Managing Air for Green Inner CitiesUK Engineering and Physical Sciences

Research Council

Grand Challenge: Future Cities: engineering approaches that

restore the balance between engineered and natural systems

MAGIC

The ‘zero-zero’ goal

Cities with no air pollution and no heat-island by 2050

Use natural ventilation to cool buildings

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The ‘zero-zero’ goal

Cities with no air pollution and no heat-island by 2050

5 year, £4.1M programme, 2016-202130 Post-doctoral person years

Air quality and temperature are measurable and universal,providing clear metrics and proxies for urban ‘quality’; they areeconomically and socially important: health costs in theUK £10-20B p.a.

Results, capabilities (including code) will be made freelyavailable

What MAGIC will deliver

A completely new tool for urban planners and regulatory authorities based on a unified system MAGIC– for long term planning, operational management, emergency

response– new generation computational modeling, adaptive

observation technologies, integrated cost benefit model

• System that harmonises the built and natural environment, providing estimates– for health, social & carbon costs, impacts of climate change

• Integrated user and research community with the capacity to continue after the end of the grant: MAGIC Circle

Time and spatial resolution

Large domain, local detailEmergency response

Daily lives Planning

minutes - days hours - months years - decades

Initial PDRA appointments2-year tenure

• Cambridge: – Building ventilation (DAMTP/CUED): Megan Davies Wykes– Building energy performance (DAMTP/Arch): Jiyun Song– Sensor deployment (Chemistry): Shiwei Fan– ATHAM Fluidity (Geography): James O’Neill

• Imperial:– Fluidity development: Fangxin Fang– Data assimilation and sensor optimisation: David Fairburn– Building modelling (ICL/CAM): Laetitia Mottet– Reduced order modelling: Dunhui Xiao– Street canyon and exposure modelling: Huw Woodward

• Surrey: – Wind tunnel and numerical modelling: William Lin

System components

Management and decision support system

ATHAM - Fluidity Reduced order models

Economics - Cost-benefit model

Technical data Wind tunnel and salt bath experiments Socio-economic data

Integral models

Physics

London South Bank University

Sensor network

Fluidity model

The way forward• Aim to produce a beta version of the whole system by middle of

2018• To include– Fluidity model (ICL) supported by building ventilation studies (CAM) and

wind tunnel models (Surrey)– Validated against field measurements at one test site– Fast running models (reduced order and integral)– Cost-benefit model

• Work on deficient/additional aspects in second half of the project• Cost-benefit model• Decision support system

MAGIC Partners2016-2021