IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v89y2015icp324-333.html
   My bibliography  Save this article

Adaptive neuro-fuzzy estimation of diffuser effects on wind turbine performance

Author

Listed:
  • Nikolić, Vlastimir
  • Petković, Dalibor
  • Shamshirband, Shahaboddin
  • Ćojbašić, Žarko

Abstract

Wind power is generating interest amongst many countries to produce sustainable electrical power. It is well known that the main drawback of wind power is the inherent variable behavior of wind speed. Significant research has been carried out to improve the performance of the wind turbines and establish the power system stability. As power output is proportional to the cubic power of the incident airspeed, any small increase in the incident wind yields a large increase in the energy output. One of the more promising advanced concepts for overcoming the inherent variable behavior of wind speed is the DAWT (diffuser-augmented wind turbine). The diffuser or flanged diffuser generates separation regions behind it, where low-pressure regions appear to draw more wind through the rotors compared to a bare wind turbine. Thus, the output power of the DAWT is much larger than for a unshrouded turbine. To estimate rotor performance of the diffuser-augmented wind turbine, this paper constructed a process which simulates the power output, torque output and rotational speed of the rotor in regard to diffuser effect and wind input speed with ANFIS (adaptive neuro-fuzzy) method. This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated.

Suggested Citation

  • Nikolić, Vlastimir & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko, 2015. "Adaptive neuro-fuzzy estimation of diffuser effects on wind turbine performance," Energy, Elsevier, vol. 89(C), pages 324-333.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:324-333
    DOI: 10.1016/j.energy.2015.05.126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215007483
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.05.126?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. Booker, J.D. & Mellor, P.H. & Wrobel, R. & Drury, D., 2010. "A compact, high efficiency contra-rotating generator suitable for wind turbines in the urban environment," Renewable Energy, Elsevier, vol. 35(9), pages 2027-2033.
    2. Igra, Ozer, 1979. "Cost-effectiveness of the vortex-augmented wind turbine," Energy, Elsevier, vol. 4(1), pages 119-130.
    3. Kirke, B.K., 2011. "Tests on ducted and bare helical and straight blade Darrieus hydrokinetic turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3013-3022.
    4. Grant, Andrew & Johnstone, Cameron & Kelly, Nick, 2008. "Urban wind energy conversion: The potential of ducted turbines," Renewable Energy, Elsevier, vol. 33(6), pages 1157-1163.
    5. Millward-Hopkins, J.T. & Tomlin, A.S. & Ma, L. & Ingham, D.B. & Pourkashanian, M., 2013. "Assessing the potential of urban wind energy in a major UK city using an analytical model," Renewable Energy, Elsevier, vol. 60(C), pages 701-710.
    6. Grassmann, H. & Bet, F. & Cabras, G. & Ceschia, M. & Cobai, D. & DelPapa, C., 2003. "A partially static turbine—first experimental results," Renewable Energy, Elsevier, vol. 28(11), pages 1779-1785.
    7. Chong, W.T. & Poh, S.C. & Fazlizan, A. & Yip, S.Y. & Chang, C.K. & Hew, W.P., 2013. "Early development of an energy recovery wind turbine generator for exhaust air system," Applied Energy, Elsevier, vol. 112(C), pages 568-575.
    8. 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.
    9. Hu, Ssu-Yuan & Cheng, Jung-Ho, 2008. "Innovatory designs for ducted wind turbines," Renewable Energy, Elsevier, vol. 33(7), pages 1491-1498.
    10. Abohela, Islam & Hamza, Neveen & Dudek, Steven, 2013. "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 1106-1118.
    11. Matsushima, Toshio & Takagi, Shinya & Muroyama, Seiichi, 2006. "Characteristics of a highly efficient propeller type small wind turbine with a diffuser," Renewable Energy, Elsevier, vol. 31(9), pages 1343-1354.
    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. Khani, Mohammad Sadegh & Shahsavani, Younes & Mehraein, Mojtaba & Kisi, Ozgur, 2023. "Performance evaluation of the savonius hydrokinetic turbine using soft computing techniques," Renewable Energy, Elsevier, vol. 215(C).
    2. Halabi, Laith M. & Mekhilef, Saad & Hossain, Monowar, 2018. "Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation," Applied Energy, Elsevier, vol. 213(C), pages 247-261.
    3. Yazar, Isil & Yavuz, Hasan Serhan & Yavuz, Arzu Altin, 2017. "Comparison of various regression models for predicting compressor and turbine performance parameters," Energy, Elsevier, vol. 140(P2), pages 1398-1406.
    4. Mehrbakhsh Nilashi & Fausto Cavallaro & Abbas Mardani & Edmundas Kazimieras Zavadskas & Sarminah Samad & Othman Ibrahim, 2018. "Measuring Country Sustainability Performance Using Ensembles of Neuro-Fuzzy Technique," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    5. 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.

    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. Manganhar, Abdul Latif & Rajpar, Altaf Hussain & Luhur, Muhammad Ramzan & Samo, Saleem Raza & Manganhar, Mehtab, 2019. "Performance analysis of a savonius vertical axis wind turbine integrated with wind accelerating and guiding rotor house," Renewable Energy, Elsevier, vol. 136(C), pages 512-520.
    2. Chong, W.T. & Pan, K.C. & Poh, S.C. & Fazlizan, A. & Oon, C.S. & Badarudin, A. & Nik-Ghazali, N., 2013. "Performance investigation of a power augmented vertical axis wind turbine for urban high-rise application," Renewable Energy, Elsevier, vol. 51(C), pages 388-397.
    3. Daniel Micallef & Gerard Van Bussel, 2018. "A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges," Energies, MDPI, vol. 11(9), pages 1-27, August.
    4. Anbarsooz, M. & Amiri, M. & Rashidi, I., 2019. "A novel curtain design to enhance the aerodynamic performance of Invelox: A steady-RANS numerical simulation," Energy, Elsevier, vol. 168(C), pages 207-221.
    5. 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).
    6. 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.
    7. Hosseini, S. Rasoul & Ganji, Davoud Domiri, 2020. "A novel design of nozzle-diffuser to enhance performance of INVELOX wind turbine," Energy, Elsevier, vol. 198(C).
    8. 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.
    9. 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).
    10. Mauro, S. & Brusca, S. & Lanzafame, R. & Messina, M., 2019. "CFD modeling of a ducted Savonius wind turbine for the evaluation of the blockage effects on rotor performance," Renewable Energy, Elsevier, vol. 141(C), pages 28-39.
    11. Yi Song Liu & Tan Yigitcanlar & Mirko Guaralda & Kenan Degirmenci & Aaron Liu & Michael Kane, 2022. "Leveraging the Opportunities of Wind for Cities through Urban Planning and Design: A PRISMA Review," Sustainability, MDPI, vol. 14(18), pages 1-78, September.
    12. Giulio Vita & Anina Šarkić-Glumac & Hassan Hemida & Simone Salvadori & Charalampos Baniotopoulos, 2020. "On the Wind Energy Resource above High-Rise Buildings," Energies, MDPI, vol. 13(14), pages 1-23, July.
    13. 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.
    14. Liu, Jie & Song, Mengxuan & Chen, Kai & Wu, Bingheng & Zhang, Xing, 2016. "An optimization methodology for wind lens profile using Computational Fluid Dynamics simulation," Energy, Elsevier, vol. 109(C), pages 602-611.
    15. Mann, Harjeet S. & Singh, Pradeep K., 2020. "Energy recovery ducted turbine (ERDT) system for chimney flue gases - A CFD based analysis to study the effect of number of blade and diffuser angle," Energy, Elsevier, vol. 213(C).
    16. Toja-Silva, Francisco & Colmenar-Santos, Antonio & Castro-Gil, Manuel, 2013. "Urban wind energy exploitation systems: Behaviour under multidirectional flow conditions—Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 364-378.
    17. Tummala, Abhishiktha & Velamati, Ratna Kishore & Sinha, Dipankur Kumar & Indraja, V. & Krishna, V. Hari, 2016. "A review on small scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1351-1371.
    18. Jeongsu Park & Hyung-Jo Jung & Seung-Woo Lee & Jiyoung Park, 2015. "A New Building-Integrated Wind Turbine System Utilizing the Building," Energies, MDPI, vol. 8(10), pages 1-25, October.
    19. Wang, Wen-Xue & Matsubara, Terutake & Hu, Junfeng & Odahara, Satoru & Nagai, Tomoyuki & Karasutani, Takashi & Ohya, Yuji, 2015. "Experimental investigation into the influence of the flanged diffuser on the dynamic behavior of CFRP blade of a shrouded wind turbine," Renewable Energy, Elsevier, vol. 78(C), pages 386-397.
    20. 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.

    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:89:y:2015:i:c:p:324-333. 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.