Smart Infrastructures for a Sustainable City:
Stockholm Case Studies
Karl H. Johansson
ACCESS Linnaeus Center & Electrical...
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 ton...
Energy Consumption and Enabling Technologies

Energy consumption in Europe
• 40% of total energy use is in buildings
• 76%...
How to Achieve Energy Efficiency?

Load reduction
Load

Load shifting
Load

Time of the day

Peak shaving
Load

Time of th...
Emerging Technologies for Energy Efficiency
Smart appliances
for load shifting

Electrical and
thermal storage

Local powe...
KTH Building Automation Testbed
KTH Campus
Optimized Building Climate
Optimal control problem
Minimize energy use
While keeping indoor temperature and
air quality wi...
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...
From Smart Infrastructure to
Integrated City Goods Transportation
Collaborative road transportation

Real-time traffic inf...
Summary
• Buildings and transportations are large energy consumers
• New sensor, communication, control and cloud technolo...
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2014 Future Cities Conference / Karl Henrik Johansson "Smart Infrastructures for a Sustainable City: Stockholm Case Studies"

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

  1. 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
  2. 2. Stockholm Challenge Regional GNP Population CO2 equivalent Year
  3. 3. Stockholm Royal Seaport • F From a brown field area to a sustainable city district
  4. 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. 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. 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. 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. 8. KTH Building Automation Testbed KTH Campus
  9. 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. 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. 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. 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

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