A dynamic stochastic hybrid model to represent significant wave height and wave period for marine energy representation

Humberto Verdejo*, Almendra Awerkin, Wolfgang Kliemann, Cristhian Becker, Héctor Chávez, Karina A. Barbosa, José Delpiano

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper presents a methodology to represent ocean wave power generation based on real data observation for significant wave height (SWH or H s ) and wave period (WP or T). This technique is based on a hybrid model, which considers Fourier series and stochastic differential equations, allowing a continuous time representation of the random changes in the parameters associated with wave power generation (H s and T). The methodology is explained, including estimation methods and a validation procedure. The data series generated by the models erre used to create simulated wave power output applying a transformed matrix and a theoretical model. The results validate the utilization of this technique, when the objective is to obtain a robust dynamic representation of a random process, oriented to linear studies.

Original languageEnglish
Article number887
JournalEnergies
Volume12
Issue number5
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
Acknowledgments: This research was financed by Project FONDECYT 1180685 (Comision Nacional de Investigacion Cientifica y Tecnologica Chile). J.D. thankfully acknowledges funding from Fondo de Ayuda a la Investigacion (FAI), Universidad de los Andes, under grant INV-IN-2017-05.

Funding Information:
This research was funded by FONDECYT grant number 1180685.

Publisher Copyright:
© 2019 by the authors.

Keywords

  • Continuous stochastic modeling
  • Short-term forecast
  • Wave power

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