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Record W4385446619 · doi:10.32920/23811261.v1

Modelling and Characterization of Transparent Building Integrated PV/T Collector

2023· preprint· en· W4385446619 on OpenAlexaff
Raghad Sabah Kamel, Alan S. Fung

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTRNSYSGlazingPhotovoltaic systemThermalRoofBuilding-integrated photovoltaicsElectricityThermal energySolar energyPhotovoltaic thermal hybrid solar collectorMechanical engineeringSolar thermal collectorMaterials scienceEngineeringElectrical engineeringStructural engineeringComposite materialPhysicsThermodynamics

Abstract

fetched live from OpenAlex

<p>This paper is intended to develop a detailed thermal and electrical model of a transparent backing Building Integrated Photovoltaic/Thermal (TBIPV/T) collector integrated to the roof. This model was used to assess the energy performance of a typical transparent PVT air collector. The energy balance equations were derived for glazing glass, the PV cells, glass back surface of the PV module, air flowing in the duct of TBIPV/T collector and back insulation surface. The energy equations were solved using FORTRAN. A new TRNSYS type was created for the transparent backing PVT system. This type is intended to function with multi-zone building model in TRNSYS, that means thermal interaction between the PV/T collector and the building was taken into account. The effect of different PVT system parameters such as PV cell packing factor, panel cover optical properties on thermal energy production and electricity generation were examined and discussed.</p>

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 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 score0.464
Threshold uncertainty score0.991

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 head0.080
GPT teacher head0.263
Teacher spread0.183 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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