Global utility-scale photovoltaics are structurally displaced from electricity demand centres
全球の大規模太陽光発電は電力需要中心から構造的に乖離している (AI 翻訳)
Wu M, Su B, Liu J, Yan F, Niu Z, Chen F, Wang M, Li W, Li Z, Yu H
🤖 gxceed AI 要約
日本語
本研究は、センチネル2衛星画像と深層学習を用いて2025年時点の全球の大規模太陽光発電所を10m解像度でマッピングし、電力需要との空間的ミスマッチを定量化した。約82%の電力需要がIEA基準を下回る地域に位置し、高い目標達成には送電網整備が不可欠であることを示している。
English
This study maps global utility-scale PV plants at 10-m resolution using Sentinel-2 imagery and deep learning, then quantifies the spatial mismatch with electricity demand. It finds ~82% of global demand in provinces below IEA thresholds, highlighting that achieving high PV targets requires extensive transmission infrastructure and spatial integration.
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
日本でも太陽光発電の導入拡大に伴い、地域間の需給ギャップが顕在化している。本論文の全球分析は、日本の送電網増強や地域間連系線の計画に示唆を与える。
In the global GX context
This paper provides a novel global empirical foundation for the spatial constraint on PV integration. It underscores that beyond generation capacity, transmission and flexibility are the key bottlenecks for high-renewable energy systems worldwide, informing policies from grid planning to interregional cooperation.
👥 読者別の含意
🔬研究者:Provides a global dataset and methodology for assessing spatial mismatch between renewables and demand, useful for energy system modeling and infrastructure planning.
🏢実務担当者:Highlights the need for grid expansion and regional coordination to avoid curtailment and ensure effective PV integration.
🏛政策担当者:Emphasizes that achieving ambitious renewable targets requires corridor-aware planning and investment in transmission networks.
📄 Abstract（原文）
<title>Abstract</title> <p>The system value of solar photovoltaics (PV) increasingly depends on effectively connecting generation to electricity demand. Here, we develop an integrated framework to diagnose this spatial constraint globally. Using Sentinel-2 imagery and deep learning, we map near-global utility-scale PV plants at 10-m resolution for 2025. Coupling this with generation models and a 1-km nighttime-light-derived electricity demand surface, we estimate ~ 1,852 TWh of annual PV generation against ~ 32.8 PWh of demand, yielding a ~ 5.65% mean penetration. Structural under-coverage is widespread: ~82% and 91% of global electricity demand lie in provinces below the 8.6% and 15.7% IEA reference thresholds, respectively. Under IEA-aligned scenarios requiring ~ 3,990 and ~ 5,910 TWh of PV supply, meeting demand relies heavily on domestic redistribution (~ 77.5%). Transfers exhibit a clear distance hierarchy, with > 80% occurring within 1,500 km and mean connection distances of ~ 593–718 km. This reveals dual infrastructure needs: expanding regional backbone networks and developing high-capacity long-distance corridors. As targets rise, the bottleneck shifts from reallocating existing production to mobilizing new potential via transmission and flexibility. We conclude the limiting factor is spatial system integration, requiring corridor-aware planning for equitable decarbonization.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-9656130/v1first seen 2026-06-20 04:46:59 · last seen 2026-06-21 04:44:48
🔔 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。