An assessment of wind speed stochastic model for the UK

Arash M. Dizqah; Alireza Maheri; Krishna Busawon

doi:10.1109/EFEA.2012.6294031

An assessment of wind speed stochastic model for the UK

Arash M. Dizqah^*, Alireza Maheri, Krishna Busawon

^*Corresponding author for this work

Engineering

Northumbria University

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

2 Citations (Scopus)

Abstract

Hybrid Renewable Energy System (HRES) can effectively supply sustainable electrical energy in standalone remote areas. However, in order to design a reliable site and a robust controller, uncertainties in sustainable energy resources need to be modeled properly. This paper proposes a stochastic model of hourly wind speed for four locations across the UK. The goodness-of-fit of the proposed model has been evaluated using the Kolmogorov-Smirnov (K-S) test. The proposed model has been employed to simulate the amount of hourly wind speed for a location in the UK.

Original language	English
Title of host publication	2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012
Pages	623-627
Number of pages	5
DOIs	https://doi.org/10.1109/EFEA.2012.6294031
Publication status	Published - 2012
Event	2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012 - Newcastle upon Tyne, United Kingdom Duration: 25 Jun 2012 → 27 Jun 2012

Conference

Conference	2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012
Country/Territory	United Kingdom
City	Newcastle upon Tyne
Period	25/06/12 → 27/06/12

Keywords

Hybrid Renewable Energy System
Simulation
Stochastic Modelling
Uncertainty
Wind Speed

UN SDGs

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

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Cite this

Dizqah, AM, Maheri, A & Busawon, K 2012, An assessment of wind speed stochastic model for the UK. in 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012., 6294031, pp. 623-627, 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012, Newcastle upon Tyne, United Kingdom, 25/06/12. https://doi.org/10.1109/EFEA.2012.6294031

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abstract = "Hybrid Renewable Energy System (HRES) can effectively supply sustainable electrical energy in standalone remote areas. However, in order to design a reliable site and a robust controller, uncertainties in sustainable energy resources need to be modeled properly. This paper proposes a stochastic model of hourly wind speed for four locations across the UK. The goodness-of-fit of the proposed model has been evaluated using the Kolmogorov-Smirnov (K-S) test. The proposed model has been employed to simulate the amount of hourly wind speed for a location in the UK.",

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AB - Hybrid Renewable Energy System (HRES) can effectively supply sustainable electrical energy in standalone remote areas. However, in order to design a reliable site and a robust controller, uncertainties in sustainable energy resources need to be modeled properly. This paper proposes a stochastic model of hourly wind speed for four locations across the UK. The goodness-of-fit of the proposed model has been evaluated using the Kolmogorov-Smirnov (K-S) test. The proposed model has been employed to simulate the amount of hourly wind speed for a location in the UK.

KW - Hybrid Renewable Energy System

KW - Simulation

KW - Stochastic Modelling

KW - Uncertainty

KW - Wind Speed

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M3 - Published conference contribution

AN - SCOPUS:84867520687

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EP - 627

BT - 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012

T2 - 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012

Y2 - 25 June 2012 through 27 June 2012

ER -

An assessment of wind speed stochastic model for the UK

Abstract

Conference

Keywords

UN SDGs

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