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Record W4388536867 · doi:10.18280/jesa.560507

Comparative Evaluation of a Conventional and Photovoltaic/Thermal-Integrated Solar Distiller under Iraqi Climatic Conditions

2023· article· en· W4388536867 on OpenAlexvenueno aff
Maryam A. Jasim, Omer K. Ahmed

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2023
Typearticle
Languageen
FieldComputer Science
TopicSolar Radiation and Photovoltaics
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoltaic systemEnvironmental scienceThermalEngineering physicsMeteorologyEngineeringGeographyElectrical engineering

Abstract

fetched live from OpenAlex

The integration of photovoltaic/thermal (PV/T) collectors with solar distillation processes is explored in this investigation, which seeks to augment the efficiency of solar distillers.Development and experimental assessment of a novel solar system, employing a PV/T collector for performance enhancement of a solar distiller, were carried out in Kirkuk City, Iraq, located at 35.46˚N latitude and 44.38˚E longitude.Two experimental models were constructed: a conventional double-slope solar distiller served as the baseline, whereas the second model was a double-slope solar distiller integrated with a PV/T collector.Four water depths (3, 4, 7, and 10 cm) were investigated to ascertain their effects on the system's output and efficiency.It was observed that the integration of the solar distiller with the PV/T collector resulted in a significant enhancement in system efficiency, achieving 18.81%, compared to a 5.15% efficiency demonstrated by the conventional distiller.The study further confirmed the substantial influence of water depth in the basin on the performance of both the hybrid and traditional solar distillation systems.Optimal results were achieved with a water depth of 3 cm, yielding productivity of 1.55 and 0.447 litre/day, and efficiency of 18.81% and 5.15%, for the integrated and conventional systems, respectively.When the water depth was increased to 5 cm, the respective productivity decreased to 1.252 and 0.243 litre/day, with corresponding efficiency of 16.87% and 3.22%.

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.

How this classification was reachedexpand

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)0.002
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 score0.430
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.062
GPT teacher head0.322
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

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