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Record W2327902922 · doi:10.1016/j.egypro.2015.11.374

A Study of a BIPV/T Collector Prototype for Building Façade Applications

2015· article· en· W2327902922 on OpenAlexaff
Edvinas Bigaila, Efstratios Dimitrios Rounis, Peter Luk, Andreas Athienitis

Bibliographic record

VenueEnergy Procedia · 2015
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsBuilding-integrated photovoltaicsPhotovoltaic systemBuilding envelopeThermalPhotovoltaic thermal hybrid solar collectorSolar simulatorPhotovoltaic mounting systemEngineeringElectricityArchitectural engineeringAutomotive engineeringEnvironmental scienceMechanical engineeringElectrical engineeringMeteorologyPhysics

Abstract

fetched live from OpenAlex

BIPV/T collectors incorporated into building envelopes can be used to replace conventional building materials in roofs, skylights or façades. A new design of BIPV/T solar air collector prototype for façade retrofit with emphasis on simplifying the integration into the building envelope was developed. Experimental results show, that this new design BIPV/T solar air collector reaches a comparable thermal efficiency with the one of unglazed thermal collectors (UTC) with additional photovoltaic electricity generation, leading to 10-15% higher combined efficiency. Custom thermal and fluid network numerical models were created to analyze their performance. Models were validated at the Concordia University Solar Simulator Lab. This paper presents the work done on testing, modeling and performance evaluation using 5-plot system for open loop photovoltaic/thermal solar air collectors.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.052
GPT teacher head0.289
Teacher spread0.237 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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