Limitation of Power-to-Methanol: Identifying the Barriers of Bridging Energy and Bio-Carbon to Produce Decentralized Renewable Methanol via Integrated Economical and Environmental Evaluation
パワー・トゥ・メタノールの限界：統合経済・環境評価による分散型再生可能メタノール生産の障壁特定 (AI 翻訳)
Hans Gelten, Kim Hemmer, B. Aalderink, Richard P. van Leeuwen, Zohre Kurt
🤖 gxceed AI 要約
日本語
本研究は、オランダにおけるPower-to-Methanol（PtM）導入の可能性を評価。グリーン水素を用いたCO2水素化とバイオガスの乾式メタン改質（DMR）の2経路を比較し、操業コストが設備投資を大きく上回ることを示した。両経路のメタノールコストは約2630€/トンで化石由来の約5倍、DMRの方が環境性能に優れるが、消化液の肥料利用により淡水生態毒性と富栄養化が課題。再生可能エネルギー統合と栄養塩回収技術の改善が不可欠。
English
This study evaluates Power-to-Methanol (PtM) deployment in the Netherlands via two biogenic carbon pathways: CO2 hydrogenation with green hydrogen and dry methane reforming (DMR) of biogas. Both routes yield levelized costs around €2630/tonne, roughly five times fossil methanol, with operational expenses dominated by renewable electricity. DMR shows better overall environmental performance, though digestate application raises freshwater ecotoxicity and eutrophication. Continued renewable energy integration and nutrient recovery improvements are critical for economic and environmental viability.
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e-fuelやグリーンメタノールへの関心が高まっているが、本論文はコストと環境負荷のトレードオフを定量的に示し、日本におけるバイオマス由来カーボンの活用や再生可能エネルギー統合の政策設計に示唆を与える。
In the global GX context
This paper provides a rigorous techno-economic and life-cycle assessment of Power-to-Methanol, a key enabler for decarbonizing shipping and chemicals. The finding that operational electricity costs dominate, and that biogenic carbon routes face significant environmental trade-offs (e.g., ecotoxicity from digestate), informs global transition finance and renewable fuel policy discussions.
👥 読者別の含意
🔬研究者:Provides a comprehensive simulation framework and comparative LCA for PtM pathways, highlighting cost and environmental barriers that need further innovation.
🏢実務担当者:Useful for evaluating investment in decentralized renewable methanol production, especially the cost implications of renewable electricity and biomass integration.
🏛政策担当者:Highlights that substantial cost gaps remain for green methanol vs. fossil methanol, justifying continued subsidy or carbon pricing support for Power-to-X technologies.
📄 Abstract（原文）
Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol (PtM) pathways requires a comprehensive understanding of process behavior through detailed simulation, including technical performance, economic feasibility, and environmental consequences. Despite growing interest, substantial variation remains in published levelized methanol costs, and many assessments insufficiently account for the full environmental footprint of production routes. This study evaluates the potential of PtM deployment in the Netherlands by comparing two pathways that utilize biogenic carbon sources: (i) hydrogenation of captured CO2 using green hydrogen and (ii) dry methane reforming (DMR) of biogas, followed by catalytic syngas conversion to methanol. Results indicate that operational expenses—mainly driven by renewable electricity consumption—far outweigh capital investment. Both routes yield an LCoMeOH of approximately €2630 per tonne, about five times the cost of fossil-based methanol. Life cycle analysis shows that DMR performs more favorably overall, although elevated freshwater ecotoxicity and eutrophication result from digestate application as fertilizer. Continued improvements in renewable energy integration and nutrient recovery technologies are essential for enhancing future economic and environmental performance.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/en19071626first seen 2026-05-15 19:55:44
🔔 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。