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
Q1: Environmental challenges?
Q2: How the Smart City concept will help to face these challenges ?
Q3: How to implement this concept? (Case study : SunRise project)
3 questions
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
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.
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
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
Q1: Environmental challenges?
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
Thanks to this technology,
buried infrastructures become visible When we see things, we make progress.
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
Q1: Environmental challenges?
Q2: How the Smart City concept will help to face these challenges ?
Q3: How to implement this concept?
3 questions
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
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 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
TWUL Demo siteLondon
Smart BurgosBurgos
VIPLeeuwarden
Sunrise Demo siteLille
European Smart Water demonstrator SmartWater4Europe
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
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)
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