Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji

Wind resource assessment is carried out for a site in Kadavu, Fiji Islands. This included estimating the Weibull parameters and wind power density using ten different methods and carrying out an economic analysis. The wind speeds at 34 m and 20 m above ground level, wind direction, atmospheric press...

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Main Authors: Saiyad S. Kutty, M. G. M. Khan, M. Rafiuddin Ahmed
Format: Article
Language:English
Published: AIMS Press 2019-11-01
Series:AIMS Energy
Subjects:
Online Access:https://www.aimspress.com/article/10.3934/energy.2019.6.760/fulltext.html
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spelling doaj-f73e6a51f79741c7bf99018f9f2c3c642020-11-25T01:28:22ZengAIMS PressAIMS Energy2333-83262333-83342019-11-017676079110.3934/energy.2019.6.760Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, FijiSaiyad S. Kutty0M. G. M. Khan1M. Rafiuddin Ahmed21 School of Engineering, The University of the South Pacific, Laucala Campus, Laucala Bay Road, Suva, Fiji2 School of Computing, Information and Mathematical Sciences, The University of the South Pacific, Laucala Campus, Laucala Bay Road, Suva, Fiji1 School of Engineering, The University of the South Pacific, Laucala Campus, Laucala Bay Road, Suva, FijiWind resource assessment is carried out for a site in Kadavu, Fiji Islands. This included estimating the Weibull parameters and wind power density using ten different methods and carrying out an economic analysis. The wind speeds at 34 m and 20 m above ground level, wind direction, atmospheric pressure and temperature were measured for 18 months and statistically analyzed. The overall average wind speed at a height of 34 m above ground level was found to be 3.63 m/s. The seasonal averages for the site were 3.81 m/s and 3.40 m/s for summer and winter respectively. The diurnal variation of the wind shear for the site was correlated with the temperature variation. The Moments Method was found to be the best method for the entire period of study. The Modified Maximum Likelihood Method was found to be the best for the summer season whilst Median and Quartile method was the best for the winter period. The mean wind power density at the location was found to be 45.88 W/m<sup>2</sup>. The WAsP software was used to create the wind resource map. Five potential sites were selected installing the wind turbines and for carrying out the economic analysis, which included an estimation of annual energy production. It was found that, for the five turbines average capacity factor would be 20.05%. The payback period for installing the wind turbines at 50 m above the ground level is estimated to be between 6.99 and 8.74 years.https://www.aimspress.com/article/10.3934/energy.2019.6.760/fulltext.htmlwind energyweibull parameterswind shear coefficientturbulence intensityannual energy production
collection DOAJ
language English
format Article
sources DOAJ
author Saiyad S. Kutty
M. G. M. Khan
M. Rafiuddin Ahmed
spellingShingle Saiyad S. Kutty
M. G. M. Khan
M. Rafiuddin Ahmed
Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
AIMS Energy
wind energy
weibull parameters
wind shear coefficient
turbulence intensity
annual energy production
author_facet Saiyad S. Kutty
M. G. M. Khan
M. Rafiuddin Ahmed
author_sort Saiyad S. Kutty
title Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
title_short Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
title_full Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
title_fullStr Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
title_full_unstemmed Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji
title_sort estimation of different wind characteristics parameters and accurate wind resource assessment for kadavu, fiji
publisher AIMS Press
series AIMS Energy
issn 2333-8326
2333-8334
publishDate 2019-11-01
description Wind resource assessment is carried out for a site in Kadavu, Fiji Islands. This included estimating the Weibull parameters and wind power density using ten different methods and carrying out an economic analysis. The wind speeds at 34 m and 20 m above ground level, wind direction, atmospheric pressure and temperature were measured for 18 months and statistically analyzed. The overall average wind speed at a height of 34 m above ground level was found to be 3.63 m/s. The seasonal averages for the site were 3.81 m/s and 3.40 m/s for summer and winter respectively. The diurnal variation of the wind shear for the site was correlated with the temperature variation. The Moments Method was found to be the best method for the entire period of study. The Modified Maximum Likelihood Method was found to be the best for the summer season whilst Median and Quartile method was the best for the winter period. The mean wind power density at the location was found to be 45.88 W/m<sup>2</sup>. The WAsP software was used to create the wind resource map. Five potential sites were selected installing the wind turbines and for carrying out the economic analysis, which included an estimation of annual energy production. It was found that, for the five turbines average capacity factor would be 20.05%. The payback period for installing the wind turbines at 50 m above the ground level is estimated to be between 6.99 and 8.74 years.
topic wind energy
weibull parameters
wind shear coefficient
turbulence intensity
annual energy production
url https://www.aimspress.com/article/10.3934/energy.2019.6.760/fulltext.html
work_keys_str_mv AT saiyadskutty estimationofdifferentwindcharacteristicsparametersandaccuratewindresourceassessmentforkadavufiji
AT mgmkhan estimationofdifferentwindcharacteristicsparametersandaccuratewindresourceassessmentforkadavufiji
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