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Record W3002319297 · doi:10.1002/ghg.1955

An efficient waste management system with municipal solid waste incineration plant

2020· article· en· W3002319297 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

VenueGreenhouse Gases Science and Technology · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsIncinerationWaste managementMunicipal solid wasteExergyEnvironmental scienceMethaneTonHeat of combustionCombustionWaste-to-energyEnvironmental engineeringEngineeringChemistryGeography

Abstract

fetched live from OpenAlex

Abstract This study proposes a waste management system for metropolitan cities and presents a thermodynamic analysis and emission assessment of a municipal solid waste incineration plant operating with collected wastes from the 37 municipalities of Istanbul city, Turkey. A thermodynamic analysis of the proposed system shows that 53.72 MW of electricity generation and the heat of 99.4 MW for district heating are obtained with the municipal solid waste incineration. The energy and exergy efficiencies of the plant are 55.5% and 35.4%, respectively. The rate of exergy destruction for each component in the plant and their variation with ambient temperature is calculated. The maximum rate of destruction occurs for the combustion chamber as 44.02 MW. According to the emission assessment, total CO 2 emission is 45 500 ton per year and this value can be reduced to 4550 ton per year with the addition of carbon capturing and storage unit. The other released emissions from the incineration plant such as CH 4 , N 2 O, CO, NH 3 , and non‐methane volatile organic compounds (NMVOCs) are found to be 0.15, 34.36, 201.03, 16.08, and 20.10 ton per year, respectively. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.012
GPT teacher head0.217
Teacher spread0.206 · 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