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Smart Infrastructures for a Sustainable City:
Stockholm Case Studies
Karl H. Johansson
ACCESS Linnaeus Center & Electrical Engineering
Royal Institute of Technology, Stockholm, Sweden

Future Cities Conference, Porto, Jan 28, 2014
Stockholm Challenge
Regional GNP

Population

CO2 equivalent

Year
Stockholm Royal Seaport
• F

From a brown field area to a sustainable city district
Stockholm Royal Seaport
• F

From a brown field area to a sustainable city district
Project Goals
• CO2 emissions <1.5 tons per person by 2020 (today 4.5)
• Fossil fuel-free by 2030
Energy Consumption and Enabling Technologies

Energy consumption in Europe
• 40% of total energy use is in buildings
• 76% of building energy is for comfort

Enabling Information and Communication Infrastructure
• Total energy savings of up to 15% by 2020
Industry;
1,1
• Buildings can save 2.4 GtCO2e
Buildings;
2,4
• Enormous potential for control and optimization Power; 2,1
Transport;
2,2

Energy efficiency requirements in building codes, International Energy Agency, Report, 2008
SMART 2020: Enabling the low carbon economy in the information age, The Climate Group, Report, 2008
How to Achieve Energy Efficiency?

Load reduction
Load

Load shifting
Load

Time of the day

Peak shaving
Load

Time of the day

Time of the day
Emerging Technologies for Energy Efficiency
Smart appliances
for load shifting

Electrical and
thermal storage

Local power and
heat generation

Optimized
building climate

Local renewable
power generation
KTH Building Automation Testbed
KTH Campus
Optimized Building Climate
Optimal control problem
Minimize energy use
While keeping indoor temperature and
air quality within comfort range

Integrated technologies
New sensors
• Wireless temp, CO2
• People counter
• Weather station
• Occupancy schedules
Data collection and
analytics:
• Historical data
• hvac.ee.kth.se
Advanced control

Parisio et al., 2013
Smart Home Appliances Scheduling
300

0.9

280

0.8

260

0.6

0.5

0.4
0

smart
home
gateway

green

240

CO2 cost (g/(kW*h))

0.7

CO2 intensity (g/kWh)

basic
home
gateway

320

1

Tariff (SEK/kWh)
Electricity price (SEK/(kW*h))

1.1

220

cheap

200

5

10

Hour
hour

15

20

180
25

Optimal power profile scheduling for smart appliances
Decision: when to run? How to run?

smart
appliance

Sou et al., 2013
From Smart Infrastructure to
Integrated City Goods Transportation
Collaborative road transportation

Real-time traffic information

Koutsopoulos et al, 2010

•
•
•
•

Coordinate city goods delivery
More efficient use of road network
Based on real-time traffic data
Novel price models and vehicles

Cyber-Physical Systems Roadmap, German National Academy of Science and Engineering, 2011
Summary
• Buildings and transportations are large energy consumers
• New sensor, communication, control and cloud technologies
enable innovations and shift in mind set
– Buildings as dynamic storage and controllable resource for city-wide adaptation
– Optimize climate and appliances using weather, occupancy, price information
– Collaborative goods transportation

• Multi-disciplinary challenges
requiring strong fundamental
research together with industry
collaborations
people.kth.se/~kallej

Finland’s, Sweden’s, and Denmark’s Prime
Ministers visiting the “Active House” in the
Stockholm Royal Seaport 2013

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2014 Future Cities Conference / Karl Henrik Johansson "Smart Infrastructures for a Sustainable City: Stockholm Case Studies"

  • 1. Smart Infrastructures for a Sustainable City: Stockholm Case Studies Karl H. Johansson ACCESS Linnaeus Center & Electrical Engineering Royal Institute of Technology, Stockholm, Sweden Future Cities Conference, Porto, Jan 28, 2014
  • 3. Stockholm Royal Seaport • F From a brown field area to a sustainable city district
  • 4. Stockholm Royal Seaport • F From a brown field area to a sustainable city district Project Goals • CO2 emissions <1.5 tons per person by 2020 (today 4.5) • Fossil fuel-free by 2030
  • 5. Energy Consumption and Enabling Technologies Energy consumption in Europe • 40% of total energy use is in buildings • 76% of building energy is for comfort Enabling Information and Communication Infrastructure • Total energy savings of up to 15% by 2020 Industry; 1,1 • Buildings can save 2.4 GtCO2e Buildings; 2,4 • Enormous potential for control and optimization Power; 2,1 Transport; 2,2 Energy efficiency requirements in building codes, International Energy Agency, Report, 2008 SMART 2020: Enabling the low carbon economy in the information age, The Climate Group, Report, 2008
  • 6. How to Achieve Energy Efficiency? Load reduction Load Load shifting Load Time of the day Peak shaving Load Time of the day Time of the day
  • 7. Emerging Technologies for Energy Efficiency Smart appliances for load shifting Electrical and thermal storage Local power and heat generation Optimized building climate Local renewable power generation
  • 8. KTH Building Automation Testbed KTH Campus
  • 9. Optimized Building Climate Optimal control problem Minimize energy use While keeping indoor temperature and air quality within comfort range Integrated technologies New sensors • Wireless temp, CO2 • People counter • Weather station • Occupancy schedules Data collection and analytics: • Historical data • hvac.ee.kth.se Advanced control Parisio et al., 2013
  • 10. Smart Home Appliances Scheduling 300 0.9 280 0.8 260 0.6 0.5 0.4 0 smart home gateway green 240 CO2 cost (g/(kW*h)) 0.7 CO2 intensity (g/kWh) basic home gateway 320 1 Tariff (SEK/kWh) Electricity price (SEK/(kW*h)) 1.1 220 cheap 200 5 10 Hour hour 15 20 180 25 Optimal power profile scheduling for smart appliances Decision: when to run? How to run? smart appliance Sou et al., 2013
  • 11. From Smart Infrastructure to Integrated City Goods Transportation Collaborative road transportation Real-time traffic information Koutsopoulos et al, 2010 • • • • Coordinate city goods delivery More efficient use of road network Based on real-time traffic data Novel price models and vehicles Cyber-Physical Systems Roadmap, German National Academy of Science and Engineering, 2011
  • 12. Summary • Buildings and transportations are large energy consumers • New sensor, communication, control and cloud technologies enable innovations and shift in mind set – Buildings as dynamic storage and controllable resource for city-wide adaptation – Optimize climate and appliances using weather, occupancy, price information – Collaborative goods transportation • Multi-disciplinary challenges requiring strong fundamental research together with industry collaborations people.kth.se/~kallej Finland’s, Sweden’s, and Denmark’s Prime Ministers visiting the “Active House” in the Stockholm Royal Seaport 2013