| dc.contributor.author | Ewing, FJ | |
| dc.contributor.author | Waldron, B | |
| dc.contributor.author | Thies, PR | |
| dc.date.accessioned | 2017-03-30T10:08:23Z | |
| dc.date.accessioned | 2017-04-28T07:17:01Z | |
| dc.date.issued | 2017-05-03 | |
| dc.description.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 (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? [...] | en_GB |
| dc.description.sponsorship | The support of the ETI and RCUK Energy Program funding for IDCORE (EP/J500847/1) is gratefully acknowledged. | en_GB |
| dc.identifier.citation | 5th Annual Marine Energy Technology Symposium (METS), May 1-3, 2017, Washington D.C., USA | en_GB |
| dc.identifier.uri | http://hdl.handle.net/10871/27294 | |
| dc.language.iso | en | en_GB |
| dc.publisher | Marine Energy Technology Symposium (METS) | en_GB |
| dc.relation.replaces | http://hdl.handle.net/10871/26859 | |
| dc.relation.replaces | 10871/26859 | |
| dc.relation.url | https://tethys.pnnl.gov/events/5th-annual-marine-energy-technology-symposium-mets | en_GB |
| dc.rights.embargoreason | Embargoed until post-conference | en_GB |
| dc.title | A Bayesian Updating Framework for Simulating Marine Energy Converter Drive Train Reliability | en_GB |
| dc.type | Conference paper | en_GB |
| exeter.place-of-publication | Washington, D.C., USA | en_GB |
| dc.description | This is the author accepted manuscript. The final version is available from METS | en_GB |
