Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters

Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters

This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using statistical Weibull parameters. A measured 5-minute time series average wind speed over a period of 5 years (2005 - 2009) was obtained from the South African Weather Service (SAWS). The results show that the shape parameter (k) ranges from 1.319 in April 2006 to 2.107 in November 2009, while the scale parameter (c) varies from 3.983m/s in May 2008 to 7.390 in November 2009.The average wind power density is highest during Spring (September-October), 256.505W/m² and lowest during Autumn (April-May), 152.381W/m². This paper is relevant to a decision-making process on significant investment in a wind power project.

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Main Authors: Ayodele,Temitope R, Jimoh,Adisa A, Munda,Josiah L, Agee,John T
Format: Digital revista
Language:English
Published: The Department of Chemical Engineering of the University of Cape Town 2012
Online Access:http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S1021-447X2012000300003
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spelling oai:scielo:S1021-447X20120003000032015-05-15Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parametersAyodele,Temitope RJimoh,Adisa AMunda,Josiah LAgee,John T statistical analysis wind power density wind speed Weibull parameters Port Elizabeth This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using statistical Weibull parameters. A measured 5-minute time series average wind speed over a period of 5 years (2005 - 2009) was obtained from the South African Weather Service (SAWS). The results show that the shape parameter (k) ranges from 1.319 in April 2006 to 2.107 in November 2009, while the scale parameter (c) varies from 3.983m/s in May 2008 to 7.390 in November 2009.The average wind power density is highest during Spring (September-October), 256.505W/m² and lowest during Autumn (April-May), 152.381W/m². This paper is relevant to a decision-making process on significant investment in a wind power project.The Department of Chemical Engineering of the University of Cape Town Journal of Energy in Southern Africa v.23 n.2 20122012-01-01journal articletext/htmlhttp://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S1021-447X2012000300003en
institution SCIELO
collection OJS
country Sudáfrica
countrycode ZA
component Revista
access En linea
databasecode rev-scielo-za
tag revista
region África del Sur
libraryname SciELO
language English
format Digital
author Ayodele,Temitope R
Jimoh,Adisa A
Munda,Josiah L
Agee,John T
spellingShingle Ayodele,Temitope R
Jimoh,Adisa A
Munda,Josiah L
Agee,John T
Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
author_facet Ayodele,Temitope R
Jimoh,Adisa A
Munda,Josiah L
Agee,John T
author_sort Ayodele,Temitope R
title Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
title_short Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
title_full Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
title_fullStr Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
title_full_unstemmed Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters
title_sort statistical analysis of wind speed and wind power potential of port elizabeth using weibull parameters
description This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using statistical Weibull parameters. A measured 5-minute time series average wind speed over a period of 5 years (2005 - 2009) was obtained from the South African Weather Service (SAWS). The results show that the shape parameter (k) ranges from 1.319 in April 2006 to 2.107 in November 2009, while the scale parameter (c) varies from 3.983m/s in May 2008 to 7.390 in November 2009.The average wind power density is highest during Spring (September-October), 256.505W/m² and lowest during Autumn (April-May), 152.381W/m². This paper is relevant to a decision-making process on significant investment in a wind power project.
publisher The Department of Chemical Engineering of the University of Cape Town
publishDate 2012
url http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S1021-447X2012000300003
work_keys_str_mv AT ayodeletemitoper statisticalanalysisofwindspeedandwindpowerpotentialofportelizabethusingweibullparameters
AT jimohadisaa statisticalanalysisofwindspeedandwindpowerpotentialofportelizabethusingweibullparameters
AT mundajosiahl statisticalanalysisofwindspeedandwindpowerpotentialofportelizabethusingweibullparameters
AT ageejohnt statisticalanalysisofwindspeedandwindpowerpotentialofportelizabethusingweibullparameters
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