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J. Mar. Sci. Eng. 2016, 4(3), 53; doi:10.3390/jmse4030053

Wave Energy Converter Annual Energy Production Uncertainty Using Simulations

1
Cascadia Coast Research Ltd., Victoria, BC V8W 1H9, Canada
2
The University of Edinburgh, Edinburgh EH9 3JL, Scotland
*
Author to whom correspondence should be addressed.
Academic Editor: Raúl Guanche García
Received: 29 June 2016 / Revised: 3 August 2016 / Accepted: 15 August 2016 / Published: 2 September 2016
(This article belongs to the Special Issue Ocean Wave Energy Conversion)
View Full-Text   |   Download PDF [1792 KB, uploaded 2 September 2016]   |  

Abstract

Critical to evaluating the economic viability of a wave energy project is: (1) a robust estimate of the electricity production throughout the project lifetime and (2) an understanding of the uncertainty associated with said estimate. Standardization efforts have established mean annual energy production (MAEP) as the metric for quantification of wave energy converter (WEC) electricity production and the performance matrix approach as the appropriate method for calculation. General acceptance of a method for calculating the MAEP uncertainty has not yet been achieved. Several authors have proposed methods based on the standard engineering approach to error propagation, however, a lack of available WEC deployment data has restricted testing of these methods. In this work the magnitude and sensitivity of MAEP uncertainty is investigated. The analysis is driven by data from simulated deployments of 2 WECs of different operating principle at 4 different locations. A Monte Carlo simulation approach is proposed for calculating the variability of MAEP estimates and is used to explore the sensitivity of the calculation. The uncertainty of MAEP ranged from 2%–20% of the mean value. Of the contributing uncertainties studied, the variability in the wave climate was found responsible for most of the uncertainty in MAEP. Uncertainty in MAEP differs considerably between WEC types and between deployment locations and is sensitive to the length of the input data-sets. This implies that if a certain maximum level of uncertainty in MAEP is targeted, the minimum required lengths of the input data-sets will be different for every WEC-location combination. View Full-Text
Keywords: wave energy; performance assessment; mean annual energy production; uncertainty analysis; Monte Carlo simulation wave energy; performance assessment; mean annual energy production; uncertainty analysis; Monte Carlo simulation
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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).

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Hiles, C.E.; Beatty, S.J.; de Andres, A. Wave Energy Converter Annual Energy Production Uncertainty Using Simulations. J. Mar. Sci. Eng. 2016, 4, 53.

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