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Role of Biomass Gasification in Achieving Circular Economy

2024· article· en· W4398139103 on OpenAlexaff
Anil Kumar Vinayak, Hridya Ashokan, Sanyukta Sinha, Yogita Halkara, Anand V.P. Gurumoorthy

Bibliographic record

VenueRecent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering) · 2024
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCircular economyBiomass (ecology)Biomass gasificationEnvironmental scienceWaste managementBusinessNatural resource economicsEconomicsEngineeringEcologyBiology

Abstract

fetched live from OpenAlex

: Growing awareness of environmental concerns and the prioritisation of environmental stewardship necessitates the incorporation of sustainability practices that are both economical and profitable. This involves transforming existing industrial practices from the ‘take-make-waste’ approach to one that aligns with the principles of a circular economy. This includes the use and restoration of bioreserves or the cycling of products in a manner that minimizes waste generation by employing the concepts of reuse and recycling. The adoption of circular economy principles is especially critical in energy-intensive industries, and there is increased attention to implementing these principles through biomass gasification. Various methodologies exist for utilizing the potential of biomass by employing biomass gasification to achieve the desired levels of energy output. Techniques incorporating circular economy principles for biomass gasification have become increasingly sought after and achieved widespread implementation in the past few decades. In this paper, we examine the principle of a circular economy and how biomass gasification can be leveraged in processes requiring high-energy input to achieve the same.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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