Winds of change – modelling the onshore wind energy landscape of Great Britain for Net Zero targets
変革の風：ネットゼロ目標に向けたグレートブリテンの陸上風力エネルギーのモデリング (AI 翻訳)
Rebecca von Hellfeld, Jon Reid, Arkan Eddine-Lomas, Heloise Robinson, Emma Hubbert, Carly Whittaker, Mark Pogson, Pete Smith, Astley Hastings
🤖 gxceed AI 要約
日本語
本研究は、英国の陸上風力発電のライフサイクルGHG排出量が風速、土壌炭素、系統電源の炭素強度に依存することを示す。新たな空間モデルWindForを用いて、最適な立地選択によりライフサイクル排出量を削減し、2050年ネットゼロ目標達成に貢献できることを明らかにした。
English
This study demonstrates that life-cycle GHG emissions from onshore wind turbines in Great Britain are highly sensitive to wind speed, initial soil organic carbon, and grid decarbonisation. Using a novel spatial model (WindFor), it shows that optimised siting can significantly reduce net emissions, supporting the UK's 2050 Net Zero target.
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
日本でも洋上・陸上風力の導入拡大が進む中、立地選定におけるGHG排出量の空間的評価は重要。本モデルは日本の風力発電のLCA評価や環境影響評価に応用可能であり、SSBJや有報での気候関連情報開示にも資する。
In the global GX context
This paper provides a spatially explicit life-cycle assessment framework for onshore wind energy, relevant to global renewable energy deployment and grid decarbonisation. It offers insights for optimising siting to minimise emissions, which is critical for countries expanding wind capacity under Net Zero pledges.
👥 読者別の含意
🔬研究者:Provides a spatially explicit LCA model (WindFor) that integrates soil carbon and grid decarbonisation, advancing wind energy GHG assessment methods.
🏢実務担当者:Offers a tool to optimise wind farm siting for lower life-cycle emissions, useful for project developers and sustainability teams.
🏛政策担当者:Highlights the importance of spatial planning for wind energy to achieve Net Zero targets efficiently, informing renewable energy policy and land-use decisions.
📄 Abstract（原文）
• Windfarm GHGs vary with wind, soil carbon, substitution credits, and grid mix. • WindFor maps SOC change, CO 2 , energy output, and avoided emissions. • Net emissions vary spatially with site conditions and shifting grid carbon. • Ability for national wind to avoid major emissions depends strongly on siting. • Optimised siting cuts life-cycle emissions and supports UK 2050 Net Zero. Society needs to reduce its consumption of greenhouse gas (GHG) emissions-heavy resources to reduce its impact on the planet and climate. Thus, the United Kingdom Net Zero targets aim to reduce net GHG emissions by at least 100% by 2050, compared to 1990. Net Zero strategies aim to reduce emissions from all sectors of the economy and to actively contribute towards GHG removal. Major technological advancements have made wind energy the second largest contributor of renewable energy to the market. However, current research on the GHG emissions associated with wind turbines provides highly variable results linked to differences in the boundaries of the life cycle assessment (LCA), for example. Here, we demonstrate the sensitivity of wind turbine GHG-LCAs not only to wind speed but also to site initial soil organic carbon (SOC) and substitution credits (or grid decarbonisation). Moreover, our novel spatial model for onshore wind energy in Great Britain (WindFor) highlights nation-wide spatiotemporal trends in SOC change, GHG emissions, energy produced, and the emissions avoided when compared to the rest of the national grid. While the roll-out of UK wind energy has shown promise, significant challenges must be addressed to site turbines in locations that minimise emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.seta.2026.104962first seen 2026-05-05 19:12:34
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