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A platform for research: civil engineering, architecture and urbanism
Hourly wind data for aeolian vibration analysis of overhead transmission line conductors
https://orcid.org/0000-0001-7757-0608
Abstract Fretting fatigue of conductors due to aeolian vibrations is an important phenomenon for the design and maintenance of electric transmission networks. The evaluation of exposure and susceptibility of a given span to aeolian vibrations requires information on the distribution of hourly wind speed and direction. Interpolation has been used to obtain wind data at non-instrumented locations; however, their accuracy is not adequate at locations far from stations and at locations in mountainous regions. Numerical Weather Prediction data sets provide wind information on a regular grid covering equally all regions; however, the spatial resolution is not adequate. A procedure is proposed using a mass-conserving diagnostic model (WindNinja) that incorporates a detailed map of local topography to improve predictions of wind direction. A second correction is proposed to account for local surface roughness as a function of wind direction and average canopy height from high-resolution LiDAR data. The proposed procedure is applied to nine meteorological stations and two experiment sites over southern Quebec, Canada. WindNinja was found to provide good estimates for the effects of local topography in mountainous regions. Wind speed after correction provides good agreement with hourly observations as well as with Weibull distributions fitted to the actual observations.
Highlights A procedure is proposed to downscale hourly wind data at non-instrumented sites. LiDAR data is used to account for topography when downscaling wind direction. A proposed correction based on mean canopy improves interpolation of wind speed. Application to 11 locations in southern Quebec covering complex terrain and land cover. The method evaluate wind accurately at any local site, as an input for aeolian vibrations.
Hourly wind data for aeolian vibration analysis of overhead transmission line conductors
https://orcid.org/0000-0001-7757-0608
Abstract Fretting fatigue of conductors due to aeolian vibrations is an important phenomenon for the design and maintenance of electric transmission networks. The evaluation of exposure and susceptibility of a given span to aeolian vibrations requires information on the distribution of hourly wind speed and direction. Interpolation has been used to obtain wind data at non-instrumented locations; however, their accuracy is not adequate at locations far from stations and at locations in mountainous regions. Numerical Weather Prediction data sets provide wind information on a regular grid covering equally all regions; however, the spatial resolution is not adequate. A procedure is proposed using a mass-conserving diagnostic model (WindNinja) that incorporates a detailed map of local topography to improve predictions of wind direction. A second correction is proposed to account for local surface roughness as a function of wind direction and average canopy height from high-resolution LiDAR data. The proposed procedure is applied to nine meteorological stations and two experiment sites over southern Quebec, Canada. WindNinja was found to provide good estimates for the effects of local topography in mountainous regions. Wind speed after correction provides good agreement with hourly observations as well as with Weibull distributions fitted to the actual observations.
Highlights A procedure is proposed to downscale hourly wind data at non-instrumented sites. LiDAR data is used to account for topography when downscaling wind direction. A proposed correction based on mean canopy improves interpolation of wind speed. Application to 11 locations in southern Quebec covering complex terrain and land cover. The method evaluate wind accurately at any local site, as an input for aeolian vibrations.
Hourly wind data for aeolian vibration analysis of overhead transmission line conductors
https://orcid.org/0000-0001-7757-0608
Abstract Fretting fatigue of conductors due to aeolian vibrations is an important phenomenon for the design and maintenance of electric transmission networks. The evaluation of exposure and susceptibility of a given span to aeolian vibrations requires information on the distribution of hourly wind speed and direction. Interpolation has been used to obtain wind data at non-instrumented locations; however, their accuracy is not adequate at locations far from stations and at locations in mountainous regions. Numerical Weather Prediction data sets provide wind information on a regular grid covering equally all regions; however, the spatial resolution is not adequate. A procedure is proposed using a mass-conserving diagnostic model (WindNinja) that incorporates a detailed map of local topography to improve predictions of wind direction. A second correction is proposed to account for local surface roughness as a function of wind direction and average canopy height from high-resolution LiDAR data. The proposed procedure is applied to nine meteorological stations and two experiment sites over southern Quebec, Canada. WindNinja was found to provide good estimates for the effects of local topography in mountainous regions. Wind speed after correction provides good agreement with hourly observations as well as with Weibull distributions fitted to the actual observations.
Highlights A procedure is proposed to downscale hourly wind data at non-instrumented sites. LiDAR data is used to account for topography when downscaling wind direction. A proposed correction based on mean canopy improves interpolation of wind speed. Application to 11 locations in southern Quebec covering complex terrain and land cover. The method evaluate wind accurately at any local site, as an input for aeolian vibrations.
Hourly wind data for aeolian vibration analysis of overhead transmission line conductors
Yang, Shaoqi (author) / Chouinard, Luc E. (author) / Langlois, Sébastien (author)
2022-09-19
Article (Journal)
Electronic Resource
English
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