Evidence map›Paper›PMID 42834060›Full record

ArticleNature communications2026

Toward efficient green methanol from biomass and renewable power.

Sheng Zhao, Jingran Zhang, Jinyang Lu, Zibiao Liu, Bofan Wang, Ye Wu, Jiming Hao, Michael B McElroy, Ming Zhao

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sheng Zhao *School of Environment, Tsinghua University, Beijing, 100084, China.
Jingran Zhang *Harvard-China Project on Energy, Economy and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA. jingranzhang@seas.harvard.edu.ORCID http://orcid.org/0000-0003-1850-885X
Jinyang LuEnvironmental Technology, Wageningen University & Research, Bornse Weilanden 9, 6708, WG, Wageningen, the Netherlands.
Zibiao LiuSchool of Environment, Tsinghua University, Beijing, 100084, China.
Bofan WangSchool of Environment, Tsinghua University, Beijing, 100084, China.
Ye WuSchool of Environment, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-9928-1177
Jiming HaoSchool of Environment, Tsinghua University, Beijing, 100084, China.
Michael B McElroyHarvard-China Project on Energy, Economy and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA. mbm@seas.harvard.edu.ORCID http://orcid.org/0000-0002-1354-167X
Ming ZhaoSchool of Environment, Tsinghua University, Beijing, 100084, China. ming.zhao@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-5801-5593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green methanol could help decarbonize transport and industry, but its production roadmap remains uncertain because biomass conversion, renewable hydrogen supply, the emissions and cost of electricity are tightly coupled. Here we show, using pilot-scale gasification data and industrial process parameters, how four biomass- and renewable-power-based methanol routes differ in technical performance, life-cycle greenhouse gas emissions and production cost, and identify deployment-relevant boundary conditions. Gasification integrated with renewable hydrogen balances carbon utilization and energy efficiency, reaching 92% and 54%, respectively. Direct combustion followed by carbon dioxide hydrogenation raises carbon utilization to 96% but requires substantially more electrolysis-derived hydrogen. Under hybrid wind and solar power, all routes remain below the European low-carbon fuel threshold, although the maximum electricity emission factors compatible with this threshold vary from 0.057 to 0.373 kilograms of carbon dioxide equivalent per kilowatt-hour. Gasification without added hydrogen is currently the least-cost route. Hydrogen-integrated gasification approaches its cost when renewable electricity falls below US$21 per megawatt-hour, and approaches coal-based methanol costs at carbon prices of US$40-90 per tonne of carbon dioxide. These results define practical boundaries for route deployment.

Identifiers

PMID42834060
PMCPMC13639020

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.