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Record W2231031788 · doi:10.1016/j.egypro.2015.11.689

Experimental Evaluation and Energy Modeling of a Greenhouse Concept with Semi-transparent Photovoltaics

2015· article· en· W2231031788 on OpenAlexafffundabout
James Bambara, Andreas Athienitis

Bibliographic record

VenueEnergy Procedia · 2015
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGreenhouseRenewable energyPhotovoltaicsEnvironmental scienceSolar energyElectricity generationPhotovoltaic systemElectricityEnvironmental engineeringEngineeringPower (physics)Electrical engineering

Abstract

fetched live from OpenAlex

The use of semi-transparent photovoltaics (STPV) as a greenhouse cladding material can serve to transmit daylight while providing some shading and solar electricity generation. This paper experimentally validates an energy model of a greenhouse concept employing STPV. The model is then used to compare the energy performance of a full-scale greenhouse and a vertical farm concept, with both employing STPV. Simulation results for Montreal indicate that the vertical farm generates 49% less solar electricity and consumes up to 31% less heating than the greenhouse, whereas their cooling energy demand is approximately equal. This research evaluates promising design concepts for year-round urban agriculture and renewable energy generation.

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 score0.495
Threshold uncertainty score0.986

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 head0.043
GPT teacher head0.275
Teacher spread0.232 · 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

Citations17
Published2015
Admission routes3
Has abstractyes

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