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Record W2067910687 · doi:10.1115/isec2005-76173

Non-Isothermal, Flat-Plate Liquid-Desiccant Regenerators: A Numerical Study

2005· article· en· W2067910687 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

VenueSolar Energy · 2005
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsRegenerative heat exchangerDesiccantAir conditioningIsothermal processMass transferMaterials scienceSolar energyProcess engineeringLiquid desiccantEnvironmental scienceThermodynamicsHeat transferHeat exchangerMechanicsMechanical engineeringNuclear engineeringComposite materialPhysicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Solar energy can play a significant role in increasing the environmental sustainability of air-conditioning systems and a number of thermally-driven solar air-conditioning technologies are available. Among these technologies, liquid-desiccant systems have the potential to operate efficiently at lower regeneration temperatures, allowing for better use of flat plate collectors. In these systems, air to be conditioned is dehumidified through direct contact with a desiccant solution. This solution is then heated at the regenerator and water is evaporated into a scavenging air stream. This paper presents an analysis of the heat and mass transfer in a parallel-plate internally-heated liquid-desiccant regenerator. Using a finite-difference technique, a numerical analysis was performed to solve the species and energy equations. The influence of regenerator hot water parameters (temperature and mass flow), and solar collector efficiency on regeneration capacity and specific energy consumption was evaluated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.281
Teacher spread0.261 · 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