A Comparison of a Three Blade and Five Blade Wind Turbine in Terms of the Mechanical Properties Using the Q-Blade Software
DOI:
https://doi.org/10.21123/bsj.2024.8970Keywords:
Low wind speed, Power Coefficient, Torque Coefficient, Wind Turbine Blade, Wind Energy.Abstract
Wind turbines deployed in utility-scale wind farms can support and meet future energy desires and also decrease carbon dioxide emissions by reducing energy requirements from fossil fuels. As the air heats up throughout the day, the wind velocity increases due to temperature gradients. This in turn produces a density pressure gradient, inducing air movement that a wind turbine encounters. Depending on ground topography, the wind can encounter and be directed in valleys and between and over hills as it flows and follows the curves of the earth. These topographies produce an increase in wind velocity at summits and ridges. In the current study, a small horizontal wind turbine rotor blade is designed to operate under low wind speed, by using the Q-Blade software. Based on the Blade Element Momentum method (BEM) and airfoil NACA3712, a three-blade rotor and a five-blade rotor are used based on turbine type and rotor size to generate mechanical power from wind power. A comparison and analysis of turbine power, power coefficient, and torque coefficient are carried out at low wind speed 1m/s-8m/s and highly accurate results are obtained. It is found that the best performance is gained when a three-bladed turbine rotor can work with a turbine power of 582W. As for the five-blade rotor, the turbine power obtained is (955W). It is also found that the design of a small horizontal wind turbine with five blades is more efficient than a turbine with three blades, suitable for working in areas with low wind speed and is of high efficiency compared to the size of the turbine.
Received 19/04/2023
Revised 08/08/2023
Accepted 10/08/2023
Published Online First 20/02/2024
References
Hussein A, Fletcher RW. A Computational Fluid Dynamics Analysis of Turbulence and Wakes of Horizontal Axis Wind Turbines During Non-Operational Time Periods. ASME Int Mech Eng Congress Expos. 2020; 84560, V008T08A056. https://doi.org/10.1115/IMECE2020-23492
Hussein A. Modeling and Simulation of Wind Turbulence and Wake Effects Associated with Wind Turbine Electrical Power Generation Technology. PhD[dissertation]. Leon Linton Department of Mechanical, Robotics, and Industrial Engineering. 2021. Mechanical Engineering.
Al-Qarishey, Hussein, Fletcher R. How variations in downstream computational fluid dynamics turbulence studies can be impacted when employing commonly used initial set-up configuration parameters for airfoils. ASME Int Mech Eng Congress Expos. 2019; 59438: V 006T06A095. https://doi.org/10.1115/IMECE2019-11257
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. http://dx.doi.org/10.21123/bsj.2021.18.2(Suppl.).1048
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. 2022; 19(5): 1111-1111. http://dx.doi.org/10.21123/bsj.2022.6472
Birajdar MR, Kale SA, Performance analysis of new airfoils and blade for a small wind turbine. Int J Energy, Environ Econ. 2016; 24(1): 75-86. http://dx.doi.org/10.13140/RG.2.2.11406.69441
Patil Y. Design, fabrication and analysis of fibonacci spiral horizontal axis wind turbine. Int J Aerosp. Mech. Eng. 2018; 5(1): 1-4. _
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. https://doi.org/10.52763/PJSIR.PHYS.SCI.64.1.2021.65.75
Pramod MB, Srirang CP, Sushilkumar MB. Experimentation on design and development of mini wind turbine. Int. J. Innov. Technol. Explor. Eng. 2019; 8(11): 2278-3075. http://dx.doi.org/10.35940/ijitee.K1406.0981119
Muhsen H, Al-Kouz W, Khan W. Small wind turbine blade design and optimization. Symmetry. 2019; 12(1): 18. https://doi.org/10.3390/sym12010018
Noronha NP, Krishna M, Design and analysis of micro horizontal axis wind turbine using MATLAB and QBlade. Int. J. Adv. Sci. Technol. 2020; 20(10s): 8877-85.
Vaidya N, Barve S. Design, Modelling and Comparative Analysis of a Horizontal Axis Wind Turbine. Int J Eng. Res Technol. 2021; 8(8): 808-815.
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. 2021; 8.1: 81-93.
Jabbar RI, Statistical analysis of wind speed data and assessment of wind power density using weibull distribution function (Case Study: Four Regions in Iraq). J Phys.: Conf Ser. 2021; 1804(1):012010. http://dx.doi.org/10.1088/1742-6596/1804/1/012010
Yuwono T, Sakti G, Aulia FN, Wijaya AC. Improving the performance of Savonius wind turbine by installation of a circular cylinder upstream of returning turbine blade. Alex Eng. J. 2020; 59(6): 4923-4932. https://doi.org/10.1016/j.aej.2020.09.009
Wen B, Tian X, Dong X, Peng Z, Zhang W. On the power coefficient overshoot of an offshore floating wind turbine in surge oscillations. Wind Energy. 2018; 21(11): 1076-1091. https://doi.org/10.1002/we.2215
Emejeamara FC, Tomlin AS. A method for estimating the potential power available to building mounted wind turbines within turbulent urban air flows. Renew. Energ. 2020; 153: 787-800. https://doi.org/10.1016/j.renene.2020.01.123
Madsen HA, Larsen TJ, Pirrung GR, Li A, Zahle F. Implementation of the blade element momentum model on a polar grid and its aeroelastic load impact. Wind Energ Sci. 2020; 5(1): 1–27. https://doi.org/10.5194/wes-5-1-2020
Mustafa MM, Alaskari. Experimental Investigation and Performance Simulation of Kit Horizontal Axis Wind Turbine. Int J Comput Appl. 2018; 180(16): 0975-8887. https://doi.org/10.5120/ijca2018916371
Aran DHM, Tian Y, Kinnas S. Effect of Wake Alignment on Turbine Blade Loading Distribution and Power Coefficient. J Offshore Mech. Arct Eng. 2019; 141(4). https://doi.org/10.1115/1.4041669
Eltayesh A, Castellani F, Burlando M, Hanna MB, Huzayyin AS, El-Batsh HM, et al. Experimental and numerical investigation of the effect of blade number on the aerodynamic performance of a small-scale horizontal axis wind turbine. Alex Eng J. 2021; 60(4): 3931-394. https://doi.org/10.1016/j.aej.2021.02.048
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