Simulation of an Offshore Wind Turbine Using QBlade and MATLAB
DOI:
https://doi.org/10.38032/scse.2025.3.73Keywords:
Offshore Wind Turbine, Numerical simulation, QBlade, MATLAB SimulinkAbstract
There is an energy crisis throughout the world. Renewable energy sources can play a significant role in mitigating energy crisis. So, it is necessary to have comprehensive ideas of renewable energy sources to design and optimize renewable energy systems effectively. For a country like Bangladesh with limited land and a long, uninterrupted coastline, offshore wind turbines could provide a highly advantageous solution to meet its power needs. In this study wind resource analysis for offshore location has been performed using Python. Based on wind data, a wind turbine is designed, and numerical analysis have been performed using QBlade and MATLAB Simulink. The Blade Element Momentum (BEM) theory has been employed to analyze different aerodynamic characteristics such as power coefficient (Cp), thrust coefficient (Ct), etc. The results are plotted against tip speed ratio (TSR) and tabulated in tabular form. The aerodynamic power output of the model turbine is found as 738 kw and 629 kw respectively from QBlade and MATLAB Simulink simulation.
Downloads
Downloads
Downloads
References
[1]https://www.statista.com/statistics/476327/global-capacity-of-offshore-wind-energy/ (Access 08-12-2024).
[2] BPDB, Annual Report 2021-2022 of Bangladesh Power Development Board (BPDB), BPDB, 2021.
[3]https://elibrary.sreda.gov.bd/public/admin/files/books_202104 281990004944.pdf (Access 08-12-2024).
[4] Siddiqui, M. S., Khalid, M. H., Badar, A. W., Saeed, M., & Asim, T., Parametric analysis using cfd to study the impact of geometric and numerical modeling on the performance of a small-scale horizontal axis wind turbine, Energies, 15(2), 505, 2022. DOI: https://doi.org/10.3390/en15020505
[5] Mezaal, N. A., Osintsev, K. V., & Alyukov, S. V., The computational fluid dynamics performance analysis of horizontal axis wind turbine, Int. J. Power Electron. Drive Syst, 10, 1072-1080, 2019. DOI: https://doi.org/10.11591/ijpeds.v10.i2.pp1072-1080
[6] Nigam, P. K., Tenguria, N., & Pradhan, M. K., Analysis of horizontal axis wind turbine blade using CFD, International Journal of Engineering, Science and Technology, 9(2), 46-60, 2017. DOI: https://doi.org/10.4314/ijest.v9i2.5
[7] Marten, D., Wendler, J., Pechlivanoglou, G., Nayeri, C. N., & Paschereit, C. O., QBLADE: an open-source tool for design and simulation of horizontal and vertical axis wind turbines, International Journal of Emerging Technology and Advanced Engineering, 3(3), 264-269, 2013.
[8] Alaskari, M., Abdullah, O., & Majeed, M. H., Analysis of wind turbine using QBlade software, In IOP conference series: materials science and engineering Vol. 518, No. 3, p. 032020, 2019. DOI: https://doi.org/10.1088/1757-899X/518/3/032020
[9] Bhayo, M. A., Yatim, A. H. M., Khokhar, S., Aziz, M. J. A., & Idris, N. R. N. , Modeling of Wind Turbine Simulator for analysis of the wind energy conversion system using MATLAB/Simulink, IEEE Conference on Energy Conversion (CENCON) (pp. 122-127), IEEE, 2015. DOI: https://doi.org/10.1109/CENCON.2015.7409525
[10] Manwell, J. F., McGowan, J. G., & Rogers, A. L., Wind Energy Explained, John Wiley & Sons, 2010. DOI: https://doi.org/10.1002/9781119994367
[11] Soetedjo, A., Lomi, A., & Mulayanto, W. P., Modeling of wind energy system with MPPT control. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics (pp. 1-6), 2011. DOI: https://doi.org/10.1109/ICEEI.2011.6021836
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2025 Md. Jobayer Mia, Farhana Arzu, Md. Sadiqul Baree (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All the articles published by this journal are licensed under a Creative Commons Attribution 4.0 International License
