Blue-Green Dream Project

02/07/2014

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Blue Green Dream © 2012. All rights reserved.

EC project on Integration of Natural Water Retention Measures in river basin management

The 2nd Danube Region Workshop, 23-24 June 2014Bucharest, Romania

Part II Blue-Green innovations in future cities’ spatial planning

Prof. Dr. Čedo Maksimović. Imperial College London [email protected]


•

What we present

What is BGDInnovative paradigmFrom individual Ecosystem service to quantified interactions for better planningDemo projects Our (brave) partners and initial casesInvitation for collaboration

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To BGD or not to BGD, that is not the question now

BGD deliverables customised to meet the needsof the future innovative spatial planning and design of new cities and retrofitting of the existing ones.


Thematic areas

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Adaptation Mitigation

Production

Life styles, livelihoods, cities

Land and water

engineering for

adaptation

GHG MonitoringClimate services

Bioeconomy

Industrial

symbiosis

Transforming buildings

Sustainable city

systems

- we are

connectors

- we priviledge

systemic

innovation

Blue Green Dream project at

the connexion of 4 platforms

BGD meeting London 17/10/2012

Making

transitions happen

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IMPACTS OF CLIMATE CHANGE

BG

D

BG

D

… AND MITIGATION


Urban creep, (London is loosing the equivalent of 2.5 Hyde Parks of green

space area/annum), poor drainage, floods and droughts, tidal surges,

pollution of water bodies, urban heat islands, energy inefficient systems,

poor ecosystems, human health issues.

ISSUES

Climate Changes are likely to increase frequency andmagnitude of weather extremes.

New Orleans, Seoul, Beijing, Fukushima, New York, ...

Who is next? How long will London be “lucky” to avoid major catastrophe ?

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Urbanization leads to a very high increase of energy use. An 1 % increase in the per capita GNP leads to anequal (1.03), increase in energy consumption. However, an increase of the urban population by 1 % increasesthe energy consumption by 2.2 %, i.e., the rate of change in energy use is twice the rate of change inurbanization.Comparison of the energy consumption per capita for the inner and outer parts of selected cities shows thatthe consumption in the inner part is considerably higher. Inner London presents to 30 % higher energyconsumption per capita than the outer part of the city.

Cooling Load : 26 C

6.5

6.5 6.5

8.1

9.6

4

11.

2

11.

12. 14.2

7.3

8.0

Courtesy Prof. Asimakopoulos

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23o

C

Some issues tackled by

Blue Greening

Flooding Droughts Air pollution

Heat island

Noise levels dB(A)

< 40.0

40.0 <= < 42.0

42.0 <= < 44.0

44.0 <= < 46.046.0 <= < 48.0

48.0 <= < 50.0

50.0 <= < 52.0

52.0 <= < 54.054.0 <= < 56.0

56.0 <= < 58.0

58.0 <= < 60.0

60.0 <=

Signs and symbolsRoad axis

Emission line

Surface

Main building

Area

Area source

Point source

Length Scale 1:1000000 50 100 200 300 400

m

Noise

CrimeUrban agriculture

Water pollution

+ Energy efficiency of buildings

Healthy cities


Core countries & Demo sites

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European regional centres

SC-NS

NEE

EMMEWMMACSEE

CORE


SC-NS

NEE

EMME

WMMA

CSEE

CORE

Regions for Phase 3

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The Broadening of Urban Water

Systems Design

WSUD: Water Sensitive Urban Design [CIRIA, 2013]

Tackling the Integrated solutions for adaptation ofban

ecosystem services for CC

Optimal solution for adaptation of urban spaces to CC based on BG interaction with urban

ecosystem services

WSUD BGD

BG: Blue Green [Maksimovic, 2013]

Expansion of SuDS concept

Expansion of SuDS concept

Water Sensitive

City

Water Cycle

CityWater Supply

CityWater Ways

City

Drained

City

Sewered

City

Diverse, fit-for

purpose sources &

conservation

promoting

protection

Diverse, fit-for

purpose sources &

conservation

promoting

protection

Intergenerational

equity resilience

to climate change

Intergenerational

equity resilience

to climate change

Limits on

natural

resources

Limits on

natural

resources

Social amenity,

environmental

protection

Social amenity,

environmental

protection

Flood

protection

Flood

protection

Public health

protection

Public health

protection

Water supply

access &

security

Water supply

access &

security

Adaptive, multi-

functional

infrastructure&

urban design

reinforcing water

sensitive

behaviours

Adaptive, multi-

functional

infrastructure&

urban design

reinforcing water

sensitive

behaviours

Point & diffuse

source

pollution

management

Point & diffuse

source

pollution

management

Drainage,

channelization

Drainage,

channelization

Separate

sewerage

schemas

Separate

sewerage

schemas

Supply

hydraulics

Supply

hydraulics

Socio-Political Drivers

Service Delivery Functions

SU

DS


Sh..t pie Home » Research shows that billions of dollars could be hiding in wastewater streams

WaterTech e-News Daily™ / Municipal

Research shows that billions of dollars could be hiding in wastewater streamsJUNE 17, 2014No Comments

BOSTON — With rising commodity prices, Lux Research has found that recovery of resources from wastewater streams is becoming increasingly feasible, especially oil,

precious metals and industrial fats, oils and greases (FOG), according to a press release.Over the past decade, crude oil prices have risen nearly three-fold, while the value of precious metals has soared over 250 percent, making recovery of these commodities attractive.Growing demand for biodiesel amid a restricted supply of feedstocks drives recovery of

industrial FOG. However, current economics don't favor lithium and phosphate recovery, noted the release."Many current wastewater streams contain resources worth billions of dollars of lost product and lost opportunity," said Tess Murray, research associate and author of the report titled, "Recovering Valuable Resources from Wastewater.""As the value of resources rises, recovery technologies are beginning to make sense for even parts-per-million traces of materials such as precious metals and oil," she added

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REDUCED PLUVIAL FLOOD RISK

SC-NS

NEE

EMME

WMMA

CSEE

CORE


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Blue Green Wave at ENPC, Paris


23o

C


Blue Greening


Heat island

Noise levels dB(A)

< 40.0

40.0 <= < 42.0

42.0 <= < 44.0

44.0 <= < 46.046.0 <= < 48.0

48.0 <= < 50.0

50.0 <= < 52.0

52.0 <= < 54.054.0 <= < 56.0

56.0 <= < 58.0

58.0 <= < 60.0

60.0 <=


Emission line

Surface

Main building

Area

Area source

Point source

Length Scale 1:1000000 50 100 200 300 400

m

Noise


Water pollution


Healthy cities

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ENCHANCEMENT OF BIODIVERSITY

SC-NS

NEE

EMME

WMMA

CSEE

CORE

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INCREASED AMENITY AND URBAN HEALTH

SC-NS

NEE

EMME

WMMA

CSEE

CORE


Urban agriculture products –

Aqua culture - hydroponic

Courtesy of Prof. Ranka Junge-Berberovic

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Storm water / wastewater / solid waste recovery

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Interactions of urban ecosystem services


UK PhDs

CLIMATE KIC PhD RESEARCH => BGD INTEGRATED MODELLING SYSTEM

WATER BALANCE

NUTRIENTS & POLLUTION

MIGRATION

NUTRIENTS & POLLUTION

MIGRATION

MICROCLIMATE &

HEAT ISLANDS

MICROCLIMATE &

HEAT ISLANDS

BGD FOR

ENERGY EFFICIENCY

BGD FOR

ENERGY EFFICIENCY

PLANTS

FOR BG SOLUTIONS

PLANTS

FOR BG SOLUTIONS

BGD & ECOSYSTEM

SERVICES

BGD & ECOSYSTEM

SERVICES

FRENCH PhDs

GERMAN PhDs

DUTCH PhDs

BG

D IN

TE

GR

AT

ED

MO

DE

LL

ING

SY

ST

EM

S

AIR AND NOISE POLLUTION

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Scenario 0 Scenario 1 Scenario 2

PhD Methodology

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Resulting benefits:• Lower construction &building running cost• Lower occupants running costs• Better quality indoor and outdoor environment • Higher market value of properties • Better living environment quality

Conventional design-not all interactions addressed-(red zones – additional costs or lower quality)


Efficient computation of the CP and Tucker decompositions, whereby tensor

decompositions are computed in parallel for sampled blocks, these are then merged to

obtain the global components A, B, C and a core tensor.

Courtesy of Prof Danilo Mandic

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Scenario 0 Scenario 1 Scenario 2

PhD Methodology


The basic PLS model performs joint sequential low-rank approximation of thematrix of predictors X and the matrix of responses Y, so as to share (up to thescaling ambiguity) the latent components — columns of the score matrices T andU. The matrices P and Q are the loading matrices for predictors and responses,and E and F are the corresponding residual matrices.

Courtesy of Prof Danilo Mandic

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URABN PANNING

Master planning Urban Design Outline Planning

Application

Detailed Planning Landscape Design

TECHNICAL ENGINEERING

Design StrategyConcept

design

Detailed Design

INTEGRATED APPROACH TO URBAN DESIGN

TECHNICAL ENGINEERIGN

Planning Methodology Change

Master planning Urban Design Outline Planning

Application

Detailed Planning Landscape Design

Introduction Research objectives Methodology Future Plan


Blue Green Wave at ENPC, Paris

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Tempelhof Airport - Berlin


Tempelhof Airport - Berlin

Courtesy of Dr. Heiko Sieker

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New demo – Gardens by the Bay

Courtesy of Grant Associates


1

Comments on wind utilizationHOLLAND PLAIN

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Blue Green Dream © 2012. All rights reserved. Plans to convert Imperial College campus into BG test bed / demo site

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Our (brave) partners and initial full scale cases

OMA _ Rem KoolhassAndrew Grant Associates

Herreros Arquitectos _ Juan HerrerosNjiric + Arhitekti _ Hrvoje Njiric

EnPlus _ Ranko Bozovic


Reduce building energy load with adequate design of threes

Courtesy of Mr Ranko Bozovic, EnPlua

s

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PHASE_5: Calm

NO2 distribution at 1m height above ground

CFD SIMULATION RESULTS


PHASE_5: Calm

NO2 distribution at 6.5m height above ground

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PHASE_5: Calm

NO2 distribution at 14.5m height above ground


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23o

C


Blue Greening


Heat island

Noise levels dB(A)

< 40.0

40.0 <= < 42.0

42.0 <= < 44.0

44.0 <= < 46.046.0 <= < 48.0

48.0 <= < 50.0

50.0 <= < 52.0

52.0 <= < 54.054.0 <= < 56.0

56.0 <= < 58.0

58.0 <= < 60.0

60.0 <=


Emission line

Surface

Main building

Area

Area source

Point source

Length Scale 1:1000000 50 100 200 300 400

m

Noise


Water pollution


Healthy cities


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... BGD ... NEW ERA IN HUMAN CIVILISATION DEVELOPMENTEVOLUTION


Contact details

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Blue-Green Dream Project