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”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier
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”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Jan 02, 2016

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Page 1: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

”On the sensitivity of Building Performance to the Urban Heat

Island Effect”By

Adil Rasheed, Darren Robinson, Alain Clappier

Page 2: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Overview

• Problem statement• Model Description• Case Study• Results• Conclusion• Future Work

Page 3: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Problem Statement

Weather Station Building to be simulated

Current practice Reality

Should UHI be considered while conducting building simulations ?

Urban Heat Island : Cities are warmer than its surrouding

Page 4: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Global Model

But resolution of a Global Model is of the order of a few hundred Km

Measurement data can be fed to a global model

Madrid

Page 5: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Grid for global modelsMesoscale grid

Mesoscale Model

(Resolution: few meters to Km)

Page 6: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

UHI Modelling

• Governing Equations:

Mass:

Mom:.

Energy:

Humidity:

TKE

The effects of building is included in the source terms Di

Input to the model: Boundary Conditions, Landuse and Topology data

Page 7: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Urban Parameterization

• Highlights:– City is assumed to be a

regular array of buildings with uniform spacing.

– Impact of horizontal and vertical walls (drag and shear)

– Accounts for solar radiation– Accounts for building

density, urban forms and different landuse.

– Heat conduction through walls, ceilings and ground.

Urban Grid

Mesoscale GridSource

Page 8: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Case Study: Madrid’s topology

• Location: 40º 23´N and 3º 40´W• Mountain peaks surrounding

relatively low lying plains• Province of Madrid: 8028 sq. m• Temperate Mediterranean

climate:– Cool winters: Below 273 K. – Warm summer: Above 303 K

• Mild nocturnal average temperature during the summer months due to Madrid's high altitude.Height above sea level: Varies from 400m-2000m

Page 9: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Land Distribution: % Rural

• Largest city of Spain• Third most populous city in EU• Densely urbanized city center:

100% urban area.• City surrounded by rural area.

Page 10: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

SIMULATION SET UP• Domain size: 110km by 110km by 10km (covers the entire

troposphere)• Horizontal Resolution: 2km• Vertical Resolution: 10m – 1 km .• Three simulations: Cases 1, 2 and 3.

– Case 1: Topology as that of Madrid but 100% rural– Cases 2 and 3 correspond to the actual land use, but with

different thermo-physical properties for the building surfaces.• Building Width: 15m, Street Width: 15m. • Internal temperature of the buildings: 298 K.• Urban Parameterization scheme by Martilli• Radiation model by: Schayes and Sasamori• Duration of Simulation: 18:00H 13th July to 18:00 14th July

Page 11: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

RESULTS: Temperature & Velocity profiles

18:00 00:00

06:00 13:00

City core is always hotter (Urban Heat Island)Entrainment of cooler air towards the center

Case 3

Page 12: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

RESULTS: Cooling Load

Cooling Load:

C is total building conductance (W.K-1) DDc are the cooling degree-days η Boiler Efficiency

324 10 /Q DD C

,( )

24

i j baset

T TDD

Base Temperature: 291 K

Linear relation between energy demand and cooling load.

Page 13: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

RESULTS: Normalized CDD

•Cooling load increases by a factor of 1.7•Changing the thermophysical properties of the built material can alter the cooling demand•Contours of urban area doesn’t coincide with the contours of CDD: because of wind

Case 2 Case 3

Page 14: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Conclusion• Urban Heat Island should be

considered during Building Energy Analysis

• Thermophysical and radiometric properties of the built material may play a very important role in designing an energy efficient city.

• Development of plume: Can be used for “natural scavenging” of the city

Page 15: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Future Work

• Validation of the basic assumptions in Urban Parameterization.

• Development of better Urban Canopy Model for better representation of the buildings and canopies.

• Inclusion of more sophisticated Building Modules in the Mesoscale Model.

• Finally to study the effects of changing various thermophysical and radiometric properties.

Page 16: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Acknowledgement

• The financial support received for this work from national research programme 54 of the Swiss National Science Foundation is gratefully acknowledged.

• Many thanks also to Alberto Martilli for providing the data required for the simulation.

Page 17: ”On the sensitivity of Building Performance to the Urban Heat Island Effect” By Adil Rasheed, Darren Robinson, Alain Clappier.

Thank You for your attention !!Questions [email protected]