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Record W4381570798 · doi:10.5897/ajest2022.3170

Investigation of parameters influencing gas production and gasification kinetics of Ziguinchor biomass

2023· article· en· W4381570798 on OpenAlex
DIEDHIOU Ansoumane, NDIAYE Lat-Grand, BENSAKHRIA Ammar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAfrican Journal of Environmental Science and Technology · 2023
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsCharPyrolysisBiomass (ecology)Raw materialArrhenius equationChemistryHeat of combustionKineticsVolume (thermodynamics)ReagentGas compositionChemical compositionChemical engineeringMaterials sciencePulp and paper industryActivation energyThermodynamicsCombustionOrganic chemistry

Abstract

fetched live from OpenAlex

This study presents the gasification of three types of biomass residues (wood, stem and shells) under CO2 and water steam, using the different analyses X-ray fluorescence (XRF). Generally, the experiments are carried out using XRF installations and a fixed bed reactor system. The tests are carried out on wood, stems, and shells, because of their energy contents (Lower heating value LHV), and their high availability in the Ziguinchor region (Senegal). The solid residues obtained after pyrolysis were used to carry out the gasification tests. Thus, several gasification tests were carried out and the results were interpreted using the Arrhenius equation. Two kinetic models (Volume Reaction Model, and Shrinking Core Model) were used to explain the influence of experimental parameters (nature of biomass, reagent type, and temperature) on synthesis gas production. From the experimental results, it is found that the nature of the sample, the reagent, and the variation in temperature have significant effect on the char kinetics conversion. In addition to the differences in the chemical composition of the raw sample, ash and char density, an explanation on the parameters effects, which vary the conversion kinetics during the gasification tests is given. The purpose of this work is to understand the kinetic variations of raw materials in the fixed bed reactor during gasification.   Key words: Biomass residues, gasification, kinetic conversion, ash chemical composition.

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.

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 categoriesnone
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 score0.008
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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