Advancing the renewable energy transition through land prioritisation and advanced photovoltaic technologies: A case study of Germany
土地優先順位付けと高度太陽光発電技術による再生可能エネルギー転換の推進：ドイツの事例研究 (AI 翻訳)
Ankita Saxena, Elham Fakharizadehshirazi, Almut Arneth, David Martín Belda, Calum Brown, Dmitry Otryakhin, Christine Rösch, Mark Rounsevell
🤖 gxceed AI 要約
日本語
ドイツ全土を1km解像度で太陽光発電ポテンシャルを評価。高効率PV技術により同一土地面積で発電量が2倍以上に。厳しい土地利用制限下でも保護地域を侵さずにエネルギー目標達成可能。最適地への戦略的展開が重要。
English
This study assesses photovoltaic potential in Germany at 1 km resolution, considering land-use restrictions and technology efficiency. It finds that deploying high-efficiency PV on the most suitable land could generate up to 759 TWh, while strict restrictions limit to 97 TWh. Energy targets can be met with less than 1% of land area without harming biodiversity. Strategic deployment reduces land demand and environmental trade-offs.
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に伴う土地不足と環境保護の両立が課題。本論文のドイツ事例は、日本のメガソーラー計画や農地転用問題に示唆を与える。技術効率向上と適地選定の重要性を強調。
In the global GX context
This paper provides a rigorous framework for balancing solar energy expansion with land-use and biodiversity goals. Globally, it offers a scalable approach for countries like Japan and others facing similar trade-offs, and highlights the role of advanced PV technologies and strategic siting to achieve climate targets efficiently.
👥 読者別の含意
🔬研究者:Provides a high-resolution methodology for assessing PV potential and land-use trade-offs, valuable for energy modelling and spatial planning.
🏢実務担当者:Offers guidance on site selection and technology choices for solar developers to maximize output while minimizing environmental impact.
🏛政策担当者:Demonstrates that with strategic deployment and advanced technologies, renewable energy targets can be met without compromising protected areas, informing land-use policy.
📄 Abstract（原文）
• Gridded estimates of photovoltaic (PV) potential for Germany at 1 km resolution. • Evaluating PV land requirements to meet electricity demand in Germany. • Role of land-based restrictions and technology in large-scale PV energy production. • PV could generate 759 TWh, but stricter policies curtail it to 97 TWh. • Advanced PV technology could double energy output on the same land area. Achieving national climate targets while balancing land-use and biodiversity goals is a shared challenge for countries undergoing large-scale solar energy transitions. Strategic deployment of photovoltaic (PV) systems is essential to maximise energy output while minimising land use. This study explores strategies for land-efficient PV deployment by assessing the technical PV potential of ground mounted systems under varying land-use restrictions and PV technology scenarios. Using Germany as a case study, we integrated high-resolution climate data, PV potential modelling, and land suitability assessment across three levels of land-restriction (least, intermediate, most) and three PV technology efficiency levels (low, medium, high) to evaluate how land suitability and technology choices affect energy outcomes. Our results show that deploying high efficiency PV systems can more than double electricity generation from the same land area. Prioritising the most suitable land could produce up to 759 TWh of energy, whereas stricter land-use restrictions could limit this potential to just 97 TWh. We find that energy targets can be met using <1% of Germany’s land area, without compromising protected areas or biodiversity objectives, provided PV deployment is targeted to optimal sites and paired with advanced technologies. By aligning PV deployment with high-suitability land and advanced technologies, countries can reduce land demand and environmental trade-offs. This study proposes a scalable pathway to strengthen the renewable energy transition while supporting sustainable outcomes – making it relevant beyond Germany for global land-energy planning.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.sftr.2026.101930first seen 2026-06-07 04:38:11
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