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

doi:10.3390/en12050887

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 journal › Article › peer-review

5 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 language	English
Article number	887
Journal	Energies
Volume	12
Issue number	5
DOIs	https://doi.org/10.3390/en12050887
State	Published - 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.

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 14 Life Below Water

Keywords

Continuous stochastic modeling
Short-term forecast
Wave power

Access to Document

10.3390/en12050887

Cite this

@article{039f6501553a476f9bfa2935f47179ed,

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

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. ",

keywords = "Continuous stochastic modeling, Short-term forecast, Wave power",

author = "Humberto Verdejo and Almendra Awerkin and Wolfgang Kliemann and Cristhian Becker and H{\'e}ctor Ch{\'a}vez and Barbosa, \{Karina A.\} and Jos{\'e} Delpiano",

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: {\textcopyright} 2019 by the authors.",

year = "2019",

doi = "10.3390/en12050887",

language = "English",

volume = "12",

journal = "Energies",

issn = "1996-1073",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "5",

}

TY - JOUR

T1 - A dynamic stochastic hybrid model to represent significant wave height and wave period for marine energy representation

AU - Verdejo, Humberto

AU - Awerkin, Almendra

AU - Kliemann, Wolfgang

AU - Becker, Cristhian

AU - Chávez, Héctor

AU - Barbosa, Karina A.

AU - Delpiano, José

N1 - 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.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Continuous stochastic modeling

KW - Short-term forecast

KW - Wave power

UR - https://www.scopus.com/pages/publications/85062663917

U2 - 10.3390/en12050887

DO - 10.3390/en12050887

M3 - Article

AN - SCOPUS:85062663917

SN - 1996-1073

VL - 12

JO - Energies

JF - Energies

IS - 5

M1 - 887

ER -

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

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this