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Record W4382542928 · doi:10.18280/mmep.100315

Nanomaterials and Phase-Changing Materials in a U Vacuum Tube Solar Collector

2023· article· en· W4382542928 on OpenAlexvenueno aff
Ali Najim Abdullah Saieed, Muna Hameed Alturaihi, Lina Jassim, Hasan Sh. Majdi

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicRadiative Heat Transfer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTube (container)NanomaterialsMaterials scienceVacuum tubeNanotechnologyEngineering physicsComposite materialEngineering

Abstract

fetched live from OpenAlex

Solar Water Heating (SWH) systems provide an environmentally friendly means of generating hot water for domestic or commercial applications by harnessing solar radiation throughout the year.Despite their benefits, SWH systems can be limited by inconsistent solar energy density, often necessitating the use of auxiliary booster units.Recent research has demonstrated that incorporating phase change materials (PCMs) as energy storage media in SWH systems can mitigate the need for booster units.In this study, a novel SWH system was designed with a PCM-based storage unit integrated into a U-shaped vacuum tube solar collector, incorporating Al2O3 nanoparticles to enhance thermal performance.Mathematical simulations were conducted to analyze the melting and solidification processes of the PCM over 3600 s daytime and nighttime intervals.Results indicated that the addition of nanoparticles led to a significant improvement in daily thermal efficiency, despite minor variations in outlet temperature.It was observed that the heat transfer mechanism was accelerated in the morning due to solar energy, with optimal fluid solidification achieved at 0.5 wt percent nanoparticle concentration.In the absence of sunlight, the thermal discharge process commenced, transferring heat from the PCM to the evacuated tube and gradually solidifying the material.This study highlights the potential of nanomaterial-enhanced PCM integration for optimizing SWH system performance and reducing the reliance on auxiliary booster units.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.144
Threshold uncertainty score1.000

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 head0.028
GPT teacher head0.225
Teacher spread0.197 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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