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Record W2385773245

Optimization and Energy Saving of Air Dilution Cooling Method in Dedusting Engineering

2009· article· en· W2385773245 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

VenueBuilding Energy & Environment · 2009
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsDilutionProcess engineeringProcess (computing)EngineeringWater coolingEnergy (signal processing)Control (management)Process controlWaste managementMechanical engineeringEnvironmental scienceComputer scienceThermodynamicsMathematics
DOInot available

Abstract

fetched live from OpenAlex

In dedusting projects, air dilution cooling is applied widely as a common method to handle high temperature waste fumes. On process engineering for this kind of system, attention is often focused on dilution cooling temperature control, on the same time, the energy saving and economic factors of projects are ignored, furthermore, under some complex situations, the lack of necessary calculation methods and control policy in engineering lead to unsatisfied project results. Combined with engineering examples, the relationship between the process control optimization and energy saving of the air dilution cooling method in dedusting engineering was analyzed, and the existing problems and corresponding calculation and solution method were discussed.

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: Methods · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score0.653

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 head0.005
GPT teacher head0.192
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