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A cost and time effective prediction technique for OWC-WEC devices

Citation

Abdussamie, N and Ham, M and Ojeda, R and Penesis, I, A cost and time effective prediction technique for OWC-WEC devices, Proceedings of the 28th International Ocean and Polar Engineering Conference, 10-15 June 2018, Sapporo, Japan, pp. 649-656. ISBN 9781880653876 (2018) [Refereed Conference Paper]


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Copyright Statement

Copyright 2018 International Society of Offshore and Polar Engineers

Official URL: http://legacy.isope.org/publications/proceedings/I...

Abstract

Prediction of the hydrodynamic efficiency of a Wave Energy Converter (WEC) device is crucial to evaluate the design and the concept of the device. Experimental and numerical techniques are the main tools currently available for WEC designers; however, these techniques are still costly and too time expensive to be used for optimisation and commercial purposes. It is, therefore, important to develop an efficient and cost/time-effective technique in order to investigate the hydrodynamic characteristics of WEC devices. In this work, an Adaptive Neuro-Fuzzy Inference System (ANFIS) technique was developed to predict the hydrodynamic efficiency of WEC devices. ANFIS models were designed, trained and tested using published experimental datasets for the hydrodynamic efficiency of fixed Oscillating Water Column (OWC) devices, and different types of membership functions were examined to develop the best accurate model. ANFIS technique was found to provide good estimates in comparison with experimental results and can be used to predict the hydrodynamic efficiency of WEC devices during the early stages of design.

Item Details

Item Type:Refereed Conference Paper
Keywords:wave energy, oscillating water column, hydrodynamic efficiency, Adaptive Neuro-Fuzzy Inference System
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Ocean Engineering
Objective Division:Energy
Objective Group:Energy Exploration
Objective Field:Oil and Gas Exploration
UTAS Author:Abdussamie, N (Dr Nagi Abdussamie)
UTAS Author:Ham, M (Mr Minki Ham)
UTAS Author:Ojeda, R (Dr Roberto Ojeda Rabanal)
UTAS Author:Penesis, I (Associate Professor Irene Penesis)
ID Code:126507
Year Published:2018
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2018-06-14
Last Modified:2019-09-12
Downloads:0

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