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The Impact of Microclimate on Thermal Comfort

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Title: The Impact of Microclimate on Thermal Comfort


1
The Impact of Microclimate on Thermal Comfort
  • Risman Plaza
  • Kent, Ohio

Mark Blaser Greg Struna
2
Risman Plaza location

Kent State University Campus Map
Risman Plaza (red)
3
Risman 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.


4
Design Intent of Plaza
  • The plaza is an outdoor common area on campus
    which serves as a gathering place for the
  • university community.

5
Research 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?


6
Microclimate
  • 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.

7
Microclimate
  • 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

8
Thermal Comfort
  • Six factors that affect thermal comfort
  • Temperature
  • Wind Velocity
  • Mean Radiant Temperature
  • Humidity
  • Clothing Insulation Factor
  • Metabolic Heat Rate

9
To 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)
10
Hypothesis
  • Increased wind velocity in early spring
    reduces thermal comfort in Risman Plaza.


11
Method 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


12
Data Tools
  • Kestrel 4000 Pocket Weather Tracker
  • Measures
  • Dry Bulb Temperature
  • Humidity
  • Wind Gust
  • Wind Velocity


13
Data 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.


14
Data 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

15
Data Location Points (17)
16
(No Transcript)
17
Prevailing Wind Direction
18
Predominant Wind Direction
19
AVERAGE
20
900 4/09/05
21
1200 4/09/05
22
500 4/09/05
23
Surveys
  • 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
24
Survey 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

25
Survey 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

26
Winter Comfort
27
Spring Comfort
28
Buildings and Wind

29
Solution

30
REFERENCES
  • 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 Domínguez,
    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.

31
REFERENCES
  • 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.

32
Hypothesis
  • Increased wind velocity in early spring
    reduces thermal comfort in Risman Plaza.

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