A wide range of environmental conditions, especially wind, are known to impact the wear of overhead lines (OHL) conductors and fittings, influencing how long they can reliably function before they need replacing.
Unsurprisingly, assets with a higher level of exposure are at the highest risk of damage. Increased exposure stems from a combination of factors, including local weather characteristics, the type of landscape and the mechanical properties of the assets themselves.
Depending on the levels of exposure, different assets have varying rates of deterioration. By understanding the expected level of exposure on a span-by-span basis, asset owners can optimize investment by delaying or advancing re-conductoring programs, adjusting fittings maintenance/painting schedules and improving asset inspection/monitoring processes.
Utility companies already employ methods of classifying OHL spans in terms of wear and defects, but our technology provides this same data in less time and at reduced expense, without resorting to invasive or destructive testing.
By quantifying the effect of both wind exposure and corrosion on the expected defect rates of OHL assets, this data enables the optimization of investment by providing a clearer understanding of asset deterioration over time.
We are able to apply our wind-induced wear and corrosion models to any OHL asset, anywhere on the planet, and calculate asset life modifiers that will not only optimize asset management strategies, but also increase system reliability and protect investment.