A methodology for equitable performance assessment and presentation of wave energy converters based on sea trials

Kofoed, Jens Peter; Pecher, Arthur; Margheritini, Lucia; Antonishen, Michael Patrick; Bittencourt, Claudio; Holmes, Brian; Retzler, Chris; Berthelsen, Kasper Klitgaard; Crom, I. Le; Neumann, Franz‐Josef; Johnstone, C.; Mccombes, Tom; Myers, L.E.

doi:10.1016/j.renene.2012.10.040

Cited by 15 publications

(12 citation statements)

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“…Kofoed et al [8,9] provides a method for estimating the uncertainty in MAEP associated with device performance uncertainty, including for situations of limited data. The authors use standard methods for error propagation similar to Livermore and the authors mention that Monte Carlo simulation may be a more robust alternative.…”

Section: Measurementmentioning

confidence: 99%

Wave Energy Converter Annual Energy Production Uncertainty Using Simulations

Hiles¹,

Beatty²,

Andrés

2016

JMSE

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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.

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Section: Measurementmentioning

confidence: 99%

Wave Energy Converter Annual Energy Production Uncertainty Using Simulations

Hiles¹,

Beatty²,

Andrés

2016

JMSE

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“…Within equitable evaluation of marine energy converters, a methodology for equitable performance assessment and presentation of marine energy converters was developed [27]. This methodology was further enhanced and can be found in appended Paper A, B and D [28], [29]. 7…”

Section: Thesis Outlinementioning

confidence: 99%

“…A brief overview of the methodology on how to equitably assess the performance of wave energy converters based on sea trials will be given here. However, a more extended version can be found in the appended paper Assessment and Presentation of Wave Energy Converters Based on Sea Trials [29]. The paper is an elaboration of the EquiMar D4.2 protocol on Data Analysis & Presentation of Marine Energy Converters based on Sea trials [28].…”

Section: Performance Assessment Of Wecs Based On Sea Trials 51 Intromentioning

confidence: 99%

“…However, a more extended version can be found in the appended paper Assessment and Presentation of Wave Energy Converters Based on Sea Trials [29]. The paper is an elaboration of the EquiMar D4.2 protocol on Data Analysis & Presentation of Marine Energy Converters based on Sea trials [28]. This methodology has been applied to two assessment of [21], [23].…”

Section: Performance Assessment Of Wecs Based On Sea Trials 51 Intromentioning

confidence: 99%

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Performance Evaluation of Wave Energy Converters

Pecher

2013

Performance Evaluation of Wave Energy Converters

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Ocean waves provide a sustainable, power-dense, predictable and widely available source of energy that could provide about 10 % of worlds energy needs. While research into wave energy has been undertaken for decades, a significant increase in related activities has been seen in the recent years, with more than 150 concepts currently being developed worldwide. Wave energy conversion concepts can be of many kinds, as the energy in the waves can be absorbed in many different ways. However, each concept is expected to require a thorough development process, involving different phases and prototypes. Guidelines for the development of wave energy converters recommend the use of different prototypes, having different sizes, which have to perform tank tests or sea trials. This implicates the need of different testing environment, which shifts from being controllable to uncontrollable with the development stages, and results thereby in a need for specific test objectives and procedures for each development stage. This PhD thesis has looked into the different development stages and more specifically in the performance assessment of wave energy converters based on tank testing and sea trials. The objective was to enhance or complement existing standards and guidelines by making them more transparent, equitable and robust, in order to make power production estimation of fullscale commercial devices more accurate, more comparable between the different development stages and more coherent in between different concepts. Nº MCITN-215414) and administrated by the Wave Energy Centre. Most of all, I wish to thank my supervisor, Jens Peter Kofoed, for giving me the opportunity to perform this work and to have guided and helped me through the whole PhD process. His supervision and advices have made this a very great and learnful experience. Furthermore, I would like to express my gratitude to all the other colleagues at the Department of Civil Engineering that have helped me and made this such a pleasant journey, and in particular the administrative and laboratory staff such as Niels Drustrup, Peter Frigaard, Pernille Bisgaard Pedersen, Jonna Jensen and Anja Bloch. I would also like to acknowledge all the people with who I have collaborated during this research project. They have given me the chance to gain all the experience and knowledge, by trusting me (us) with these interesting projects. This research thesis would not have been the same without the collaboration with the team of the Wave Energy Centre, and especially Izan Le Crom and Frank Neumann, and the collaboration with Tommy Larsen from WEPTOS and the people behind Wave Dragon, WavePiston and Langlee. Finally, I would like to give my special thanks to my parents, my brothers, my girlfriend and all my great friends. Their motivation and continuous support have made this happen and more than enjoyable. I am really very grateful for all you have done for me.

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“…A condensed overview of a methodology to equitably assess the performance of wave energy converters based on sea trials will be presented here [22,23] and case studies of it can be found for the Pico OWC and the Wave Dragon WEC [24,25]. The "Equitable Performance Assessment and Presentation" methodology aims at assessing the performance of any device, based on sea trials, in a transparent and equitable way, resulting in an estimation of the mean annual energy production (MAEP) together with a corresponding accuracy.…”

Section: Introductionmentioning

confidence: 99%

Experimental Testing and Evaluation of WECs

Pecher

2016

Ocean Engineering &Amp; Oceanography

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A methodology for equitable performance assessment and presentation of wave energy converters based on sea trials

Cited by 15 publications

References 1 publication

Wave Energy Converter Annual Energy Production Uncertainty Using Simulations

Wave Energy Converter Annual Energy Production Uncertainty Using Simulations

Performance Evaluation of Wave Energy Converters

Experimental Testing and Evaluation of WECs

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