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Pyrolytic conversion of construction, renovation, and demolition (CRD) wood wastes in Québec to biochar: Production, characterization, and identifying relevant stability indices for carbon sequestration

2025· article· en· W4406940266 on OpenAlexafffundabout
Aravind Ganesan, Olivier Rezazgui, Simon Langlois, Cyrine Boussabbeh, Simon Barnabé

Bibliographic record

VenueThe Science of The Total Environment · 2025
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersMitacsUniversité du Québec à Trois-Rivières
KeywordsBiocharPyrolytic carbonDemolitionDemolition wasteCarbon sequestrationEnvironmental scienceCharacterization (materials science)Carbon fibersProduction (economics)Waste managementMaterials sciencePyrolysisChemistryEngineeringNanotechnologyCarbon dioxideCivil engineeringComposite material

Abstract

fetched live from OpenAlex

Management of heterogeneous construction, renovation, and demolition (CRD) wood residues in Québec brings into light, a widespread topic under discussion related to their current disposal methods in landfills, that may lead to environmental concerns. With rising forfeitures from a legal standpoint, alternative treatment methods for CRD wood wastes are being explored. Thermochemical biomass conversion techniques can be employed to depolymerize low-quality end-of-life CRD wood and valorize it to bio-based products. Biochar, a carbonaceous material obtained through heat treatment of wood under the absence of oxygen via slow pyrolysis, can be tailored for specific end-use applications in hard-to-abate industrial sectors pertinent to energy, composite materials, and environmental amendments. However, there is a scarcity of comprehensively understanding CRD wood pyrolysis and projecting the biochar product's stability due to a lack of relevant studies and frequent inconsistencies amidst currently available methods. Nevertheless, in the present study, CRD wood is pyrolyzed in a horizontal tube furnace of two scales under laboratory conditions. Temperatures ranging from 300 to 800 °C, biomass residence time (BRT) of 30–120 min, heating rates of 20–55 °C/min, and mass of feedstock between 100 and 500 g were the operational conditions chosen for experimentation. Evaluation of biochar stability was carried out by the proximate and ultimate analysis, Van-Krevelen plots, TGA/DTG profile, R50 recalcitrance, SEM-EDX, and Raman I D /I G methods. Data analysis indicated that carbon content (89–90 %), FC (70–74 %), TSF (73–75 %), R50 (0.64–0.65), and I D /I G (0.972) increased with an increase in BRT (120 min) and pyrolysis temperature (800 °C) rendering its utilization in metallurgical applications as a reductant. A surface area of 220–270 m 2 /g was also detected for these biochar at 800 °C recommending its implementation for adsorption applications. Biochar's cation exchange capacity (CEC), pH, and hydrophobicity also increased at high temperatures nurturing the ability to be used for soil pH adjustment as part of remediation activities. SEM-EDX proved that ash content predominantly harboring alkaline and alkaline earth metals (AAEM) like Ca and K also increased but to a certain point from where their devolatilization is implicit, thereby concentrating stable carbon. As for functionalities in biochar, they decreased from 500 to 800 °C verifying the rejection of oxychemicals groups. Noticeable striations associated to C-H/C-O/C=O vibration, stretching, and bending from FTIR spectral bands were linked to terminal dehydrogenation, condensation, and aromatization reactions highlighting the development of C C and C C linkages commonly assigned to aromatics. Evident from low Van-Krevelen H/C (0.51–0.09) and O/C (0.08–0.02) indices, it can be extrapolated that high-temperature biochars in PR:1 and PR:2 possess a high permeance that could bolster its utilization in carbon sequestration/draw-down and other CDR applications. • Québec contributes to 13 % of overall CRD wood waste generation in Canada • Slow pyrolysis was chosen to valorize non-recyclable CRD wood waste to bioproducts • Horizontal tube furnace carbonized CRD wood with good physiochemical properties • Pyrolysis temperature significantly influenced biochar properties ( p -value ≤0.05) • Raman I D /I G , H/C, O/C, and proximate analysis are reliable stability indices

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 score0.027
Threshold uncertainty score0.204

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 studies0.0000.001
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 head0.008
GPT teacher head0.195
Teacher spread0.188 · 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

Citations24
Published2025
Admission routes3
Has abstractyes

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