MicroSTEP — 欧州全域における分散型小規模貯水池揚水発電のスクリーニング(コードと参照結果)
MicroSTEP — Distributed small-reservoir pumped-storage hydropower screening across Europe (code and reference results) (原題)
Girard, Robin, Rogeau, Antoine, Quaranta, Emanuele
🤖 gxceed AI 要約
日本語
欧州各国を対象に、分散型小規模貯水池を用いた揚水発電の候補地点をGISで再現可能に抽出するコードと参照結果を公開。最新版ではフランス除外バグの修正、ノルウェー・スウェーデンの国別LiDAR地形モデルへの置換、カルスト除外や湖沼重複スクリーニングを追加し、参照ポートフォリオは21,115地点・404.8GWh(EU-27は14,160地点・237.7GWh)に更新された。最大重みマッチングやSobol感度分析も組み込み、系統柔軟性資源の地理的ポテンシャル評価を透明化する。
English
Reproducible GIS screening code and reference results for distributed small-reservoir pumped-storage hydropower across Europe. The latest release fixes a France-exclusion bug, rebuilds Norway/Sweden from national LiDAR DEMs, adds karst and lake-overlap screening, and updates the reference portfolio to 21,115 sites / 404.8 GWh (EU-27: 14,160 sites / 237.7 GWh). It also applies exact maximum-weight matching and Sobol sensitivity analysis.
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
日本では再エネ大量導入に伴う系統柔軟性・調整力の確保が喫緊の課題であり、小規模揚水の地理的ポテンシャルを再現可能に評価する手法は、地域の系統制約下での分散型蓄エネ導入検討やGX推進の参考になる。SSBJ・開示制度との直接の接点は薄い。
In the global GX context
Adds to the global energy-transition literature by providing open, reproducible screening infrastructure for distributed pumped-storage, a flexibility resource often overlooked in decarbonization pathway models. Relevant to grid-planning and renewable-integration policy, though not directly to TCFD/ISSB disclosure frameworks.
👥 読者別の含意
🔬研究者:再現可能なGISスクリーニング手法と感度分析の枠組みを、蓄エネ・系統柔軟性研究に応用できる。
🏢実務担当者:自社立地や調達地域における小規模揚水の候補ポテンシャルを把握し、再エネ調達・系統対策の検討材料にできる。
🏛政策担当者:系統柔軟性資源としての分散型揚水の地理的ポテンシャルを、エネルギー計画や支援制度設計に活用できる。
📄 Abstract(原文)
Reproducible GIS-screening code and reference results for distributed small-reservoir pumped-storage hydropower across European countries. Version 1.2 introduces exact maximum-weight (blossom) matching for the non-overlapping site selection, a 2500 m upper-reservoir altitude cap, a complete 10 m French LiDAR (RGE ALTI) DEM benchmark, and a WorldPop-based spatial context; reference portfolio 29,213 sites, 752.9 GWh. Version 1.3 adds the karst treatment as an explicit three-level factor in the global (Sobol) sensitivity analysis, unchanged reference portfolio. Version 1.4 (Applied Energy major revision APEN-D-26-17880) fixes a region-glob bug that had silently excluded France from the European candidate graph, rebuilds Norway and Sweden from their national lidar terrain models (Kartverket Nasjonal hoydemodell and Lantmateriet Markhojdmodell, replacing FABDEM; Norway validated against NVE reservoir data), applies the karst exclusion to the reservoir FOOTPRINT rather than only the pair midpoint, clips the portfolio to the 37 study countries, caps existing water bodies at 100 ha and screens dry depressions that duplicate a mapped lake at 20% overlap, and extends exact maximum-weight matching to the funnel "all" screen and the Sobol loop. New reference portfolio: 21,115 sites, 404.8 GWh (EU-27 subset: 14,160 sites, 237.7 GWh) under 1 m lake drawdown and a 100 MWh/site energy cap; the submitted-manuscript portfolio (29,213 sites, 752.9 GWh) remains available in versions 1.2 and 1.3 of this record. Version 1.5 is the complete release of this revision: the v1.4 record was published from an interrupted upload (Zenodo's 100-file limit) and lacks the reference portfolio, the provenance table and the code snapshot; use v1.5. Companion code of Girard, Rogeau & Quaranta (2026, in prep.), extending Rogeau, Girard & Kariniotakis (Applied Energy, 2017). LICENSING: the analysis code is released under the MIT License (see LICENSE and DATA_LICENSE.md in the source repository); the derived data and result layers in this archive are released under CC BY-NC-SA 4.0 because they are adaptations of non-commercial / share-alike input datasets (FABDEM, CC BY-NC-SA 4.0; OpenStreetMap, ODbL; WDPA terms of use; Kartverket Nasjonal hoydemodell, CC BY 4.0; Lantmateriet Markhojdmodell, CC BY 4.0; NVE reservoir data, NLOD 1.0).
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23102189first seen 2026-10-03 04:18:30 · last seen 2026-10-05 04:34:38
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