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Record W2059370703 · doi:10.1016/j.procs.2013.06.091

Modeling, Simulation and Control of Flat Panel Solar Collectors with Thermal Storage for Heating and Cooling Applications

2013· article· en· W2059370703 on OpenAlexafffundabout
Faezeh Mosallat, Tarek Y. ElMekkawy, Daniel Lepp Friesen, Tom Molinski, Shaun Loney, Eric Bibeau

Bibliographic record

VenueProcedia Computer Science · 2013
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsManitoba HydroUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaManitoba Hydro
KeywordsBoiler (water heating)Thermal energy storageHeating systemThermalComputer scienceEnvironmental scienceStorage tankTransient (computer programming)Nuclear engineeringSolar air conditioningProcess engineeringSolar energyMechanical engineeringMeteorologyWaste managementElectrical engineeringEngineeringThermodynamics

Abstract

fetched live from OpenAlex

The focus of the present study is on the transient modeling of components in a solar system, controls, and heating and cooling loads. The system consists of solar flat plates and a thermal storage tank, which could provide a portion of heating requirements of a social enterprise building located in Winnipeg, Manitoba, Canada. This solar system and a natural gas hot water heater may replace the low efficiency boiler that supplies low quality steam for heat throughout the building using radiators. Results of the simulation performed in Simulink supports the proper selection of solar system components and controls that will be optimized for the climatic attributes of Winnipeg.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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 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

Citations21
Published2013
Admission routes3
Has abstractyes

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