Design and Fabrication of Multi-Rotor Horizontal Axis Wind Turbine

Jayapriya, J.; Muruganandam, D.; Raguraman, D.; Senthilkumar, B.; Dhinakaran, V.

doi:10.35940/ijeat.f9528.088619

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This optimism may be attributable to the widespread use of wind energy in countries with terrains comparable to Malaysia, such as Thailand [2] and India [3]. Wind energy is an unlimited source of renewable energy [4], and it was among the most advanced technologies accessible at the time [5]- [8]. The initial wind energy project in Malaysia was successful, and Pulau Layang-Layang in Sabah was the first location chosen by the government [9].…”

Section: Introductionmentioning

confidence: 99%

Distribution cycle of wind speed: A case study in the Southern Part of Malaysia

Derome

Razali²,

Fazlizan³

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Wind energy has historically helped many people and has been utilized for farming and seafaring. Today, modern usage is more comprehensive such as generating electricity. However, its usage in Malaysia remains at an all-time low. Numerous factors contribute to this result. Consequently, a full assessment of wind energy in a particular region is deemed necessary. This study investigates wind speed distribution in Mersing. It also illustrates the period during which the regional distribution statistics changed. The researcher used Autofit 5.6 and the Maximum Likelihood Method to figure out the parameter value of each distribution for wind speed data from 2012 to 2016. This study utilized three distinct methods of Goodness of fit (GOF) to estimate the optimal distribution ranking, such as Chi-Square, Anderson-Darling, and Kolmogorov-Smirnov. The results reveal that the Burr, Gamma, and Lognormal distributions correlate to the wind speed data in Mersing and the Burr distribution is the most appropriate. In addition, the findings indicate that distribution changes occur at a minimum rate of 8.89%. In conclusion, these findings reveal that there has been no significant change over the five years. This information enables stakeholders to determine whether they will earn a profit owing to changes in the distribution of a particular area, reducing risk.

show abstract

Section: Introductionmentioning

confidence: 99%

Distribution cycle of wind speed: A case study in the Southern Part of Malaysia

Derome

Razali²,

Fazlizan³

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Density varies with pressure and temperature, both of which depend on altitude. e conversion of the kinetic energy of the wind resource into electricity is performed by the use of a wind turbine [8]. In wind turbine design and fabrication, key issues that affect aerodynamic characteristics of the wind turbine need to be addressed to optimize power extraction from wind resources [11].…”

Section: Wind Turbine Aerodynamicsmentioning

confidence: 99%

“…e two renewables also o er the potential to mitigate the ever-increasing demand for clean energy [5,6]. Of late, wind energy is one of the most developing areas in renewable energy research, accounting for approximately 40% of the total primary energy utilization [7,8]. Moreover, according to de Falani et al, 2020 [9], wind energy is considered the fastest growing and most promising source of renewable energy with zero direct emissions.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Wind Turbine for Rural Household Electrification in Machakos, Kenya

Muchiri

Kamau

Wekesa

et al. 2022

Journal of Renewable Energy

View full text Add to dashboard Cite

Machakos is an area characterized by low wind speeds in the range of 0.5 m/s to 5 m/s with an annual average wind speed of 3.5 m/s. Maximum power generation from wind requires the appropriate design of the conversion system. In this study, two HAWT rotor blades were fabricated using Styrofoam and aluminium with a pitching mechanism to maximize power. The system was tested in a wind tunnel environment at a wind speed range of 0 m/s−20 m/s. RPMs and torque were measured and then used to calculate the TSR and power coefficients at different pitching angles. Energy optimization was performed by varying the pitch angles from 0 to 40 degree and rotational speeds, blade shape, and also a variation of blade materials. The analysis of tip speed ratios showed positive skewness implying high potential for significant energy generation at low wind speeds. At the rated wind speed of 5 m/s, Styrofoam blades performed optimally at a pitch angle of 20 degree with a tip speed ratio (TSR) of 2.1 corresponding to a Cp of 0.465. This translates to 238 W of power. Aluminium type performed optimally at a pitch angle of 15 degree with a TSR of 1.9 corresponding to a CP of 0.431, a power estimate of 220 W. These findings showed that Styrofoam blades were more effective and thus suitable for application in wind systems. The understanding gained from this study could be useful to the HAWT research community and can be extended to the turbine designs for small-scale microgrids and utility applications.

show abstract

“…Wind energy is a virtually limitless renewable energy source [1], [2]. Aside from that, it is one of the most advanced technologies available today [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Weibull Parameters With a Novel Alternative Graphical Technique for Low Wind Speeds

et al. 2022

View full text Add to dashboard Cite

This paper analyses wind speed estimation for Weibull distribution using various methods. According to a previous study, the existing methods primarily target areas with moderate to high-velocity rates, and Malaysia is a tropical country with pleasant breezes all year. As a result, this research aims to devise the most efficient method of forecasting wind speeds in low-speed areas. The researcher compared existing methods such as the Moment of Method, Empirical Method, Graphical Method, Maximum Likelihood Method and the newly proposed Alternative Graphical method. The finding indicates that the novel proposed approach, the Alternative Graphical Method, is superior regarding Goodness of Fit, Kolmogorov Smirnov and Chi-Square. For Kolmogorov Smirnov, the Alternative Graphical Method is 3.4 % better than the second-best method. At the same time, the usage of Chi-Square is again at a top position, with a 61 % disparity between it and the second and third best places. However, the Alternative Graphical Method is in second place for Anderson Darling, but the forecast performance with a minimum difference of 0.3 %. These findings imply that the Alternative Graphical Method capable of making more precise predictions than current methods.

show abstract

Design and Fabrication of Multi-Rotor Horizontal Axis Wind Turbine

Cited by 5 publications

References 0 publications

Distribution cycle of wind speed: A case study in the Southern Part of Malaysia

Distribution cycle of wind speed: A case study in the Southern Part of Malaysia

Design and Optimization of a Wind Turbine for Rural Household Electrification in Machakos, Kenya

Forecasting Weibull Parameters With a Novel Alternative Graphical Technique for Low Wind Speeds

Contact Info

Product

Resources

About