Green-Hydrogen Energy Share: An Intuitive Metric to Compare Energy Density and H2 Efficiency in Biofuels and E‑Fuels
グリーン水素エネルギーシェア：バイオ燃料とe燃料のエネルギー密度と水素効率を比較する直感的な指標 (AI 翻訳)
Ada Robinson Medici, A. Giuliano, N. Pierro, I. de Bari, Stavros Papadokonstantakis
🤖 gxceed AI 要約
日本語
本論文は、液体バイオ燃料とe燃料の水素利用効率を比較するための新たな指標HESとHES%を提案する。これらの指標はエネルギー収支に基づき、11の産業経路に適用され、電解水素とバイオマスのトレードオフを明確にする。詳細な技術経済評価を補完する第一近似指標として有用である。
English
This paper proposes two indices, HES and HES%, to quantify hydrogen utilization efficiency in liquid biofuels and e-fuels. Based on energy balances, they are applied to 11 pathways, making explicit the trade-off between electrolytic hydrogen and biomass. The metrics serve as first-order tools to complement detailed assessments.
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GX政策では水素の活用が重視されているが、バイオマスとの比較は不十分である。本指標は、国内での水素エネルギー配分やe-fuel導入判断において、エネルギー効率の観点から簡易的な比較材料を提供する。
In the global GX context
Global energy transition debates increasingly focus on hydrogen vs. biofuels. This metric provides a transparent, energy-based comparison that can guide investment and policy decisions, especially where clean power and biomass availability vary regionally.
👥 読者別の含意
🔬研究者:Provides a standardized energy metric to compare hydrogen efficiency across different fuel pathways, useful for system-level analysis.
🏢実務担当者:Helps energy companies and project developers quickly assess the hydrogen intensity of various fuel production routes.
🏛政策担当者:Offers a clear framework to compare trade-offs between electrolytic hydrogen and biomass in low-carbon fuel strategies.
📄 Abstract（原文）
This communication proposes two indices to quantify hydrogen utilization efficiency and compare biofuels and e-fuels on a common energy basis: Hydrogen-Energy Share coefficient, HES [MJH2/kgfuel], and its complementary, Hydrogen Energy fraction, HES% [MJH2/MJfuel]. Mass- and energy-balanced data sets are normalized to 1 MJ of produced-fuel (lower heating value). External-energy demand is disaggregated into feedstock provision, synthesis-plant operation, and renewable power for green hydrogen (G-H2) electrolysis. Then, the metrics are applied across 11 industrially relevant pathways, 5 e-fuels, and 6 biomass-to-liquids biofuels, as a compact demonstration data set. The analysis is restricted to liquid fuel routes; hydrogen storage vectors (e.g., ammonia and LOHCs) are outside the present scope. Total energy input spans an order of magnitude, from 0.19 MJH2/MJHVO to 2.62 MJH2/MJe‑FT. In e-fuel pathways, most input is the electricity used to produce G-H2 (1.6–2.0 MJH2/MJe‑fuel) with HES up to 60 MJH2/kge‑CH4 and HES% ≥ 100%. Bioroutes use little electrolytic hydrogen but depend on sustainable biomass y (0.08–1.06 MJbiomass/MJbiofuel); HES ranges 3–38 MJH2/kgbiofuel and HES% ≤ 80%. Defined purely from energy balances, HES/HES% are proposed as first-order hydrogen-energy metrics to be used alongside, rather than instead of, detailed techno-economic and environmental assessments. These indexes make the electricity-versus-biomass trade-off explicit and intuitive in the deployment discussion: bioroutes where low-carbon power is scarce but biomass is available, electrofuels where cheap clean power and concentrated CO2 are colocated.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1021/acsomega.5c09592first seen 2026-05-15 19:27:03
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