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Record W2112411877

A Solar Powered Adsorption Freezer: A Case Study for Egypt's Climate

2013· article· en· W2112411877 on OpenAlex
H. Z. Hassan

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

VenueInternational Journal of Energy Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicAdsorption and Cooling Systems
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAdsorptionSolar poweredCoefficient of performanceEnvironmental scienceMeteorologyAtmospheric sciencesMaterials scienceChemistryEngineeringAnalytical Chemistry (journal)Solar energyGeologyEnvironmental chemistryPhysicsMechanical engineeringElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

In this study, the operation and performance of a solar-powered adsorption based freezing unit under Egypt's weather conditions is investigated. A dynamic simu lation model is developed to simu late the cooling system considering the real variat ion of solar radiat ion, ambient temperature, and wind speed. Activated carbon and methanol are used as the working pair. Moreover, a 2m×1m flat plate solar co llector is used to power the adsorption ice-maker. The freezer is studied under the climat ic conditions of Cairo city, Egypt and in the June 23 ed , 2012. It is found that the ice machine attains a coefficient of perfo rmance of 0.618. Furthermo re, the adsorption cooling system produces daily ice o f 27.82 kg at a temperature of -5 ℃ and fro m water at a source temperature o f 25 ℃.

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 score0.212
Threshold uncertainty score0.604

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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