Optimal Green Hydrogen Production and Transportation: Africa to Europe
最適なグリーン水素の生産と輸送：アフリカからヨーロッパへ (AI 翻訳)
Asaad A, Karaki S
🤖 gxceed AI 要約
日本語
本論文は、太陽光発電、逆浸透脱塩、PEM電解、バッテリー貯蔵を統合したグリーン水素生産の最適化フレームワークを提案。二段階順序最適化法を用いて、年間60トンの生産規模で水素コストを最小化する設計を探索。チュニスでの生産からジェノヴァ、ハンブルクへの輸送ケースで、それぞれ1kgあたり3.91ドル、6.40ドルと試算。アフリカの再エネポテンシャルと欧州市場への近接性を活用。
English
This paper proposes an optimization framework for green hydrogen production integrating PV, desalination, PEM electrolysis, and battery storage. Using a two-step ordinal optimization method, it identifies subsystem sizes minimizing levelized cost of hydrogen for 60 tons/day output. Case studies from Tunis to Genoa and Hamburg yield costs of $3.91 and $6.40 per kg, leveraging North Africa's renewable potential and proximity to Europe.
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
日本は水素基本戦略を推進し、中東・豪州からの水素輸入を計画中。本論文のアフリカ・欧州間のコスト試算は、日本への長距離水素サプライチェーン構築にも示唆を与える。産学官連携での実証実験やインフラ整備に参考となる。
In the global GX context
This paper provides a detailed cost optimization for green hydrogen production and transport from North Africa to Europe, directly relevant to global hydrogen trade discussions. It offers a methodological framework applicable to other regions, including Asia-Pacific, and supports ISSB/TCFD-aligned transition planning by quantifying technology costs.
👥 読者別の含意
🔬研究者:The two-step ordinal optimization method for hydrogen system design is novel and can be adapted for other renewable energy systems.
🏢実務担当者:Provides concrete cost benchmarks ($3.91-$6.40/kg) for green hydrogen production and transport, useful for project feasibility and investment decisions.
🏛政策担当者:Highlights the economic viability of North African hydrogen exports to Europe, informing international energy policy and trade agreements.
📄 Abstract（原文）
In this paper, we present an optimization framework for green hydrogen (GH) production integrating photovoltaic generation, reverse-osmosis desalination, proton ex-change membrane electrolysis, and battery energy storage for continuous operation under solar intermittency. The study introduces a two-step ordinal optimization (OO) method to explore efficiently the large design space and identify subsystem sizes that minimize the levelized cost of hydrogen ($/kg), including production, storage, and transportation, at an average daily output of 60 tons of GH per day. First, the designs are evaluated using a simple, but computationally efficient model based on a two-week simulation. The evaluated designs are then scaled to a yearly operation and ranked by increasing hydrogen costs. Second, the top-S designs are re-evaluated using an accurate annual simulation model. OO theory predicts the number of top-S designs that need to be evaluated accurately to ensure that the optimum is included with a 95% alignment probability. We applied this framework to case studies for producing GH in Tunis and shipping it to Genoa in Italy and Hamburg in Germany, at costs of $3.91 and $6.40 per kg, respectively. The study leverages the potential of renewable energy (RE) production in Tunis and its proximity to Europe.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202607.0601.v1first seen 2026-07-13 04:37:25
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