A comparative analysis of an aerosol dry deposition microscale model for overhead powerlines insulators

Aerosol particles deposition on overhead power line insulators may significantly threaten electric systems, affecting dielectric properties and potentially causing surface discharges and service interruptions, leading to economic consequences. This study addresses this challenge by evaluating a dedi...

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Bibliographic Details
Published inBulletin of Atmospheric Science and Technology (Online) Vol. 5; no. 1
Main Authors Luciano, Nicola, Balzarini, Alessandra, Toppetti, Anna Maria, Omodeo, Paolo, Pirovano, Guido
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2024
Subjects
Atmospheric Sciences
Earth and Environmental Science
Earth Sciences
Meteorology
Remote Sensing/Photogrammetry
Electric grid resilience
Aerosol deposition
Deposition model
Electric insulators
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Summary:Aerosol particles deposition on overhead power line insulators may significantly threaten electric systems, affecting dielectric properties and potentially causing surface discharges and service interruptions, leading to economic consequences. This study addresses this challenge by evaluating a dedicated microscale deposition model that integrated into an advanced air quality (AQ) modeling system. The microscale model integration into the AQ system aims to improve predictions of equivalent salt deposit density (ESDD), a key measure of insulator contamination. This enhancement is crucial for improving system resilience and reliability. The microscale model’s performance in reconstructing particulate matter (PM) deposition fluxes onto XP-70 porcelain-disk electrical insulator is assessed against measured ESDD data collected across various regions in Italy during several experimental campaigns. In order to better understand the specific phenomena impacting PM deposition, the microscale model is compared to the state-of-the-art Zhang deposition model used in CAMx. The analysis reveals that the microscale model tends to overestimate measured ESDD values and predicts higher deposition velocities than the Zhang model. These results suggest potential modelling differences between the two models, including variations in obstacle parameterizations, influence of particle aerodynamics, and dispersion modelling in the near-wall region.
ISSN:2662-1495
2662-1509
DOI:10.1007/s42865-024-00080-z