The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

Albani, Aliashim; Ibrahim, Mohd Zamri; Taib, Che Mohd Imran Che; Azlina, Ab. Aziz Nor

doi:10.3390/en10081114

Cited by 18 publications

(19 citation statements)

References 21 publications

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“…During the NEM season ( Figure 2), both CFSRE and MMD for all sites show an increment in wind speed from their median level, while a decrement occurred during the SWM season (Figure 3). Similar findings regarding the variability of wind speed during both monsoons in Malaysia was also reported by [2,4,38,39]. Usually, higher precipitation with strong wind speed occurs during the NEM season compared to the SWM.…”

Section: The Variability Of Cfsre and MMD Datasupporting

confidence: 85%

Influence of the ENSO and Monsoonal Season on Long-Term Wind Energy Potential in Malaysia

2018

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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.

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Section: The Variability Of Cfsre and MMD Datasupporting

confidence: 85%

Influence of the ENSO and Monsoonal Season on Long-Term Wind Energy Potential in Malaysia

2018

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“…The 1/7 Law (0.143) was introduced by Frost in 1974, and is the standard value used for data extrapolation for single height anemometer. It is a common practice among Malaysian researchers to use 1/7 Law (0.143) as the wind shear to determine the value of wind speed for the desired heights [15], [16], [17], [18], [19]. This practice leads to the inaccuracy of result data.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Wind shear data at two different terrain types

2019

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The measurement of this data aims to evaluate the wind shear variability at three selected sites in Malaysia. The sites are Kudat in Sabah, Kijal in Terengganu and Langkawi in Kedah. Both sites in Kudat and Kijal is located in coastal areas with few buildings or trees, while the site in Langkawi is a coastal area with many buildings or trees. The variables were measured using the sensors that mounted on the wind mast with the maximum height from 55 m to 70 m from ground level. The variables measured were wind speed, wind direction, temperature, and pressure, while the wind shear data were directly generated using the power law equation. The averaged wind shear based on measured multiple height wind speed at selected sites is larger than the 1/7 law (0.143). Also, the value of wind shear was higher in order Langkawi > Kudat > Kijal. Ultimately, the wind shear data are essential and can be reused in the wind energy potential study, especially for data extrapolation to desired wind turbine hub height.

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“…The analysis identified the best site to install wind turbines with a potential production ranging from 37.5 to 43.1 MWh/year with the FiT rates being approximately RM 0.46 to RM 0.80 per kWh. Moreover, Albani et al [51] proposed a method for calculating the optimal FiT that would be suitable for wind energy generation in Malaysia. They selected Kudat as the case study, with real data collected at different heights and-with an average speed of 5 m/s when the hub-height exceeded 30 m. The base case results indicated an FiT between 0.9245 and 1.1313 RM/kWh for small-scale turbines and between 0.7396 and 0.9050 RM/kWh for utility-scale wind turbines.…”

Section: Techno-economicmentioning

confidence: 99%

Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends

et al. 2020

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In recent years, wind energy has gained extensive attention in the recent years in various countries due to the high energy demand of energy and shortage of traditional electric energy sources. Because wind energy constitutes a cost effective and environmentally friendly source, it can significantly contribute toward the reduction of the ever-increasing carbon emissions. It is one of the fastest growing green technologies worldwide, with a total generation share of 564 GW as of the end of 2018. In Malaysia, wind energy has been a hot topic in both academia and green energy industry. In this paper, the current status of wind energy research in Malaysia is reviewed. Different contributing factors such as potentiality and assessments, wind speed and direction modeling, wind prediction and spatial mapping, and optimal sizing of wind farms are extensively discussed. This paper discusses the progress of all studies related to wind energy and presents conclusions and recommendations for improving wind energy research in Malaysia.

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The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

Cited by 18 publications

References 21 publications

Influence of the ENSO and Monsoonal Season on Long-Term Wind Energy Potential in Malaysia

Influence of the ENSO and Monsoonal Season on Long-Term Wind Energy Potential in Malaysia

Wind shear data at two different terrain types

Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends

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