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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