IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v199y2017icp479-494.html
   My bibliography  Save this article

Increasing the operational capability of a horizontal axis wind turbine by its integration with a vertical axis wind turbine

Author

Listed:
  • Govind, Bala

Abstract

A major difficulty encountered by a horizontal axis wind turbine is the limit of aerodynamic torque that it can withstand at high wind speeds. A novel strategy is proposed to improve the operational capability of a prototype scale system by increasing its rated wind speed for power generation. This is achieved by integrating its drivetrain with that of a vertical axis wind turbine supported on a common tower. Excess torque is transferred from the horizontal axis rotor to the vertical axis rotor’s drivetrain by coupling them using a continuously variable transmission. In this article, firstly, the concepts of motion transfer that facilitate this combined operation are discussed. A combination of a 12-kW horizontal axis rotor and a 10-kW vertical axis wind turbine is studied to estimate the increased benefit of increments in rated wind speed. Performance of this hybrid system is predicted at potential wind sites and is shown to exceed the standalone mechanical power output of both subsystems under different wind regimes. The critical criterion of the system’s aerodynamic feasibility is then investigated. Turbulence modelling is performed for a configuration which involves a combination of the NREL Phase VI rotor and a NACA 0021 profiled vertical axis H-rotor. A 3-D simulation, using a validated k-ω (Shear Stress Transport) computational fluid dynamics model helps confirm the ability of both turbines to operate aerodynamically independent of each other. Further, by this methodology, a safe clearance between the two rotors is pre-determined. Analysis of turbulent flow scenarios reveals the characteristic effects of aerodynamic torque ripple experienced by the vertical axis wind turbine and its impact on combined power output. Parameters outlined in this article will be of assistance in the practical implementation of the integrated axes wind turbine.

Suggested Citation

  • Govind, Bala, 2017. "Increasing the operational capability of a horizontal axis wind turbine by its integration with a vertical axis wind turbine," Applied Energy, Elsevier, vol. 199(C), pages 479-494.
  • Handle: RePEc:eee:appene:v:199:y:2017:i:c:p:479-494
    DOI: 10.1016/j.apenergy.2017.04.070
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917304695
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.04.070?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Zhimin & Chai, Yi, 2016. "A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 345-359.
    2. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    3. Nikolić, Vlastimir & Sajjadi, Shahin & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko & Por, Lip Yee, 2016. "Design and state of art of innovative wind turbine systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 258-265.
    4. Chong, W.T. & Gwani, M. & Shamshirband, S. & Muzammil, W.K. & Tan, C.J. & Fazlizan, A. & Poh, S.C. & Petković, Dalibor & Wong, K.H., 2016. "Application of adaptive neuro-fuzzy methodology for performance investigation of a power-augmented vertical axis wind turbine," Energy, Elsevier, vol. 102(C), pages 630-636.
    5. Li, Qing’an & Maeda, Takao & Kamada, Yasunari & Murata, Junsuke & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2016. "Effect of solidity on aerodynamic forces around straight-bladed vertical axis wind turbine by wind tunnel experiments (depending on number of blades)," Renewable Energy, Elsevier, vol. 96(PA), pages 928-939.
    6. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Murata, Junsuke & Kawabata, Toshiaki & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2016. "Wind tunnel and numerical study of a straight-bladed vertical axis wind turbine in three-dimensional analysis (Part I: For predicting aerodynamic loads and performance)," Energy, Elsevier, vol. 106(C), pages 443-452.
    7. Shamshirband, Shahaboddin & Petković, Dalibor & Amini, Amineh & Anuar, Nor Badrul & Nikolić, Vlastimir & Ćojbašić, Žarko & Mat Kiah, Miss Laiha & Gani, Abdullah, 2014. "Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission," Energy, Elsevier, vol. 67(C), pages 623-630.
    8. Asr, Mahdi Torabi & Nezhad, Erfan Zal & Mustapha, Faizal & Wiriadidjaja, Surjatin, 2016. "Study on start-up characteristics of H-Darrieus vertical axis wind turbines comprising NACA 4-digit series blade airfoils," Energy, Elsevier, vol. 112(C), pages 528-537.
    9. Cherubini, Antonello & Papini, Andrea & Vertechy, Rocco & Fontana, Marco, 2015. "Airborne Wind Energy Systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1461-1476.
    10. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Liu, Hong-wei & Gu, Ya-jing, 2014. "Output power control for hydro-viscous transmission based continuously variable speed wind turbine," Renewable Energy, Elsevier, vol. 72(C), pages 395-405.
    11. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Liu, Hong-wei & Lei, Peng-fei, 2015. "A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics," Energy, Elsevier, vol. 85(C), pages 677-686.
    12. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    13. Kusiak, Andrew & Li, Wenyan & Song, Zhe, 2010. "Dynamic control of wind turbines," Renewable Energy, Elsevier, vol. 35(2), pages 456-463.
    14. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    15. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Murata, Junsuke & Kawabata, Toshiaki & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2016. "Wind tunnel and numerical study of a straight-bladed Vertical Axis Wind Turbine in three-dimensional analysis (Part II: For predicting flow field and performance)," Energy, Elsevier, vol. 104(C), pages 295-307.
    16. Song, Dongran & Yang, Jian & Cai, Zili & Dong, Mi & Su, Mei & Wang, Yinghua, 2017. "Wind estimation with a non-standard extended Kalman filter and its application on maximum power extraction for variable speed wind turbines," Applied Energy, Elsevier, vol. 190(C), pages 670-685.
    17. Goldstein, Leo, 2013. "Theoretical analysis of an airborne wind energy conversion system with a ground generator and fast motion transfer," Energy, Elsevier, vol. 55(C), pages 987-995.
    18. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Hai-gang, 2016. "Hydro-viscous transmission based maximum power extraction control for continuously variable speed wind turbine with enhanced efficiency," Renewable Energy, Elsevier, vol. 87(P1), pages 646-655.
    19. Lee, Kyoungsoo & Huque, Ziaul & Kommalapati, Raghava & Han, Sang-Eul, 2016. "Evaluation of equivalent structural properties of NREL phase VI wind turbine blade," Renewable Energy, Elsevier, vol. 86(C), pages 796-818.
    20. Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
    21. Shaheen, Mohammed & Abdallah, Shaaban, 2016. "Development of efficient vertical axis wind turbine clustered farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 237-244.
    22. Gu, Ya-jing & Yin, Xiu-xing & Liu, Hong-wei & Li, Wei & Lin, Yong-gang, 2015. "Fuzzy terminal sliding mode control for extracting maximum marine current energy," Energy, Elsevier, vol. 90(P1), pages 258-265.
    23. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
    24. Petković, Dalibor & Ćojbašić, Žarko & Nikolić, Vlastimir & Shamshirband, Shahaboddin & Mat Kiah, Miss Laiha & Anuar, Nor Badrul & Abdul Wahab, Ainuddin Wahid, 2014. "Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission," Energy, Elsevier, vol. 64(C), pages 868-874.
    25. Giallanza, A. & Porretto, M. & Cannizzaro, L. & Marannano, G., 2017. "Analysis of the maximization of wind turbine energy yield using a continuously variable transmission system," Renewable Energy, Elsevier, vol. 102(PB), pages 481-486.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Chao & Xiao, Yiqing & Xu, You-lin & Peng, Yi-xin & Hu, Gang & Zhu, Songye, 2018. "Optimization of blade pitch in H-rotor vertical axis wind turbines through computational fluid dynamics simulations," Applied Energy, Elsevier, vol. 212(C), pages 1107-1125.
    2. Dai, Juchuan & He, Tao & Li, Mimi & Long, Xin, 2021. "Performance study of multi-source driving yaw system for aiding yaw control of wind turbines," Renewable Energy, Elsevier, vol. 163(C), pages 154-171.
    3. Mahdi Abkar, 2018. "Theoretical Modeling of Vertical-Axis Wind Turbine Wakes," Energies, MDPI, vol. 12(1), pages 1-10, December.
    4. Bizon, Nicu, 2018. "Optimal operation of fuel cell/wind turbine hybrid power system under turbulent wind and variable load," Applied Energy, Elsevier, vol. 212(C), pages 196-209.
    5. Lin, Zhongwei & Chen, Zhenyu & Liu, Jizhen & Wu, Qiuwei, 2019. "Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy," Applied Energy, Elsevier, vol. 236(C), pages 307-317.
    6. Yosry, Ahmed Gharib & Álvarez, Eduardo Álvarez & Valdés, Rodolfo Espina & Pandal, Adrián & Marigorta, Eduardo Blanco, 2023. "Experimental and multiphase modeling of small vertical-axis hydrokinetic turbine with free-surface variations," Renewable Energy, Elsevier, vol. 203(C), pages 788-801.
    7. Xu, You-Lin & Peng, Yi-Xin & Zhan, Sheng, 2019. "Optimal blade pitch function and control device for high-solidity straight-bladed vertical axis wind turbines," Applied Energy, Elsevier, vol. 242(C), pages 1613-1625.
    8. Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhao, Yongsheng, 2020. "Investigation of V-shaped blade for the performance improvement of vertical axis wind turbines," Applied Energy, Elsevier, vol. 260(C).
    9. Chong, Wen-Tong & Muzammil, Wan Khairul & Wong, Kok-Hoe & Wang, Chin-Tsan & Gwani, Mohammed & Chu, Yung-Jeh & Poh, Sin-Chew, 2017. "Cross axis wind turbine: Pushing the limit of wind turbine technology with complementary design," Applied Energy, Elsevier, vol. 207(C), pages 78-95.
    10. Bundi, Josephat Machoka & Ban, Xiaojun & Wekesa, David Wafula & Ding, Shuchen, 2020. "Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques," Renewable Energy, Elsevier, vol. 161(C), pages 756-765.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    2. Elkhoury, M. & Kiwata, T. & Nagao, K. & Kono, T. & ElHajj, F., 2018. "Wind tunnel experiments and Delayed Detached Eddy Simulation of a three-bladed micro vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 63-74.
    3. Lei, Hang & Zhou, Dai & Lu, Jiabao & Chen, Caiyong & Han, Zhaolong & Bao, Yan, 2017. "The impact of pitch motion of a platform on the aerodynamic performance of a floating vertical axis wind turbine," Energy, Elsevier, vol. 119(C), pages 369-383.
    4. Lei, Hang & Zhou, Dai & Bao, Yan & Chen, Caiyong & Ma, Ning & Han, Zhaolong, 2017. "Numerical simulations of the unsteady aerodynamics of a floating vertical axis wind turbine in surge motion," Energy, Elsevier, vol. 127(C), pages 1-17.
    5. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2017. "Effect of rotor aspect ratio and solidity on a straight-bladed vertical axis wind turbine in three-dimensional analysis by the panel method," Energy, Elsevier, vol. 121(C), pages 1-9.
    6. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Mori, Naoya, 2017. "Investigation of wake characteristics of a Horizontal Axis Wind Turbine in vertical axis direction with field experiments," Energy, Elsevier, vol. 141(C), pages 262-272.
    8. Antar, E. & Elkhoury, M., 2019. "Parametric sizing optimization process of a casing for a Savonius Vertical Axis Wind Turbine," Renewable Energy, Elsevier, vol. 136(C), pages 127-138.
    9. Lin, Zhongwei & Chen, Zhenyu & Liu, Jizhen & Wu, Qiuwei, 2019. "Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy," Applied Energy, Elsevier, vol. 236(C), pages 307-317.
    10. Xu, Lei & Hou, Lei & Zhu, Zhenyu & Li, Yu & Liu, Jiaquan & Lei, Ting & Wu, Xingguang, 2021. "Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm," Energy, Elsevier, vol. 222(C).
    11. Francesco Bottiglione & Giacomo Mantriota & Marco Valle, 2018. "Power-Split Hydrostatic Transmissions for Wind Energy Systems," Energies, MDPI, vol. 11(12), pages 1-15, December.
    12. Tahani, Mojtaba & Rabbani, Ali & Kasaeian, Alibakhsh & Mehrpooya, Mehdi & Mirhosseini, Mojtaba, 2017. "Design and numerical investigation of Savonius wind turbine with discharge flow directing capability," Energy, Elsevier, vol. 130(C), pages 327-338.
    13. Kim, Dongwoo & Song, Kang Sub & Lim, Junyub & Kim, Yongchan, 2018. "Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions," Energy, Elsevier, vol. 155(C), pages 117-127.
    14. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    15. Neshat, Mehdi & Nezhad, Meysam Majidi & Abbasnejad, Ehsan & Mirjalili, Seyedali & Groppi, Daniele & Heydari, Azim & Tjernberg, Lina Bertling & Astiaso Garcia, Davide & Alexander, Bradley & Shi, Qinfen, 2021. "Wind turbine power output prediction using a new hybrid neuro-evolutionary method," Energy, Elsevier, vol. 229(C).
    16. Wang, Feng & Chen, Jincheng & Xu, Bing & Stelson, Kim A., 2019. "Improving the reliability and energy production of large wind turbine with a digital hydrostatic drivetrain," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    17. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Visualization of the flow field and aerodynamic force on a Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 111(C), pages 57-67.
    18. Xu, Wenhao & Li, Gaohua & Zheng, Xiaobo & Li, Ye & Li, Shoutu & Zhang, Chen & Wang, Fuxin, 2021. "High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part I, wind turbines on the side of single building," Renewable Energy, Elsevier, vol. 177(C), pages 461-474.
    19. Yanzhao Yang & Zhiping Guo & Qing Song & Yanfeng Zhang & Qing’an Li, 2018. "Effect of Blade Pitch Angle on the Aerodynamic Characteristics of a Straight-bladed Vertical Axis Wind Turbine Based on Experiments and Simulations," Energies, MDPI, vol. 11(6), pages 1-15, June.
    20. Zhang, Yanfeng & Guo, Zhiping & Zhu, Xinyu & Li, Yuan & Song, Xiaowen & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Li, Qing’an, 2022. "Investigation of aerodynamic forces and flow field of an H-type vertical axis wind turbine based on bionic airfoil," Energy, Elsevier, vol. 242(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:199:y:2017:i:c:p:479-494. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.