Isam Shahrour conference at Shandong Agricultural University: Smart City for environmental challenges

Smart City and environmental challenges Professor Isam ShahrourIsam.Shahrour@univ-‐lille1.fr

Shandong agricultural University, China, December 23, 2015

Contact-‐Follow

Isam.shahrour@univ-‐lille1.frwww.isamshahrour.comhttps://www.linkedin.com/in/ishahrourhttp://fr.slideshare.net/ishahrour

Q1: Environmental challenges?

Q2: How the Smart City concept will help to face these challenges ?

Q3: How to implement the Smart City concept?

3 questions



Q3: How to implement this concept? (Case study : SunRise project)

3 questions

Environmental challenges World Summits (From Kyoto 2005 to Paris 2015)

Changement climatique

Water stress evolution

Source: Le Monde diplomatique

(% Water withdrawal of the total available water)

The City:• 70% of the total energy consumption• 80% of the greenhouse emission

Greenhouse emission is due mainly to energy consumption

Why ?

Urban Developing countries

Urban –Developed countries

RuralDeveloping countries

Concentration of the population in cities

Concentration in large cities

The City has similarities with biological systemUrban network act as cardiovascular and nervous systems

Generally, cities operate with undersized networksAs an adult with a cardio-‐vascular system of a child.

The city suffers from traffic Congestion

From high air pollutionWHO : 7 million deaths/year

From lack of basic urban services:• 1 billon do not have access to drinking water.• 2.5 billons do not have access to sewage service.

Investment need : 1.8 to 2.3 trillions /year

Transport

Electricity

Water

Telecom

Developing countries has huge needs in Infrastructures

United States (ASCE, 2013 report):Infrastructures GPA = D+

Developed countries: aging Infrastructures challenges

80% (France)

Buildings in France : high investment needs for building renovation

The situation of the city is criticalIn the coming years, it is expected to become more critical, because of the explosion of the urban population

Developed Developed

Less developed

Energy consumption will continue to increase

OECD : Organization for Economic Co-‐operation and Development

Infrastructures

Buildings

Urbanization

Management

City:

Eco-‐ friendly

Socio –friendly

Huge financial crisis

We have to transform the city to meet the environmental challenges

In a period of tough crisis, we have to be innovative

Digital technology (Smart City) ?


Q2: How the Smart City concept will help to face the environmental challenges ?

Q3: How to implement this concept? (Case study : SunRise project)

3 questions

Digital technology

Internet

Social Network

Each object :-‐ Identified-‐ Geo-‐localized-‐ Communicate-‐ Store data-‐ Analyze data

SeeAnalyzeUnderstandImprove

Real time

Digital technology in the City

Thanks to this technology,

buried infrastructures become visible When we see things, we make progress.

Health, EducationArt, Culture

More data

BIG DATAdigital, images, movies, audios

Smart city technology allows:

• Real-‐time monitoring

• Rapid action in the case of an abnormal event (security, leakage, contamination,....)• Optimal management

• Stakeholders implication• New services

Smart Energy : optimal management

Production

Storage Smart Grid

Energy Consumption



Q3: How to implement this concept?

3 questions

SunRise – Smart City:Large Scale demonstrator of the Smart City

Innovation operators • Pole Ubiquitaire• CITC –EURARFID• PRN

Local government• AMGVF (Large

Cities association)• Lille Metropolis• Region• ArtoisComm

International:• 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• Information technology • Social Science

Education :• Master programs• PhD programs

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

SunRise : Large public-‐private partnership

Smart Cityimplementation ?

Large Experimentation (Demonstrator)

Scientific CampusSmart City Demonstrator

Small town:• 25 000 users• 140 Buildings

C1 – Chimie (1966) Polytech’Lille (2000)IUT (2006)

Learning Center (2016)Bâtiment D

(Rénovation /Extension, 2019)

100 km of urban networks

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

SunRise Community :PhD, Master Degree Students, engineers,

SunRise PlatformInformation Sytem

Asset Data (GIS)

Analytics

Web server communication

• Users• Management staff• Technical staff• Academic Staff

Communication : • Réseaux filaires • Réseaux sans fils

Monitoring • Buildings• Water Network• Energy network• Others

Sensors data

Users -‐ Alert -‐ Information

Users data

Open data • Weather• Traffic • Emergency

Open data

Drinking water

Concerns: • Leakage• Real-‐time contamination detection• Users awareness

TWUL Demo siteLondon

Smart BurgosBurgos

VIPLeeuwarden

Sunrise Demo siteLille

European Smart Water demonstrator SmartWater4Europe

15 km of pipes

100 electronic Counters

reading 1h step

Pressure cell Datalogger

Electronic pressure cells

Real-‐time water quality control

Accidental contamination ?

49

Intellisonde S::can EventLab

Innovative devices for water quality control

50

Emplacement des capteurs qualité

Plan of implementation

Before the field implementation, we conducted analysis of the sensors performances for the detection of chemical and biological contaminations.

Injection

Point de mesure

52

Lab-‐Station for the analysis of the sensors performances for the detection of chemical and biological contaminations.

53

-‐0,5

0

0,5

1

1,5

2

0 20 40 60 80 100 120 140 160

Chan

gemen

t de ph

ase

Temps (minutes)

40 mg/L 30 mg/L

20 mg/L

10mg/L

5mg/L

Phase change – chemical contamination

EventLab –Optiqua

541,5

1,7

1,9

2,1

2,3

2,5

2,7

2,9

0 20 40 60 80 100 120 140 160 180 200

Turb ISO -‐[FTU

]

Temps (minutes)

S::CAN

Turbidity

Absorbency

E. Coli injection

105 UFC/mL

105 UFC/mL

108 UFC/mL

107 UFC/mL

District heating

Concerns: • Data-‐based Diagnostic • Reduction of energy looses (network, buildings)• Demand-‐ based energy production • Users awareness

SunRiseSite pilote de la ville intelligente et durable

Réseau d'eau

District heating system

Heating Center

Heating Sub-‐Station

• Temperature• Flow• Pressure• Consumption

Regulation System(Valve Controllers)

Data : Building « M1 »

Heat Consumption External Temperature

Large economy with smart control

Smart Regulation?

Real Consumption

High potential of energy savings

University strategy : Large investment for the-‐ Transformation of the district heating into a smart one-‐ Construction of co-‐generation station

Funded by :• Energy savings• Public – private partnership

Under Progress:• Public lighting• Sewage • Cyber security

• SunRise social network

Contact-‐Follow

Isam.shahrour@univ-‐lille1.frwww.isamshahrour.comhttps://www.linkedin.com/in/ishahrourhttp://fr.slideshare.net/ishahrour