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Hypothesis. Due to the shading system being inadequate, the south-facing glass fa
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1. Thermal Comfort of the Student Recreation and Wellness CenterKent State University Campus
By Brian Blystone
Environmental Technology III
Professor Adil Sharag-Eldin, Ph.D.
3. Research Methods HOBOs
Modeling Analysis
PMV Calculations
4. HOBO’s Objective To place one HOBO in the fitness floor area that would be affected by the glass façade and place another HOBO under the same air supply but in an area not affected by the wall.
Compare the Results
5. HOBO’s Locations
6. Control Desk (13 Days)
7. Control Desk Analysis 13 Day Average = 73.9*F
ACSM Standard for Control
Desk Areas: 72*F to 78*F
8. Fitness Floor (13 Days)
9. Fitness Floor Analysis 13 Day Average = 71.4*F
ACSM Standard for Fitness Floor
Areas: 68*F to 72*F
10. Body Responses to Dry Bulb Temperature: Temperature Body Response
78*F Activity level is falling, difficult to fall asleep or stay asleep, Good for bathing or showering
75*F When clothed feelings of fatigue, and sleepiness. Optimum temperature when unclothed
72*F Best temperature for year round with activity with light clothing
70*F Midpoint for summer comfort.
68*F Midpoint for winter comfort. Some may feel cool.
*Data from ACSM Health/Fitness Facility Standards and Guidelines.
11. Modeling Objective The objective of building the scale model on the fitness floor and the shading system was to determine if it was adequate in shading during the overheated period.
12. Overheated Period
13. Overheated Period
14. Model AnalysisMarch/September 9 a.m. 3 p.m.
Noon
15. Model AnalysisApril/August Exterior Shading Exterior and Interior
at Noon Shading at Noon
16. Model AnalysisMay/July 9 a.m. 3 p.m.
Noon
17. Model AnalysisJune 21st Noon
18. PMV Calculation’s Objective PMV stands for Predicted Mean Vote
Based on a scale from –3 to 3. -3 being the coldest and 3 being the hottest.
Using www.penman.es.mq.edu.au/~rdedear/pmv/ a PMV number is reached based on the conditions and on what most people would “like”
This was done to see if the existing and standard conditions are comfortable .
19. Standard Conditions Input Parameters
Environmental Parameters Personal Parameters
Ambient temperature (°C) 21.1 Subject weight (kg) 80
Radiant temperature (°C) 21.1 Subject surface area (m2) 1.8
Barometric pressure (hPa) 1013 Clothing insulation (clo) 0.36
H2O vapor pressure (hPa) Metabolic rate (W m-2) 240
Relative humidity (%) 50.0 Work rate - external (W m-2) 0
Room air velocity (m s-1) 0.13 Exposure time (min) 30
Comfort Model Results
Effective Temperature (ET*) 21.11
Standard Effective Temperature (SET*) 25.09
Discomfort (DISC) 0.20 Comfortable
Thermal Sensation (TSENS) 0.01 Neutral
Predicted Mean Vote (PMV) 2.30 Warm
Predicted Percentage Dissatisfied (PPD) 88.34
Heat Stress Index (HSI) 47.47
20. Existing Conditions Input Parameters
Environmental Parameters Personal Parameters
Ambient temperature (°C) 21.8 Subject weight (kg) 80
Radiant temperature (°C) 21.8 Subject surface area (m2) 1.8
Barometric pressure (hPa) 1013 Clothing insulation (clo) 0.36
H2O vapor pressure (hPa) 6.7 Metabolic rate (W m-2) 240
Relative humidity (%) 25.6 Work rate - external (W m-2) 0
Room air velocity (m s-1) 0.13 Exposure time (min) 30
Comfort Model Results
Effective Temperature (ET*) 20.47
Standard Effective Temperature (SET*) 24.63
Discomfort (DISC) 0.18 Comfortable
Thermal Sensation (TSENS) 0.01 Neutral
Predicted Mean Vote (PMV) 2.34 Warm
Predicted Percentage Dissatisfied (PPD) 89.42
Heat Stress Index (HSI) 43.12
21. Thermal Comfort Chart
22. Conclusions The dry bulb temperatures of the fitness floor are well within the standards set by ACSM.
The shading system is designed very well for shading the overheated period.
PMV values have shown that conditions are adequate.
Therefore, if there is a problem with the thermal comfort of the fitness floor area of the SRWC, it is not because of direct heat gain.