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Record W6920183764 · doi:10.60692/e35zv-1q278

Glycerol, the Co-Product of Biodiesel: One Key for the Future Bio-Refinery

2011· article· en· W6920183764 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2011
Typearticle
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsnot available
Fundersnot available
KeywordsRaw materialSustainabilityRenewable energyFossil fuelAgricultureRenewable resourceProduction (economics)Sustainable developmentResource (disambiguation)

Abstract

fetched live from OpenAlex

The uncertainty of supply and prices of oil and the difficulty to establishing a sustainable model of economic and environmental development are weaknesses in the economies that depend entirely on fossil fuels, as in the most industrialized countries.In addition, the chemical industry uses about 15% of total oil consumption, 10% as raw material and 5% as fuel, being this industry still largely based on non-renewable raw materials, whose use does not control.Accordingly, from 1990 has been increasing interest in finding alternative sources of raw materials, emerging as obvious one the biomass, because it is an abundant, sustainable, and renewable energy-primary resource that can provide transport fuel, organic chemicals, and materials currently produced by fossil sources [Fulton, 2004].In the past few years, research and technological projects related to the use of biomass as raw material to produce energy and industrial products are receiving support in countries like U.S.A., Germany, and Canada [Archambault, 2004;Werpy and Petersen, 2004;Oertel, 2007].The use of biomass as raw material implies its transformation into chemicals and materials of commercial interest.It means moving from a petroleum-based economy to a biomassbased one; some potential advantages associated with this transition are: exploiting of unused productive capacity in agriculture and forest industry, developing new materials not available from petrochemical sources, revitalizing rural economies through local production and processing of renewable raw material sources, a more balanced development between urban and rural areas, economically sustainable development and environmental sustainability easier to achieve by using renewable raw materials, a decrease in net CO 2 emissions to the atmosphere, and a reduced outside dependence on both energy and raw material sources.In this context and by similarity with the refinery, which is the base industrial unit of petro-economy, emerges the concept of "Biorefinery", which is the production facility in which biomass is transformed into energy and bioproducts.Bio-compounds, those ones produced from renewable sources, have a growing importance among the transport fuels.The EU imposed a 2% content of biocompounds into transport fuels by the end of 2005, increasing to 5.75% by the end of 2010 [EU Directive 2001/0265].Transesterification of vegetable oils with methanol produces biodiesel, which is a mixture of methyl esters of fatty acid [Ali et al., 1995;Peterson et al., 1996;Vicente and Martínez, 2004].This process generates glycerol as by-product, approximately 10 wt.% of total product.In this context, Province of Santa Fe in Argentine produces more than 2,500,000 tons of www.intechopen.com

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.008
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.008

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 head0.037
GPT teacher head0.186
Teacher spread0.149 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations0
Published2011
Admission routes1
Has abstractyes

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