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Record W4415053966 · doi:10.1016/j.wen.2025.10.001

Thermal-assisted aerobic composting: a sustainable approach to sludge dewatering and process optimization

2025· article· en· W4415053966 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

VenueWater-Energy Nexus · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDewateringMoistureWater contentProcess (computing)Organic matterSewage sludgeAerobic digestionVolume (thermodynamics)

Abstract

fetched live from OpenAlex

• Thermal assistance reduced aerobic composting initiation time by about 85.71%. • Thermal assistance reduced complete aerobic composting cycle by about 68.18%. • Time periods of moisture removal and organic matter degradation are identified. • The substance-energy changes of thermal-assisted aerobic composting is revealed. Thermal-assisted aerobic composting is a novel process for treating municipal dewatered sludge (MDS), the core of which is effective moisture removal from MDS through the synergistic action of thermal treatment and microorganisms. In this study, the operational condition combination of the thermal-assisted aerobic composting process was effectively optimized through the implementation of an orthogonal experiment. On the basis of these findings, the technical superiority of this process was confirmed by comparing it with traditional drying processes and by exploring the material and energy changes during the thermal-assisted aerobic composting process. The results revealed that the optimal process conditions for thermal-assisted aerobic composting were as follows: a heating temperature of 50 °C, a ratio of MDS to auxiliary materials (AM) of 4:1, and continuous turning. Thermal assistance significantly shortened the initiation time of aerobic composting, reducing the entire composting cycle to 7 days. The mixture of MDS and AM after completing the process presented a low moisture content (21.8 ± 2.2%) and high calorific value (19583.1 ± 42.4 kJ/kg), indicating that the mixture has excellent performance in subsequent thermal treatment. Process analysis revealed that moisture removal primarily occurred during the 0 st-10 th days of operation, whereas organic matter degradation mainly took place between the 10 th -20 th hours. The process heat changes revealed that the heat input exceeded the heat output, demonstrating that rapid moisture content reduction could spontaneously proceed in a positive direction. This study provides a theoretical basis and foundation for an inventive path for the drying MDS.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.557

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)0.0000.000

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 head0.007
GPT teacher head0.204
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