Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2037-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2037-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Experimental validation and extension of a blade element momentum model for counter-rotation dual-rotor wind turbine with double rotational armature design
Niels Cornelis Adema
CORRESPONDING AUTHOR
Entrance – Centre of Expertise Energy part of Hanze UAS, Groningen, 9747AA, the Netherlands
Josep Gil-Vernet Pagonabarraga
Entrance – Centre of Expertise Energy part of Hanze UAS, Groningen, 9747AA, the Netherlands
Institute of Engineering, section Mechanical Engineering, Hanze UAS, Groningen, 9747AS, the Netherlands
Wouter Swart Ranshuysen
Institute of Engineering, section Mechanical Engineering, Hanze UAS, Groningen, 9747AS, the Netherlands
Arjen de Ruijter
Institute of Engineering, section Mechanical Engineering, Hanze UAS, Groningen, 9747AS, the Netherlands
Gerard Schepers
Entrance – Centre of Expertise Energy part of Hanze UAS, Groningen, 9747AA, the Netherlands
TNO Energy Transition and Materials, 2628 CK, Delft, the Netherlands
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Cited articles
Adema, N., Swart-Ranshuysen, W., De Ruijter, A., and Schepers, G.: Wind Tunnel Test of Counter-Rotating Dual Rotor Wind Turbine With Double Rotational Armature Design, Wind Energy, 28, https://doi.org/10.1002/we.70039, 2025.
Al-Obaidi, A. S. M. and Madivaanan, G.: Investigation of the Blockage Correction to Improve the Accuracy of Taylor's Low-Speed Wind Tunnel, J. Phys. Conf. Ser., 2222, 012008, https://doi.org/10.1088/1742-6596/2222/1/012008, 2022.
Amoretti, T., Huet, F., Garambois, P., and Roucoules, L.: Configurable dual rotor wind turbine model based on BEM method: Co-rotating and counter-rotating comparison, Energ. Convers. Manage., 293, 117461, https://doi.org/10.1016/j.enconman.2023.117461, 2023.
Bai, H., Wang, N., and Wan, D.: Numerical study of aerodynamic performance of horizontal axis dual-rotor wind turbine under atmospheric boundary layers, Ocean Eng., 280, 114944, https://doi.org/10.1016/j.oceaneng.2023.114944, 2023.
Bereziartua-Gonzalez, L., Retegi, A., and Ukar, O.: Human-centered integration of small wind turbines in urban environments: a semi-systematic review from an industrial design perspective, Front. Sustain. Cities, 7, https://doi.org/10.3389/frsc.2025.1561894, 2025.
Bianchini, A., Bangga, G., Baring-Gould, I., Croce, A., Cruz, J. I., Damiani, R., Erfort, G., Simao Ferreira, C., Infield, D., Nayeri, C. N., Pechlivanoglou, G., Runacres, M., Schepers, G., Summerville, B., Wood, D., and Orrell, A.: Current status and grand challenges for small wind turbine technology, Wind Energ. Sci., 7, 2003–2037, https://doi.org/10.5194/wes-7-2003-2022, 2022.
Bontempo, R. and Manna, M.: Optimum design of contra-rotating wind turbines with adjacent rotors, Energ. Conv. Manage., 324, 119267, https://doi.org/10.1016/j.enconman.2024.119267, 2025.
Booker, J. D., Mellor, P. H., Wrobel, R., and Drury, D.: A compact, high efficiency contra-rotating generator suitable for wind turbines in the urban environment, Renew. Energ., 35, 2027–2033, https://doi.org/10.1016/j.renene.2010.02.003, 2010.
Braud, C., Podvin, B., and Deparday, J.: Study of the wall pressure variations on the stall inception of a thick cambered profile at high Reynolds number, Phys. Rev. Fluids, 9, 014605, https://doi.org/10.1103/PhysRevFluids.9.014605, 2024.
Calautit, K. and Johnstone, C.: State-of-the-art review of micro to small-scale wind energy harvesting technologies for building integration, Energ. Conv. Manage., 20, 100457, https://doi.org/10.1016/j.ecmx.2023.100457, 2023.
Chagas, C. C. M., Pereira, M. G., Rosa, L. P., da Silva, N. F., Freitas, M. A. V., and Hunt, J. D.: From Megawatts to Kilowatts: A Review of Small Wind Turbine Applications, Lessons From The US to Brazil, Sustainability, 12, 2760, https://doi.org/10.3390/su12072760, 2020.
Chen, T. Y. and Liou, L. R.: Blockage corrections in wind tunnel tests of small horizontal-axis wind turbines, Exp. Therm. Fluid Sci., 35, 565–569, https://doi.org/10.1016/j.expthermflusci.2010.12.005, 2011.
Drela, M.: XFOIL: An Analysis and Design System for Low Reynolds Number Airfoils, in: Low Reynolds Number Aerodynamics, 1–12, https://doi.org/10.1007/978-3-642-84010-4_1, 1989.
Erturk, E., Sivrioglu, S., and Bolat, F. C.: Analysis Model of a Small Scale Counter-Rotating Dual Rotor Wind Turbine with Double Rotational Generator Armature, International Journal of Renewable Energy Research (IJRER), 8, 1849–1858, 2018.
Gur, O.: Extending Blade-Element Model to Contra-Rotating Configuration, IOP Conf. Ser., Mater. Sci. Eng., 638, 012001, https://doi.org/10.1088/1757-899X/638/1/012001, 2019.
Habash, R. W. Y., Groza, V., Yang, Y., Blouin, C., and Guillemette, P.: Performance of a Contrarotating Small Wind Energy Converter, International Scholarly Research Notices, 2011, 828739, https://doi.org/10.5402/2011/828739, 2011.
Hansen, M.: Aerodynamics of Wind Turbines, 3rd Edn., Routledge, London, 188 pp., https://doi.org/10.4324/9781315769981, 2015.
Hollands, E. O., He, C., and Gan, L.: A particle image velocimetry study of dual-rotor counter-rotating wind turbine near wake, J. Vis., 23, 425–435, https://doi.org/10.1007/s12650-020-00643-0, 2020.
Jansma, H.: Development and Optimization of a Generator Test Rig for Small Wind Turbines: Improving Performance and Efficiency, MSc Thesis, Hanze UAS, Groningen, 74 pp., 2024.
Jeong, H., Lee, S., and Kwon, S.-D.: Blockage corrections for wind tunnel tests conducted on a Darrieus wind turbine, J. Wind Eng. Ind. Aerod., 179, 229–239, https://doi.org/10.1016/j.jweia.2018.06.002, 2018.
Jung, S. N., No, T.-S., and Ryu, K.-W.: Aerodynamic performance predictionof a 30 kW counter-rotating wind turbine system, Renew. Energ., 30, 631–644, https://doi.org/10.1016/j.renene.2004.07.005, 2005.
Jurasz, J., Bochenek, B., Wieczorek, J., Jaczewski, A., Kies, A., and Figurski, M.: Energy potential and economic viability of small-scale wind turbines, Energy, 322, 135608, https://doi.org/10.1016/j.energy.2025.135608, 2025.
Koehuan, V. A., Sugiyono, and Kamal, S.: Investigation of Counter-Rotating Wind Turbine Performance using Computational Fluid Dynamics Simulation, IOP Conf. Ser. Mater. Sci. Eng., 267, 012034, https://doi.org/10.1088/1757-899X/267/1/012034, 2017.
Kutt, F., Blecharz, K., and Karkosiński, D.: Axial-Flux Permanent-Magnet Dual-Rotor Generator for a Counter-Rotating Wind Turbine, Energies, 13, 2833, https://doi.org/10.3390/en13112833, 2020.
Lee, S., Kim, H., Son, E., and Lee, S.: Effects of design parameters on aerodynamic performance of a counter-rotating wind turbine, Renew. Energ., 42, 140–144, https://doi.org/10.1016/j.renene.2011.08.046, 2012.
Li, Y., Zhang, J., Li, Z., Yang, P., and Wang, H.: Design and verification of a novel double rotor without stator wind turbine generation system, Energy Reports, 7, 161–172, https://doi.org/10.1016/j.egyr.2021.10.041, 2021.
Mitulet, L.-A., Oprina, G., Chihaia, R.-A., Nicolaie, S., Nedelcu, A., and Popescu, M.: Wind Tunnel Testing for a New Experimental Model of Counter-rotating Wind Turbine, Procedia Engineer., 100, 1141–1149, https://doi.org/10.1016/j.proeng.2015.01.477, 2015.
Montgomerie, B.: Methods for Root Effects, Tip Effects and Extending the Angle of Attack Range to ±180°, with Application to Aerodynamics for Blades on Wind Turbines and Propellers, Swedish Defence Research Agency, https://www.foi.se/rest-api/report/FOI-R--1305--SE (last access: 3 June 2026), 2004.
Mühle, F., Adaramola, M. S., and Sætran, L.: The effect of rotational direction on the wake of a wind turbine rotor – a comparison study of aligned co- and counter rotating turbine arrays, Energy Proced., 137, 238–245, https://doi.org/10.1016/j.egypro.2017.10.346, 2017.
Newman, B. G.: Multiple actuator-disc theory for wind turbines,J. Wind Eng. Ind. Aerod., 24, 215–225, https://doi.org/10.1016/0167-6105(86)90023-1, 1986.
Ozbay, A., Tian, W., and Hu, H.: An Experimental Investigation on the Aeromechanics and Near Wake Characteristics of Dual-Rotor Wind Turbines (DRWTs), in: 32nd ASME Wind Energy Symposium, American Institute of Aeronautics and Astronautics, https://doi.org/10.2514/6.2014-1085, 2014.
Peng, X., Duan, L., Li, G., Jin, Y., and Han, Z.: Interference between main and auxiliary rotors in floating dual-rotor wind turbines under stationary and surge conditions, Ocean Eng., 322, 120462, https://doi.org/10.1016/j.oceaneng.2025.120462, 2025.
QBlade: QBlade – Next Generation Wind Turbine Simulation, https://qblade.org/, last access: 13 April 2026.
Rosenberg, A., Selvaraj, S., and Sharma, A.: A Novel Dual-Rotor Turbine for Increased Wind Energy Capture, J. Phys. Conf. Ser., 524, 012078, https://doi.org/10.1088/1742-6596/524/1/012078, 2014.
Schepers, J. G., Adema, N. C., Lipian, M., Kulak, M., Shahid, A., Best, A., Bendre, T., Gallicchio, I., Elsabbagh, A., Mostafa, A., Kim, T., Mikkelsen, R., Gaunaa, M., Teuwen, J. J. E., Rudolf, R. T., Wood, D., and Holierhoek, J. G.: Lessons learned from 10 years of wind tunnel tests on small wind turbines designed by students, J. Phys. Conf. Ser., 2767, 072009, https://doi.org/10.1088/1742-6596/2767/7/072009, 2024.
Simic, Z., Havelka, J. G., and Bozicevic Vrhovcak, M.: Small wind turbines – A unique segment of the wind power market, Renew. Energ., 50, 1027–1036, 2013.
Sundararaju, H., Lo, K. H., Metcalfe, R., and Wang, S. S.: Aerodynamics and CFD analysis of equal size dual-rotor wind turbine, J. Renew. Sustain. Ener., 9, 043305, https://doi.org/10.1063/1.4999500, 2017.
Wang, K., Liu, T., Wan, Y., Ong, M. C., and Wu, T.: Numerical Investigation on Aerodynamic Characteristics of Dual-Rotor Wind Turbines, J. Mar. Sci. Eng., 10, 1887, https://doi.org/10.3390/jmse10121887, 2022.
Wang, Z., Ozbay, A., Tian, W., and Hu, H.: An experimental study on the aerodynamic performances and wake characteristics of an innovative dual-rotor wind turbine, Energy, 147, 94–109, https://doi.org/10.1016/j.energy.2018.01.020, 2018.
Yin, F. F., Chen, J. J., Li, X. K., Ye, Z. L., Tang, W., Shen, X., and Guo, X. J.: A blade element momentum model for dual-rotor wind turbines considering inter-rotor velocity interferences, J. Phys. Conf. Ser., 2265, 042058, https://doi.org/10.1088/1742-6596/2265/4/042058, 2022.
Yuan, W., Tian, W., Ozbay, A., and Hu, H.: An experimental study on the effects of relative rotation direction on the wake interferences among tandem wind turbines, Sci. China Phys. Mech. Astron., 57, 935–949, https://doi.org/10.1007/s11433-014-5429-x, 2014.
Zhao, X., Zhou, P., Liang, X., and Gao, S.: The aerodynamic coupling design and wind tunnel test of contra-rotating wind turbines, Renew. Energ., 146, 1–8, https://doi.org/10.1016/j.renene.2019.06.118, 2020.
Short summary
Small wind turbines could help to generate renewable energy but are often inefficient and expensive. This study tested a counter-rotating dual-rotor design with both rotors connected through one generator, eliminating gearboxes. Wind tunnel tests achieved a 1 kW output with 33 % efficiency. A computational model showed that the turbine could theoretically reach 56 % efficiency with optimized blade angles. This compact design reduces mechanical complexity and suits urban applications.
Small wind turbines could help to generate renewable energy but are often inefficient and...
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