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Projects: Projects for Investigator
Reference Number NIA_NGET0181
Title Classification of Wind Exposed Overhead line Spans
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) 50%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
National Grid Electricity Transmission
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 February 2016
End Date 01 April 2017
Duration 14 months
Total Grant Value £250,000
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , National Grid Electricity Transmission (100.000%)
Web Site http://www.smarternetworks.org/project/NIA_NGET0181
Objectives To better understand how wind forces affect our OHL system and the overall risk to our asset portfolio of short term and longer term damage. The outputs of this research project will provide the industry: Confidence level in the technique is established. Impact of environment re-classification is demonstrated. Potential for new environment categorizations is discussed with recommendations.
Abstract A key parameter affecting the deterioration of ACSR Zebra overhead lines is their location, mainly in terms of environmental conditions, which lead to vibration. At present, the environment is classified into three categories, high medium and low risk. This classification is chosen based on altitude and proximity to coastal areas. This project aims to review this categorization and attempt to develop a more refined methodology to determine the degradation rate of overhead lines based on their physical location. The overhead line environment will be modelled to understand the impact. Four characteristics in particular will be analysed: Wind Speed - Higher than average for the section Wind Direction - Spans perpendicular to prevailing wind Turbulence Intensity - Low Wind Shear - Low The technical method proposed in this project models characteristics such as; turbulence, wind direction and extreme wind and ice loading events, to provide a more accurate assessment of the likelihood of conditions giving rise to conductor motion.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications (none)
Final Report (none)
Added to Database 07/06/18