ASUS Adapting sustainable urban planning to local climate change in - - PowerPoint PPT Presentation

ASUS

Adapting sustainable urban planning to local climate change in Egyptian new towns (case study New Aswan)

Presentor: Matthias Straka contact: matthias.straka@fu-berlin.de Team: Nada Al Amir, Felix Müller, Karim Gayed PI: Prof. Dr. Sahar Sodoudi contact: sodoudi@zedat.fu-berlin.de

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Introduction to ASUS

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Main focus: Improving the human thermal comfort with the help

• f sustainable urban planning in New Aswan, Egypt

ASWAN: Hot arid desert climate (Köppen BWh)

• Analysis of local climate change (COSMO-CLM)
• Analysis of meteorological variables for the campus of

New Aswan University (case study) and all of New Aswan (ENVI-met, MUKLIMO_3)

• Scenarios for adaptation and mitigation to local climate

change will be designed and evaluated

• Options for decreasing the energy demand of buildings

will be considered (DesignBuilder)

source: wikipedia source: google

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COSMO-CLM simulations

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COSMO-CLM

• Regional climate model
• Developed by CLM-Community (Germany)
• Spatial resolution: 1-50km (here: 12.5km)

Results are well within the range of the IPCC Fifth Assessment Report AR5 in 2014

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Extreme Indices

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SU35/40

• > Day where Tmax > 35°C / 40°C

TR25/30

• > Night where Tmin > 25°C / 30°C

Warm Spell

• > At least 6 consecutive days where Tmax > 90th percentile

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DesignBuilder simulations (set up)

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DesignBuilder

• Single building scale
• Developed by DesignBuilder

Software Ltd (England)

• EnergyPlus simulations for energy

consumption (e.g. cooling energy)

source: google

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DesignBuilder simulations (first results)

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Cooling setpoint temperature: 24°C Masterplan for the campus of the New Aswan University

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ENVI-met simulations (set up)

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ENVI-met

• Resolution: 0.5-10m (here: 2m)
• Microscale model for calculation of human thermal

comfort indices (e.g. PET)

• Developed by Prof. Dr. Michael Bruse (Germany)

Physiologically Equivalent Temperature

PET [°C] combines T, RH, wind and solar radiation to form a thermal index which is comparable to indoor conditions. A PET of 20°C indicates that the outdoor thermal conditions feel like a room with 20°C would feel. First test-scenario: 100% green roof & loamy soil (contains more water) in

• ne area

Base case

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ENVI-met simulations (first results)

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Temperature [1.1m] at 11 am Green roof - Base case PET [1.1m] at 11 am Green roof - Base case

• Green roofs bring cooling of about 1K at 11 am
• The PET can be reduced by nearly 2.5K close to the buildings

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MUKLIMO_3 simulations (set up)

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Mikroskaliges Urbanes KLIma MOdell in 3 Dimensionen

• Resolution: 50-200m (here: 100m)
• Developed by the DWD (German Weather Service)
• Simulates meteorological variables (e.g. 2m-temperature) on the basis of landuse data, elevation and

meteorological conditions (temperature, relative humidity, wind speed/direction, cloud cover) on a diurnal scale

~ 11 km ~ 9 km

source: google

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MUKLIMO_3 simulations (first results)

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New Aswan

Simulation date: 05.07.2017 Tmax = 46.4°C Tmean = 33.1°C Tmin = 19.2 °C

Assumed Scenario:

All buildings have 50% of roof covered by vegetation (base: 0%). All surfaces (roofs, walls, pavement) have an albedo of 0.5 (base: 0.3)

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• Create scenarios to improve the micro climate in New Aswan

(case study: campus of the New Aswan University)

• Investigate the effect of scenarios on energy consumption

(case study: campus of the New Aswan University)

• Implement the scenarios to all of New Aswan
• Investigate the master plan for New Aswan

(keyword: big park in the southeast)

• Contact with stakeholders in New Aswan through partners at Aswan University
• Create guidelines for other Egyptian new towns in similar climates
• > Possible next project: Research towns in other climates

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Outlook

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Thank you for your attention!

Presentor: Matthias Straka contact: matthias.straka@fu-berlin.de A special thanks to the Ernst-Reuter-Gesellschaft for the travel fundings.

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