← 論文一覧に戻る

Assessment of Green Hydrogen Production from Saline Water in Egyptian Coastal Environments

エジプト沿岸環境における汽水からのグリーン水素製造の評価 (AI 翻訳)

Wael W. Eskander, Moustafa A. Fouz, S. Shaaban, Ahmed A. Swidan

2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS)学会2026-05-11#水素Origin: Global経営インパクト: コスト削減対象セクター: energy
DOI: 10.1109/ipcs69631.2026.11604319
原典: https://doi.org/10.1109/ipcs69631.2026.11604319

🤖 gxceed AI 要約

日本語

エジプトの紅海沿岸(スエズ湾)の高塩分海水を用いたPEM電解によるグリーン水素製造の技術経済評価を実施。淡水化システムのエネルギー消費は2.96 kWh/m3で、水処理コストは水素製造コストの0.2%未満、LCOHへの影響は0.33%未満と、水処理は制約要因でないことを示した。コスト削減には再生可能電力と電解槽性能の改善が重要と結論。

English

This study assesses techno-economic feasibility of green hydrogen production using saline seawater from Egyptian coastal regions, focusing on the Gulf of Suez. A PEM electrolyzer coupled with optimized desalination achieves low energy consumption (2.96 kWh/m3), with water treatment contributing less than 0.2% to LCOH. Variations in water cost have minimal impact (<0.33%), highlighting that renewable electricity and electrolyzer efficiency are the key cost drivers.

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

日本では水素基本戦略やGX推進法に基づき、輸入水素サプライチェーン構築が進む。本研究成果は、海水淡水化を伴う水素製造のコスト構造を明確にし、日本企業が中東・アフリカでの水素プロジェクトを検討する際の技術的知見を提供する。

In the global GX context

Globally, green hydrogen is pivotal for decarbonization, but water availability is a concern. This study provides evidence that desalination is not a bottleneck, redirecting focus to renewable electricity costs. It offers insights for coastal regions and supports the business case for hydrogen projects in water-scarce areas.

👥 読者別の含意

🔬研究者:Provides quantitative evidence on the negligible impact of desalination on LCOH, guiding research priorities toward electrolyzer and renewable energy improvements.

🏢実務担当者:Useful for project developers assessing water treatment options for green hydrogen plants, confirming that desalination is a minor cost factor.

🏛政策担当者:Informs policy on supporting renewable electricity infrastructure for hydrogen, as water treatment is not a limiting factor.

📄 Abstract(原文)

Green hydrogen produced via water electrolysis is widely recognized as a key pathway for decarbonizing energy systems; however, its large-scale deployment is constrained by electricity cost and the availability of high-purity water. This study presents a techno-economic assessment of green hydrogen production using saline seawater from Egyptian coastal regions, with particular focus on the Gulf of Suez, which exhibits high salinity levels exceeding 40,000 mg/L TDS. A proton exchange membrane (PEM) electrolyzer requiring ultrapure feedwater (conductivity ≤1 µS/cm) was coupled with an optimized single-pass desalination and polishing system designed using the Water Application Value Engine (WAVE) software.The system was evaluated at a hydrogen production rate corresponding to a process water demand of 300 L/h. Simulation results demonstrate that the proposed configuration consistently meets PEM water-quality requirements while minimizing energy and chemical consumption. The desalination system achieved a energy consumption of 2.96 kWh/m3, corresponding to a desalination energy contribution below 0.03 kWh/kg-H₂. Techno-economic analysis reveals that desalinated water cost contributes less than 0.2% to the levelized cost of hydrogen (LCOH), whereas electricity consumption accounts for more than 70% of total hydrogen production cost.Across different coastal locations, variations in water cost and desalination specific energy resulted in an LCOH variation of less than 0.33%, confirming that water treatment is not a limiting factor for PEM-based hydrogen production. The findings indicate that cost reduction efforts should prioritize low-cost renewable electricity and electrolyzer performance improvements rather than further desalination optimization.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。