CTT2.0 Carbon Track and Trace presentation for SmartCitiesIndiaExpo May 2016 in Delhi and presentation to interested partners. Overview of the project, aims, approaches, technologies used to measure, report, understand greenhouse gas emissions

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CTT 2.0
Carbon Track and Trace
Stop guessing – start measuring
http://carbontrackandtrace.com/
http://smartsustainablecities.org/
Dirk Ahlers, NTNU, Trondheim, Norway
SmartCityExpo India, Delhi, 11.-13.05.2016

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Carbon Track & Trace - CTT
• Monitoring, Reporting, Understanding of city-level
greenhouse gas emissions
• Both emission inventories and real-time local sensor
measurements
• Better accounting leads to better prioritization of
mitigation projects
• Part of larger SmartCities approaches
• Internet of Things backbone
• Research-based approach

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Integrating workflows and sensors
Data
Discovery
Data
Retrieval
Data
Cleaning
Data
Integration
GPC
Calculation
Sensor Network
Inventory
Workflow
Emissions Monitoring

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Approach and Activities
•Integration of emission data into city planning and
decisions support
•Deployment of IoT 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

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CTT Value Chain
Citizens
Politicians
Planners
VisualisationAnalysisCloudAntennasSensors

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Sensor/networks system
[NASA, Wikipedia, tradlosetrondheim.no, CTT, NTNU]

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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, ICLEI-Europe, Sør-Trøndelag
Fylkeskommune, Norwegian Institute for Air Research
• Additional local projects, collaboration with DTU, H2020
proposals, Smart Sustainable Cities initiatives

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Proposal
• Delivery of the full CTT chain and technology stack
• Sensors, network, Big Data analytics, decision support
• Use of an IoT backbone
• Phased introduction of CTT measurements
• First availability end of 2016
• Deployment growing with the project development
• Use as testbed to get results earlier
• Support for all project phases

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• Using local data helps to see effects of local actions.
• Good data is a foundation for better decision
making.
• To get the most out of the existing open datasets, we
need to invest in ground sensors. This will enable
detailed monitoring of city-level emissions.
• Low-cost sensors can give more detailed local
insights.
• CTT allows for fast feedback loops.
• CTT will be available late 2016.
• Multiple partner models possible.
Conclusion

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Dr. Dirk Ahlers
dirk.ahlers@idi.ntnu.no
http://carbontrackandtrace.com/
http://smartsustainablecities.org/
https://www.ntnu.edu/smartcities/