IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v304y2024ics036054422401747x.html
   My bibliography  Save this article

Circuit representation of ducted hydrokinetic turbines based on blade element momentum method

Author

Listed:
  • Shan, Xin
  • Bilgen, Onur

Abstract

Hydrokinetic turbines are designed and deployed worldwide due to the vast scale of hydrokinetic energy existing in tidal streams, ocean currents, and riverine flow. Duct augmentation is a design feature potentially to improve power extraction, reduce maximum stresses, and reduce the cost of electricity. However, there is a lack of computationally efficient and accurate predictive models to evaluate and compare ducted and open turbines. This research proposes a lumped circuit representation model for ducted hydrokinetic turbines. The equivalent duct, rotor, and wake resistances are derived from the control volume analysis based on the axial momentum theory and blade element momentum method. The wake resistance, which represents the viscous mixing loss in the very far wake, is critical for turbine farm design. The duct resistances, which depend on the duct thrust, efficiency, and duct-rotor interactions are identified by computational fluid dynamics. Based on the proposed model, parametric investigations of distributed rotor thrust, torque, power, and wake loss for different duct and blade geometries are conducted. The model can facilitate preliminary parametric design, co-design, real-time control to enhance power extraction and dynamic stabilities, and turbine farm design. A design optimization case is demonstrated to illustrate the utility of the proposed model.

Suggested Citation

  • Shan, Xin & Bilgen, Onur, 2024. "Circuit representation of ducted hydrokinetic turbines based on blade element momentum method," Energy, Elsevier, vol. 304(C).
  • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s036054422401747x
    DOI: 10.1016/j.energy.2024.131974
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422401747X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.131974?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. Keramat Siavash, Nemat & Najafi, G. & Tavakkoli Hashjin, Teymour & Ghobadian, Barat & Mahmoodi, Esmail, 2020. "Mathematical modeling of a horizontal axis shrouded wind turbine," Renewable Energy, Elsevier, vol. 146(C), pages 856-866.
    2. Bontempo, R. & Manna, M., 2016. "Effects of the duct thrust on the performance of ducted wind turbines," Energy, Elsevier, vol. 99(C), pages 274-287.
    3. Kumar, Vedant & Saha, Sandeep, 2019. "Theoretical performance estimation of shrouded-twin-rotor wind turbines using the actuator disk theory," Renewable Energy, Elsevier, vol. 134(C), pages 961-969.
    4. Ebdon, Tim & Allmark, Matthew J. & O’Doherty, Daphne M. & Mason-Jones, Allan & O’Doherty, Tim & Germain, Gregory & Gaurier, Benoit, 2021. "The impact of turbulence and turbine operating condition on the wakes of tidal turbines," Renewable Energy, Elsevier, vol. 165(P2), pages 96-116.
    5. Yuji Ohya & Takashi Karasudani, 2010. "A Shrouded Wind Turbine Generating High Output Power with Wind-lens Technology," Energies, MDPI, vol. 3(4), pages 1-16, March.
    6. Rommel G. Regis & Christine A. Shoemaker, 2007. "A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions," INFORMS Journal on Computing, INFORMS, vol. 19(4), pages 497-509, November.
    7. Bontempo, R. & Manna, M., 2020. "Diffuser augmented wind turbines: Review and assessment of theoretical models," Applied Energy, Elsevier, vol. 280(C).
    Full references (including those not matched with items on IDEAS)

    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. Nunes, Matheus M. & Brasil Junior, Antonio C.P. & Oliveira, Taygoara F., 2020. "Systematic review of diffuser-augmented horizontal-axis turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Mohammad Hassan Ranjbar & Behnam Rafiei & Seyyed Abolfazl Nasrazadani & Kobra Gharali & Madjid Soltani & Armughan Al-Haq & Jatin Nathwani, 2021. "Power Enhancement of a Vertical Axis Wind Turbine Equipped with an Improved Duct," Energies, MDPI, vol. 14(18), pages 1-16, September.
    3. Dogru, Safak & Yilmaz, Oktay, 2024. "Extensive design and aerodynamic performance investigation of diffuser augmented wind turbine (DAWT) guided by generalized actuator disc theory," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Bontempo, R. & Manna, M., 2020. "Diffuser augmented wind turbines: Review and assessment of theoretical models," Applied Energy, Elsevier, vol. 280(C).
    5. Rahmatian, Mohammad Ali & Hashemi Tari, Pooyan & Majidi, Sahand & Mojaddam, Mohammad, 2023. "Experimental study of the effect of the duct on dual co-axial horizontal axis wind turbines and the effect of rotors diameter ratio and distance on increasing power coefficient," Energy, Elsevier, vol. 284(C).
    6. Saleem, Arslan & Kim, Man-Hoe, 2020. "Aerodynamic performance optimization of an airfoil-based airborne wind turbine using genetic algorithm," Energy, Elsevier, vol. 203(C).
    7. Keramat Siavash, Nemat & Najafi, G. & Tavakkoli Hashjin, Teymour & Ghobadian, Barat & Mahmoodi, Esmail, 2020. "Mathematical modeling of a horizontal axis shrouded wind turbine," Renewable Energy, Elsevier, vol. 146(C), pages 856-866.
    8. Leloudas, Stavros N. & Lygidakis, Georgios N. & Eskantar, Alexandros I. & Nikolos, Ioannis K., 2020. "A robust methodology for the design optimization of diffuser augmented wind turbine shrouds," Renewable Energy, Elsevier, vol. 150(C), pages 722-742.
    9. Vaz, Jerson R.P. & Wood, David H., 2018. "Effect of the diffuser efficiency on wind turbine performance," Renewable Energy, Elsevier, vol. 126(C), pages 969-977.
    10. Shigeo Yoshida & Masataka Motoyama & Peter Jamieson & Koij Matsuoka, 2021. "Diffuser Total Efficiency Using Generalized Actuator Disc Model and Its Maximization Method," Energies, MDPI, vol. 14(4), pages 1-16, February.
    11. Hesami, Ali & Nikseresht, Amir H., 2023. "Towards development and optimization of the Savonius wind turbine incorporated with a wind-lens," Energy, Elsevier, vol. 274(C).
    12. Saleem, Arslan & Kim, Man-Hoe, 2019. "Performance of buoyant shell horizontal axis wind turbine under fluctuating yaw angles," Energy, Elsevier, vol. 169(C), pages 79-91.
    13. Koichi Watanabe & Yuji Ohya, 2021. "A Simple Theory and Performance Prediction for a Shrouded Wind Turbine with a Brimmed Diffuser," Energies, MDPI, vol. 14(12), pages 1-15, June.
    14. Nardecchia, Fabio & Groppi, Daniele & Astiaso Garcia, Davide & Bisegna, Fabio & de Santoli, Livio, 2021. "A new concept for a mini ducted wind turbine system," Renewable Energy, Elsevier, vol. 175(C), pages 610-624.
    15. Peace-Maker Masukume & Golden Makaka & Patrick Mukumba, 2018. "Optimization of the Power Output of a Bare Wind Turbine by the Use of a Plain Conical Diffuser," Sustainability, MDPI, vol. 10(8), pages 1-7, July.
    16. Juliane Müller, 2017. "SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems," INFORMS Journal on Computing, INFORMS, vol. 29(4), pages 581-596, November.
    17. Shaikh Zishan & Altaf Hossain Molla & Haroon Rashid & Kok Hoe Wong & Ahmad Fazlizan & Molla Shahadat Hossain Lipu & Mohd Tariq & Omar Mutab Alsalami & Mahidur R. Sarker, 2023. "Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources," Sustainability, MDPI, vol. 15(21), pages 1-18, October.
    18. Sidaard Gunasekaran & Madison Peyton & Neal Novotny, 2022. "Aerodynamic Interactions of Wind Lenses at Close Proximities," Energies, MDPI, vol. 15(13), pages 1-17, June.
    19. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    20. Ahmad Fazlizan & Wen Tong Chong & Sook Yee Yip & Wooi Ping Hew & Sin Chew Poh, 2015. "Design and Experimental Analysis of an Exhaust Air Energy Recovery Wind Turbine Generator," Energies, MDPI, vol. 8(7), pages 1-19, June.

    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:energy:v:304:y:2024:i:c:s036054422401747x. 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.journals.elsevier.com/energy .

    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.