An assessment of wind speed stochastic model for the UK

Arash Dizqah; Alireza Maheri; Krishna Busawon

doi:10.1109/EFEA.2012.6294031

An assessment of wind speed stochastic model for the UK

Arash Dizqah, Alireza Maheri, Krishna Busawon

Northumbria University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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	Proceedings of the 2012 2nd International Symposium On Environment Friendly Energies And Applications
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	623-627
ISBN (Print)	978-1467329095
DOIs	https://doi.org/10.1109/EFEA.2012.6294031
Publication status	Published - 2012
Event	EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications - Northumbria University, Newcastle upon Tyne, UK Duration: 27 Jun 2012 → …

Conference

Conference	EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications
Period	27/06/12 → …

Keywords

hybrid renewable energy system
simulation
solar irradiation
stocastic modeling
uncertainty

UN SDGs

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

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10.1109/EFEA.2012.6294031

Cite this

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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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author = "Arash Dizqah and Alireza Maheri and Krishna Busawon",

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Dizqah, A, Maheri, A & Busawon, K 2012, An assessment of wind speed stochastic model for the UK. in Proceedings of the 2012 2nd International Symposium On Environment Friendly Energies And Applications. IEEE, Piscataway, NJ, pp. 623-627, EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications, 27/06/12. https://doi.org/10.1109/EFEA.2012.6294031

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AU - Maheri, Alireza

AU - Busawon, Krishna

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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 - solar irradiation

KW - stocastic modeling

KW - uncertainty

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BT - Proceedings of the 2012 2nd International Symposium On Environment Friendly Energies And Applications

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

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ER -

An assessment of wind speed stochastic model for the UK

Abstract

Conference

Keywords

UN SDGs

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