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

Research output: Contribution to journalArticlepeer-review

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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