Most of the research on wave energy conversion
has been focused on the characterization of the
dynamic behavior of arrays of uncontrolled WECs in
specific configurations, in order to quantify changes
in the wave fields and absorbed power without active
control. To maximize wave energy conversion, however,
it is necessary...
This work addresses the application of Nonlinear Model Predictive Control (NMPC) to a class of ocean wave energy conversion systems in which the cost functional is not in a standard quadratic form, and the WEC model includes the nonlinear effects, such as the hydrodynamic viscous drag. The NMPC implementation is...
Forecasting of ocean waves over a short duration on the order of tens of seconds was approached with the optimization of wave energy conversion in mind. This study outlines the development of an artificial neural network model, specifically the Nonlinear Autoregressive Network with Exogenous Input (NARX), to predict a wave-by-wave...
Generating abundant, renewable energy from Earth’s oceans is an attractive option for meeting increasing energy demand. Marine renewable energy also comes with the variability of renewable sources, which impact the reliability and power quality of the electrical grid. On a transmission-level, this dissertation looks at ensuring reliability of the power...
Known as the fourth industrial revolution, digitization is an ongoing trend in all fields, in which various industries are integrating information technologies to support and improve their businesses. Nuclear technology industries have also increased their interest in data-driven methods by leveraging the potential of pattern recognition to identify anomalies and...
Wind power forecasting provides valuable insights for demand response, energy market operation, and plant control optimization. Probabilistic approaches—which capture uncertainty in these complex systems by representing predictions as probability distributions—represent a growing area of research in wind energy science. However, their applications for wind-based hybrid systems, particularly those focused on...
A wave-by-wave forecasting system is desired for optimization of wave energy conversion devices and for improving safety of vessel-based marine operations. This study outlines the first validation attempts of a recently developed forecasting system called Wavecast. The forecasting approach uses X-Band marine radar images for data assimilation, then reconstructs and...
Ocean wave energy has the potential to significantly
contribute to sustainable power generation in coastal regions.
Much of the research effort has gone into developing time domain
state space models of point absorber wave energy converters
(WECs) and subsequently into model-based optimal control to
efficiently harvest the maximum possible amount...
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce the amount of energy that their data centers consume. They are calling for the development of...
Model Predictive Control (MPC) has previously been investigated on ocean waveenergy converters (WEC) to improve the amount of power captured, while respectingthe system constraints. Previous research done in the same area, focused onbuilding a control scheme by using the knowledge of the past & current statesof the system and predicting...