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)
Amal Asaad, Sami Karaki
🤖 gxceed AI 要約
日本語
本論文は、太陽光発電、逆浸透淡水化、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。2段階の順序最適化法を用いて、水素の均等化コストを最小化するサブシステム規模を特定。チュニスでの地元利用コストは$2.945/kg、ジェノバ向け$3.902/kg、ハンブルク向け$6.382/kgと試算。アフリカの再生可能エネルギー潜在力と欧州への近接性を活用。
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 minimizes levelized hydrogen cost. Case studies show costs of $2.945/kg for local use in Tunis, $3.902/kg to Genoa, and $6.382/kg to Hamburg, leveraging African renewable potential and proximity to Europe.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本は水素基本戦略を掲げ、海外からの水素供給網構築を進めており、本論文のアフリカ-欧州間の輸送コスト分析は、日本の水素サプライチェーン設計や国際協力に示唆を与える。
In the global GX context
This study contributes to global hydrogen supply chain literature by quantifying production and transport costs from Africa to Europe, informing international trade and infrastructure decisions under net-zero targets.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework for green hydrogen systems with cost estimates for intercontinental transport.
🏢実務担当者:Offers cost benchmarks for green hydrogen projects and logistics planning.
🏛政策担当者:Informs international energy policy and investment in renewable hydrogen corridors.
📄 Abstract（原文）
This paper presents an optimization framework for green hydrogen (GH) production, which integrates the operation of subsystems consisting of photovoltaic generation, reverse-osmosis desalination, proton exchange membrane electrolysis, and battery energy storage for continuous operation under solar intermittency. A two-step Ordinal Optimization (OO) method is used to explore efficiently the large design search space and identify subsystem sizes that minimize the levelized cost of hydrogen ($/kg), including production, storage, and transportation. 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 reevaluated 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. This framework was applied to case studies for producing GH for local use in Tunis at a cost of $2.945, and for shipping to Genoa, Italy, and to Hamburg, Germany, at costs of $3.902 and $6.382 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
- semanticscholar https://www.mdpi.com/1996-1073/19/15/3649/pdf?version=1785764731first seen 2026-08-09 05:40:30
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