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風力・太陽光由来の負の価格下における風力発電所の価値、収益トリガー型出力抑制、支援制度設計

Wind farm value, revenue-triggered curtailment and support-scheme design under wind- and solar-driven negative prices (原題)

Moritz Johann Gräfe, Samuel Kainz, Vasilis Pettas, Αναστασία Ιωάννου, Athanasios Kolios, Tuhfe Göçmen, Iñaki Sandua-Fernández, Irene Eguinoa, Nikolay Dimitrov

Wind Energy Science Discussionsプレプリント2026-10-23#再生可能エネルギーOrigin: Global経営インパクト: 資金調達対象セクター: power
DOI: 10.5194/wes-2026-188
原典: https://doi.org/10.5194/wes-2026-188
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🤖 gxceed AI 要約

日本語

欧州で頻発する負の電力価格が、風力か太陽光かどちら由来かで風力発電所の運用・経済性・環境価値がどう変わるかを、Lillgrund洋上風力を時間別にシミュレーションして分析。風力由来の負価格時間は高疲労負荷を伴い、収益トリガー型停止により寿命を約10年延長できるが、太陽光由来では約1年にとどまる。差金決済契約の設計次第で、生産ベース契約はストライクが約40%上昇する一方、能力ベース契約は安定する。

English

Hourly simulation of the Lillgrund offshore wind farm examines how wind- vs solar-driven negative prices affect operation, economics and environmental value under revenue-triggered curtailment. Wind-driven negative hours carry high fatigue loads, enabling ~10-year lifetime extension versus ~1 year under solar-driven prices. Production-based CfDs require ~40% higher strikes under wind-driven prices, while capability-based contracts stay stable.

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

日本でも再エネ大量導入に伴う出力抑制・市場価格低下が論点化しており、FIP制度や容量市場、長期脱炭素電源オークションの設計を考える上で、負の価格と支援制度の関係は示唆に富む。疲労負荷と寿命延長という視点は、国内風力事業の資産価値評価にも応用可能。

In the global GX context

As negative prices spread across European markets, this work directly informs CfD and support-scheme design debates (EU Electricity Market Design, UK CfD reform). It shows contract structure determines whether operators can capture fatigue-driven lifetime value, a key consideration for transition-era renewable finance and market reform.

👥 読者別の含意

🔬研究者:負の価格の発生源と出力抑制・疲労・契約設計の相互作用を統合モデルで示す実証的枠組み。

🏢実務担当者:風力事業者は支援契約の設計が資産寿命・収益に与える影響を評価できる。

🏛政策担当者:負の価格下でのCfD設計は、生産ベースか能力ベースかで事業者インセンティブが大きく変わる点に留意すべき。

📄 Abstract(原文)

Abstract. Negative electricity prices are becoming more frequent in Europe, and whether they fall in windy hours depends on whether wind or solar feed-in causes the surplus. We ask how this driver affects the operation, the economics and the environmental value of a wind farm that stops its turbines on revenue signal. We simulate the Lillgrund offshore wind farm hour by hour in one model of control, fatigue loads, contract settlement, financing and carbon accounting, on three constructed price futures with the same share of negative-price hours, driven by wind, by wind and solar, and by solar. One farm-wide rule stops all turbines in hours in which the projected farm revenue falls below a threshold, which we vary from zero to low positive values. The controlled shutdown removes the hours of lowest revenue, and the driver decides what else these hours carry. Under wind-driven prices they are windy hours with high fatigue loads, and the fatigue budget left unused permits a lifetime extension of about ten years. Under solar-driven prices they are hours of average wind, and the extension is about one year. The years gained are worth a few million euros in every future. The net displacement of emissions rises by about 17% under wind-driven prices and falls slightly under solar-driven prices. Three contracts for difference require the same support in present value, but the strike of the production-based contract, which pays nothing on energy delivered at negative prices, rises by about 40% under wind-driven prices, while the strikes of two capability-based contracts, which pay on the energy the farm could have delivered, stay near their historical level. Raising the threshold above zero adds little value here, and a contract settled on delivered energy blocks any load-reducing control whose fatigue value lies below the difference payment. Only a contract that pays on available energy at every price leaves the decision to the operator.

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