Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

Albani, Aliashim; Ibrahim, Mohd Zamri

doi:10.3390/en10030307

Cited by 62 publications

(54 citation statements)

References 45 publications

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“…Different methods can be used for wind extrapolation; the power law is used in this study for its simplicity. This law is considered a useful tool and is commonly used in the assessment of wind power potential to extrapolate wind speed data at different heights, which is defined as [52,53]…”

Section: Wind Speed Extrapolationmentioning

confidence: 99%

Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power

et al. 2019

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Wind power is the fastest growing and environmentally sustainable source of energy among all available renewable energy resources. The primary objective of this paper is to analyze the wind characteristics and power potential at Hyderabad, Southeastern province in Pakistan. Two years of wind speed data measured at 10 m above ground level (AGL) have been considered in this study. The annually, monthly, and seasonal variations in wind speed were analyzed, and minimum, maximum, and average values of recorded wind speeds are presented in this paper. Weibull and Rayleigh distribution functions have been applied to analyze the wind characteristics and evaluate the wind power potential of the proposed site. The Weibull shape k and scale c parameters have been estimated using the Weibull function. The higher values of k showed that the wind speed is steady at the site. The average wind speed was found above 6 m/s throughout the year. The most probable wind speed (Vmp) and maximum carrying energy (VmaxE) wind speed were also calculated using Weibull parameters. Root mean square error (RMSE), the coefficient of determination (R2), and mean bias error (MBE) were computed to ensure the good fit of Weibull distribution function. The annual average wind power and energy densities were estimated at more than 255 W/m2 and 2245 kWh/m2, respectively. The power density calculated by Weibull and Rayleigh functions was compared with that calculated by using measured wind data. The energy output and capacity factor of different commercially available wind turbines (WTs), i.e., power ratings from 0.33 to 2.75 MW, have been calculated. The cost of energy was estimated and ranged from $19.27 to $32.80 per MWh. Wind power potential and economic analysis of the collected data reveals that the site is suitable for developing wind power generation projects to power the local communities.

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Section: Wind Speed Extrapolationmentioning

confidence: 99%

Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power

et al. 2019

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“…Becerra et al (2017) presented a techno-financial evaluation of two Chilean locations with promising wind energy potential: Laguna Verde placed in the central region of the country and Porvenir in the southern region. Albani and Ibrahim (2017) investigated the wind energy potential by analysing a certain amount of gathered 10 minute measured data at four stations located at the coastal sites in Malaysia, namely, Kudat, Mersing, Kijal and Langkawi. They found that only Kudat and Mersing had a promising potential to develop a medium capacity of wind turbine power, while the other sites were suitable only for wind turbines at a smaller scale.…”

Section: Introductionmentioning

confidence: 99%

Assessment of wind energy potential across varying topographical features of Tamil Nadu, India

Rehman

Natarajan²,

Vasudevan³

et al. 2019

Energy Exploration & Exploitation

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Wind energy is one of the abundant, cheap and fast-growing renewable energy sources whose intensive extraction potential is still in immature stage in India. This study aims at the determination and evaluation of wind energy potential of three cities located at different elevations in the state of Tamil Nadu, India. The historical records of wind speed, direction, temperature and pressure were collected for three South Indian cities, namely Chennai, Erode and Coimbatore over a period of 38 years (1980-2017). The mean wind power density was observed to be highest at Chennai (129 W/m2) and lowest at Erode (76 W/m2) and the corresponding mean energy content was highest for Chennai (1129 kWh/m2/year) and lowest at Erode (666 kWh/m2/year). Considering the events of high energy-carrying winds at Chennai, Erode and Coimbatore, maximum wind power density were estimated to be 185 W/m2, 190 W/m2 and 234 W/m2, respectively. The annual average net energy yield and annual average net capacity factor were selected as the representative parameters for expressing strategic wind energy potential at geographically distinct locations having significant variation in wind speed distribution. Based on the analysis, Chennai is found to be the most suitable site for wind energy production followed by Coimbatore and Erode.

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“…From the West, Kudat faces the South China Sea and it faces the Sulu Sea at the east direction. As reported by numerous scholars, Kudat is a well-known region that has promising wind energy potential in Malaysia [46][47][48][49]. The wind speed data were collected from the measurement mast developed by Universiti Malaysia Terengganu.…”

Section: Case Study Site and Energy Analysismentioning

confidence: 99%

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

et al. 2017

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Abstract:The government of Malaysia has recently decided to explore the feasibility of wind energy to generate electricity in the country. Their ambition is to achieve a measureable target in the percentage contribution of electricity generated by renewable energy technology in the national electricity generation mix. As part of this initiative, a study of wind energy policy has been conducted by identifying the optimal feed-in tariff (FiT) rates to support the development of wind energy in the country. The aim of this paper is to calculate the optimal level of tariff that is suitable with local wind conditions. A closed-form equation for optimal feed-in tariff rate of wind energy with consideration of the availability of capital allowance has been developed. The focus is on small-and utility-scale wind turbine installations. As a result, by considering the availability of capital allowance, the optimal FiT rates for small-scale wind turbines in Malaysia are between 0.9245-1.1313 RM/kWh, while utility-scale rates are between 0.7396 and 0.9050 RM/kWh. The level of FiT is changed with the changing value of economic parameters. Kudat, in northern Borneo, has been identified as a prime site for wind energy development in the country; however, more work needs to be conducted, including the development of a regional wind map and measurement of wind data at more new potential sites.

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Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

Cited by 62 publications

References 45 publications

Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power

Assessment of Wind Power Potential and Economic Analysis at Hyderabad in Pakistan: Powering to Local Communities Using Wind Power

Assessment of wind energy potential across varying topographical features of Tamil Nadu, India

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

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