Smart Cities

Business in built environment

Smart city, Oulu, 6.5.2015

Miimu Airaksinen

Research professor

VTT Technical Research Centre of Finland

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Cities transformation

Given urbanisation trends, on-going transformations towards increasingly knowledge-intensive economies as well as their growing share of resource consumption and emissions, cities are becoming even more of a focal point for our economies and societies at large.

To meet public policy objectives under these circumstances, cities need to change but in times of tight budgets this change needs to be achieved in a smart way: cities need to transform themselves into 'smart cities'.

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Making sense of innovations in smart cities

Technology

Intelligent Urban Ecosystems

Environment

So

cie

ty E

conom

y

Smart Governance

Smart People

Seamless Services

Value-driven Business

Natural Environment

Built Environment

Communication

Coexistence

Collaboration

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A city has many systems and sub systems which are interlinked and interconnected A change in one place will affect on the whole system →System dynamic model for a city

Population

District

Attractiveness

Available services

and jobs

Available dwellings

- -

Buildings

construction

++

Demolition

Buildings age

-

+

+

Births Deaths

+

+

+

-

+

+-

Travelled distance-

-+

- +/-

-

Congestion

+

-

-

-

Roads

construction

+

-- +

Energy use

Material useEnvironmental

impactsCityPlan

Weight factors

Material recovery

strategies

Local energy

production

Public transport

policies

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Our energy system is changing

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19/05/2015 7 Lähde: Airaksinen, Vuolle 2012

Also our demand side is changing: Space heating demand in decreasing much more compared to peak power demand

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Future energy networks

• Central and decentralized energy production

• Integration of local and global solutions

• Buildings and mobility system are active part of energy network

• Energy network management

• Energy storages and smart energy networks

• Changing value chains

European Technology Platform Smartgrid 2006

http://www.vttresearch.com/impact/new-innovations-are-here/innovation-programmes/intelligent-energy-grids

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VTT Innovation program Ingrid Smart energy networks – research integration

VTT Apros integrating many sub tools

Multi objective modelling

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Case city development

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Case city development

Peak power

demand is

important and

can be

affected by

smart energy

integration and

control

systems

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Forecasting and self-learning systems VTT innovation program INGRID

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Understanding user preferences

• Human thermal model to estimate better thermal comfort and to crease demand based control of temperatures

• Human behavior patters to forecast building energy demand

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By integration of sensors

and wireless connectivity

to lamps Enhancing lighting with new functionalities and low cost connectivity

VTT program pro-IoT http://www.vtt.fi/research/spearhead_iot.jsp?lang=en

Productivity leap with IoT http://www.vtt.fi/inf/pdf/visions/2013/V3.pdf

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Crowdsourcing

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• Travellers, vehicles, transport networks and goods – always connected, always located

– Best possible information of the situation now and in the near future

– Optimization, handling and preventing the incidents

• “Best” itinerary for every trip

– real-time, updating itself on the go

– all modes (public, private, walking/biking, ride-sharing) included

• Traveler and vehicles are not only receiving information, but also collecting and transferring it

• Public Private Partnership – “one counter for the user”

Vehicle-to-vehicle communications

Vehicle-to-infrastructure communications

Smart transportation in the cities

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Enriching data to information and supporting decision making Data from different sources creating new business and services opportunities

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Data from different sources creating new business and services opportunities

A platform for interconnected services

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City platform

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Progress monitoring and visualisations Smart City Key Performance Indicators

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Heavy rain, flooding, security and safety

Local warning system: SmartAlarm

3b. Kaupunkitason tilannekuva, tulva-

ennusteet ja toimintaohjeet.

3a. Kiinteistötason tilannekuva, tulva-

ennuste, hälytykset, toimintaohjeet

2. Flooding prediction by simulations

(10 min, 20 min, 30 min, 1 h, jne.)

1. Rain measurements

(mittaukset, tutkasade-ennusteet)

Ei vaaraa

Tulva-

hälytys

Mahdollinen

tulvatilanne

Tulvaennuste

(10 min, jne)

Asema-

piirros

Kerroskuvat

Tulva-

hälytys

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19/05/2015 30 http://www.vtt.fi/inf/pdf/researchhighlights/2015/R12.pdf

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