John V. Ringwood

TL;DR: In this paper, a wave energy has been shown to have some favorable variability properties (a perennial issue with many renewables, especially wind), especially when combined with wind energy, and wave energy can be used to fulfill future increasing energy needs.

TL;DR: In this paper, the wave elevation is treated as a time series and it is predicted only from its past history, and a comparison of a range of forecasting methodologies on real wave observations from two different locations shows how the relatively simple linear autoregressive model, which implicitly models the cyclical behavior of waves, can offer very accurate predictions of swell waves for up to two wave periods into the future.

TL;DR: In this paper, an analysis of the raw wind and wave resource at certain locations around the coasts of Ireland shows how they are very low correlated on the South and West Coast, where the waves are dominated by the presence of high energy swells generated by remote westerly wind systems.

TL;DR: In this article, different approaches to model nonlinear wave-device interaction are presented, highlighting their advantages and drawbacks, as well as new methods such as system-identification models, smoothed particle hydrodynamics or nonlinear potential flow methods.

TL;DR: This paper attempts to provide a critical comparison of the various WEC MPC algorithms, while also presenting WECMPC algorithms within the broader context of other WEC “optimal” control schemes.