Will oscillating wave surge converters survive tsunamis?

O’Brien, Laura; Christodoulides, Paul; Renzi, Emiliano; Stefanakis, Themistoklis; Dias, Frédéric

doi:10.1016/j.taml.2015.05.008

Cited by 11 publications

(6 citation statements)

References 21 publications

(30 reference statements)

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“…2 ), and, consequently, damage or destroy WECs. Ireland has a long history of extreme waves [ 83 ]. values of over 15 m are regularly recorded by the Irish Marine Buoy Network, by buoys located off the west coast of Ireland.…”

Section: Wave Climate Assessment For Wave Energy Systems Off the Coasmentioning

confidence: 99%

Analytical and computational modelling for wave energy systems: the example of oscillating wave surge converters

et al. 2017

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The development of new wave energy converters has shed light on a number of unanswered questions in fluid mechanics, but has also identified a number of new issues of importance for their future deployment. The main concerns relevant to the practical use of wave energy converters are sustainability, survivability, and maintainability. Of course, it is also necessary to maximize the capture per unit area of the structure as well as to minimize the cost. In this review, we consider some of the questions related to the topics of sustainability, survivability, and maintenance access, with respect to sea conditions, for generic wave energy converters with an emphasis on the oscillating wave surge converter. New analytical models that have been developed are a topic of particular discussion. It is also shown how existing numerical models have been pushed to their limits to provide answers to open questions relating to the operation and characteristics of wave energy converters.

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Section: Wave Climate Assessment For Wave Energy Systems Off the Coasmentioning

confidence: 99%

Analytical and computational modelling for wave energy systems: the example of oscillating wave surge converters

et al. 2017

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“…As VOLNA-OP2 delivered a qualitative leap in terms of possible uses due to the high performance it can deliver on a variety of hardware architectures, its users have started integrating it into a wide variety of workflows; one of the key uses is for uncertainty quantification; for the stochastic inversion problem of the 2004 Sumatra tsunami in Gopinathan et al (2017), for developing Gaussian process emulators which help reduce the number of simulation runs in Beck and Guillas (2016); Liu and Guillas (2017), applications of stochastic emulators to a submarine slide at the Rockall Bank in Salmanidou et al (2017), a study of run-up behind islands in Stefanakis et al (2014), the durability of oscillating wave surge converters when hit by tsunamis in O'Brien et al (2015), tsunamis in the St. Lawrence estuary in Poncet et al (2010), a study of the generation and inundation phases of tsunamis in Dias et al (2014), and others.…”

Section: Op2 Bymentioning

confidence: 99%

Response to reviewers' comments

Reguly¹

2018

Preprint

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In this paper, we present the VOLNA-OP2 tsunami model and implementation; a finite volume non-linear shallow water equations (NSWE) solver built on the OP2 domain specific language (DSL) for unstructured mesh computations. VOLNA-OP2 is unique among tsunami solvers in its support for several high performance computing platforms: CPUs, the Intel Xeon Phi, and GPUs. This is achieved in a way that the scientific code is kept separate from various parallel implementations, enabling easy maintainability. It has already been used in production for several years, here we discuss how it can be integrated into various workflows, such as a statistical emulator. The scalability of the code is demonstrated on three supercomputers, built with classical Xeon CPUs, the Intel Xeon Phi, and NVIDIA P100 GPUs. VOLNA-OP2 shows an ability to deliver productivity to its users, as well as performance and portability across a number of platforms.

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“…There were no wave energy converters or current turbines installed at the time of the 11 March 2011 Japan tsunami, but there is some information available about offshore wind turbines, which seem to have survived the tsunami. Until now, there was no interest in the behaviour of tsunamis a few hundreds of metres from the shoreline [64]. This will change in the future.…”

Section: Wave Breaking Induced Currents Transport Of Debrismentioning

confidence: 99%

New computational methods in tsunami science

Behrens¹,

Dias

2015

Phil. Trans. R. Soc. A.

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Tsunamis are rare events with severe consequences. This generates a high demand on accurate simulation results for planning and risk assessment purposes because of the low availability of actual data from historic events. On the other hand, validation of simulation tools becomes very difficult with such a low amount of real-world data. Tsunami phenomena involve a large span of spatial and temporal scales-from ocean basin scales of [Formula: see text] to local coastal wave interactions of [Formula: see text] or even [Formula: see text], or from resonating wave phenomena with durations of [Formula: see text] to rupture with time periods of [Formula: see text]. The scale gap of five orders of magnitude in each dimension makes accurate modelling very demanding, with a number of approaches being taken to work around the impossibility of direct numerical simulations. Along with the mentioned multi-scale characteristic, the tsunami wave has a multitude of different phases, corresponding to different wave regimes and associated equation sets. While in the deep ocean, wave propagation can be approximated relatively accurately by linear shallow-water theory, the transition to a bore or solitary wave train in shelf areas and then into a breaking wave in coastal regions demands appropriate mathematical and numerical treatments. The short duration and unpredictability of tsunami events pose another challenging requirement to tsunami simulation approaches. An accurate forecast is sought within seconds with very limited data available. Thus, efficiency in numerical solution processes and at the same time the consideration of uncertainty play a big role in tsunami modelling applied for forecasting purposes.

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Will oscillating wave surge converters survive tsunamis?

Cited by 11 publications

References 21 publications

Analytical and computational modelling for wave energy systems: the example of oscillating wave surge converters

Analytical and computational modelling for wave energy systems: the example of oscillating wave surge converters

Response to reviewers' comments

New computational methods in tsunami science

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