Study on Wind Speed Correlation between UNITEN and Meteorological Station Data for Wind Resource Assessment

Authors(2) :-Vola Osea, Eqwan M.R.

Assessing the wind speed at a target site is essential in deciding the feasibility of wind turbine installation for energy production. However, doing on-site measurement alone requires a long period of data collection to capture the annual and seasonal changes of wind speed. One of the method used to overcome to issue is by using the correlation method, by measuring a small set of data at a target site and correlating with the data at a nearby site, either a meteorological station or an airport, which usually have long-term records of wind data. This paper discusses a study done at Universiti Tenaga Nasional located in Kajang, Malaysia, on the suitability of using a nearby long-term data for its wind resource assessment. It is shown that the correlation coefficient (r) is 0.71 and its coefficient of determination (R2) is 0.51. 23 of the data recorded at the target site out of 26 data points or 88.46% shows higher wind speed compared to the reference site which is the meteorological station.

Authors and Affiliations

Vola Osea
Department of Mechanical Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
Eqwan M.R.

Wind Resource, Wind Correlation, Wind Speed, Resource Assessment

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Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 372-378
Manuscript Number : IJSRSET1734100
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vola Osea, Eqwan M.R., " Study on Wind Speed Correlation between UNITEN and Meteorological Station Data for Wind Resource Assessment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.372-378, July-August-2017.
Journal URL : http://ijsrset.com/IJSRSET1734100

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