The Effect of Facades on Outdoor Microclimate

The Effect of Facades on Outdoor
Microclimate
Jonathan Fox PhD Candidate Faculty of Built Environment UNSW Australia
ACCARNSI Early Career Researcher Forum Canberra 15-17 February 2016
Acknowledgments
Research funding provided by CRC for Low Carbon Living under
Program 2 – Low Carbon Precincts, Research Project RP2005 – Urban Micro Climates: Comparative study of major contributors to the Urban Heat Island
effect in three Australian cities: Sydney, Melbourne, Adelaide Relationship to RP2005 Institutions
Research Context –
2050: 66% 6.3 billion 2014: 54% 3.9 billion United Na*ons, Department of Economic and Social Affairs (UNDESA), Popula*on Division (2014). World Urbaniza-on Prospects: The 2014 Revision, Highlights Research Context –
2887
heatwave deaths in
Australian cities 1890 - 2013
89% 93%
5 million
2050: 66% 6.3 billion 2014: 54% 3.9 billion current and projected 2050 Australian
urban population. Projected Sydney
population in April 2016
0.5m 1.9m
18% 19%
current and projected 2055 Australian
population over 85yo; projected % over
65yo and % 65yo living in cities
Quan*fying the impact of climate change on extreme heat in Australia by Will Steffen (Climate Council of Australia). 2015 Research Context – Cities and Heat
o  Climate change amplifies the Urban Heat Island Effect - extreme urban heat
o  At
+1-­‐12oC street
scaleair temperatures
vary
due
toand urban
(Nocturnal temperature difference between urban rural areas – different rates of nighNme cooling) structure and materials
o  Urban density (taller, more compact) typically correlated with higher urban heating
o  Paucity of applications for decision-makers to mitigate and adapt to urban heating
hOp://www.epa.gov/hea*sland/resources/pdf/1_Welcome-­‐Introduc*on_Victoria_Ludwig_US_EPA.pdf Voogt 2015 ASI Scales of Urban Climate
o  urban canopy layer (UCL) = atmospheric zone below mean roof level o  microscale (<102m) exchange processes generate unique “microclimates” o  influenced by its surface properties and structure of its surroundings
2050: 66% 6.3 billion 2014: 54% 3.9 billion AWer Oke 1997, from Voogt 2015 ASI Physical Basis for Urban Effects
o  Cities modify “surface properties” - structure, cover, fabric, metabolism
o  Surface properties govern fundamental energy exchanges o  Occur at multiple spatial and temporal scales
Source: Voogt J, How Researchers Measure Urban Heat Islands -­‐ US EPA The Physics – Surface Energy Balance
2050: 66% 6.3 billion 2014: 54% 3.9 billion AWer Oke 1987, from Voogt 2015 ASI From Grimmond and Christen 2012 Q* = net all-wave radiation flux
QF = anthropogenic heat flux
QH = sensible heat flux QE = latent heat flux
QG = storage heat flux
Surface Temperature - Significance and Uncertainty
2050: 66% 6.3 billion 2014: 54% 3.9 billion from Voogt 2015 ASI
Gaps in urban heat information
o  Active VERTICAL surfaces are unobserved by conventional nadir-sensing
(e.g. satellite) remote technologies
(Voogt and Oke 2003) o  result in directional bias or
“thermal anisotropy” at local scales
o  Up to 12oC difference between
complete and nadir temperatures
o  Not truly “representa*ve” of an urban surface’s thermal state o  Microscale variability of surface temperature due to microstructures – awnings, balconies, etc. -­‐ amplify bias
Voogt and Oke 1997 Significance of Ver*cal Surfaces o  Proportion of walls relative to total 3-D surface area in contact with the
atmosphere: walls in urban core account for 46.7% of total surface area
o  Aerial fraction of the complete urban surface: active surface area is 3 x the plan
area for urban cores
(Source: Ellefsen 1990/91) Data Collection - Instrumentation
Variables
Meteorological
parameters
Thermal
Spectral
albedo
Platform
Sensors and Instruments
3 x net radiometers (Hukseflux NR01)
40mm grey-globe thermometer (Pt100/RAL7001)
3-axis ultrasonic anemometer (Gill WindMaster)
Shielded temp and RH sensor (Rotronic HC-S3)
Barometric pressure sensor (Vaisala PTB 110)
Pyrano-albedometer (Middleton Solar SK16)
2050: 66% 6.3 billion •  FLIR B335, f = 10mm, 45o (IFOV: 2.59 mrad/pixel) •  IR resolution 320 x 240 pixels (DC 2048 x 1536)
•  billion FPA uncooled microbolometer: 7.5 – 13μm
2014: 54% 3.9 •  IR accuracy: ±2°C or 2% of reading
•  IR sensitivity: 0.05°C @ +30°C • 
• 
• 
• 
• 
• 
•  Tetracam ADC multispectral camera
•  3.2 megapixel CMOS sensor 2048 x 1536 pixels
•  3 wavebands 0.52-0.90μm (Red: 0.52 - 0.60μm:
Green: 0.63 - 0.69μm; NIR 0.76 - 0.90μm)
•  f = 8mm (IFOV: 0.54 mrad/pixel) Sydney Case Study Areas – Canyon Structure
•  Sydney Latitude 33°51’ S Longitude 151°12’ E 4.76 million people in June 2013 •  Spatially “representative” urban and suburban canyons in metropolitan Sydney Aspect Ratio H/W
Sky View Factor
Ultimo
H:17.5 W:21 ABS Nearmap 17 November 2015 C1 H/W:0.8
Zetland
H:24.5 W:18 C2 H/W:1.3
LCZ 2 Compact Midrise
Axis Orientation
LCZ 4 Open highrsie
LCZ
Data Processing and Analysis – Thermal Model
visible
multisp
Georeferenced base plan . shp file
ectral 2050: 66% 6.3 billion thermal
2014: 54% 3.9 billion Workflow
Methods
•  Orthomosaic
Photogrammetry
•  Georeferencing
ArcGIS (ArcMap)
•  Cell-based
analysis
•  Raster Analysis
Spatial Analyst Tool
Spatial Modeling and
linear regression
Data Processing and Analysis – Comfort Model
2050: 66% 6.3 billion 2014: 54% 3.9 billion Air temp
Ground surface
temperature 29.32oC av
Wall surface
temperature 28oC av
Ground albedo
0.136 av
19 Nov 2015
9:45-10:05am
KENSINGTON, NSW,-­‐33:54:16, -­‐151:12:50 10am -­‐ AZI:63o 10am -­‐ ALT:63o Data Processing and Analysis – Comfort Model
23 Archibald Ave, Zetland
76 Carlton St, Kensington
1 Regent St, Chippendale
Building
Sensor
Orientation and H/W
ToC and GGT: 5m Max, Min, Ave
ENE
0.85
T
Wall surface
temperature 28oC av
Ground albedo
0.136 av
NNE
0.6
27.8 24.1 26.2
GGT 30.9 26.1 29.9
2014: 54% 3.9 billion Ground surface
temperature 29.32oC av
2050: 66% 6.3 billion 19 Nov 2015
9:45-10:05am
KENSINGTON, NSW,-­‐33:54:16, -­‐151:12:50 10am -­‐ AZI:63o 10am -­‐ ALT:63o 10:35am – 12:30pm; 1.01.2016
T
26.8 24.3 25.6
GGT 27.4 24.4 26.0
2pm – 3:35pm; 1.01.2016
NNE
0.53
T
29.7 28.9 29.2
GGT 31.6 30.0 30.6
1:40pm – 3:05pm; 11.01.2016
The Effect of Facades on Outdoor
Microclimate
Thank you!
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