Transcript
Page 1: Future trends and market overview

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Future trends and market overview in integrated

energy and transport solutions for Smarter Cities

Ing. Libor Kozubik

Energy and Utilities Sector Leader

IBM Global Business Services

Smart Cities: Intelligent systems for energy and transportDate: 15 October 2014

Venue: Holiday Inn Brno

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The need for efficiency in buildings is clear

2nd

Real estate is

the 2nd largest

expense on

the income

statement.

50%

Up to 50% of

energy and

water in

buildings are

often wasted.

2025

By 2025,

buildings will be

the #1

consumer of

energy.

42%

Worldwide,

buildings

consume 42%

of all electricity,

more than any

other asset.

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The benefits are real…

18% rise in productivity

Employee

productivity

increased up to

18% on

average.

91%occupancy

Higher building

usage and re-

up rates in

smarter

buildings.

40%reduction

Energy usage

reduced by up

to 40% and

maintenance

cost 10-30%.

65% of occupants

Willing to help

make their

workplace more

environmentally

responsible.

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What are „Smarter Buildings“ ?

Smarter Buildings are well managed integrated physical and digital infrastructures

that provide optimal occupancy services in a reliable, cost effective, and sustainable

manner…Smarter Building

• Are more cost effective by reducing

energy and operating costs.

• Use active and designed-in

techniques to achieve efficiency and

environmental responsibility.

• Have the ability to interact with

occupants inside them as well as the

environment around them.

• Maintain a safer and more secure

workplace.

• Communicate in real-time to

supporting infrastructure ( i.e. smart

grid, broadband, etc.).

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Smarter BuildingsIntegrated and optimized physical and digital

infrastructures that are cost effective and

operationally efficient for energy, water, waste,

GHG management and can serve as micro grids

ResidentialEnergy Management - Central control and

connection of home systems - electronics and community micro grids. Appliances

that automatically adjust power usage based on grid status.

Distribution CompanyDistribution managementEnergy supply chainDistributed storage

CentralPower Plant

Advanced MetersLink with power company

Energy Exploration, Production and Generation

Coal, Oil, Gas

Nuclear, Hydroelectric

Solar, Wind, Geothermal

Solar ,Wind Farms, Hydro

Industrial plants

Cogen

Plug-in Electric Hybrid Vehicle (PEHV) Charging

Smart charging of hybrid & electric vehicles at home and at commercial

locations

Smarter Buildings integrate with „Smarter Grids“An example of how smarter buildings are a part of a Smarter City

Data / C/oud

Building complex

Electric CompanyIntelligent fault managementDistributed grid intelligence

Operations CenterDynamic system control room

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Vision within area of Intelligent Transportation Solutions

New trends

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TRAFFIC PREDICTIONDISTANCE-BASED

ROAD USER CHARGING

ROAD USAGE CHARGE

RATING ENGINE

ENHANCED OCR ENGINE -LICENSE

PLATE RECOGNITION

TRAFFIC VISUALIZATION ASSET OPTIMIZATIONTRAFFIC MANAGEMENT

AND ANALYSIS

DASHBOARDS

VIDEO ANALYTICS AND

INCIDENT DETECTION

LARGE-SCALE MULTI-

AGENT

TRAFFIC FLOW

SIMULATION

JOURNEY OPTIMIZATION

ANALYTICS

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Stockholm Congestion Tax• Reduce traffic by 10-15% on the main roads

• Increase average speeds on streets and

roads

• Reduce emissions of hazardous pollutants

and carbon dioxide

• Inhabitants should feel that the city

environment has improved

• More resources to public transport

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• City traffic is down by 18%

• CO2 emissions have been cut by between

14-18%

• Increased efficiency in the public bus

transport operation (by 60,000

passengers per day)

[ Source: IBM knowledge base ]

Public opinion changed after the pilot↑

Average number of vehicle passages over congestion tax cordon↑

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Project e-mobility EDISONIntegration of EV in the Power Grid

[ Source: IBM knowledge base ]

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IBM Burlington Vermont USA

„A SMART Enterprise”

Water Use

Fed from regional High Service

3.2 MGD[millionsgallonsperday]] (similar to the City of Burlington)

2 MGD Ultra Pure Water

Waste water treatment 3 MGD

Electrical Use

Transmission Line Fed

Own and operate Electrical Grid

(similar to a Utility)

Peak 65 Mega Watts (larger than

Burlington)

60 miles high voltage lines

136 substations

SMART Attributes

60,000 field pts

700 PLCs

75 Work stations

5 servers

Advance data analysis

Load management

Cost Control

Quality

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SMART Electrical Grid - Energy Management Results

IBM Burlington Vermont

Quality: Conform to SEMI F47 Standard and strive for zero

impact due to Power Quality Issues to Manufacturing Process

Reliability: Zero manufacturing down time / Continuous

Operations

Cost: Sustained 4% reduction per year

Overall $10M saved

Fuel Usage

Rates: +30% since 2001

Usage: -21% since 2001

Electricity Usage

Rates: +19% since 2001

Usage: -21 since 2001

Plant Output

Up >30% Since 2001

[ Source: IBM knowledge base ]

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Advanced analytics (Green Sigma)

Predictive analyticsNew dimensions of asset management

Predictive AnalyticsUsing advanced analytics, identify suboptimal equipment settings and issue alert for corrective action.

Example: Analytics revealed an air handling unit was operating when the building was unoccupied. The savings from correcting this single issue was $60K per year.

Developed with alliance partner, Johnson Controls

[ Source: IBM knowledge base ]

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Smart City MalagaIntegration of Smart Grid and Smart City

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Smart City

Smart Buildings

Smart Energy Generation

Smart and Informed Customer

Smart Mobility

Smart Energy Storage

8-15% emission reduction

30-50% emission reduction

5-15% emission reduction

º

Smart Lighting

@

Smart TIC

Smart Energy Efficiency

• The power grid

network as a

flexible, highly

automated and

fully integrated

centralized

control features,

diagnosis, self-

healing and

metering.

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AMIAutomated Metering Infrastructure

2.000 next-generation smart

meters based on PLC

communication and

METER&MORE

compliance.

These meters will be rolled

out in Spain by first time

PLC communications

(electrical grid) and GPRS

(wireless)

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Operations Center of the City of Rio

• Real time video rendering and analysis

• Video streaming from subway stations and major intersections

• DeepThunder weather program predicts rainfall across the city

• Identification of car accidents

• Visualization of power failures

IBM Intelligent Operations Center (IOC) supports Rio De Janeiro’s operations

[ Source: New York Times, IBM knowledge base ]

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Questions ?

Thank you...

[email protected]


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