A Bayesian Updating Framework for Simulating Marine Energy Converter Drive Train Reliability
Ewing, FJ; Waldron, B; Thies, PR
Date: 3 May 2017
Conference paper
Publisher
Marine Energy Technology Symposium (METS)
Abstract
INTRODUCTION: Accurately quantifying and assessing the reliability of Marine Energy Converters (MEC’s) is critical for the successful commercialization of the industry. Without improvements in reliability and hence reductions in operation & maintenance (O&M) costs, the industry will struggle to reach competitive Levelised Cost of Energy ...
INTRODUCTION: Accurately quantifying and assessing the reliability of Marine Energy Converters (MEC’s) is critical for the successful commercialization of the industry. Without improvements in reliability and hence reductions in operation & maintenance (O&M) costs, the industry will struggle to reach competitive Levelised Cost of Energy (LCoE). At present, due to the nascent stage of the industry and commercial sensitivities there is very little reliability field data available. This presents an issue: how can the reliability of MEC devices be accurately assessed and predicted with a lack of specific reliability data? [...]
Engineering
Faculty of Environment, Science and Economy
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