Dynamic optimisation of alkaline electrolyser operation under virtual solar and hybrid solar-wind PPAs – A multi-state MINLP framework applied to the TRIERES hydrogen valley project
仮想太陽光およびハイブリッド太陽光・風力PPA下でのアルカリ水電解装置の動的最適化 – TRIERES水素バレープロジェクトに適用した多状態MINLPフレームワーク (AI 翻訳)
Nikolaos Skordoulias, Sotiriοs Karellas, Dimitrios V. Lyridis, S.G. Giannissi, Georgios Mitkidis
🤖 gxceed AI 要約
日本語
本研究は、太陽光・風力ハイブリッドPPAで駆動する加圧アルカリ水電解装置の動的最適運用フレームワークを提案する。多状態モジュールレベルの電解装置モデルとMINLP制約を組み合わせ、運転コストを最小化する。ギリシャのTRIERES水素バレーに適用し、水素需要が柔軟性・コスト・排出に与える影響を定量化。RFNBO準拠のコスト影響やハイブリッドPPAの利点を示した。
English
This study proposes an integrated optimization framework for dynamic operation of pressurized alkaline electrolysers powered by hybrid solar-wind PPAs. A multi-state module-level model with MINLP constraints minimizes operating costs. Applied to the TRIERES hydrogen valley in Greece, it quantifies how hydrogen demand drives flexibility, cost, and emissions, and shows RFNBO compliance costs and hybrid PPA benefits.
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
日本の水素戦略やグリーン水素製造のコスト評価に示唆を与える。特に、再エネPPA調達と電解装置の柔軟運用は、日本の水素サプライチェーン構築やFIT/FIP制度下での経済性向上に貢献し得る。
In the global GX context
This paper contributes to global hydrogen cost and emissions benchmarking, relevant for RFNBO compliance under the EU RED II and for informing hydrogen certification schemes like CertifHy. The optimization framework is transferable to other hydrogen valleys and hybrid renewable projects.
👥 読者別の含意
🔬研究者:Provides a detailed MINLP framework for electrolyser dispatch optimization with load-dependent efficiency, useful for further research on hydrogen system integration.
🏢実務担当者:Offers insights into PPA structuring and operational strategies to reduce LCOH and carbon intensity, aiding project developers and operators.
🏛政策担当者:Highlights cost and emissions trade-offs of RFNBO compliance, informing policy design for green hydrogen subsidies and certification.
📄 Abstract（原文）
This study presents an integrated optimisation framework for the dynamic operation of pressurised alkaline electrolysers powered by hybrid solar-wind Power Purchase Agreements (PPAs). A multi-state, module-level electrolyser model is developed, capturing load-dependent efficiency and incorporating Mixed Integer Non Linear Programming (MINLP) constraints to balance accuracy and computational efficiency. The framework minimises operating costs through optimal dispatch and is applied to a 30 MW electrolyser under the TRIERES hydrogen valley in Greece. Results highlight hydrogen demand as the key driver of flexibility, cost, and emissions. Under low demand, high flexibility yields a Levelised Cost of Hydrogen (LCOH) of 4.79 €/kgH 2 and carbon intensity of 6.33 kgCO 2 /kgH 2 . High demand reduces flexibility, increasing LCOH by 38% and emissions by 70%. Enforcing Renewable Fuels of Non-Biological Origin (RFNBO) compliance raises costs by 7% and LCOH by 14%. Hybrid solar–wind PPAs significantly improve performance, reducing carbon intensity to 3.37 kgCO 2 /kgH 2 and LCOH to 3.66 €/kgH 2 . • Dynamic multi-state electrolyser model with load-dependent efficiency. • MINLP framework for optimal dispatch under hybrid renewable PPAs. • Hydrogen demand drives flexibility, costs, and carbon intensity. • Environmental constraints increase LCOH (+0.65 €/kgH 2 ) but enable RFNBO compliance. • Hybrid solar–wind PPAs lower both LCOH and hydrogen carbon intensity.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.ijhydene.2026.155236first seen 2026-05-17 05:12:58 · last seen 2026-05-28 04:57:18
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