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Record W4323363135 · doi:10.3390/en16052504

Thermal Environment and Animal Comfort of Aviary Prototypes with Photovoltaic Solar Panel on the Roof

2023· article· en· W4323363135 on OpenAlexaff
Charles Paranhos Oliveira, Fernanda Campos de Sousa, Gabriel Machado Dallago, Jocássia Reis Silva, Paulo Henrique Reis Furtado Campos, Maria Clara de Carvalho Guimarães, Fernando da Costa Baêta

Bibliographic record

VenueEnergies · 2023
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsMcGill University
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversidade Federal de Viçosa
KeywordsPhotovoltaic systemRoofThermal comfortEnvironmental scienceTileHumidityThermalAutomotive engineeringEngineeringMaterials scienceStructural engineeringComposite materialMeteorologyElectrical engineering

Abstract

fetched live from OpenAlex

The areas on the roofs of animal production facilities present great potential for generating solar energy. However, the impact that the addition of new material on the roof can generate on the installation’s thermal environment is still poorly studied. Thus, this study aims to investigate the effect of the application of photovoltaic panels in the roofs of prototypes, in reduced-scale aviaries, on the thermal environment, and on the animal comfort condition inside the prototypes. For this, six prototypes of aviaries on a reduced 1:5 scale are used. They are equipped with three types of tiles (ceramic, fiber-cement, and metal), with and without a photovoltaic panel. The effect of applying the photovoltaic panel is verified by evaluating the air temperature, the surface temperature of the roofs, the temperature and humidity index (THI), the black globe humidity index (BGHI), and the radiation heat load (RHL). The results show that applying the photovoltaic panel on the roof, regardless of the type of tile, is efficient in reducing the air temperature by about 0.4 °C, the BGHI by about 0.7, and the RHL about 4 W/m2. As for THI, there is only a 4.8 reduction in fiber-cement roofs.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.212

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 head0.012
GPT teacher head0.167
Teacher spread0.155 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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