Analysis of the effect of climate change on the reliability of overhead transmission lines. (November 2016)
- Record Type:
- Journal Article
- Title:
- Analysis of the effect of climate change on the reliability of overhead transmission lines. (November 2016)
- Main Title:
- Analysis of the effect of climate change on the reliability of overhead transmission lines
- Authors:
- Rezaei, Seyedeh Nasim
Chouinard, Luc
Langlois, Sébastien
Légeron, Frédéric - Abstract:
- Highlights: Sensitivity analysis of the reliability of transmission lines to climate change. Application of statistical learning theory in structural reliability assessment. Higher sensitivity of transmission line reliability to wind speed than to ice thickness. Importance of considering future climatic models in current design codes. Abstract: Climate change is anticipated to influence the reliability of overhead transmission and distribution lines through impacts on extreme weather events. Changes in the frequency and intensity of wind and ice storms may have a considerable effect on applied loads and can consequently affect the probability of structural failure of different components of the line. This study examines the reliability of transmission lines under a range of assumed changes in the mean and standard deviation of climatic variables affecting transmission lines such as annual extreme wind speed and ice thickness. The methodology used for the reliability analysis of transmission lines under current and future climatic conditions is based on the concepts of statistical learning theory. The sensitivity study provides the information required to improve the capacity of transmission lines and mitigate long-term risks from the effects of a changing climate. The results indicate that climate change as predicted by many researchers can significantly affect the reliability of existing transmission line systems. Hence, relying on the historic climatic data may not beHighlights: Sensitivity analysis of the reliability of transmission lines to climate change. Application of statistical learning theory in structural reliability assessment. Higher sensitivity of transmission line reliability to wind speed than to ice thickness. Importance of considering future climatic models in current design codes. Abstract: Climate change is anticipated to influence the reliability of overhead transmission and distribution lines through impacts on extreme weather events. Changes in the frequency and intensity of wind and ice storms may have a considerable effect on applied loads and can consequently affect the probability of structural failure of different components of the line. This study examines the reliability of transmission lines under a range of assumed changes in the mean and standard deviation of climatic variables affecting transmission lines such as annual extreme wind speed and ice thickness. The methodology used for the reliability analysis of transmission lines under current and future climatic conditions is based on the concepts of statistical learning theory. The sensitivity study provides the information required to improve the capacity of transmission lines and mitigate long-term risks from the effects of a changing climate. The results indicate that climate change as predicted by many researchers can significantly affect the reliability of existing transmission line systems. Hence, relying on the historic climatic data may not be sufficient to ensure an adequate reliability of transmission line systems in the future. The specification of design loads for the evaluation of existing lines or the design of new lines should consider both future climate models and historical climate data. … (more)
- Is Part Of:
- Sustainable cities and society. Volume 27(2016)
- Journal:
- Sustainable cities and society
- Issue:
- Volume 27(2016)
- Issue Display:
- Volume 27, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 27
- Issue:
- 2016
- Issue Sort Value:
- 2016-0027-2016-0000
- Page Start:
- 137
- Page End:
- 144
- Publication Date:
- 2016-11
- Subjects:
- Structural reliability analysis -- Transmission lines -- Climate change -- Statistical learning theory
Sustainable urban development -- Periodicals
Sustainable buildings -- Periodicals
Urban ecology (Sociology) -- Periodicals
307.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22106707/ ↗
http://www.sciencedirect.com/ ↗
http://www.journals.elsevier.com/sustainable-cities-and-society ↗ - DOI:
- 10.1016/j.scs.2016.01.007 ↗
- Languages:
- English
- ISSNs:
- 2210-6707
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1832.xml