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Record W2943269631 · doi:10.1002/er.4477

Numerical study on photovoltaic/thermal systems with extended surfaces

2019· article· en· W2943269631 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.

Bibliographic record

VenueInternational Journal of Energy Research · 2019
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsOntario College of Art and DesignCarleton University
Fundersnot available
KeywordsPhotovoltaic systemComputational fluid dynamicsThermalEnvironmental scienceParametric statisticsSolverRoot mean squareFluentMechanicsMeteorologyNuclear engineeringEngineeringComputer scienceMathematicsElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

The current study presents a novel and straightforward approach for simulating photovoltaic/thermal (PV/T) systems using the commercial computational fluid dynamics (CFD) solver ANSYS-FLUENT. Instead of resolving the natural convection within the air gap between the PV and the glass cover, the effective thermal conductivity approach is implemented. Moreover, the solar radiation incident on the PV layer is directly included in the energy equation of the PV domain to evaluate the resultant power output and heat generation. The validity of these implications is proven by comparing predicted data with experimental data from the literature. Comparative results reveal a root-mean-square error of 7% and 2% for the PV temperature and the outlet air temperature, respectively. A comprehensive numerical analysis is also conducted for a PV/T system with and without finned surfaces. In the parametric study, the impacts of varying a number of design parameters, operating conditions, and weather data over a wide range are assessed. Results reveal that channel height and air velocity have the greatest impact on the overall efficiency and outlet air temperature of a PV/T system. An optimization study is also conducted using the response surface methodology to obtain optimal values of design parameters and operating conditions for this system. The highest overall efficiencies and outlet air temperatures are achieved in PV/T systems comprising narrow channel geometries, regardless of the operating conditions or weather data considered. Optimal conditions are achieved for a collector with a collector length of 1.5 m, a channel height of 1 cm, and an air velocity of 2.3 m/s. For the optimal design, overall efficiency and outlet temperature values are evaluated as 53.4% and 310.9 K, respectively. Sensitivity analyses also observe the impact of adding fins to the air channel, and it is concluded that the addition of fins improves the overall efficiency of the PV/T system by up to 19%. However, adding fins does not significantly affect the outlet air temperature; nor does it improve the overall efficiency of the PV/T system beyond a critical channel height.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.344
Teacher spread0.296 · 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