An assessment of wind speed stochastic model for the UK

Arash M. Dizqah, Alireza Maheri, Krishna Busawon

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (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 languageEnglish
Title of host publication2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012
PublisherIEEE
Pages623-627
Number of pages5
ISBN (Electronic)978-1-4673-2911-8, 978-1-4673-2910-1
ISBN (Print)978-1-4673-2909-5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd International Symposium on Environment Friendly Energies and Applications - Newcastle upon Tyne, United Kingdom
Duration: 25 Jun 201227 Jun 2012

Conference

Conference2nd International Symposium on Environment Friendly Energies and Applications
Abbreviated titleEFEA 2012
CountryUnited Kingdom
CityNewcastle upon Tyne
Period25/06/1227/06/12

Fingerprint

Stochastic models
Energy resources
Controllers
Uncertainty

Keywords

  • Hybrid Renewable Energy System
  • Simulation
  • Stochastic Modelling
  • Uncertainty
  • Wind Speed

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Dizqah, A. M., 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 (pp. 623-627). [6294031] IEEE. https://doi.org/10.1109/EFEA.2012.6294031

An assessment of wind speed stochastic model for the UK. / Dizqah, Arash M.; Maheri, Alireza; Busawon, Krishna.

2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012. IEEE, 2012. p. 623-627 6294031.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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, IEEE, pp. 623-627, 2nd International Symposium on Environment Friendly Energies and Applications, Newcastle upon Tyne, United Kingdom, 25/06/12. https://doi.org/10.1109/EFEA.2012.6294031
Dizqah AM, Maheri A, Busawon K. An assessment of wind speed stochastic model for the UK. In 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012. IEEE. 2012. p. 623-627. 6294031 https://doi.org/10.1109/EFEA.2012.6294031
Dizqah, Arash M. ; Maheri, Alireza ; Busawon, Krishna. / An assessment of wind speed stochastic model for the UK. 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012. IEEE, 2012. pp. 623-627
@inproceedings{233892d9de474e2791b3c8ede6519eaa,
title = "An assessment of wind speed stochastic model for the UK",
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.",
keywords = "Hybrid Renewable Energy System, Simulation, Stochastic Modelling, Uncertainty, Wind Speed",
author = "Dizqah, {Arash M.} and Alireza Maheri and Krishna Busawon",
year = "2012",
doi = "10.1109/EFEA.2012.6294031",
language = "English",
isbn = "978-1-4673-2909-5",
pages = "623--627",
booktitle = "2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012",
publisher = "IEEE",

}

TY - GEN

T1 - An assessment of wind speed stochastic model for the UK

AU - Dizqah, Arash M.

AU - Maheri, Alireza

AU - Busawon, Krishna

PY - 2012

Y1 - 2012

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=84867520687&partnerID=8YFLogxK

U2 - 10.1109/EFEA.2012.6294031

DO - 10.1109/EFEA.2012.6294031

M3 - Conference proceeding

SN - 978-1-4673-2909-5

SP - 623

EP - 627

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

PB - IEEE

ER -