Abstract
This paper assesses the long-term wind energy potential at three selected sites, namely Mersing and Kijal on the east coast of peninsular Malaysia and Kudat in Sabah. The influence of the El Niño-Southern Oscillation on reanalysis and meteorological wind data was assessed using the dimensionless median absolute deviation and wavelet coherency analysis. It was found that the wind strength increases during La Niña events and decreases during El Niño events. Linear sectoral regression was used to predict the long-term wind speed based on the 35 years of extended Climate Forecast System Reanalysis data and 10 years of meteorological wind data. The long-term monthly energy production was computed based on the 1.5 MW Goldwind wind turbine power curve. The measured wind data were extrapolated to the selected wind turbine default hub height (70 m.a.s.l) by using the site-specific power law indexed. The results showed that the capacity factor is higher during the Northeast monsoon (21.32%) compared to the Southwest monsoon season (3.71%) in Mersing. Moreover, the capacity factor in Kijal is also higher during the Northeast monsoon (10.66%) than during the Southwest monsoon (5.19%). However, in Kudat the capacity factor during the Southwest monsoon (36.42%) is higher compared to the Northeast monsoon (24.61%). This is due to the tail-effect of tropical storms that occur during this season in the South China Sea and Pacific Ocean.
Highlights
Malaysia is one of several Southeast Asian countries that are looking at the potential of wind as a new renewable energy resource to generate electricity
This is due to the tail-effect of tropical storms that occur during this season in the South China Sea and Keywords: wind energy; El Niño-Southern Oscillation (ENSO); Monsoon; wavelet; Malaysia
This paper aims to predict long-term data based on reanalysis and measured data for generating the long-term annual energy production
Summary
Malaysia is one of several Southeast Asian countries that are looking at the potential of wind as a new renewable energy resource to generate electricity. According to the literature [1,2,3,4], the east coast of the peninsular and the northern part of Sabah are the most windy areas in Malaysia. This literature utilizes short term data, that is, around one to three years of data from selected sites. As described in [5,6], wind potential analysis should consider more than 20 years of data to reflect the average conditions present over the lifetime of a wind project. In long-term wind analysis, several impacts such as monsoonal season and diurnal should be deeply studied
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
