Probabilistic approach to determine the efficiency of ocean wave energy conversion systems

Stephen Ekwaro-Osire, Fisseha M. Alemayehu, Jamie Chapman, Ozhan Gecgel, Shweta Shweta Dabetwar, João Paulo Dias, Haileyesus B. Endeshaw

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, several research studies are being conducted on Ocean Wave Energy Conversion (OWEC) systems that convert wave motion into electricity. The efficiency of OWEC systems is a parameter of great significance. Thus, it is important to consider factors that affect the efficiency of the system, such as ocean wave properties, airflow characteristics of the OWEC systems, and manufacturing inaccuracies. However, these parameters have inherent uncertainties, which should not be disregarded. Without considering these uncertainties, the feasibility assessment of an OWEC system can be misleading. For this study, the following research question was developed: can probabilistic analysis be used to determine the reliability of the efficiency of the OWEC system? To answer this research question, the specific aims developed were: (1) to quantify the uncertainties of the input parameters, and (2) to determine the reliability of efficiency of the OWEC system. The reliability of the efficiency of the system was calculated probabilistically. Probabilistic sensitivity analysis was performed to determine the random variable that had the most impact on the reliability of the efficiency of the OWEC system. Advanced Mean Value (AMV) method was used to determine the probability of failure. NESSUS software was used to perform the probabilistic analysis. In order to assess the reliability of the system, a target efficiency was set and the probability of achieving this efficiency under uncertain input conditions was investigated. The deterministic and probabilistic results were also compared. The results showed that, probabilistic analysis approach can reveal the reliability of the system efficiency by accounting for the wave parameter and manufacturing uncertainties. Moreover, sensitivity analysis showed the variables that had the most impact on reliability of efficiency.

Original languageEnglish
Title of host publicationEnergy
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850589
DOIs
StatePublished - 2016
EventASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016 - Phoenix, United States
Duration: Nov 11 2016Nov 17 2016

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume6A-2016

Conference

ConferenceASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016
Country/TerritoryUnited States
CityPhoenix
Period11/11/1611/17/16

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