a model for integrated energy planning that could inform ISSB-aligned climate transition strategies and infrastructure investment decisions.
👥 読者別の含意
🔬研究者:Provides a novel multi-objective optimization framework for renewable siting that integrates climate and grid considerations, useful for energy systems research.
🏢実務担当者:Offers a practical tool for energy planners and developers to identify optimal wind farm locations that balance multiple objectives, potentially improving project viability and sustainability.
🏛政策担当者:Highlights the importance of considering climate and grid stability in renewable energy policy, supporting integrated planning for carbon neutrality.
📄 Abstract（原文）
Abstract The deserts of Northwest China are one of the most wind energy resource rich area in the country, and are characterized by concentrated solar energy and fragile ecosystems. Thus, efforts to harvest wind energy for carbon neutrality goals face vital challenges, such as determining where to site wind farms with consideration of wind energy output, grid stability, and ecological impacts. Existing studies predominantly focus on power generation and economic aspects, and few have proposed a multidimensional framework that simultaneously optimizes energy generation, wind‐solar complementarity for grid integration, and climate impacts. To address this gap, we develop an assessment framework that integrates the Weather Research and Forecasting model, geostationary satellite observations, and machine learning models. Utilizing our framework, we identified an optimal area of 219,000 km 2 that can generate 3,165 TWh of electricity annually. This optimal area also has high wind‐solar complementarity (correlation coefficient: −0.81) and can reduce the diurnal land surface temperature range by 0.5°C. Our framework may provide benefits for all three objectives: providing considerable electricity, strengthening the stability of the grid, and helping reduce the temperature range. Our analysis reveals spatial heterogeneity with distinct characteristics: Inner Mongolia excels in terms of energy economic benefits, while the wind farms on the Tibetan Plateau offer stronger climatic effects. This triple benefit framework advances beyond a single‐objective siting framework and provides a practical framework for sustainable energy planning under multiple constraints.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1029/2026ef008179first seen 2026-08-31 05:03:30
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