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CTT 2.0 Carbon Track and Trace
Climate-Smart Cities
Dirk Ahlers, NTNU, Trondheim, Norway
NordicEdge Centre Court, 2016, Stavanger
t
Smart Sustainable City:
From Science to Practice
(and back)
t
Urban Lab Trondheim
Landuse & transportation
planning
ZEB buildings
Smart Cities
Low energy/ emission
neighborhood planning
Health promoting areas
Social inclusion & participatory
processes
Urban governance
Public space and Art
t
Climate-Smart Cities
Climate Strategies & Smartness & Data
t
Cities need to drive mitigation
[Carl-Erik Eriksson, Trondheim Kommune]
t
t
The CTT project
Carbon Track and Trace
t
What is the basic problem we are trying to solve?
• Cities do not have adequate tools to measure the
impact of their climate strategies and measures
• Existing greenhouse gas emissions inventory
methods are too coarse, too inaccurate, and too
uncertain to provide effective feedback to municipal
climate goals.
• Need to combine and understand different data
types to understand what motivates changes in
behaviour.
t
[GPC Standard]
GHG emissions are not easy to track,
especially from transport and consumption
t
Carbon Track & Trace - CTT
• Monitoring, Reporting, Understanding of city-level
greenhouse gas emissions
• Both emission inventories and real-time local
measurements
• Better accounting leads to better prioritization of
mitigation projects
• Pilot areas in Trondheim and Vejle
t
Integrating workflows and sensors
Sensor Network
Inventory
Workflow
Emissions Monitoring
t
CTT Value Chain
Citizens
Politicians
Planners
VisualisationAnalysisCloudAntennasSensors
Problem! Solution
t
13
Approach and Activities
•Integration of emission data into city planning and
decisions support
•Deployment of LoRa sensor network in Trondheim
and Vejle
•Development of an analytics framework of GHC
emissions
•Work towards GPC-compliant inventories
•Development of a business plan, fundraising
• Scaling out, deployment/testing internationally
t
Sensor/networks system
[NASA, Wikipedia, tradlosetrondheim.no, CTT, NTNU]
t
15
t
t
Ecosystem
• CTT 2.0 consortium
• NTNU, DTU
• ICLEI-World, ICLEI-Europe, LSCE, South Pole Group,
Virtual City Systems
• Trondheim Municipality, Vejle Municipality, T:Lab,
NumaScale, Sør-Trøndelag Fylkeskommune, Norwegian
Institute for Air Research
• Additional local projects, collaboration with DTU, H2020
proposals, Smart Sustainable Cities initiatives
t
18
• The ecosystem we are building is complex, buggy,
and prone to rats
• Innovation projects in Smart Cities need space to fail
• Understanding the needs of the cities takes time
(and vice versa)
• Low cost sensors, open systems, and Big Data
analytics in combination are a promising way
forward
What have we learned so far?
t
19
Next steps
• Better understanding of user needs
• Adding noise and traffic measurements
• Using IR drones to map woodstove emissions and
numbers in Vejle
• Data validation
• Integrating air quality and CO2 data into existing
decision support/planning support systems (3D)
• Utilise remote sensing data from NASA, ESA, JAXA,
and TanSat.
• Creating more citizen observatories
• Engaging students (Thora Storm) to work with
sensors, systems, and data analytics to learn
t
t
Dirk Ahlers
dirk.ahlers@idi.ntnu.no
http://carbontrackandtrace.com/
http://smartsustainablecities.org/
https://www.ntnu.edu/smartcities/

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Climate-Smart Cities - CTT Nordic Edge 2016 Stavanger Public Solutions Centre Court 20161007

  • 1. Text Text CTT 2.0 Carbon Track and Trace Climate-Smart Cities Dirk Ahlers, NTNU, Trondheim, Norway NordicEdge Centre Court, 2016, Stavanger
  • 2. t Smart Sustainable City: From Science to Practice (and back)
  • 3. t Urban Lab Trondheim Landuse & transportation planning ZEB buildings Smart Cities Low energy/ emission neighborhood planning Health promoting areas Social inclusion & participatory processes Urban governance Public space and Art
  • 5. t Cities need to drive mitigation [Carl-Erik Eriksson, Trondheim Kommune]
  • 6. t
  • 7. t The CTT project Carbon Track and Trace
  • 8. t What is the basic problem we are trying to solve? • Cities do not have adequate tools to measure the impact of their climate strategies and measures • Existing greenhouse gas emissions inventory methods are too coarse, too inaccurate, and too uncertain to provide effective feedback to municipal climate goals. • Need to combine and understand different data types to understand what motivates changes in behaviour.
  • 9. t [GPC Standard] GHG emissions are not easy to track, especially from transport and consumption
  • 10. t Carbon Track & Trace - CTT • Monitoring, Reporting, Understanding of city-level greenhouse gas emissions • Both emission inventories and real-time local measurements • Better accounting leads to better prioritization of mitigation projects • Pilot areas in Trondheim and Vejle
  • 11. t Integrating workflows and sensors Sensor Network Inventory Workflow Emissions Monitoring
  • 13. t 13 Approach and Activities •Integration of emission data into city planning and decisions support •Deployment of LoRa sensor network in Trondheim and Vejle •Development of an analytics framework of GHC emissions •Work towards GPC-compliant inventories •Development of a business plan, fundraising • Scaling out, deployment/testing internationally
  • 14. t Sensor/networks system [NASA, Wikipedia, tradlosetrondheim.no, CTT, NTNU]
  • 15. t 15
  • 16. t
  • 17. t Ecosystem • CTT 2.0 consortium • NTNU, DTU • ICLEI-World, ICLEI-Europe, LSCE, South Pole Group, Virtual City Systems • Trondheim Municipality, Vejle Municipality, T:Lab, NumaScale, Sør-Trøndelag Fylkeskommune, Norwegian Institute for Air Research • Additional local projects, collaboration with DTU, H2020 proposals, Smart Sustainable Cities initiatives
  • 18. t 18 • The ecosystem we are building is complex, buggy, and prone to rats • Innovation projects in Smart Cities need space to fail • Understanding the needs of the cities takes time (and vice versa) • Low cost sensors, open systems, and Big Data analytics in combination are a promising way forward What have we learned so far?
  • 19. t 19 Next steps • Better understanding of user needs • Adding noise and traffic measurements • Using IR drones to map woodstove emissions and numbers in Vejle • Data validation • Integrating air quality and CO2 data into existing decision support/planning support systems (3D) • Utilise remote sensing data from NASA, ESA, JAXA, and TanSat. • Creating more citizen observatories • Engaging students (Thora Storm) to work with sensors, systems, and data analytics to learn
  • 20. t