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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

4 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

Publisher Copyright:
© 2019 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

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

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