Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania

This study aimed to compare the graphical method (GM) and standard deviation method (SDM), based on analyses and efficient Weibull parameters by estimating future wind energy potential in the coastline region of Dar es Salaam, Tanzania. Hence, the conclusion from the numerical method comparisons wil...

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Autores principales:	Michael Enock, Tjahjana Dominicus Danardono Dwi Prija, Prabowo Aditya Rio
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	weibull parameters numerical methods wind energy potential statistical analysis Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/f16c28461ab448929492625e4dde1e14
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spelling	oai:doaj.org-article:f16c28461ab448929492625e4dde1e142021-12-05T14:10:47ZEstimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania2391-543910.1515/eng-2021-0108https://doaj.org/article/f16c28461ab448929492625e4dde1e142021-11-01T00:00:00Zhttps://doi.org/10.1515/eng-2021-0108https://doaj.org/toc/2391-5439This study aimed to compare the graphical method (GM) and standard deviation method (SDM), based on analyses and efficient Weibull parameters by estimating future wind energy potential in the coastline region of Dar es Salaam, Tanzania. Hence, the conclusion from the numerical method comparisons will also determine suitable wind turbines that are cost-effective for the study location. The wind speed data for this study were collected by the Tanzania Meteorological Authority Dar es Salaam station over the period of 2017 to 2019. The two numerical methods introduced in this study were both found to be appropriate for Weibull distribution parameter estimation in the study area. However, the SDM gave a higher value of the Weibull parameter estimation than the GM. Furthermore, the five selected commercial wind turbine models that were simulated in terms of performance were based on a capacity factor using the SDM and were both over 25% the recommended capacity factor value. The Polaris P50-500 commercial wind turbine is recommend as a suitable wind turbine to be installed in the study area due to its maximum annual capacity factor value over 3 years.Michael EnockTjahjana Dominicus Danardono Dwi PrijaPrabowo Aditya RioDe Gruyterarticleweibull parametersnumerical methodswind energy potentialstatistical analysisEngineering (General). Civil engineering (General)TA1-2040ENOpen Engineering, Vol 11, Iss 1, Pp 1093-1104 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	weibull parameters numerical methods wind energy potential statistical analysis Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	weibull parameters numerical methods wind energy potential statistical analysis Engineering (General). Civil engineering (General) TA1-2040 Michael Enock Tjahjana Dominicus Danardono Dwi Prija Prabowo Aditya Rio Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
description	This study aimed to compare the graphical method (GM) and standard deviation method (SDM), based on analyses and efficient Weibull parameters by estimating future wind energy potential in the coastline region of Dar es Salaam, Tanzania. Hence, the conclusion from the numerical method comparisons will also determine suitable wind turbines that are cost-effective for the study location. The wind speed data for this study were collected by the Tanzania Meteorological Authority Dar es Salaam station over the period of 2017 to 2019. The two numerical methods introduced in this study were both found to be appropriate for Weibull distribution parameter estimation in the study area. However, the SDM gave a higher value of the Weibull parameter estimation than the GM. Furthermore, the five selected commercial wind turbine models that were simulated in terms of performance were based on a capacity factor using the SDM and were both over 25% the recommended capacity factor value. The Polaris P50-500 commercial wind turbine is recommend as a suitable wind turbine to be installed in the study area due to its maximum annual capacity factor value over 3 years.
format	article
author	Michael Enock Tjahjana Dominicus Danardono Dwi Prija Prabowo Aditya Rio
author_facet	Michael Enock Tjahjana Dominicus Danardono Dwi Prija Prabowo Aditya Rio
author_sort	Michael Enock
title	Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
title_short	Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
title_full	Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
title_fullStr	Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
title_full_unstemmed	Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
title_sort	estimating the potential of wind energy resources using weibull parameters: a case study of the coastline region of dar es salaam, tanzania
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/f16c28461ab448929492625e4dde1e14
work_keys_str_mv	AT michaelenock estimatingthepotentialofwindenergyresourcesusingweibullparametersacasestudyofthecoastlineregionofdaressalaamtanzania AT tjahjanadominicusdanardonodwiprija estimatingthepotentialofwindenergyresourcesusingweibullparametersacasestudyofthecoastlineregionofdaressalaamtanzania AT prabowoadityario estimatingthepotentialofwindenergyresourcesusingweibullparametersacasestudyofthecoastlineregionofdaressalaamtanzania
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Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania

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