Next Article in Journal
Metal Ions and Hydroperoxide Content: Main Drivers of Coastal Lipid Autoxidation in Riverine Suspended Particulate Matter and Higher Plant Debris
Next Article in Special Issue
Wave Energy Converter Annual Energy Production Uncertainty Using Simulations
Previous Article in Journal
Performance Assessment of NAMI DANCE in Tsunami Evolution and Currents Using a Benchmark Problem
Previous Article in Special Issue
A Floating Ocean Energy Conversion Device and Numerical Study on Buoy Shape and Performance
Article Menu

Export Article

Open AccessArticle
J. Mar. Sci. Eng. 2016, 4(3), 51;

On the Analysis of a Wave Energy Farm with Focus on Maintenance Operations

Renewable Energy Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
Mojo Maritime Ltd., Falmouth Business Park, Falmouth, Cornwall TR11 4SZ, UK
Author to whom correspondence should be addressed.
Academic Editors: Raúl Guanche García and Dong-Sheng Jeng
Received: 29 June 2016 / Revised: 29 July 2016 / Accepted: 11 August 2016 / Published: 23 August 2016
(This article belongs to the Special Issue Ocean Wave Energy Conversion)
Full-Text   |   PDF [1736 KB, uploaded 23 August 2016]   |  


Wave energy has a promising technical potential that could contribute to the future energy mix. However, costs related to the deployment of wave energy converters (WECs) are still high compared to other technologies. In order to reduce these costs, two principle options are available, a reduction in cost and an increase in productivity. This paper presents a reliability-based computational tool to identify typical decision problems and to shed light on the complexity of optimising a wave power farm. The proposed tool is used to investigate productivity and availability of a wave energy farm during 10 years of operational life. A number of optimization possibilities to improve productivity, namely vessel choice, maintenance regime, failure rate and component redundancy, are then explored in order to assess their effectiveness. The paper quantifies the yield increase and provides a practical approach to evaluate the effectiveness of strategic and operational decision options. Results, in terms of the variations in productivity and availability of the farm, are analysed and discussed. Conclusions highlight the importance of reliability-centred simulations that consider the specific decision parameters throughout the operational life to find suitable solutions that increase the productivity and reduce the running cost for offshore farms. View Full-Text
Keywords: reliability; availability; maintainability; optimization; operation and maintenance; wave farm; computational model reliability; availability; maintainability; optimization; operation and maintenance; wave farm; computational model

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Rinaldi, G.; Thies, P.R.; Walker, R.; Johanning, L. On the Analysis of a Wave Energy Farm with Focus on Maintenance Operations. J. Mar. Sci. Eng. 2016, 4, 51.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
J. Mar. Sci. Eng. EISSN 2077-1312 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top