Carbon Capture and Synthetic E-Fuels: A Quantitative Chemical and Computational Study of E-Kerosene as a Sustainable Aviation Fuel
炭素回収と合成e-fuel：持続可能な航空燃料としてのe-ケロシンの定量的化学および計算研究 (AI 翻訳)
Avyaay Rathi
🤖 gxceed AI 要約
日本語
本論文は、大気中CO2とグリーン水素からe-ケロシンを製造するPower-to-Liquid経路を定量的に分析。風力・太陽光発電による製造ではライフサイクル排出量が従来ジェット燃料比88%削減（平均0.27 kg CO2/L）となる一方、石炭火力では6倍超に悪化。総合エネルギー効率42%、コストは1.35～4.50ドル/L（2035年楽観予測で0.85ドル/L）。電力炭素原単位が約200 g CO2/kWh未満で気候便益が生じ、電解槽効率が最大の改善点と結論。
English
This paper presents a quantitative analysis of e-kerosene production via the Power-to-Liquid pathway using DAC and green hydrogen. Results show 88% lifecycle emission reduction (0.27 kg CO2/L average) with wind/solar electricity, but coal-based electricity increases emissions sixfold. Overall efficiency is 42%, and levelized cost ranges $1.35–4.50/L, potentially falling to $0.85/L by 2035. The study identifies a critical electricity carbon intensity threshold (~200 g CO2/kWh) for climate benefits and electrolyzer efficiency as the dominant improvement lever.
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
本論文の定量分析は、日本が注力する持続可能航空燃料（SAF）や水素戦略に対し、技術的・経済的ベンチマークを提供する。特に電力由来の炭素原単位閾値やコスト低減要因の特定は、日本のSAF導入政策や補助金設計に示唆を与える。ただし日本固有のデータではなく、グローバルな知見として位置づけられる。
In the global GX context
This paper provides rigorous quantitative benchmarks for e-kerosene production, including Monte Carlo uncertainty and sensitivity analysis, which are valuable for global aviation decarbonization policy. The identification of a critical electricity carbon intensity threshold (~200 g CO2/kWh) offers clear guidance for ensuring climate benefits from e-fuels. The results directly inform corporate transition planning and government subsidy design, especially as ISSB and CSRD require more detailed Scope 1-3 accounting for aviation.
👥 読者別の含意
🔬研究者:Provides a reproducible modeling framework (Python simulation, Monte Carlo, sensitivity analysis) that can be adapted for other e-fuel pathways or regional electricity mixes.
🏢実務担当者:Offers actionable cost and emission benchmarks for corporate SAF procurement and technology investment decisions, highlighting electrolyser efficiency as key lever.
🏛政策担当者:Identifies a clear electricity carbon intensity threshold (~200 g/kWh) to ensure e-kerosene provides climate benefits, informing subsidy eligibility and infrastructure planning.
📄 Abstract（原文）
Synthetic e-fuels derived from captured atmospheric CO₂ and green hydrogen represent a potentially carbon-neutral alternative to fossil fuels for the aviation sector, where electrification remains energy-density-constrained. This paper presents a rigorous quantitative investigation of e-kerosene production via the Power-to-Liquid (PtL) pathway, integrating: (i) full stoichiometric and thermodynamic derivations for PEM electrolysis, Direct Air Capture (DAC), and Fischer–Tropsch (FT) synthesis; (ii) Anderson–Schulz–Flory (ASF) product distribution modelling; (iii) a complete Python simulation computing fuel yield, life-cycle CO₂ emissions, and levelised production cost under six electricity supply scenarios; and (iv) Monte Carlo uncertainty quantification (n = 50,000 trials) and tornado sensitivity analysis. Results show that e-kerosene produced with wind or solar electricity yields net life-cycle emissions of 0.08–0.74 kg CO₂/L (mean 0.27 kg/L), an 88% reduction relative to conventional jet fuel (2.31 kg/L). With coal-based electricity, emissions exceed fossil baseline by more than 6×. Overall PtL energy efficiency is 42%, representing a hard thermodynamic ceiling. Levelised cost ranges from USD 1.35–4.50/L, falling to USD 0.85/L under 2035 optimistic projections. Six original quantitative conclusions are derived, including the identification of a critical electricity carbon intensity threshold (~200 g CO₂/kWh) below which e-kerosene is climate-beneficial, and the prioritisation of electrolyser efficiency as the dominant technical lever for both emissions and cost reduction.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20151018first seen 2026-05-17 06:43:22 · last seen 2026-05-20 05:14:01
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