Stochastic modeling of long-term and extreme value estimation of wind and sea conditions for probabilistic reliability assessments of wave energy devices

Ambühl, Simon; Kofoed, Jens Peter; Sørensen, John Dalsgaard

doi:10.1016/j.oceaneng.2014.08.010

Cited by 12 publications

(5 citation statements)

References 22 publications

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“…Figure 11 shows the predicted (blue line) and measured (red line) capture factor for the power absorption test and for each WEC when panchromatic waves are considered. The first is obtained through Equation (20) and the second through Equation (17). Figure 10 shows the predicted (blue line) and measured (red line) capture factor for the power absorption test and for each WEC when monochromatic waves are considered.…”

Section: Power Absorption Testmentioning

confidence: 99%

Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool

2017

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This paper uses experimental data to validate a wave energy converter (WEC) array hydrodynamics tool developed within the context of linearized potential flow theory. To this end, wave forces and power absorption by an array of five-point absorber WECs in monochromatic and panchromatic waves were measured from a set of deep-water wave basin experimental tests. Unlike the few other examples of WEC array experimental campaigns, the power take-off (PTO) system of each WEC was simulated by means of advanced equipment capable of accurately reproducing linear control strategies and, thereby, reducing the uncertainty in the physical model. Experimental measurements are then compared with numerical predictions showing reasonable agreement; the measured trends are, in the same way, well captured by the numerical predictions. Further analysis demonstrates that the developed tool can predict, on the safe side, wave forces and power absorption with less than 17.5% and 23.0% error, respectively, for more than 68% of the predictions.

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Section: Power Absorption Testmentioning

confidence: 99%

Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool

2017

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“…ISO and IEC provide similar safety factors as API. In other works like [37][38][39][40], the topic of reliability assessment of WECs is treated with detailed work on calibration of safety factors, estimation of extreme values and reliability assessment approaches.…”

Section: Design Criteriamentioning

confidence: 99%

Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters

et al. 2018

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Abstract:The increasing desire for using renewable energy sources throughout the world has resulted in a considerable amount of research into and development of concepts for wave energy converters. By now, many different concepts exist, but still, the wave energy sector is not at a stage that is considered commercial yet, primarily due to the relatively high cost of energy. A considerable amount of the wave energy converters are floating structures, which consequently need mooring systems in order to ensure station keeping. Despite being a well-known concept, mooring in wave energy application has proven to be expensive and has a high rate of failure. Therefore, there is a need for further improvement, investigation into new concepts and sophistication of design procedures. This study uses four Danish wave energy converters, all considered as large floating structures, to investigate a methodology in order to find an inexpensive and reliable mooring solution for each device. The study uses a surrogate-based optimization routine in order to find a feasible solution in only a limited number of evaluations and a constructed cost database for determination of the mooring cost. Based on the outcome, the mooring parameters influencing the cost are identified and the optimum solution determined.

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“…To date, within the realm of wave energy conversion, the literature on robust optimization has predominantly focused on the development of robust control frameworks [10][11][12][13][14][15][16][17]. Furthermore, concerning the study of wave energy and WEC uncertainties, the existing literature primarily covers environmental [18][19][20][21][22] and full/high-scale prototyping or experimental uncertainties and subsystems' influence on performance [23][24][25][26][27][28][29]. The neighboring Reliability-Based Design Optimization (RBDO) field of research directs its attention to WEC structural and maintenance cost uncertainties [30] (in which the so-called Wavestar device is considered as a case study) and the power take-off (PTO) reliability relationship with hull geometry [31].…”

Section: Introductionmentioning

confidence: 99%

Measuring the Robustness of Optimal Design Solutions for Wave Energy Converters via a Stochastic Approach

Giorcelli,

Sirigu,

Giorgi

et al. 2024

JMSE

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Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A viable solution to increase the available renewable energy mix involves tapping into the potential available in ocean waves and harvesting it via so-called wave energy converters (WECs). In this context, a relevant engineering problem relates to finding WEC design solutions that are not only optimal in terms of energy extraction but also exhibit robust behavior in spite of the harsh marine environment. Indeed, the vast majority of design optimization studies available in the state-of-the-art consider only perfect knowledge of nominal (idealized) conditions, neglecting the impact of uncertainties. This study aims to investigate the information that different robustness metrics can provide to designers regarding optimal WEC design solutions under uncertainty. The applied methodology is based on stochastic uncertainty propagation via a Monte Carlo simulation, exploiting a meta-model to reduce the computational burden. The analysis is conducted over a dataset obtained with a genetic algorithm-based optimization process for nominal WEC design. The results reveal a significant deviation in terms of robustness between the nominal Pareto set and those generated by setting different thresholds for robustness metrics, as well as between devices belonging to the same nominal Pareto frontier. This study elucidates the intrinsic need for incorporating robust optimization processes in WEC design.

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Stochastic modeling of long-term and extreme value estimation of wind and sea conditions for probabilistic reliability assessments of wave energy devices

Cited by 12 publications

References 22 publications

Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool

Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool

Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters

Measuring the Robustness of Optimal Design Solutions for Wave Energy Converters via a Stochastic Approach

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