Integrated monitoring and lifecycle assessment of green hydrogen, ammonia, and synthetic fuels: Advancing environmental sustainability and carbon traceability in the clean energy transition
グリーン水素、アンモニア、合成燃料の統合モニタリングとライフサイクル評価：クリーンエネルギー移行における環境持続可能性と炭素トレーサビリティの向上 (AI 翻訳)
Senthil Kumar Srinivasan, S. Jayaraman, B. Sekar, Ashok Kumar Rajendran, R. Jayabal, P. Prabhakar
🤖 gxceed AI 要約
日本語
本レビューは、グリーン水素、グリーンアンモニア、合成e-fuelのライフサイクル環境性能を比較し、AIデジタルツインやSCADAなどの先進監視技術とLCAフレームワークの統合を提案する。GHG削減率は70〜98%と幅があり、電力炭素強度やシステム境界に依存する。水素は産業・電力向け、アンモニアは輸送・貯蔵、e-fuelは航空・海運での早期導入に適する。
English
This review compares green hydrogen, ammonia, and synthetic e-fuels, integrating advanced monitoring (AI digital twins, SCADA) with LCA. GHG reduction ranges 70-98% depending on electricity carbon intensity and boundaries. Hydrogen suits industry/grid, ammonia for transport/storage, e-fuels for aviation/maritime. Proposes certification-ready sustainability governance.
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
日本の水素基本戦略やアンモニア混焼政策と整合し、SSBJ開示やサプライチェーン排出量算定に資する。LCAと監視技術の統合は、国内の水素サプライチェーン構築や国際認証対応に有用。
In the global GX context
Aligns with global hydrogen certification schemes and ISSB/CSRD disclosure needs. Integrating monitoring with LCA supports credible carbon accounting for transition finance and cross-border trade. Relevant for aviation/maritime decarbonization policy.
👥 読者別の含意
🔬研究者:LCAと監視技術の統合フレームワークの比較分析として有用。
🏢実務担当者:水素・アンモニア事業の環境性能評価と認証対応に活用可能。
🏛政策担当者:クリーン燃料の国際標準や補助金設計の参考になる。
📄 Abstract（原文）
Decarbonizing the global energy system requires clean fuel pathways that are low carbon at the point of use and sustainable throughout their lifecycles. This review compares green hydrogen (H2), green ammonia (NH3), and synthetic electrofuels (e‐fuels). It focuses on integrating advanced monitoring technologies and standardized life‐cycle assessment (LCA) frameworks. We critically examine contemporary monitoring techniques, including Raman spectroscopy, tunable diode laser absorption spectroscopy (TDLAS), gas chromatography–mass spectrometry (GC–MS), fiber‐optic sensing, and AI‐enabled digital twins with SCADA systems. Their effectiveness is assessed for leak detection, fuel quality, emissions quantification, and operational safety across production, storage, transport, and end‐use phases. A synthesized cradle‐to‐grave and well‐to‐wheel LCA, consistent with International Organization for Standardization (ISO) 14040 and ISO 14044 standards, quantifies environmental performance and shows key sources of variability among the three energy carriers. The literature shows greenhouse gas (GHG) emission reduction potentials from about 70% to 98%, depending on electricity carbon intensity, production pathways, carbon dioxide (CO2) sourcing, and system boundary definitions. H2 offers the greatest decarbonization potential for industrial and grid‐scale applications. NH3 is useful for long‐distance transport and seasonal energy storage. E‐fuels, though less energy‐efficient, help facilitate near‐term adoption in hard‐to‐electrify sectors like aviation and maritime transport. Combining operational monitoring data with life‐cycle carbon accounting enables transparent, certification‐ready sustainability governance that aligns with United Nations Sustainable Development Goals 7, 9, and 13.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/ep.70328first seen 2026-05-15 19:46:42 · last seen 2026-08-02 06:22:34
🔔 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。