Analysis of wave energy parameters based on copula functions

Chukwuemeka Ejoh, Srinivas Sriramula

Research output: Contribution to conferencePaper

Abstract

The amount of available wave energy at a particular location is one of the most significant variables influencing the installation choice of these turbine facilities. It is widely accepted that the available wave energy is highly uncertain and depends on the significant wave height and the zero-crossing period variations, which in turn are randomly varying. By simulating the variations in significant wave height and the zero-crossing period in terms of appropriate probability distribution models with accurate dependency considerations, it is possible to study the randomness in the corresponding wave energy output. Conventional approaches of simulation with multivariate probability distribution models require the univariate marginals to be from the same class or impose a restriction on the statistical dependence by the distribution parameters. This has led researchers to look at the alternative and efficient simulation strategies. This paper will show why copula based simulation is a better alternative than the traditional linear correlation based simulation by analysing wave energy parameters. © 2012 Taylor & Francis Group
Original languageEnglish
Publication statusPublished - Sep 2011
EventEuropean Safety and Reliability Association (ESREL) Conference - Troyes, France
Duration: 18 Sep 2011 → …

Conference

ConferenceEuropean Safety and Reliability Association (ESREL) Conference
CountryFrance
CityTroyes
Period18/09/11 → …

Fingerprint

Probability distributions
Turbines

Cite this

Ejoh, C., & Sriramula, S. (2011). Analysis of wave energy parameters based on copula functions. Paper presented at European Safety and Reliability Association (ESREL) Conference, Troyes, France.

Analysis of wave energy parameters based on copula functions. / Ejoh, Chukwuemeka; Sriramula, Srinivas.

2011. Paper presented at European Safety and Reliability Association (ESREL) Conference, Troyes, France.

Research output: Contribution to conferencePaper

Ejoh, C & Sriramula, S 2011, 'Analysis of wave energy parameters based on copula functions', Paper presented at European Safety and Reliability Association (ESREL) Conference, Troyes, France, 18/09/11.
Ejoh C, Sriramula S. Analysis of wave energy parameters based on copula functions. 2011. Paper presented at European Safety and Reliability Association (ESREL) Conference, Troyes, France.
Ejoh, Chukwuemeka ; Sriramula, Srinivas. / Analysis of wave energy parameters based on copula functions. Paper presented at European Safety and Reliability Association (ESREL) Conference, Troyes, France.
@conference{acebc381a6b848fcaa2c9baf40a55c82,
title = "Analysis of wave energy parameters based on copula functions",
abstract = "The amount of available wave energy at a particular location is one of the most significant variables influencing the installation choice of these turbine facilities. It is widely accepted that the available wave energy is highly uncertain and depends on the significant wave height and the zero-crossing period variations, which in turn are randomly varying. By simulating the variations in significant wave height and the zero-crossing period in terms of appropriate probability distribution models with accurate dependency considerations, it is possible to study the randomness in the corresponding wave energy output. Conventional approaches of simulation with multivariate probability distribution models require the univariate marginals to be from the same class or impose a restriction on the statistical dependence by the distribution parameters. This has led researchers to look at the alternative and efficient simulation strategies. This paper will show why copula based simulation is a better alternative than the traditional linear correlation based simulation by analysing wave energy parameters. {\circledC} 2012 Taylor & Francis Group",
author = "Chukwuemeka Ejoh and Srinivas Sriramula",
year = "2011",
month = "9",
language = "English",
note = "European Safety and Reliability Association (ESREL) Conference ; Conference date: 18-09-2011",

}

TY - CONF

T1 - Analysis of wave energy parameters based on copula functions

AU - Ejoh, Chukwuemeka

AU - Sriramula, Srinivas

PY - 2011/9

Y1 - 2011/9

N2 - The amount of available wave energy at a particular location is one of the most significant variables influencing the installation choice of these turbine facilities. It is widely accepted that the available wave energy is highly uncertain and depends on the significant wave height and the zero-crossing period variations, which in turn are randomly varying. By simulating the variations in significant wave height and the zero-crossing period in terms of appropriate probability distribution models with accurate dependency considerations, it is possible to study the randomness in the corresponding wave energy output. Conventional approaches of simulation with multivariate probability distribution models require the univariate marginals to be from the same class or impose a restriction on the statistical dependence by the distribution parameters. This has led researchers to look at the alternative and efficient simulation strategies. This paper will show why copula based simulation is a better alternative than the traditional linear correlation based simulation by analysing wave energy parameters. © 2012 Taylor & Francis Group

AB - The amount of available wave energy at a particular location is one of the most significant variables influencing the installation choice of these turbine facilities. It is widely accepted that the available wave energy is highly uncertain and depends on the significant wave height and the zero-crossing period variations, which in turn are randomly varying. By simulating the variations in significant wave height and the zero-crossing period in terms of appropriate probability distribution models with accurate dependency considerations, it is possible to study the randomness in the corresponding wave energy output. Conventional approaches of simulation with multivariate probability distribution models require the univariate marginals to be from the same class or impose a restriction on the statistical dependence by the distribution parameters. This has led researchers to look at the alternative and efficient simulation strategies. This paper will show why copula based simulation is a better alternative than the traditional linear correlation based simulation by analysing wave energy parameters. © 2012 Taylor & Francis Group

M3 - Paper

ER -