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Aerodynamic Modeling and Performance Study of an INVELOX System Containing Multiple Wind Turbines Using a Semi-Analytical Approach

Document Type : Research Article

Authors

1 Faculty of Mechanical Engineering, Tarbiat Modares univesity, Tehran, Iran.

2 M.Sc. in Mechanical Engineeing, Tarbiat Modares university, Tehran, Iran.

Abstract

The INVELOX system is an innovative approach that offers improved energy absorption efficiency from wind flow and reduced costs by utilizing smaller wind turbines. This research focuses on investigating the steady-state performance of one, two, or three wind turbines arranged within the venturi section of the system. A comprehensive modeling approach using an improved Blade Element Momentum (BEM) theory is proposed and implemented as a MATLAB code. The code incorporates Prandtl's tip and hub loss factors, as well as turbulent wake corrections. The accuracy of the code is validated against experimental and numerical data. The results demonstrate that in a three-rotor tandem configuration in the INVELOX system, the power extracted from the second and third turbines is 0.54 and 0.24 times the power of the first turbine, respectively. Furthermore, for a two-turbine arrangement in the venturi section, the total power extracted from the system is 53.9% higher than that of a single turbine layout. In the case of a three-turbine configuration, the total power increases up to 1.78 times compared to a single turbine. The proposed model is suitable for geometric optimization and parameter studies. The system's performance is evaluated in terms of tip speed ratio, and the effects of different correction models are analyzed, including the local changes in forces and moments.

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References
  1. Akour, S. N., & Bataineh, H. O. (2019). Design considerations of wind funnel concentrator for low wind speed regions. AIMS Energy, 7(6), 728-742. https://doi.org/10.3934/energy.2019.6.728
  2. Allaei, D., & Andreopoulos, Y. (2013). INVELOX: a new concept in wind energy harvesting. Proceeding of ASME 2013 7th international Conference on energy Sustainability & 11th Fuel Cell Science, Engineering and Technology Conference ES-Fuel Cell. https://www.semanticscholar.org/paper/INVELOX%3A-A-NEW-CONCEPT-IN-WIND-ENERGY-HARVESTING-Allaei-Andreopoulos/de606705b617e9fa7a3e5376362ecb46385a72d3
  3. Allaei, D., & Andreopoulos, Y. (2014). INVELOX: Description of a new concept in wind power and its performance evaluation. Energy, 69, 336-344. https://doi.org/10.1016/j.energy.2014.03.02
  4. Allaei, D., Tarnowski, D., & Andreopoulos, Y. (2015). INVELOX with multiple wind turbine generator systems. Energy, 93, 1030-1040. https://doi.org/10.1016/j.energy.2015.09.076.
  5. Anbarsooz, M., Hesam, M. S., & Moetakef‐Imani, B. (2017). Numerical study on the geometrical parameters affecting the aerodynamic performance of Invelox. IET renewable power generation, 11(6), 791-798. https://doi.org/10.1049/iet-rpg.2016.0668.
  6. Bavanish, B., & Thyagarajan, K. (2013). Optimization of power coefficient on a horizontal axis wind turbine using bem theory. Renewable and sustainable energy reviews, 26, 169-182. https://doi.org/10.1016/j.rser.2013.05.009.
  7. Billah, S. B., & Qasim, S. (2019). Development of MATLAB simulink model of Invelox to Analyze The Impact of Inlet Height On speed ratio. 2019 International Conference on Energy and Power Engineering (ICEPE), https://doi.org/10.1109/CEPE.2019.8726795.
  8. Buhl Jr, M. L. (2005). New empirical relationship between thrust coefficient and induction factor for the turbulent windmill state. https://www.osti.gov/biblio/15016819
  9. Burton, T., Jenkins, N., Sharpe, D., & Bossanyi, E. (2011). Wind energy handbook. John Wiley & Sons. https://books.google.com/books?hl=en&lr=&id=dip2LwCRCscC&oi=fnd&pg=PT16&dq=9.%09Burton,+T.,+Jenkins,+N.,+Sharpe,+D.,+%26+Bossanyi,+E.+(2011).+Wind+energy+handbook.+John+Wiley+%26+Sons.+&ots=IfxMSsMsz5&sig=WlZB85tL2kIVuPN5McjhX4d9gEU.
  10. Ding, L., & Guo, T. (2020). Numerical study on the power efficiency and flow characteristics of a new type of wind energy collection device. Applied Sciences, 10(21), 7438. https://doi.org/10.3390/app10217438.
  11. Eggleston, D. M., & Stoddard, F. (1987). Wind turbine engineering design. https://www.osti.gov/biblio/5719832
  12. Fereidoonnezhad, M., Tahani, M., & Esfahanian, V. (2017). Analysis of Ducted Wind Turbine using Surface Vorticity Method. 3rd International Conference of IEA, Iran, Tehran, https://www.sid.ir/FileServer/SE/559e20170301.pdf
  13. Glauert, H. (1926). The analysis of experimental results in the windmill brake and vortex ring states of an airscrew. HM Stationery Office. https://books.google.com/books/about/The_Analysis_of_Experimental_Results_in.html?id=_JfFtgAACAAJ
  14. Gohar, G. A., Manzoor, T., Ahmad, A., Hameed, Z., Saleem, F., Ahmad, I., Sattar, A., & Arshad, A. (2019). Design and comparative analysis of an INVELOX wind power generation system for multiple wind turbines through computational fluid dynamics. Advances in Mechanical Engineering, 11(4), https://doi.org/10.1177/1687814019831475.
  15. Golozar, A., Shirazi, F. A., Siahpour, S., Khakiani, F. N., & Gaemi Osguei, K. (2021). A novel aerodynamic controllable roof for improving performance of INVELOX wind delivery system. Wind Engineering, 45(3), 477-490. https://doi.org/10.1177/0309524X20910986
  16. Hosseini, S. R., & Ganji, D. D. (2020). A novel design of nozzle-diffuser to enhance performance of INVELOX wind turbine. Energy, 198, 117082. https://doi.org/10.1016/j.energy.2020.117082
  17. Hsiao, F.-B., Bai, C.-J., & Chong, W.-T. (2013). The performance test of three different horizontal axis wind turbine (HAWT) blade shapes using experimental and numerical methods. Energies, 6(6), 2784-2803. https://doi.org/10.3390/en6062784.
  18. Karimian Aliabadi, S., & Rasekh, S. (2019). Effect of Platform Surge Motion on the Performance of 5MW NREL Offshore Floating Wind Turbine. Journal of Renewable Energy and Environment, 6(1), 8-14. https://doi.org/10.30501/jree.2019.95553.
  19. Karimian Aliabadi, S., & Rezaey, S. (2022). Modeling of a wind energy harvesting INVELOX system by combination of numerical results and semi-analytical framework. Sharif Journal of Mechanical Engineering, 38(2), 37-46. https://doi.org/10.24200/J40.2022.59289.1626.
  20. Krishna, J. M., Bhargava, V., & Donepudi, J. (2018). BEM prediction of wind turbine operation and performance. International Journal of Renewable Energy Research, 8(4). http://doi.org/10.4108/eai.27-10-2020.166771.
  21. Kumar, N. M., Subathra, M., & Cota, O. D. (2015). Design and wind tunnel testing of funnel based wind energy harvesting system. Procedia Technology, 21, 33-40. https://doi.org/10.1016/j.protcy.2015.10.006.
  22. Lilley, G., & Rainbird, W. (1956). A preliminary report on the design and performance of ducted windmills. https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7971/COA_Report_No_102_Apr_1956.pdf?sequence=1.
  23. Liu, X., Wang, L., & Tang, X. (2013). Optimized linearization of chord and twist angle profiles for fixed-pitch fixed-speed wind turbine blades. Renewable energy, 57, 111-119. https://doi.org/10.1016/j.renene.2013.01.036.
  24. Masters, I., Chapman, J., Willis, M., & Orme, J. (2011). A robust blade element momentum theory model for tidal stream turbines including tip and hub loss corrections. Journal of Marine Engineering & Technology, 10(1), 25-35. https://doi.org/10.1080/20464177.2011.11020241.
  25. Nabil, T., Khairat Dawood, M., & Mansour, T. (2018). Design and Implementation of the Rotor Blades of Small Horizontal Axis Wind Turbine. Journal of Renewable Energy and Environment, 5(2), 41-51. https://doi.org/10.30501/jree.2018.88633.
  26. Nardecchia, F., Groppi, D., Lilliu, I., Astiaso Garcia, D., & De Santoli, L. (2020). Increasing energy production of a ducted wind turbine system. Wind Engineering, 44(6), 560-576. https://doi.org/10.1177/0309524X19862760.
  27. Rajan, A., & Ponta, F. L. (2019). A novel correlation model for horizontal axis wind turbines operating at high-interference flow regimes. Energies, 12(6), 1148. https://doi.org/10.3390/en12061148.
  28. Rezaey, S. (2020). Numerical investigation of a globe control valve and estimating its loss coefficient at different opening states. European Journal of Computational Mechanics, 549–576-549–576. https://doi.org/10.13052/ejcm1779-7179.294610.
  29. Ryi, J., Rhee, W., Hwang, U. C., & Choi, J.-S. (2015). Blockage effect correction for a scaled wind turbine rotor by using wind tunnel test data. Renewable energy, 79, 227-235. https://doi.org/10.1016/j.renene.2014.11.057.
  30. Shin, J.-H., Lee, J.-H., & Chang, S.-M. (2019). A simplified numerical model for the prediction of wake interaction in multiple wind turbines. Energies, 12(21), 4122. https://doi.org/10.3390/en12214122.
  31. SnehalNarendrabhai, P., & Desmukh, T. (2018). Numerical simulation of flow through INVELOX wind turbine system. Int J Renew Energy Resour, 8(1), 291-301. https://doi.org/10.20508/ijrer.v8i1.6753.g7303.
  32. Solanki, A. L., Kayasth, B. D., & Bhatt, H. (2017). Design modification & analysis for venturi section of INVELOX system to maximize power using multiple wind turbine. Int J Innovat Res Sci Technol, 3, 125-127. https://www.academia.edu/download/53485702/IJIRSTV3I11132.pdf
  33. Supreeth, R., Arokkiaswamy, A., Hegde, K. M., Srinath, P., Prajwal, H., & Sudhanva, M. (2021). Analytical evaluation of performance of a small scale horizontal axis wind turbine rotor blade. AIP Conference Proceedings, https://doi.org/10.1063/5.0036766.
  34. Tahani, M., Kavari, G., Masdari, M., & Mirhosseini, M. (2017). Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions. Energy, 131, 78-91. https://doi.org/10.1016/j.energy.2017.05.033.
  35. Tang, X., Huang, X., Peng, R., & Liu, X. (2015). A direct approach of design optimization for small horizontal axis wind turbine blades. Procedia CIRP, 36, 12-16. https://doi.org/10.1016/j.procir.2015.01.047.
  36. Tangler, J., & Somers, D. (1995). NREL airfoil families for HAWTs: National Renewable Energy Laboratory. https://www.osti.gov/biblio/10106095.
  37. Thumthae, C. (2015). Optimum blade profiles for a variable-speed wind turbine in low wind area. Energy Procedia, 75, 651-657. https://doi.org/10.1016/j.egypro.2015.07.478.
  38. Vaz, J. R. P., Pinho, J. T., & Mesquita, A. L. A. (2011). An extension of BEM method applied to horizontal-axis wind turbine design. Renewable energy, 36(6), 1734-1740. https://doi.org/10.1016/j.renene.2010.11.018.
  39. Wibowo, T. T., Daulay, F. H., Suryopratomo, K., & Budiarto, R. (2018). Numerical study of the effect of geometry variation on the performance of innovative design wind speed enhancer. E3S Web of Conferences, https://doi.org/10.1051/e3sconf/20184201013.
Journal of Renewable Energy and Environment
Volume 11, Issue 1
January 2024
Pages 192-207
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History
  • Receive Date: 22 January 2023
  • Revise Date: 31 May 2023
  • Accept Date: 15 July 2023
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