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Record W4381613798 · doi:10.11159/ffhmt23.110

Heat Transfer Analysis of a Crossflow Minichannel Heat Exchanger Based on Air and Liquid Flow Implementing PCM as Latent Heat Thermal Energy Storage

2023· article· en· W4381613798 on OpenAlexafffundvenue
Mahdi Momeni, Saman Jalilian, Amir Farta

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Windsor
KeywordsHeat exchangerHeat transferMaterials scienceLatent heatThermal energy storageMoving bed heat exchangerPlate fin heat exchangerThermodynamicsNuclear engineeringPlate heat exchangerEngineeringPhysics

Abstract

fetched live from OpenAlex

Due to mismatches between energy supply and demand in thermal systems, this paper introduces an innovative phase change material (PCM) heat exchanger based on two working fluids to provide thermal energy storage for the airside.The PCM is integrated into a compact single-slabbed crossflow heat exchanger based on air and liquid flow.A numerical heat transfer and fluid flow analysis is conducted based on a three-dimensional computational fluid dynamics (CFD) simulation of the model.The dynamic thermal performance of the system is demonstrated for both the PCM charging and discharging processes.Due to the results attained, the PCM can store excess heat in the charging process, which is then released to the airside during periods of demand when the system hot working fluid is unavailable.In the discharge process, the stored thermal energy provides the airside with a heating load of 118 kJ and up to 150 seconds of heating time.The findings attained in this study will shed light on the development of PCM heat exchangers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.029
GPT teacher head0.251
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2023
Admission routes3
Has abstractyes

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Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicSolar Thermal and Photovoltaic SystemsFrench-language works237,207