Smart city Shahrour AUST Beirut april 2015 sh

Smart City for developing countries: Utopia or a real opportunity? Professor Isam Shahrour, University Lille1 – Science and Technology AUST Seminar “Smart City”, Beirut, April, 28

Q1 : What are the main challenges of developing countries ? Q2 : What is the smart city concept ? Q3 : Why this concept should be implemented in developing countries ? Q4: How to implement the smart city concept ? (Case study : SunRise project)

Urban Developing countries

Urban – Developed countries

Rural Developing countries

Challenge of the populaDon growth

By 2030 : •  Nearly 2 billion of new urban residents •  Urban populaHons of South Asia and Africa

will double •  400,000 km2 will be constructed for urban

use (doubling the world’s built urban area)

ConcentraDon in mega-‐ciDes

World map of mega-‐ciDes in 2030

Challenge of the Energy

By 2035 (InternaDonal Energy Agency -‐ IEA): •  One billion without access to the electricity •  2.7 billion without access to clean cooking fuels

TransportaDon : The largest world challenge

Air polluDon •  7 million premature deaths annually linked

to air polluHon (WHO)

•  80 % of the greenhouse emission •  Global warming – climate change

•  1 billion do not have access to drinking water service •  2.4 billion do not have access to sewage water service •  Leakage : 50% water lost in some ciHes •  Water contaminaHon •  Flood …

Water Chalenges

Social challenges : •  Access to services (administraHve, educaHon,

health, transport,…) •  Security (supply, operaHng,..) •  CiHzen implicaHon in the city development

and gouvernance

Economic challenges : •  Job opportunity •  Running cost savings •  Industrial and services compeHHveness

Q1 : What are the main challenges of developing countries ? Q2 : What is the smart city concept ? Q3 : Why this concept should be implemented in developing countries ? Q4 How to implement the smart city concept ? (Case study : SunRise project)

Digital RevoluDon •  Social network •  Mobile •  Internet of things

Could operate: •  Measurement (state) •  Data storage (?) •  Analysis (intelligence / knowledge) •  CommunicaHon with other “Things”

Each “Thing”

•  Unique idenDfier •  Localized

The Internet of Things

Smart Sensors and actuators

Smart Technology Smart governance

Health, EducaHon Art, Culture

BIG DATA digital, images, movies, audios

More data

Smart city technology allows •  Real-‐Hme monitoring (Urban systems as well

•  Rapid acHon in the case of abnormal event (security, leakage, contaminaHon,....)

•  OpHmal management

•  Stakeholders implicaHon •  New services

Smart Grid – NEMA Report (2011) Associa=on of electrical and medical imaging equipment manufacturers (US)

Electrical Grid Network (SunRise Project, PhD D. Sakr)

A2

M6

HT: 20 kV LT: 380 V Supply

FAULT!!

A2

Smart Energy : opDmal management

ProducDon

Storage Smart Grid

Energy ConsumpDon

Smart City market by 2020 : $408 billion

www.forbes.com, June 2014


Different scales of implementaDon

City Campus

Focus on CiDzens, Users,

Environment

In a smart soluDon, we

Technology Social Science CollecDve intelligence

Improve Life quality Security

Environment

opDmized cost

OpportuniHes in developing countries

We have to build or to update the infrastructures (urban networks, transportaHon, buildings,..

The cost of smart monitoring is low regarding the infrastructure cost.

The smart “design” reduces the cost of construcDon

Global vision of the cost: Life cycle cosHng

Design

ConstrucDon

OperaDng cost

Maintenance

Impact on the environment

Recycling

Stakeholders •  Users, technical staff

•  AdministraHve staff

•  Improves the asset management •  Reduces the running and maintenance costs

The smart technology

Savings in the construcDon and running costs largely funds the smart system

Other opportuniDes for developing countries

•  High mobile penetraHon •  High use of the social media •  Good skills in informaHon technology •  Job opportunity..

Barriers to the smart city implementaDon

•  Cultural (policy makers, administraHon, private sector, individual…)

•  OrganizaHon (in silos) •  RegulaHons •  Economic model

How to start ??

We can start by « demonstrators in order to learn how to : -‐  Design, build and use the smart technology -‐  Establish cooperaHon between services and

stakeholders (work together)

-‐  Update the regulaHon -‐  Establish an economic model -‐  Educate to live in a “smart world”

July 18, 2014

•  100 Smart City projects •  Government investment (2015): $ 1.2 billion

India :

China :

$322 billion

August 13, 2014 : 200 Smart City projects

Africa 2014

CombinaHon of : •  Rapid urbanizaHon •  Increasing demand for urban services •  Telecoms growth

Africa : Huge perspecHve for the implementaHon of the Smart City


Smart City How did we start ?

Large academic project « City of the Future) ?

2010 -‐ 2011

CiDes Metropolis Social Housing Eco-‐District

Energy (Elecrical, Gaz, District heaDng)

Water (Drinking, Sewage)

ConstrucDon companies

TelecommunicaDon

IT SoluDon Engineering

Research

EducaDon

InnovaDon

Combine 3 issues: •  City •  Sustainability •  Digital

Smart and Sustainable

Smart Grid implementaDon ?

Large ExperimentaDon (Demonstrator)

ScienDfic Campus

Small town: •  25 000 users •  140 Buildings (320 000 m2 )

ConstrucDon Year

44

C1 – Chimie (1966) Polytech’Lille (2000)

IUT (2006)

100 km of Urban Networks

•  Drinking Water •  Sewage •  District HeaDng •  Gas •  Electrical ( HV, LV) •  Public light •  Roads

InnovaDon operators •  Pole Ubiquitaire •  CITC –EURARFID •  PRN

Local government •  AMGVF (Large

CiHes associaHon) •  Lille Metropolis •  Region •  ArtoisComm

InternaDonal: •  W-‐Smart (Int. Ass. for

water Security) •  US •  Netherland, UK, Spain •  Lebanon, Morocco

Water/Energy/Buildings operators •  Dalkia •  Eaux du Nord (Suez) •  Eau de Paris •  ERDF •  Lille Métropole Habitat

Research Laboratories: •  Engineering •  InformaHon technology •  Social Science

EducaDon : •  Master programs •  PhD programs

Starts-‐ups : Stereograph, Noolioc, Inodesign, Calmwater, Planete oui, Ixsane, Projex,

Public/private/InternaDonal partners:

SunRise Community : Faculty members, PhD, Master Degree Students, engineers,

SunRise Plamorm InformaDon Sytem

Asset Data (GIS)

AnalyDcs

Wb servor communicaDon

•  Users •  Management staff •  Technical staff •  Academic Staff •  Public

CommunicaDon : •  Réseaux filaires •  Réseaux sans fils

Monitoring •  Buildings •  Water Network •  Energy network •  Others

Sensors data

Users -‐  Alert -‐  InformaHon

Users data

Open data •  Weather •  Traffic •  Emergency

Open data

•  Drinking Water •  Sewage •  District HeaDng •  Gas •  Electrical ( HV, LV) •  Public light •  Roads

Drinking water

Concerns: • Leakage • Real-‐Hme contaminaHon detecHon • Users awareness • Energy opHmizaHon

Partners : •  W-‐Smart •  Eaux du Nord (Suez Environment), Eaux de Paris, CEA-‐LIST

•  KWR, SmrtWater4Europe (Acciona, Vitens, Thames water,…)

TWUL Demo site London

Smart Caceres Caceres

VIP Leeuwarden

Sunrise Demo site Lille

ü  Project Budget: 12M€ ü  EU funding: FP7 INNO DEMO ü  Project duraDon: 4 year ü  Project Management: Vitens N.V.

ü  12 innovaDve SMEs ü  3 water uDliDes ü  3 research insDtutes ü  1 company ü  2 plamorm organizaDons

European Project SmartWater4Europe

•  16 Km de pipes

•  49 fire hydrant s

•  250 valves

•  90 ARM

•  5 pressure cells

VHF 169 MHz

Portail de restitution de données

GPRS

Data transfer

Consommation d’eau - Weekend (m3/j)

Water consumpDon (week – end)

Water quality

Real Dme detecDon of the

water contaminaDon ?

Intellisonde (UK)

Event Lab (Netherland)

S::scan (Austria )

Contaminant InjecDon

Phase 1 : Devices qualificaHon in a large scale pilot

OpDca response to chemical injecDon

1,5

2

2,5

3

3,5

4

4,5

5

5,5

6

10:33 11:02 11:31 12:00 12:28 12:57 13:26 13:55 14:24

108 UFC/ml

108 UFC/ml

107 UFC/ml 107

UFC/ml

S::can response to bacteria injecDon

Time

District heaDng

Concerns: • Data-‐based DiagnosHc • ReducHon of energy looses (primary, secondary, buildings)

• Demand-‐ based energy producHon (usage, historical data,…)

• Users awareness

SunRise Site pilote de la ville intelligente et durable

Réseau d'eau

District heaDng system

HeaDng Center

HeaDng Sub-‐StaDon

•  Temperature •  Flow •  Pressure •  ConsumpHon

RegulaHon System (Valve Controllers)

Old regulaDon system

67

Data : Building « M1 »

Heat ConsumpDon External Temperature

Heat ConsumpDon

External Temperature

Analysis showed a high potenDal of energy savings (up to 40 % in some buildings)

University Decision : Large investment in -‐  Upgrading the district heaHng network to a smart network

-‐  Co-‐generaHon staHon

Funded by : •  Energy savings •  Public – private partnership

Under Progress:

•  Public lighHng •  Sewage •  Cyber security

•  SunRise social network •  SunRise Wikipedia

SunRise today (4 years) •  Major Smart City project •  Large private-‐public partnership •  CreaHon of a start-‐up, others in perspecHve •  Several implementaHons (social housing, eco-‐

district, park of technology, town,..)

Priority in the 6-‐years regional development plan (state – region agreement) with significant public funding