Summary
This paper advances the probabilistic design of transmission line towers under in-cloud icing conditions by isolating three governing stochastic variables: collision efficiency, conductor inclination relative to inflow, and conductor temperature. Building on the well-known
Read more Read lessMakkonen [1] model, we combine controlled Climatic Wind Tunnel experiments with field measurements from four transmission line towers in winter 2024/2025 to calibrate ice-load simulations. Results indicate that collision efficiency remains approximately constant during accretion but consistently exceeds predictions from the standard Finstad model. Field data support an effective efficiency of approx. 0.24, aligning with cylindrical rime accretion theory but suggesting the Finstad [2]model underestimates real-world values. Furthermore, accretion is shown to be largely invariant for inflow angles between 45° and 90°, with significant mass reduction occurring only below 45°. This contradicts ISO 12494 [3], which posits a stronger sine-squared reduction at moderate angles. Finally, conductor temperature acts as a binary boundary condition. Icing initiates only when the conductor surface drops below 0°, after which the insulating effect of the initial layer renders subsequent fluctuations irrelevant to growth rates. Incorporating these revised parameters enables more accurate site-specific simulations, supporting optimized capital allocation and improved infrastructure reliability.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B2_12368_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Germany |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
ULLOA JIMENEZ Erick - Amprion GmbH; STEEVENS Stefan - Amprion GmbH; PETERS Simon - Amprion GmbH
Keywords
In-Cloud Icing, climate wind tunnel, collision efficiency, conductor temperature, conductor inclination