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Cost-benefit analysis of climate change adaptation for power pole networks
Author(s) -
Paraic C. Ryan,
Mark G. Stewart
Publication year - 2017
Publication title -
climatic change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 188
eISSN - 1573-1480
pISSN - 0165-0009
DOI - 10.1007/s10584-017-2000-6
Subject(s) - adaptation (eye) , climate change , climate change adaptation , power (physics) , environmental science , environmental resource management , computer science , geology , psychology , oceanography , physics , quantum mechanics , neuroscience
Power distribution pole networks are vulnerable to a changing climate. Climate change can increase wind speeds, and changes in rainfall and temperature can accelerate timber decay, affecting residual capacity of timber power poles. The present paper utilises advanced stochastic simulation methods to examine climate change impacts, and possible climate change adaptation strategies, for Australian power distribution networks. The assessment framework developed, which is applicable to a wide variety of infrastructure types and research areas, utilises probabilistic methods to investigate the appropriateness of climate adaptation strategies aimed at ameliorating the impact of climate change on critical infrastructure. Measures investigated include alterations to design or maintenance practices through, for example, installation of larger poles, more frequent inspections, or changes to pole replacement criteria. A cost-benefit decision analysis is developed herein using the latest AR5 climate projections, network vulnerability, adaptation measures, and cost and loss data for both direct and indirect costs. The net present value and benefit-to-cost ratio is calculated for different adaptation strategies over the life cycle of the assets up to the year 2090. An adaptation measure that allows for the installation of larger poles but less stringent pole replacement criteria has the highest net benefit—with a mean potential saving of hundreds of millions of dollars

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