1.
Smart City Expo
Intelligent Cities : a smart way to
address climate change and more!
Bruno Berthon
Global Managing Director
Accenture Sustainability Services Group

2.
Cities have to simultaneously achieve ambitious environmental
targets and create/ maintain a competitive urban ecosystem
Environmental Targets Competitiveness Urbanization
100
98
96
94
92
90
19901991199219931994199519961997199819992000200120022003200420052006200720082009
However cities face numerous difficulties in trying to deliver on these ambitious
environmental targets
Moving Policy Targets Infrastructure Challenges Financial Constraints
1997 2008 2009 2050
Kyoto EU Copenhagen 80-95%
Protocol 20-20-20 UN Climate
Change
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3.
Cities‟ officials have a key motivation to go „smarter‟ as
attractiveness is at the heart of their city‟s competitiveness
Innovative approaches in mobility, energy, buildings and waste
- +
Low High
Beijing “Fast Adopters”
“Cities at risk”
High
+
Suzhou Shanghai
Attractiveness Imperative *
Houston
Mumbai
“Large emitters” Singapore
Sydney
“Lab cities”
Sao Paolo LEGEND
Mexico City Chicago Tokyo Cities Segments
London Seoul
Paris Amsterdam Mature
Expanding
“Legacy cities” Hyper Growth
“Pioneers”
Population forecasted
-
Low
growth 2005-2020
*Attractiveness Imperative i.e. the Imperative to change to remain attractive relates to cities existing situation in terms of mobility (inexistent/ageing
transport infrastructure, congestion level…) and of energy/buildings/waste (level of emissions, share of renewable energy, “smart buildings…)
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4.
Cities need to integrate public and private players‟ initiatives
and contributions. The challenge goes far beyond technology
or energy.
To develop attractiveness... Progress is ongoing in many cities… However hampered by:
Towards Operational Efficiency 1. Inefficient governance:
Real time road pricing Ineffective regulatory pressures
More efficient public transport Low on Chief Executive and/ or City
Smart grid pilots Leaders‟ agendas
Smart buildings Lack of incentives for energy
providers
Driving Behavioural Change Complexity of the network of
stakeholders involved
Our Vision of an Intelligent City
Environmentally friendly
Encourage efficient energy use/
smart meters
Reducing water/ waste 2. Fragmentation of projects
consumption Fragmented value chain
Reducing commuting/ car Untested scalability of solutions
dependence Lack of access to capital
Lack of internal capacity and
Leveraging ICT bandwidth
Effective Services to citizens
Tele-presence, metering
City services platform
“An attractive economic and social environment in which citizens,
Efficient Mobility companies and government sustainably live, work and interact”
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5.
The components of an Intelligent City need to be managed
within an integrated framework leveraging open information
platforms
• A so-called “Intelligent Infrastructure‟ enables the conditions for a common, modular approach
that reduces the time and cost of piloting new initiatives
• The use of ICT solutions, operational effectiveness and large-scale behavioral change are the
key drivers.
The Intelligent City Framework
Mobility City Services
• Prioritize electrified mass • Attractiveness of city
transit options to reduce environment requires quality
congestion education, effective health
• Leverage electric vehicles care and public safety,
Public Admin. and recharge networks productive public
Mobility & services administration
• Facilitate human transport
Construction Heath &
& Buildings Safety
Construction & Buildings Energy/Water supply
• Intelligent power, light and & Waste Mgt
climate control systems • Decentralized and Clean
• Micro generation and solar Energy
Energy & Culture & heating • Smart Grids for integration of
Water supply Education
• Combine new restrictive renewable energy sources
norms and intensive • Energy efficiency
Waste Mgt
refurbishing
• Waste management
• Smart Meters for demand
management
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6.
Cities must pilot multiple projects, testing citizens‟ acceptance
and exploring practical and financial scalability of open
approaches
Cities are already keen to experiment Open Data initiatives and leverage crowd
sourcing to generate and identify the best of breed urban applications
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7.
The key in open approaches is pragmatism, experimentation
and collaboration, scalability and replicability
This facilitated the scaling outside of Paris city within a de facto decentralized
environment
Opening Paris mass transit credential data was instrumental in the uptake of the bicycle sharing
scheme Velib‟ within Paris city
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8.
Open information platforms foster a holistic Intelligent City approach
Illustration: leveraging open data to prioritize public subsidies for building renovation
in a US megacity
A new kind of energy analytics, can be This kind of open data approach lowers
achieved by correlating data from the cost of public policy for building
different social, fiscal, geographical and renovation by better targeting energy
energy metering sources efficiency subsidies
Gas Electricity
2010 Census Block Data 2010 Electricity
• Ethnicity • Monthly kWh by account
• Median Income • Account address
• Average household • Account SIC code
size • Outage data
• % college graduates • Account meter type (smart or
• % households >65 electromechanical)
years old
• % owner occupied
Gas Use Intensity Electricity Use Intensity
(kBtu per ft2) (kBtu per ft2)
Building 2010 Natural Gas Low
Average
Low
• Monthly therms by
Average
County Assessor Building Energy High
High
Data Analytics account
• Address and Property Database • Account address
Identification Number
(PIN) for all residential,
commercial, industrial
and municipal buildings
• Square footage City GIS
• Other building • City elements (including streets,
characteristics (age, rivers, railroads, etc.)
occupancy, • Building ID, shape files and PIN
construction type, # of • Ward, community area,
stories, central A/C, neighborhood, census block, TIF
property value, etc.) District shape files
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9.
Opening and coordinating planning data between urban planners, energy grid
and data network planners will accelerate the transformation and enhance the
sustainability of Intelligent Cities
In Fukushima, a sustainable urbanism : resilient to tsunamis, and where technologies
are integrated to better balance the production and usage of renewable energies
Components of City OS
Town Hall University Hospital Solar
Post Office Plant Fishing village
Car Sharing IT Company
First Layer 人工高台
Urban Factory
Development 駅 Farming village
Cogeneration
Residential island Smart Energy Traffic Recycle Education Medical Government
215m building /Water /Waste
/House
Second Layer
Common and
Standardized Common ICT Function
177m ICT Inf rastructure
Visualization System linkage
Third Layer
Public
Inf rastructure
（
Utility/Gas/Water） Control self-repairing
Height
20m
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10.
About Accenture Sustainability Services
Accenture Sustainability Services helps organizations achieve substantial improvement in performance
and value for their stakeholders by leveraging their assets and capabilities to drive innovation and
profitable growth while striving for a positive economic, environmental and social impact. We see
sustainability both as a commercial opportunity and an extension of our stewardship role in supporting
global business and societies. We work with clients across industries and geographies to integrate
sustainability approaches into their business strategies, operating models and critical processes. Our
holistic approach encompasses strategy, design and execution to increase revenue, reduce cost,
manage risk and enhance brand, reputation and intangible assets. We also help clients develop deep
insights on sustainability issues based on our ongoing investments in research, including recent studies
on consumer expectations and global executive opinion on corporate sustainability and climate change.
Learn more at
www.accenture.com/sustainability
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