Quantifying the Trade-Offs Between Clean-Energy Expansion and Land Requirements: Evidence from Greece
クリーンエネルギー拡大と土地要件のトレードオフの定量化：ギリシャの証拠 (AI 翻訳)
Diamantis Koutsandreas, Armin Ardehali, Spyros Giannelos, Danny Pudjianto
🤖 gxceed AI 要約
日本語
本研究は、ギリシャの電力システムを対象に、土地利用制約を内生化したエネルギー計画最適化モデルを開発。シナリオ分析の結果、陸上風力が最大70%削減され、洋上風力や太陽光に代替されること、統合的な土地・エネルギー計画により発電用土地占有面積を2050年までにギリシャ総面積の3%に抑制可能であることを示した。
English
This study integrates land constraints into an energy system optimization model for Greece, analyzing trade-offs between renewable expansion and land use. Results show onshore wind could decline up to 70% under stringent land constraints, replaced by offshore wind and solar PV. Integrated planning can limit land occupation for power generation to 3% of Greece's total area by 2050, compared to 11% without constraints.
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
日本でも再生可能エネルギー導入に伴う土地不足が課題となっており、本稿の分析手法は日本のエネルギー計画にも応用可能。特に、洋上風力や住宅用太陽光など土地制約の少ない技術へのシフトを検討する際の参考となる。
In the global GX context
This paper provides a framework for endogenizing land constraints in energy planning, relevant for countries facing land scarcity for renewable deployment. The findings on substitution effects and land-use efficiency offer insights for global energy transition policies, especially in Mediterranean and densely populated regions.
👥 読者別の含意
🔬研究者:Energy system modelers can adopt the methodology of integrating land supply curves into optimization models for other regions.
🏢実務担当者:Renewable energy planners can use the trade-off insights to prioritize technologies that minimize land use while meeting decarbonization targets.
🏛政策担当者:Land-use and energy policymakers should consider integrated spatial planning to avoid conflicts and optimize renewable deployment.
📄 Abstract（原文）
Land availability is a critical dimension in high-renewable power generation strategies, as renewable technologies typically require substantially more area for infrastructure deployment and operational spacing than incumbent fossil-fuel-powered technologies. Land use has mainly been considered in energy system modeling studies as a post-processing evaluation, at a sub-national scale, or in non-Mediterranean regions. Consequently, there remains a gap in endogenizing land requirements within an energy planning optimization model for a Mediterranean country with high renewable potential, thereby allowing examination of the trade-offs between land use, mitigation and economic efficiency. In this study, we address this gap by focusing on the Greek power system, developing alternative land supply curves, and integrating them into an optimization model for the Greek power sector (OSeMOSYS-Greece). This approach generates a large ensemble of mitigation scenarios with varying land intensities and cost requirements. The results highlight strong substitution effects between land-intensive and less-land-intensive renewable technologies. Notably, onshore wind power generation is found to decline by up to approximately 70% by 2050 between the land-unconstrained case and the most stringent land-constrained scenario, chiefly substituted by offshore wind and, to a lesser extent, solar PV. Furthermore, under integrated energy-land planning, land occupation for power generation can be reduced to 3% of Greece’s total land area by 2050, compared to around 11% under a land-unconstrained pathway.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19102261first seen 2026-05-28 04:44:03 · last seen 2026-06-03 04:43:34
🔔 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。