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Record W2291102076 · doi:10.1016/j.egypro.2015.11.354

Modelling and Simulation of BIPV/T in EnergyPlus and TRNSYS

2015· article· en· W2291102076 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnergy Procedia · 2015
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTRNSYSBuilding-integrated photovoltaicsBuilding energy simulationSoftwareSoftware packageSimulationSkyEngineeringComputer scienceThermalEfficient energy useEnergy performanceOperating systemPhotovoltaic systemMeteorologyPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

A BIPV/T model, called BIPVTSYSTEM, was developed and implemented into EnergyPlus, a building energy simulation software that currently lacks BIPV/T modelling capabilities. The EnergyPlus model was based on the same equations of TRNSYS Type 567 but with a few modifications in regards to its thermal-fluidic relations. This new EnergyPlus object will assist users using EnergyPlus in large scale community modelling that will employ both façade and roof integrated BIPV/T systems. EnergyPlus's BIPVTSYSTEM and a modified version of TRNSYS Type 567 were both used to conduct a yearlong simulation of a BIPV/T system. The factors contributing to the discrepancies of the results between the two models were attributed to the different weather data interpolation methodologies, sky temperature computations, and electrical models employed by both software.

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.

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 score0.294
Threshold uncertainty score0.287

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 head0.017
GPT teacher head0.198
Teacher spread0.181 · 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