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

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  • 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. Stockholm Challenge Regional GNP Population CO2 equivalent Year
  • 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

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