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Record W2909881905 · doi:10.1002/ente.201801011

Biomass Briquettes as an Alternative Fuel: A Comprehensive Review

2019· review· en· W2909881905 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnergy Technology · 2019
Typereview
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsBriquetteRaw materialBiomass (ecology)CombustionWaste managementEnvironmental scienceHeat of combustionTorrefactionBioenergySolid fuelBiofuelPulp and paper industryEngineeringCoalPyrolysisAgronomyChemistry

Abstract

fetched live from OpenAlex

Effectively utilizing agro residues, when abundantly available, can help energy conservation efforts and increase farmers’ incomes. This article highlights the effective utilization of agro and industrial biomass residues in the form of briquettes. The various types of feedstock used and the technologies adopted in the briquetting process are discussed. Process parameters and feedstock variables influencing briquetting are described. Combustion studies undertaken using briquettes are comprehensively detailed. This literature review reveals that the combustion characteristics of briquettes not only depend on the type of the feedstock but also on the density, moisture content, binder percentage, and method used for briquetting. Higher ash content lowers the calorific value. The ash formed during combustion causes slagging and fouling which in turn lead to corrosion. It is concluded that biomass briquettes can meet the energy demands for cooking and heating needs, especially in rural areas where abundant biomass feedstock is available. It is recommended that research focuses more on investigating emissions along with the combustion of briquettes manufactured from different origins.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.025
GPT teacher head0.290
Teacher spread0.264 · 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