Projects: Projects for Investigator
Reference Number NIA_SPEN_032
Title Transition to Dynamic Cable Rating Operation
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
SP Energy Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 May 2018
End Date 01 December 2020
Duration ENA months
Total Grant Value £60,000
Industrial Sectors Power
Region Scotland
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , SP Energy Networks (100.000%)
  Industrial Collaborator Project Contact , SP Energy Networks (0.000%)
Web Site
Objectives The methodology used in this project will research, development and demonstration. The project will be conducted under four work packages as follows:Work package 1 - Data Collection & AnalysisMonitoring the temperature of the fibre and conductor in the shared trench after an increase of power to one of the windfarms for a minimum of 6 months to capture both seasonal and generation variations. Extracting data from the raw data files of the DTS system. Analysing the historic cable temperature data in conjunction with the windfarms outputs before and after the power output increase. This analysis aims to investigate if the additional power output will cause the cable temperature to exceed its permissible operational temperature. Work package 2 – System Advancement and Validation The requirements for a central DCR calculation engine will be developed based on the learnings captured and issues identified in the previous NIA “Enhanced Real-Time Cable Temperature Monitoring” SPEN0003 project.. We will engage with the original calculation engine supplier to validate the cable temperatures and thermal modelling of the cables under this new loading condition. Incorporating a review of the modelled thermal characteristics, the output of the calculations with cymcap and the comparison between their DCR models.,  Work package 3 - Transition to Business as UsualThe policy document which was drafted previously will be finalised in order to provide clear guidelines for deployment of DTS and DCR components in future installations.  Work package 4 - DisseminationThe outcomes and lessons learnt from this project will be disseminated through organising internal and external presentations to relevant stakeholders. The scope of this project will include:- Enhance the learning from the cable temperature monitoring system developed in SPENS previous Tier 1 LCNF and NIA projects by conducting additional monitoring and analysis under increased generating conditions , compare findings against modelled predictions and refining DCR calculation engine requirements.- Carrying out data analysis over a 6 month period temperature data to understand the thermal capacity of the cable circuits and conductor temperature variations, identify potential additional headroom under enhanced generating conditions.- Develop the functional specifications for an adaptable central DCR calculation engine. - Finalise the policy documents and provide recommendation for full business adoption utilising the latest central DCR calculation engine. - Dissemination of the outcomes and learning points  The objectives of this project are:- Demonstrate the additional network capacity and boost confidence in deploying adaptable cable temperature monitoring systems as a BaU option.- Provide recommendations for a central DCR calculation engine to integrate with different DTS systems.- Provide documentation for BaU adoption of the methodology - Disseminate the key lessons learnt
Abstract Demonstrate the additional network capacity and boost confidence in deploying adaptable cable temperature monitoring systems as a BaU option.
Publications (none)
Final Report (none)
Added to Database 08/11/22