RTTR aims to collect and analyse cable temperatures across different load positions, develop a thermal model to calculate real time ratings and create a specification for distribution temperature sensing equipment
The project aims to:
Collect and analyse cable temperatures across different load positions
Develop a thermal model to calculate real time ratings
Create a specification for distribution temperature sensing equipment
What is the project about?
The RTTR cables project is an extension of our previous RTTR Transformers project. Instead of transformers, RTTR cables will analyse cable temperature/loads and develop a thermal model to calculate real time ratings. this will allow us to create a specification for distribution temperature sensing equipment to be used by our asset teams to design, plan and monitor existing and new assets.
How we’re doing it
In this project we will:
Calculate loading ratings for underground cables based on real time data
Correlate the data in a thermal model so that a new system could be developed to either
replace the installation of the fibre optic cable along the whole length of the tunnel#
Utilise the already developed RTTR transformer software platform to include additional modules for cables once the thermal model is developed, trained and verified.
Compare the real time thermal ratings with CRATER/IEC model accuracy
Establish an industry standard and create a manual for real time monitoring of cables.
What makes it innovative
This project will allow us to predict cable temperatures and hot spots through an optimised Thermal Model, thus improving the visibility of our cables. Calculations based on cable ratings and the exit temperature of air leaving tunnels will allow us to maximise the capacity of the cables safely and reduce the cost of our ventilation systems. The project will also help us to reduce the amount of cable faults and therefore save us time and money because we won’t having to send our staff to fix them. Overall, increasing our monitoring capabilities maximises operational efficiency and saves money for our customers.
What we’re learning
Through the project, we will gain more understanding about the thermal performance of cables in tunnels and ducts. Following the development of the thermal model and depending on the accuracy of the results, UK Power Networks will use additional data science/machine learning techniques to improve the model’s accuracy through the data from other sites.
This will allow UK Power Networks to analyse the data and learn from historical data which will increase the understanding of real time cable operation and planning/designing for future schemes.
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