Municipal GHG emission data repositories are expensive and time-consuming to build, maintain, validate, and evaluate. The absence of detailed cost/benefit calculations and measurements make it difficult to understand results of mitigation strategies. The Carbon Track and Trace (CTT) project aims to develop an automated system for greenhouse gas (GHG) emissions monitoring and reporting. The system will enable a municipality to automatically log and analyse calibrated measurements of their direct GHG emissions. This data will for the first time allow municipalities to develop evidence-based policy for mitigation strategies, linking specific actions and strategies to measured reductions unlocking the potential for significant increases in private capital investments in GHG emission reduction measures.
An IoT Sensor Network
Realtime measuring of greenhouse gas levels can be achieved by using inexpensive, open-source hardware.
By using novel communication technologies like LoRaWAN, we make the sensor network scalable.
The measurements from the IoT sensor network are relayed from gateways to an open cloud platform, allowing for easy integration with other applications.
Tailored data analysis will integrate sensor measurements with other open data sources to generate new insights and city-level emission overviews.
Analysis results are visualized to different stakeholders and also made available for further processing.
CTT gives politicians and planners more accurate real-time greenhouse gas emissions measurements, facilitating faster feedback loops between action and quantifiable impact.
Giving citizens access to real time air quality maps of their city give them the opportunity to influence their local community to become more environment friendly, choose a 'green route' to work and choose when its best to go for a run.
The CTT ecosystem gives researchers an open source, low-cost platform for field measurements of greenhouse gas emissions in buildings, energy, transport, and waste, and will lower the threshold for researchers to engage with local emissions data.