Evidence map›Paper›PMID 42293305›Full record

ArticleIndustrial & engineering chemistry research2026

Assessing Biomass-Based Methanol Production via Electrified Gasification and Solar-Assisted CO

Usman Khan Jadoon, Pullah Bhatnagar, Daniel Flórez-Orrego, Meire Ellen Gorete Ribeiro Domingos, Manuel Rodríguez, François Maréchal

Abstract read
In one paragraph

Article in Industrial & engineering chemistry research, 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
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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

6 authors.

Usman Khan JadoonDepartamento de Ingeniería Química Industrial y del Medioambiente, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain.ORCID https://orcid.org/0000-0002-9769-8382
Pullah BhatnagarIndustrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL, Sion 1950, Switzerland.
Daniel Flórez-OrregoIndustrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL, Sion 1950, Switzerland.
Meire Ellen Gorete Ribeiro DomingosIndustrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL, Sion 1950, Switzerland.
Manuel RodríguezDepartamento de Ingeniería Química Industrial y del Medioambiente, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain.
François MaréchalIndustrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL, Sion 1950, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates an electrified biomass-to-methanol synthesis pathway integrated with carbon utilization and renewable energy technologies. Two representative feedstock categories are assessed, namely, lignocellulosic biomass (pine) and agri-food wastes (spent coffee grounds, SCG). Process simulations are conducted in Aspen Plus for four configurations: a fully electrified base case powered by grid electricity, a solar-assisted variant of base case, a methanation-enhanced configuration of base case, and a hybrid system combining both solar electricity and methanation. An advanced process optimization framework is applied to enhance waste heat recovery, power generation, and utility integration, while identifying the minimum energy requirements (MER) of each configuration. Electrification of gasification and reforming processes enhances carbon utilization, achieving carbon efficiencies of 61.6% for lignocellulose and 52.6% for agri-food waste. Methanation further improves carbon recovery to 82.9 and 68.4%, while solar integration increases efficiencies to 87.3 and 73.6%, respectively. Feedstock cost remains the dominant driver of the minimum selling price (MSP), whereas solar integration significantly reduces external utility dependence. Carbon credits for captured biogenic CO

Identifiers

PMID42293305
PMCPMC13262690

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Registered trials

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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.