Title: The Impact of Microclimate on Thermal Comfort
1The Impact of Microclimate on Thermal Comfort
Mark Blaser Greg Struna
2Risman Plaza location
Kent State University Campus Map
Risman Plaza (red)
3Risman Plaza
- Designed by Richards, Bauer Moorhead,
Architects Engineers of Toledo, Ohio - Built as part of the current Kent State Student
Center and constructed in 1972 - Serves as an outdoor common area between the
Student Center and the main Library - An L shaped plaza, about 2 acres in size
- Typical building height around plaza is 40-50
feet tall, except the library tower which is
approximately 160 feet tall. - All buildings surrounding the plaza are clad in
brick and the plaza is paved in brick and
concrete with planting beds mixed in.
4Design Intent of Plaza
- The plaza is an outdoor common area on campus
which serves as a gathering place for the - university community.
5Research Questions
- Does the design of Risman Plaza create a
microclimate that affects the thermal comfort of
the space? - Does the wind velocity inside the plaza differ
from the wind outside? - How turbulent are those winds?
- What impact does the vegetation in the plaza have
on thermal comfort?
6Microclimate
- Microclimate - the climate of a small location
within an area as compared with the climate of
the entire region. - Local features such as buildings creates
variations in the microclimate which should be
considered when designing.
7Microclimate
- One of the main reasons for considering
microclimate in the design of outdoor spaces is
to create thermally comfortable spaces. - Four climatic conditions
- Temperature gt difficult to affect
- Humidity gt difficult to affect
- Wind velocity gt can be affected
- Mean Radiant Temperature gt can be affected
8Thermal Comfort
- Six factors that affect thermal comfort
- Temperature
- Wind Velocity
- Mean Radiant Temperature
- Humidity
- Clothing Insulation Factor
- Metabolic Heat Rate
9To create a space that affects the microclimatic
conditions in a way that improves thermal comfort
is the goal of an outdoor gathering space.
This can be accomplished by using the buildings
to create a microclimate that brings sunlight and
blocks the wind in winter and reduces the amount
of sunlight and brings in a gentle wind in the
summer. (Brown, DeKay, 2001)
10Hypothesis
-
- Increased wind velocity in early spring
reduces thermal comfort in Risman Plaza.
11Method Process
- Data Analyzed
- Wind Gust
- Wind Velocity (Average of 1 min.)
- Solar Radiation (Mean Radiant Temperature)
- Dry Bulb Temperature
- Humidity
- Surveys
- Silver Meadows Weather Station Data
12Data Tools
- Kestrel 4000 Pocket Weather Tracker
-
- Measures
- Dry Bulb Temperature
- Humidity
- Wind Gust
- Wind Velocity
-
13Data Tools
- Globe Thermometer
- Measures
- Mean Radiant Temperature
- Construction
- RadioShack Indoor/Outdoor
- Digital Thermometer.
- Ping Pong Ball
- Spray Painted Matte Black and attached to
outdoor sensor.
14Data Collection
- Data Collection Days
- Three consistent times
- 900A.M. 100P.M. 500P.M
- Data Set 1 (Winter Conditions)
- Date range 03/03/05 03-14-05
- Data Set 2 (Spring Conditions)
- Date range 04/06/05 04-15-05
15Data Location Points (17)
16(No Transcript)
17Prevailing Wind Direction
18Predominant Wind Direction
19AVERAGE
20900 4/09/05
211200 4/09/05
22500 4/09/05
23Surveys
- 10 Questions
- First questions set subjects into a demographic.
- ASHRAE seven point thermal comfort scale.
- Last question is to determine which factors are
affecting the subjects thermal comfort. - Wind, Temperature, Solar radiation, Humidity
ASHRAE Thermal Sensation Scale
24Survey Results
- Data Set 1 - Winter (23 total)
- (3/10/05) 1200P.M.
- 9 surveys collected
- Average Mean Vote -2.2 (Cool)
- Largest Factor Out of 9 subject who ranked
which factors were affecting their comfort the
most - 6 (67) ranked wind velocity the greatest
factor - 3 (33) ranked temperature the greatest factor
- In all 9 surveys wind speed and temperature were
first or second ranked - Atmospheric Science Thermal Comfort Calculator
- Predicted Mean Vote based on measurements
- -2.4 (Cool)
- Predicted Percentage Dissatisfied 92.0
-
25Survey Results
- Data Set 2 Spring (20 total)
- (4/9/05) 1200P.M.
- 20 surveys collected
- Average Mean Vote -1.2 (Slightly Cool)
- Largest Factor Out of 14 subject who chose to
rank which factors were affecting their comfort
the most - 12 (85) ranked wind velocity the greatest
factor - Atmospheric Science Thermal Comfort Calculator
- Predicted Mean Vote based on measurements
- -1.4 (Slightly Cool)
- Predicted Percentage Dissatisfied 44.5
-
26Winter Comfort
27Spring Comfort
28Buildings and Wind
29Solution
30REFERENCES
- Brown, Robert Gillespie, Terry J. (1995)
Microclimatic Landscape Design Creating Thermal
Comfort and Energy Efficiency. Wiley Sons,Inc
New York - Chang, Cheng-Hsin Meroney, Robert N. (2003)
Concentration and flow distributions in urban
street canyons wind tunnel and computational
data. Journal of Wind Engineering Industrial
Aerodynamics, vol. 91. 9. 1141 - Compagnon, R. (2004) Solar and daylight
availability in the urban fabric. Energy
Buildings, vol. 36. 4. 321. - de la Flor, Francisco Sánchez DomÃnguez,
Servando Alvarez. Modelling microclimate in
urban environments and assessing its influence on
the performance of surrounding buildings. Energy
Buildings, v. 36 issue 5, 2004, p. 403.
- Dimoudi, Argiro Nikolopoulou, Marialena. (2003)
Vegetation in the urban environment
microclimatic analysis and benefits. Energy
Buildings, vol. 35. 1. 69. - Emery, Richard. (1988) Microclimate and the
performance of buildings. Landscape design, vol.
174. 70. - Goode, David. (1997) The nature of cities.
Landscape design, 263. 14-16. - Kim, Jae-Jin Baik, Jong-Jin. (2004) A numerical
study of the effects of ambient wind direction on
flow and dispersion in urban street canyons using
the RNG kx03B5 turbulence model. Atmospheric
Environment, vol. 38. 19. 3039.
31REFERENCES
- Longley, I.D., et al. (2004) Short-term
measurements of airflow and turbulence in two
street canyons in Manchester. Atmospheric
Environment, vol. 38. 1. 69. - Nikolopoulou, Marialena Baker, Nick. (2001)
THERMAL COMFORT IN OUTDOOR URBAN SPACES
UNDERSTANDING THE HUMAN PARAMETER. Solar Energy,
vol. 70. 3. 227. - Olgyay, V. (1963). Design with Climate
Bioclimatic approach to architectural
regionalism. Princeton Princeton University
Press - Picot, X. (2004) Thermal comfort in urban spaces
impact of vegetation growth - Case study Piazza della Scienza, Milan,
Italy. Energy Buildings, vol. 36. 4. 329.
- Sharag Eldin, Adil. (2001) Analysis of Thermal
Comfort Requirements of the Elderly in
Environmentally Controlled Conditions. AMS - Wei-wu, Wang Li-zhong, Zhu Ren-chao, Wang.
(2004) An analysis on spatial variation of urban
human thermal comfort in Hangzhou, China.
Journal of Environmental Sciences, vol. 1. 2.
332. - Yannas, Simos. (2001) TOWARD MORE SUSTAINABLE
CITIES. Solar Energy, vol. 70 issue 3, , p. 281. - Zacharias, John Stathopoulos, Ted Wu, Hanqing.
(2001) Microclimate and Downtown Open Space
Activity. Environment Behavior, vol. 33. 2.
296.
32Hypothesis
-
- Increased wind velocity in early spring
reduces thermal comfort in Risman Plaza.