Small Horizontal Wind Turbine Design and Aerodynamic Analysis Using Q-Blade Software
Keywords:Blade Shape, Power Coefficient, Twist Angle, Torque Coefficient, Wind Energy
Wind energy is one of the most common and natural resources that play a huge role in energy sector, and due to the increasing demand to improve the efficiency of wind turbines and the development of the energy field, improvements have been made to design a suitable wind turbine and obtain the most energy efficiency possible from wind. In this paper, a horizontal wind turbine blade operating under low wind speed was designed using the (BEM) theory, where the design of the turbine rotor blade is a difficult task due to the calculations involved in the design process. To understand the behavior of the turbine blade, the QBlade program was used to design and simulate the turbine rotor blade during working conditions. The design variables such as (chord length and torsion angle) affecting the performance of wind turbines were studied. Aileron (NACA4711) was selected for sixteen different sections of the blade with a length of (155 cm) both (power factor, torque coefficient, lift coefficient, drag coefficient, lift-to-drag coefficient ratio) where high-accuracy results were obtained and it was found that the best performance in which the turbine rotor can operate is when the(tip speed ratio) is equal to (7). In addition, a power factor was obtained (Cp = 0.4742), not exceeding the Betz limit (0.59%). It is good efficiency for a small wind turbine, and it turns out that the design of a small horizontal wind turbine with three blades is suitable for working in areas with low wind speed.
Received 11/5/2022, Revised 19/8/2022, Accepted 21/8/2022, Published Online First 20/2/2023
Stevens RJAM, Meneveau C. Flow structure and turbulence in wind farms. Annual review of fluid mechanics. 2017; 49: 311-339.
Porté-Agel, F, Bastankhah M, Shamsoddin S. Wind-turbine and wind-farm flows: a review. Bound-Layer Meteorol. 2020; 174(1): 1-59.
Mohsen AA, Al-Jiboori MH, Al-Timimi YK. Investigating the Aerodynamic Surface Roughness Length over Baghdad City Utilizing Remote Sensing and GIS Techniques. Baghdad Sci J. 2021; 18(2): 1048-1049.
Derome D, Razali R, Fazlizan A, Jedi A, Purvis-Roberts K. Determination of Optimal Time-Average Wind Speed Data in the Southern Part of Malaysia. Baghdad Sci J. Online First. 2022: 1111- 1122.
Bianchini A, Balduzzi F, Rainbird JM, Peiro J, Graham JMR, Ferrara G, et al. On the influence of virtual camber effect on airfoil polars for use in simulations of Darrieus wind turbines. Energy Convers Manag. 2015; 106: 373-384.
Abhishek G, Singh B, Singh S. Low wind speed airfoil design for horizontal axis wind turbine. Mater Today: Proceedings. 2021; 45: 3000-3004.
Mujahid M, Rafai A, Imran M, Saggu MH, Rahman N. Design Optimization and Analysis of Rotor Blade for Horizontal-Axis Wind Turbine Using Q-Blade Software. Pak J Sci Ind Res A: Phys Sci. 2021; 64(1): 65-75.
Ikpe AE, Etuk ME, Ndon AE. Modal Analysis of Horizontal Axis Wind Turbine Rotor Blade with Distinct Configurations under Aerodynamic Loading Cycle. Gazi Univ J Sci Eng. Innov. 2021; 8(1): 81-93.
Ibrahim M, Alsultan A, Shen S, Amano RS. Advances in horizontal axis wind turbine blade designs: introduction of slots and tubercle. J Energy Resour Technol. 2015; 137(5): 05120- 051211
Shah DS, Barve SB. Design, Analysis and Simulation of a Darrieus (Eggbeater type) Wind Turbine. J Eng Technol. 2021; 8(10): 1655-1660.
Gulve P, Barve SB. Design and construction of vertical axis wind turbine. Int J Mech Eng. Techol. 2014; 5(10): 148-155.
Zamani M, Nazari S, Moshizi SA, Maghrebi MJ. Three dimensional simulation of J-shaped Darrieus vertical axis wind turbine. Energy. 2016;116: 1243-1255.
Muhsen H, Al-Kouz W, Khan W. Small wind turbine blade design and optimization. Symmetry. 2019; 12(1): 18.
Tahani M, Kavari G, Masdari M, Mirhosseini M. Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions. Energy. 2017;131: 78-91.
Sakaria S, Tailor M, Joshi S. Modeling & Simulation Analysis of 800 kW Hawt. 12 Int Conf Therm Eng. Gandhinagar, India 2019.
Genc MS, Açıkel HH, Koca K. Effect of partial flexibility over both upper and lower surfaces to flow over wind turbine airfoil. Energy Convers. Manag. 2020;219: 113042.
Oguz K. Aerodynamic optimization of horizontal axis wind turbine blades by using CST method, BEM theory and genetic algorithm. MS thesis. Middle East Technical University. 2019;
Khan T, Singh B, Sultan MTH, Ahmad KA. Performance of a HAWT Rotor with a Modified Blade Configuration. Pertanika J Sci Technol. 2022; 30(1): 201 - 220.
Nikhade SD, Kongare SC, Kale SA. Design of an airfoil for low wind horizontal axis micro wind turbine. I2 Int Conf Converg Tech. IEEE. Mumbai, India. 2017. https://dx.doi.org/10.1109/I2CT.2017.8226249
Arumugam P, Ramalingam V, Bhaganagar K. A pathway towards sustainable development of small capacity horizontal axis wind turbines–Identification of influencing design parameters & their role on performance analysis. Sustain. Energy Technol Assess. 2021; 44: 101019.
Chen J, Hu Z, Wan D, Xiao Q. Comparisons of the dynamical characteristics of a semi-submersible floating offshore wind turbine based on two different blade concepts. Ocean Eng. 2018; 153: 305-318.
Duan F, Hu Z, Liu G, Wang J. Experimental comparisons of dynamic properties of floating wind turbine systems based on two different rotor concepts. Appl Ocean Res. 2016; 58: 266-280.
Copyright (c) 2023 Baghdad Science Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.