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Record W4408252434 · doi:10.1016/j.jece.2025.115920

Development and comparative eco-techno-economic analysis of two carbon capture and utilization pathways for polyethylene production

2025· article· en· W4408252434 on OpenAlexafffund
Farah Mufarrij, Philippe Navarri, Yaser Khojasteh Salkuyeh

Bibliographic record

VenueJournal of environmental chemical engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsNatural Resources CanadaConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaNatural Resources CanadaEnvironment and Climate Change Canada
KeywordsProduction (economics)Carbon fibersWaste managementChemistryBiochemical engineeringBusinessEnvironmental scienceComputer scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

The aim of this work is the design and eco-techno-economic analysis of novel technologies for low- and high-density polyethylene production, based on CO 2 capture and utilization in the methanol-to-olefins process. Two primary routes for methanol production are investigated and compared to the conventional method: direct hydrogenation of CO 2 to methanol and tri-reforming of methane and CO 2 . The former involves the conversion of CO 2 into methanol, while the second, natural gas and CO 2 are reformed to produce methanol. Methanol is converted into ethylene which is then polymerized into polyethylene. Utilizing simulation and lifecycle assessment results, we conducted comprehensive eco-techno-economic assessments for both polymers to assess the potential contribution of these pathways to a more circular economy. The results showed that a minimum selling price of at least 5,934 USD/tonne of polymer is needed to make the processes financially attractive. Since these prices are significantly higher than market prices, they are unable to compete in the market. Consequently, the impact of CO 2 utilization credit, as a financial incentive to encourage the adoption of technologies that reduce CO 2 emissions, is also studied. The analysis revealed that a minimum credit of 668 USD/tonne of CO 2 is needed to make the process economically viable. Moreover, our e-TEA results showed that the TRM-based route is more financially viable than the CO 2 hydrogenation alternative, provided that the CO 2 mitigation credit is lower than 468 USD/tonne of CO 2 . The sensitivity analysis of various parameters is also conducted to determine the profitability of each technology at various market conditions. • CCU is used for the production of LDPE and HDPE via the intermediate methanol • TRM is used as a comparative pathway for polyethylene production • e-TEA is conducted to compare the selling price of polyethylene to market price • Electricity and equipment costs have the largest contribution to selling price • A CO 2 credit of at least 668 USD/tonne CO 2 is needed to reduce the price gap

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.212
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes2
Has abstractyes

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