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Record W2028834714 · doi:10.1021/ef020031a

Production of Synthesis Gas/High-Btu Gaseous Fuel from Pyrolysis of Biomass-Derived Oil

2002· article· en· W2028834714 on OpenAlexaff
S. Panigrahi, S. T. Chaudhari, Narendra N. Bakhshi, Ajay K. Dalai

Bibliographic record

VenueEnergy & Fuels · 2002
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPyrolysisBiomass (ecology)Heat of combustionFossil fuelMethaneFuel gasRenewable energyChemistryGas compositionNitrogenPulp and paper industryMaterials scienceOrganic chemistryCombustion

Abstract

fetched live from OpenAlex

Depletion of fossil fuels is creating opportunities in exploring alternative sources of energy. Biomass materials, being renewable, have attracted attention as a potential source of energy such as electricity, fuel gases, and transport fuels, etc. At present, technologies exist to pyrolyze biomass to produce a liquid product, namely, biomass-derived oil (BDO). This BDO has found a variety of applications. In this investigation, a systematic study was carried out on the pyrolysis of BDO at various temperatures in a tubular reactor at atmospheric pressure. BDO was fed at a flow rate of 4.5 to 5.5 g/h along with nitrogen (18−54 mL/min) as a carrier gas. Conversion of BDO was up to 83 wt % where gas production was 45 L/100 g of BDO at 800 °C and a constant nitrogen flow rate of 30 mL/min. The gas product essentially consisted of H 2, CH 4, CO, CO 2, C 2, C 3, and C 4+ hydrocarbons. Composition of product gas ranged between syn gas 16−36 mol %, CH 4 19−27 mol %, and C 2 H 4 21−31 mol %. Heating values ranged between 1300 and 1700 Btu/SCF. Thus, the present study shows that there is a strong potential for making syn gas, methane, ethylene, and high-heating-value Btu gas from the pyrolysis of BDO.

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 categoriesInsufficient payload (model declined to judge)
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 score0.031
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.172
Teacher spread0.163 · 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

Citations29
Published2002
Admission routes1
Has abstractyes

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