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Record W4360594735 · doi:10.15302/j-fase-2023490

SIMULATION OF O2-BLOWN CO-GASIFICATION OF WOOD CHIP AND-POTATO PEEL FOR PRODUCING SYNGAS

2023· article· en· W4360594735 on OpenAlexafffundabout
Yulin Hu, Kang Kang, Iker Zulbaran ALVAREZ, Nasim Mia, Aadesh RAKHRA

Bibliographic record

VenueFrontiers of Agricultural Science and Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsLakehead UniversityUniversity of Prince Edward Island
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSyngasPulp and paper industryBiomass (ecology)Heat of combustionWaste managementEnvironmental scienceMaterials scienceChemistryOrganic chemistryAgronomyCatalysisEngineering

Abstract

fetched live from OpenAlex

● Low-value biowaste including wood chip and potato peel was valorized to syngas. ● O2-blown co-gasification of wood chip and potato peel was simulated. ● Different reaction conditions on CCE, gas composition, and LHV were studied. ● Positive interaction between wood chip and potato peel in co-gasification was found. Potato is the fifth largest agricultural crop in Canada and contributes to the generation of an abundant amount of potato peel. However, disposal/recycling this peel remains a challenge due to the stringent environmental regulations. Consequently, there is a lack of an appropriate recycling and valorization methods of potato peel. Gasification is an effective technology for producing syngas and an ecofriendly waste disposal approach. Syngas is an important industrial intermediate to produce synthetic fuels and chemicals. To develop an ecofriendly and cost-effective valorization approach for potato peel, this study used a mixture of woody biomass (i.e., wood chips) and potato peel to produce syngas by co-gasification using O2 as the gasifying agent at a constant equivalence ratio of 0.3 using Aspen Plus simulation software. The influences of gasification temperature and wood chip/potato peel weight ratio on the carbon conversion efficiency (CCE), and product gas composition (molar fraction) and lower heating value (LHV) of product gas were investigated. This simulation indicated that a positive synergistic interaction occurs between wood chips and potato peel in co-gasification process in terms of an increase in CCE by comparing the arithmetic value and real value at all simulated wood chip to potato peel weight ratios (44.9% to 85.8%, 46.5% to 76.2%, and 48.1% to 78.6% at ratios of 25:75, 50:50, and 75:25, respectively, for wood chips to potato peel). While the molar fraction of H2 and CO decreased continuously with increase in the weight percentage of wood chips in the wood chip-potato peel mixture from 0 wt% to 100 wt% (H2, at 42.1 mol% to 41.4 mol%; and CO at 44.0 mol% to 40.4 mol%), accompanied by a decrease of the LHV of the product gas (10.3 to 9.78 MJ·Nm−3). The study concluded that co-gasification for producing syngas is feasible and environmental-friendly option to recycle and valorize potato peel.

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 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 score0.033
Threshold uncertainty score0.245

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 studies0.0000.000
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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes3
Has abstractyes

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