WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA

In this paper, the wind power potentials as well as wind speed characteristics of four selected locations in the North-Central (Ilorin and Makurdi) and North-East (Gombe and Maiduguri) parts of Nigeria are investigated. The data used are obtained from Nigeria Meteorological Agency (NIMET) between t...

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Autores principales:	MUSEDIQ ADEDOYIN SULAIMAN, IGNATIUS KEMA OKAKWU, AKINTUNDE SAMSON ALAYANDE, OLAKUNLE ELIJAH OLABODE, AUGUSTUS EHIREMEN IBHAZE
Formato:	article
Lenguaje:	EN
Publicado:	Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2020
Materias:	wind speed, weibull-distribution function, turbine, capacity factor, wind power density Technology T Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/e32efb3914dd4dd0bd954e9b5f6f598a
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spelling	oai:doaj.org-article:e32efb3914dd4dd0bd954e9b5f6f598a2021-12-02T19:52:49ZWIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA10.29081/jesr.v26i2.1702068-75592344-4932https://doaj.org/article/e32efb3914dd4dd0bd954e9b5f6f598a2020-06-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/170https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 In this paper, the wind power potentials as well as wind speed characteristics of four selected locations in the North-Central (Ilorin and Makurdi) and North-East (Gombe and Maiduguri) parts of Nigeria are investigated. The data used are obtained from Nigeria Meteorological Agency (NIMET) between the durations of 11 and 54 years, measured at an anemometer height of 10m. The analysis of the data is carried out using a two-parameter Weibull Distribution Function (WDF). The most probable wind-speed and the wind-speed carrying the maximum energy were also evaluated. The capacity factor estimation is then used to identify the most suitable turbine for the sites. The results obtained show a monthly mean wind-speed of 4.50 m/s, 3.72 m/s, 4.77 m/s and 5.34 m/s for Ilorin, Gombe, Makurdi and Maiduguri respectively, while the wind-power densities were 67.74 W/m2, 40.87 W/m2, 79.52 W/m2 and 107.49 W/m2 respectively for the same sites. MUSEDIQ ADEDOYIN SULAIMANIGNATIUS KEMA OKAKWUAKINTUNDE SAMSON ALAYANDEOLAKUNLE ELIJAH OLABODEAUGUSTUS EHIREMEN IBHAZEAlma Mater Publishing House "Vasile Alecsandri" University of Bacauarticlewind speed, weibull-distribution function, turbine, capacity factor, wind power densityTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 26, Iss 2 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind speed, weibull-distribution function, turbine, capacity factor, wind power density Technology T Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	wind speed, weibull-distribution function, turbine, capacity factor, wind power density Technology T Engineering (General). Civil engineering (General) TA1-2040 MUSEDIQ ADEDOYIN SULAIMAN IGNATIUS KEMA OKAKWU AKINTUNDE SAMSON ALAYANDE OLAKUNLE ELIJAH OLABODE AUGUSTUS EHIREMEN IBHAZE WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
description	In this paper, the wind power potentials as well as wind speed characteristics of four selected locations in the North-Central (Ilorin and Makurdi) and North-East (Gombe and Maiduguri) parts of Nigeria are investigated. The data used are obtained from Nigeria Meteorological Agency (NIMET) between the durations of 11 and 54 years, measured at an anemometer height of 10m. The analysis of the data is carried out using a two-parameter Weibull Distribution Function (WDF). The most probable wind-speed and the wind-speed carrying the maximum energy were also evaluated. The capacity factor estimation is then used to identify the most suitable turbine for the sites. The results obtained show a monthly mean wind-speed of 4.50 m/s, 3.72 m/s, 4.77 m/s and 5.34 m/s for Ilorin, Gombe, Makurdi and Maiduguri respectively, while the wind-power densities were 67.74 W/m2, 40.87 W/m2, 79.52 W/m2 and 107.49 W/m2 respectively for the same sites.
format	article
author	MUSEDIQ ADEDOYIN SULAIMAN IGNATIUS KEMA OKAKWU AKINTUNDE SAMSON ALAYANDE OLAKUNLE ELIJAH OLABODE AUGUSTUS EHIREMEN IBHAZE
author_facet	MUSEDIQ ADEDOYIN SULAIMAN IGNATIUS KEMA OKAKWU AKINTUNDE SAMSON ALAYANDE OLAKUNLE ELIJAH OLABODE AUGUSTUS EHIREMEN IBHAZE
author_sort	MUSEDIQ ADEDOYIN SULAIMAN
title	WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
title_short	WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
title_full	WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
title_fullStr	WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
title_full_unstemmed	WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA
title_sort	wind energy evaluation and turbine identification for power generation in some selected areas in nigeria
publisher	Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
publishDate	2020
url	https://doaj.org/article/e32efb3914dd4dd0bd954e9b5f6f598a
work_keys_str_mv	AT musediqadedoyinsulaiman windenergyevaluationandturbineidentificationforpowergenerationinsomeselectedareasinnigeria AT ignatiuskemaokakwu windenergyevaluationandturbineidentificationforpowergenerationinsomeselectedareasinnigeria AT akintundesamsonalayande windenergyevaluationandturbineidentificationforpowergenerationinsomeselectedareasinnigeria AT olakunleelijaholabode windenergyevaluationandturbineidentificationforpowergenerationinsomeselectedareasinnigeria AT augustusehiremenibhaze windenergyevaluationandturbineidentificationforpowergenerationinsomeselectedareasinnigeria
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WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA

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