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Advances towards Smart Cities Ina Schieferdecker 19 May 2011, Bangalore, India
Advances towards Smart Cities
Ina Schieferdecker
19 May 2011, Bangalore, India
Outline
My Backgroundy g Smart Cities Vision, Definition and Challenges Smart Grids, Smart Homes and Smart Meters
Outline
My Backgroundy g Smart Cities Vision, Definition and Challenges Smart Grids, Smart Homes and Smart Meters
My Backgroundy g
Research and Development on– Model-based engineering and quality assurance of software-based systems– For
Telecommunication Automotive eHealth Smart cities
FOKUS stands forFOKUS stands for
IP Telephony: FOKUS invented SIPp y
Web2.x and Web/Telco Convergence
Model-Driven Engineering
IPTV & Rich Media
Future Internet & Autonomic Communication
Car-2-X Communication
eGovernment: One-stop-shopping
Open source provider: BerliOS –Second largest OSS CenterSecond largest OSS-Center
Test automation: Invention of TTCN-3
IMS: Next Generation Network Platforms &S iServices
Outline
My Backgroundy g Smart Cities Vision, Definition and Challenges Smart Grids, Smart Homes and Smart Meters
World Urbanization Prospects, the 2009 RevisionpUnited Nations, Department of Economic and Social Affairs, Population Division
Urban and rural population by development regions (in mill.)
Urban Agglomerations in 2009 (proportion urban of the world: 50.1%)
Total population by city size class (in millions) Distribution of the world urban and rural population by major areaTotal population by city size class (in millions) y j
Smart Cities GoalsOptimization of Urban Ressources
Access to urban ressources (incl.
Energy Mobility
Access to urban ressources (incl. information and human ressources) iskey for quality of life and work in a city
I f t t f d Infrastructures for access, usage anddisposal are ressource-intensive in deployment, maintenance and repair
Integrated, automated and optimizeduse of ressources and infrastructures
– enable new services of a city– increase attractiveness of the city– while costs are reduced and
climate footprint is optimized
Communication Safety
Characteristics of a Smart Cityy
R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler-Milanovic and E. Meijers, Smart Cities – Ranking of European Medium-Sized Cities, Research Report, Vienna University of Technology Vienna Austria 2007University of Technology, Vienna, Austria, 2007
Selected Initiatives for Smart Cities
US: Intelligent Community Forum 2004 EU: European Smart Cities Ranking 2007 EU: European Smart Cities Ranking 2007 UK, US, EU: Open Data Networks 2008 US: IBMs Smarter Planet strategy December 2008 EU: Action Plan for Internet of Things June 2009 EU: Action Plan for Internet of Things June 2009 China: Concept of Sensing China August 2009 Japan: i-Japan strategy August 2009 Germany: Smart Cities Recommendation for Action January 2011 Germany: Smart Cities Recommendation for Action January 2011 EU: Net!Works Smart Cities White Paper June 2011
Our Smart Cities Vision
City as service provider forcitizens, enterprises, institutions,
Always Best InformedInformation at any request, at any place, at any device at any time at any preference, p , ,
and tourists
City as self-sustaining andInformed
any device, at any time, at any preference
sustainable ecological urban environment
Informed City
– for an increased urban quality of life and cityattractivenessby networked and integrated
ConnectedCity
MobileCity Smart
City– by networked and integratedurban ressources
– providing intelligent controlfor urban infrastructures
City
for urban infrastructuresGreenCity
Safe
City
ChallengeIntegration and Harmonization of Different Innovation Cycles
Harmonization of Harmonization of Innovation Cycles:
Buildings
Infrastructure
AutomotiveICT Vehicles
Software-Applications
Farcade TechnologiesInsulation of Buildings
Intelligent Building Technologies
nnov
atio
n
ICT
g
StreetsConstruction of Buildings
Removal Infrastructures
Pac
e of
I
Urban Infrastructures
0 10 20 30 40 50 100Time Horizon in Years
Removal Infrastructures
e o o ea s
Technology Advances towards Smart Citiesgy
Internet of
Interconnected
Internet of Things
Internet of InterconnectedMedia
Internet of Services
Cyber PhysicalSystems Open Data
Smart City
Ultra-Large Scale Systems
Future InternetCity
ICT in Smart CitiesB kb f S t Citi
City as a system of systems
Backbone for Smart Cities
Integrated systemsSet of single
systems
Effectivity and efficiency results fromoptimized integration of single systems
Analyse d
Measure, A t
vvand
DecideAggregate and Filter
Data
• acatech Position Paper: Smart
Optimize
Health
• acatech Position Paper: „Smart Cities“, Jan. 2011.
• Münchener Kreis Smart Cities Conference in Berlin, July 2010
acatechRecommendation for Action for Smart Cities
Recommendations– Creation of organisational framework conditions and networking of decision-
making processes are prerequisites for establishing smart technologies on the local market
– Germany being a leading provider depends on internationally recognised norms and technology standards
– Pilot projects and reference cities are indispensable both for local demand and export of smart technologiesexport of smart technologies
– Research promotion and completion provide incentives for building Smart Cities solutions
Key technologies Key technologies– Broadband as area-crossing basic technology– Smart distribution grids
State of the art sensor networks– State-of-the-art sensor networks– City data clouds– System integration technologies
Exertise for ICT for Smart Cities
Service platforms
Politics and Administration
Living
Web 2.x Service mashups Online communities
Security and Safety
Administration
Communication Broadband communication Mobile communication
Software engineering Security and safety engineering
Mobility
Internet technologies
Sensor networksM hi t M hi
Open data Open source
Mobility HealthEducationEnergy
Machine-to-MachineCommunication
Smart metering Traffic simulation Car2X communication Navigation support
Culture
Transport and Traffic
g pp
Our View on ICT for Smart Cities
City application platform foradvanced apps by city
City Applications
advanced apps by citystakeholders and communities
City data cloud of secured, distributed, and interconnectedd t f d i f ti Ian
ticra
tion
City Data Clouds Acc
ess
erin
g
data for managed informationaccess
Sensor networks of real andvirtual sensors for data fusion
FMashUp RichMedia Communities
bilit
ySe
ma
Inte
gr
City Data Clouds
eam
less
A
Eng
ineeand actuators for resource
control Efficient engineering (design,
development and maintenance)
CloudComputing SOA LT
E
OpenData
Inte
rope
ra
City Networked Infrastructures Sedevelopment and maintenance)
of validated secure, robust andreliable systems
Seamless access to raw, aggregated and consumer data
IMS
Sensor M2M Car2XMD
Eaggregated and consumer dataand meta-data by fixed andmobile services
Open Data as an Enabler for Smart Citiesp
European PSI directive in 2003: opening up government data to the public Sunlight Foundation, US: ten principles of open data
Public data shall be considered open if they arePublic data shall be considered open if they are made public in a way that complies with the principles below:
1. Complete2. Primary 3. Timely 4. Accessible 5. Machine processable6 N di i i t
CityDataClouds
6. Non-discriminatory 7. Non-proprietary 8. License-free
Compliance must be reviewableData in the conventional view on the knowledge hierarchy (CSC: Unchartered Water, The State of Open Data in Europe, Jan. 2011, adapted from Tuomi; I (1999) “Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organizational memory” Journal of Management
Compliance must be reviewable.
http://wiki.opengovdata.org/index.php?title=OpenDataPrinciples
management and organizational memory , Journal of Management Information Systems, 16, 3, 107-121. )
• Berlin Open Data Agenda, May 2011
Classification of Smart Cities Open Data p
I. Schieferdecker et al: Pilot Study on Public Data in Berlin, May-Sept. 2010.I. Schieferdecker et al: Pilot Study on Public Data in Berlin, May Sept. 2010.
Our Scenarios on ICT for Smart Cities
Cit Data Clo dsCity Data Clouds
Smart Homes
Waste Management
Dynamic On-Demand Communication Dynamic On-Demand Communication
Smart Parking Spaces
Protection of Critical Infrastructures
Personalized Content-Based ServicesPersonalized Content Based Services
Future Internet PPP Project OUTSMARTOpportunities for Urban Services Markets in Future InternetOpportunities for Urban Services Markets in Future Internet
Sustainability of resources by establishing a Future Internet enabled eco-system, supporting the creation of innovative services and applications with
l l t E d iti i f l t real value to European economy and citizens in four example areas: waste management
Outcomes: Detailed requirements, domain-specific enablers, prototypes of domain-specific functionality and a business framework .
wastemanagement Business innovation
Future Internetexperts
Domain expertsStakeholders
OUTSMARTCities
FIcore
domain specific applications and services
FI core platformcontribution
Clusterleaders
Commercial Services
Citizens Utilities
Domain specific requirements
Technology transfer
Transversalpartners
GroupOUTSMART Approach• Capillary network solutions• Sensor-based service management• Sensor-based service provisioning
City Data Cloud in BerlinU b d P bli D t f N B i S iUrban and Public Data for New Business Scenarios
Citizens / Institutions / Entprises User
• Poll Berlin-Brandenburgm
atio
n
Applications and
PublicApps
on M
essa
ges
raffi
c R
outs
ace
Con
trol
nfor
mat
ion
ion
CommercialApps
Poll Berlin Brandenburg Interest in Public and Open Data, Oct. 2010
A 4B li C i i
c E
vent
s In
form
Applications andServices
Mal
func
tio
Mul
timod
al T
Par
king
Spa
Pol
lutio
n In
arke
t Inf
orm
atData-as-a-Service(Daas)
• Apps4Berlin Competition, Nov. 2010
• Open Government Data
Pub
lic
Data and Service Platform of the City Data Cloud
MPublic Data
Private Data
Commercial Data
Open Government Data Study for Deutsche Telekom AG onT-City Friedrichshafen, Dec. 2010Sensoric Data 2010
• Cebit Demonstration withIBM, Mar 2011.
Public data as public property -> Open DataData as raw material of information society > Commercial Data
InfrastructureSmart Communication PlatformIBM, Mar 2011.
Data as raw material of information society -> Commercial Data
EU Open Cities Projectp jOpen Innovation for Future Internet-enabled Services in Smart Cities
The project explores open innovation in the public sector with five main objectives: The project explores open innovation in the public sector with five main objectives:
• Open innovation in the public sector.• Management of technological platformsManagement of technological platforms
for open innovation• Pan-European platforms for crowdsourcing,
open data, and open sensor networks.• Urban labs to test solutions in real-life
city spaces
Leveraging existing tools, trials and platforms in crowdsourcing, open data, fiber to the home, and open sensor networks in five major European cities, namely, Amsterdam, B l B li H l i ki d P iBarcelona, Berlin, Helsinki, and Paris.
Project runs from November 2010 to April 2012.
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Outline
My Backgroundy g Smart Cities Vision, Definition and Challenges Smart Grids, Smart Homes and Smart Meters
ChallengegInteraction between generation and consumption
From demand driven generation EnergyFrom demand driven generation
consumption generation
Energy
OilCoalGasGas
Nuclear…
To generation driven consumption
EnergyEnergy
WindSun
Water generation consumptionbuffersiffWater
Bio…
generation consumptiontariffs
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Integrated Energy ManagementIntegrated Energy Management
Combination of
- Internet-Informationen(e.g. weather forecase)
Load forecasts (statistics)- Load forecasts (statistics)
- Consumer information(e.g. usage)
- Producer information (e.g. tariff)
Energy optimization on network level by integration of individual consumers intodecentralized energy management (Quelle: Bitkom)
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Smart Grid – Smart Home – Smart MeteringgThe last meter to the customer
Smart Meter fuel cell
heatingsolar energy
gas meter Smart Home/ Home Gateway
Smart Grid
water meter
gSmart Building
ZigBee enabledpower plug
energy provider
Gateway
wind energywater meter
Smart Grid – Smart Home – Smart MeteringgEnabler for Ambient Assisted Living (AAL) Services
Ambient Assisted Living (AAL)
Smart Energy(AAL)
Smart Grid
Home Care
Safety, Security
& Smart Home/
Smart Metering
& Privacy
Mobility
Smart Home/Smart Building
smart metering
remote access
smart buildinghome gateway
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digitalSTROMgIT + Energy
European initiative led by ETH Zurichp y Founded in 2007 in Zurich as a non-profit
organisation (digitalstrom.org), FOKUS is member since 2009
Core technology based on next generation power line communication (PLC)
Complete software stack as open source project( no more LON EIB KNX X10 )( no more LON, EIB, KNX, X10,……)
System on a chip with ultra high voltage (230V AC) ASIC no power supply required!
Designed to be build into every electronic device Designed to be build into every electronic device Energy use: 0.3W (common stand-by: 3…5W!) Simple color codings for different device groups
yellow: light grey: shadow blue: climate )yellow: light, grey: shadow, blue: climate,……) Quantities planned to be available Q4/2010
digitalSTROMgTest and Demo Set-up @ FOKUS
InternetInternetfixed/wireles
sdS server
(embedded)Sensor
networks802.15.4/Zig
Bee
bulb
RS485, max. 500
Bee
dimmer
bulb
ds meter
500m
power plug on-off switch
230V230V
230V
Remote monitoring of energy consumption / remote switching of electronic devices Flexible home network installation&configuration via graphical user interface on dS server
Information by Sensors
Comprehensive sensing and intelligent intelligence
Smart homes and wireless sensor networks
applications– Main applications are based on machine-to-
machine communicationWi l t k k l t
information knowledge
– Wireless sensor networks are key elementsin smart home environments
Integration of security and comfort functionsUsing smart metering components
decisions– Using smart metering components– Enabling ambient assisted living scenarios
Sensors and actuators are interconnected via mature mobile communication technologies (e g
IntrusionDetection
actionsmature mobile communication technologies (e.g. IP, WiFi, PowerLAN) and integrated via accesspoints/routers
Remote access via home gateways Router
MotionDetector
g y
Water
HeatingSensor/Valve
Motion
HomeGateway
SensorDetector Router
ExampleCurrent measurement by wireless outlet
Measurement of consumed power
Current measurement by wireless outlet
p Consumer-dependent control by use of
Web services and rules Based on Atmel Z-Link radio platform
and Sensor IC of Analog Devices Transmission via IEEE802.15.4 and
forward into IP network by specialt
230V
router L N
Power Supply
5V 3,3V
PE
Lowpassfilter
Voltagedivider
Lowpassfilter
ADE7753
ATMega1281InputCurrent sensing
InputVoltage sensing ATRF230
SPI
Shunt
Profiles and ForecastsLong term logger and individual profilesLong term logger and individual profiles
300
350
CookingCookingh
Logging usage data long-term in databases
Visualisation on smart phones or Web- 150
200
250
Lights
Cooker
WatchingTVListeningMusic
based frontends Individual profiles of energy
consumption can be derivedO ti l ti f d i b
0
50
100Media Center
Sum
Lights On
Lights On
Optimal time of device usage can bederived
Remote control can be enabled
Not only the Future Energy Networks will be intelligent!y gy gAnd huge. And use ICT.
>>10‘000‘000‘000>>10 000 000 000electronic devices in Europe
9’500’000’000 of them are not networkedStand by wastage of 6’000’000’000 € in EuropeStand-by wastage of 6 000 000 000 € in Europe
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C t tContacts
Prof. Dr.-Ing. Ina SchieferdeckerH d f C t C tHead of Competence CenterModelling and Testing for Systems and Service Solutions
Fraunhofer Institute for Open Communication SystemsKaiserin-Augusta-Allee 31 | 10589 Berlin | Germany
Phone + 49 30 – 3463 – 7241Mobile + 49 175 – 260 30 [email protected]
