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Record W6969219607 · doi:10.5281/zenodo.8396539

Investigation on Airflow Characteristics and Thermal Comfort in an Indoor Swimming Pool

2019· article· en· W6969219607 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsnot available
Fundersnot available
KeywordsAirflowThermal comfortASHRAE 90.1Computational fluid dynamicsAir conditioningTurbulenceInletFluentVentilation (architecture)

Abstract

fetched live from OpenAlex

The design of air conditioning system in an indoor swimming pool hall plays a critical role in providing the thermal comfort and hygiene environment. This research objected to studying the effect of the air curtain flows on heat and mass transfer by investigating the velocity, temperature and moisture distribution inside the hall of the swimming pool which is occupied by many spectators and swimmers. The study carried out using computational fluid dynamics (CFD) simulation using a commercial CFD package, namely ANSYS Fluent 17.2. The CFD modeling techniques solved the continuity, momentum, energy, and species transport equations in addition to k-epsilon model equations for turbulence closure. Mesh element sizes used in the present work exceeded 5.6 million mesh element which allowed better and meaningful predictions of the flow regimes. The study performed inside a semi-Olympic pool located at Bishop’s University in Sherbrooke (Quebec, Canada) by drawing the geometry of roughly trapezoidal shape and dimensions of (34.5 m×25 m×8 m) by SpaceClaim 3D modeling software for six different simulation cases. The investigation included the influence of the location and number of ventilation and air conditioning supply and extracts openings at the lowest ACH (Air Changes Per Hour) recommended by ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) and evaluated by Fanger’s model. Improving thermal comfort of the occupied area around swimming pool and spectator stand area is the primary concern of this study, therefore, to achieve the adequate conditions of thermal and airflow pattern the inlet grilles concentrated in this area with different heights and shapes. The outlet grilles in configuration 1 are at the middle of the ceiling in swimming pool area and in the side walls of the spectators stand area. Also, the inlet grilles are at the height of 3m from the floor in the side walls of the swimming pool and at the back wall of the spectator area. Configuration 2 outlet grilles are located in the ceiling at spectator stand area to investigate the effect of changing outlet position. Configuration 3 the inlet grilles are changed to be in 30cm height from the floor at swimming pool area. Configuration 4 the inlet grilles in the spectator stand area changed to the fence at 30 cm. To study the effect of shape change configuration 5 used circular inlet as recommended from ASHRAE at the ceiling, configuration 6 is studied the combination of best results from configuration 1 to configuration 5 to achieve suitable thermal comfort for the hall. The validation results show a good agreement between ANSYS Fluent 17.2 results and OpenFOAM software results. Moreover, the results of the comparisons between the 6 configurations revealed that the circular inlet in the ceiling at low-speed air supply shown better air distribution and thermal comfort in the spectators stand area than rectangle inlet. Also, the rectangle inlet in side walls in swimming pool area shows better better air distribution and thermal comfort than circular inlet at low-speed air supply due to the height of the hall, finally ACH for the water pool area and spectator stand should be different due to the number of persons per square meter

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

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)0.0010.001

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 head0.020
GPT teacher head0.197
Teacher spread0.176 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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