CTT 2.0 Carbon Track and Trace presentation

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CTT 2.0

Carbon Track & Trace

Dirk Ahlers, NTNUUlan Bator, 06.04.2016

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

• Part of larger SmartCities approaches

What is the basic problem? GHG emissions are not easy to track

[GPC Standard]

Approach: Set up repeatable processes

• Gap Analysis

• What can be improved to implement the standard?

• Workflow Process

• How is the current workflow, where does data come

from?

• Requirements Definition

• How can this be structured and put into a

repeatable, automated process?

From inventories to workflows

Workflow Analysis

Requirements

Gap Analysis

Workflow System

From workflows to sensors

Sensor NetworkInventory

Workflow

Emissions Monitoring

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2016 activities

•Deployment of sensor network in Trondheim and

Vejle

•Development of an analytics framework of GHC

emissions

•Work towards GPC-compliant inventories

•Integration of emission data into city planning and

decisions support

•Development of a business plan, fundraising, and

scaling out

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

Sensor/networks system

[NASA, Wikipedia, tradlosetrondheim.no, CTT, NTNU]

Fundraising / self-sustainability

• Inclusion of TTO (NTNU Technology Transfer Office),

T:Lab, DTU Office for Innovation services

• Business model: Provide cities with inventory methods

to provide clear business cases for investments for

mitigation strategies, coupled with sensor networks and

IoT

• Financial independence by the end of the project

• Pursue contracts with municipalities and seek

seed/startup capital

• Additional multipliers from projects, innovation funds,

city buy-ins

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Climathon24-hour hackathonTrondheim 7-8 January 2016

The challenge:

How can you use existing open datasetsto calibrate and check official reported emissions from Statistics Norway (SSB)?

Climathon winners: Team Polarbears: Atle Vesterkjær (Numascale), Jie Ren, Arne Jenssen, Pål Preede Revheim

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Seeing the effect of local political measures

“Nordre avlastningsvei”opened in May 2010[a shortcut road that leads motorists around the city center]

LNG busses 2010

The air quality measurements in the city center shows a clear improvement after May 2010

In order to measure the effect of local actions you need local sensors

Open datasets:


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Initial result: Trondheim emitted ~14% less from private transport than the national average in 2009

Potential for further development:

Data from more checkpoints e.g. toll posts and parking (with information

on the vehicle). Data for public transport (busses)

Verification of traffic emission

Traffic at 4 checkpoints in Trondheim

Composition of the car fleet

Travel habit survey Survey of travels of ~ 6000 persons in the Trondheim-region

Open datasets

Population demographics of TrondheimAverage emissions of different types

of cars


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The satellite data is applicable as a reference for:- Comparing Trondheim with non-inhabited

regions to isolate man-made emissions- Comparing with other cities to see relative

changes in trends- Used Together with ground sensors for- Calibration

ACOS Satellite data

For the Trondheim

climathon Team Polarbears

made a python program

that read all the netCDF

files from the satellite and

extracted the CO2 data for

coordinates close to

Trondheim

High accuracy (± 1 ppm)

Low spatial resolution (~

1e2 km)

Low temporal resolution (weekly orbit overlap)

There is a seasonal

variation due to change in

levels of photosynthesis,

weather/cloud coverage

and energy usage patterns.

2013

Trondheim area

2008


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• Open datasets can reveal patterns in emissions.• It is important to use local data to see effects of

local actions.• A lot of useful data is collected but not always

available/used (e.g. toll road statistics).• 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.

• Good data is a foundation for better decision making.

Conclusion

climate-kic.org

[email protected]

http://carbontrackandtrace.com/

http://smartsustainablecities.org/

https://www.ntnu.edu/smartcities/

CTT 2.0 Carbon Track and Trace presentation

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