IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i4p1707-d1341745.html
   My bibliography  Save this article

Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

Author

Listed:
  • Ngwarai Shambira

    (Physics Department, Faculty of Science & Agriculture, University of Fort Hare, Alice 5700, South Africa)

  • Golden Makaka

    (Physics Department, Faculty of Science & Agriculture, University of Fort Hare, Alice 5700, South Africa)

  • Patrick Mukumba

    (Physics Department, Faculty of Science & Agriculture, University of Fort Hare, Alice 5700, South Africa)

Abstract

Wind energy, renowned for cost-effectiveness and eco-friendliness, addresses global energy needs amid fossil fuel scarcity and environmental concerns. In low-wind speed regions, optimising wind turbine performance becomes vital and achievable by augmenting wind velocity at the turbine rotor using augmentation systems such as concentrators and diffusers. This study focuses on developing a velocity augmentation model that correctly predicts the throat velocity in an empty concentrator-diffuser-augmented wind turbine (CDaugWT) design and determines optimal geometrical parameters. Utilising response surface methodology (RSM) in Design Expert 13 and computational fluid dynamics (CFD) in ANSYS Fluent, 86 runs were analysed, optimising parameters such as diffuser and concentrator angles and lengths, throat length, and flange height. The ANOVA analysis confirmed the model’s significance ( p < 0.05). Notably, the interaction between the concentrator’s length and the diffuser’s length had the highest impact on the throat velocity. The model showed a strong correlation (R 2 = 0.9581) and adequate precision (ratio value of 49.655). A low coefficient of variation (C.V.% = 0.1149) highlighted the model’s reliability. The findings revealed a 1.953-fold increase in inlet wind speed at the throat position. Optimal geometrical parameters for the CDaugWT included a diffuser angle of 10 ° , concentrator angle of 20 ° , concentrator length of 375 mm (0.62 R t h ), diffuser length of 975 mm (1.61 R t h ), throat length of 70 mm (0.12 R t h ), and flange height of 100 mm (0.17 R t h ) where R t h is the throat radius. A desirability value of 0.9, close to 1, showed a successful optimisation. CFD simulations and RSM reduced calculation cost and time when determining optimal geometrical parameters for the CDaugWT design.

Suggested Citation

  • Ngwarai Shambira & Golden Makaka & Patrick Mukumba, 2024. "Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1707-:d:1341745
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/4/1707/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/4/1707/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shrabani Sahu & Sasmita Behera, 2022. "A review on modern control applications in wind energy conversion system," Energy & Environment, , vol. 33(2), pages 223-262, March.
    2. Rezek, Thiago J. & Camacho, Ramiro G.R. & Manzanares-Filho, Nelson, 2023. "A novel methodology for the design of diffuser-augmented hydrokinetic rotors," Renewable Energy, Elsevier, vol. 210(C), pages 524-539.
    3. Ye, Jianjun & Cheng, Yanglin & Xie, Junlong & Huang, Xiaohong & Zhang, Yuan & Hu, Siyao & Salem, Shehab & Wu, Jiejun, 2020. "Effects of divergent angle on the flow behaviors in low speed wind accelerating ducts," Renewable Energy, Elsevier, vol. 152(C), pages 1292-1301.
    4. Yasemin Ayaz Atalan & Mete Tayanç & Kamil Erkan & Abdulkadir Atalan, 2020. "Development of Nonlinear Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment: A Case Study for Turkey," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    5. Rahmatian, Mohammad Ali & Nazarian Shahrbabaki, Amin & Moeini, Seyed Peyman, 2023. "Single-objective optimization design of convergent-divergent ducts of ducted wind turbine using RSM and GA, to increase power coefficient of a small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 269(C).
    6. Badawy, Youssef E.M. & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2023. "Co-enhancements of several design parameters of an archimedes spiral turbine for hydrokinetic energy conversion," Energy, Elsevier, vol. 268(C).
    7. Sridhar, Surya & Zuber, Mohammad & B., Satish Shenoy & Kumar, Amit & Ng, Eddie Y.K. & Radhakrishnan, Jayakrishnan, 2022. "Aerodynamic comparison of slotted and non-slotted diffuser casings for Diffuser Augmented Wind Turbines (DAWT)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. S. Shikha & T.S. Bhatti & D.P. Kothari, 2005. "Air concentrating nozzles: a promising option for wind turbines," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 3(4), pages 394-412.
    9. Ghorani, Mohammad Mahdi & Karimi, Behrooz & Mirghavami, Seyed Mohammad & Saboohi, Zoheir, 2023. "A numerical study on the feasibility of electricity production using an optimized wind delivery system (Invelox) integrated with a Horizontal axis wind turbine (HAWT)," Energy, Elsevier, vol. 268(C).
    10. 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).
    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. 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).
    2. Virgilio Alfonso Murillo Rodríguez & Noé Villa Villaseñor & José Manuel Robles Solís & Omar Alejandro Guirette Barbosa, 2023. "Impact of Automation on Enhancing Energy Quality in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(17), pages 1-25, August.
    3. 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.
    4. Ashkan Safari & Hamed Kheirandish Gharehbagh & Morteza Nazari Heris, 2023. "DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm," Energies, MDPI, vol. 16(19), pages 1-22, September.
    5. 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.
    6. Shonhiwa, Chipo & Makaka, Golden, 2016. "Concentrator Augmented Wind Turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1415-1418.
    7. Refaie, Abdelaziz G. & Abdel Hameed, H.S. & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2021. "Qualitative and quantitative assessments of an Archimedes Spiral Wind Turbine performance augmented by A concentrator," Energy, Elsevier, vol. 231(C).
    8. Rahmatian, Mohammad Ali & Hashemi Tari, Pooyan & Mojaddam, Mohammad & Majidi, Sahand, 2022. "Numerical and experimental study of the ducted diffuser effect on improving the aerodynamic performance of a micro horizontal axis wind turbine," Energy, Elsevier, vol. 245(C).
    9. Yunus Emre Ayözen & Hakan İnaç & Abdulkadir Atalan & Cem Çağrı Dönmez, 2022. "E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives," Energies, MDPI, vol. 15(20), pages 1-22, October.
    10. Ainura Dyusembaeva & Nazgul Tanasheva & Ardak Tussypbayeva & Asem Bakhtybekova & Zhibek Kutumova & Sholpan Kyzdarbekova & Almat Mukhamedrakhim, 2024. "Numerical Simulation to Investigate the Effect of Adding a Fixed Blade to a Magnus Wind Turbine," Energies, MDPI, vol. 17(16), pages 1-18, August.
    11. Kwan Ouyang & Tzeng-Yuan Chen & Jun-Jie You, 2024. "Utilizing the Taguchi Method to Optimize Rotor Blade Geometry for Improved Power Output in Ducted Micro Horizontal-Axis Wind Turbines," Sustainability, MDPI, vol. 16(11), pages 1-22, May.
    12. Po-Wen Hwang & Jia-Heng Wu & Yuan-Jen Chang, 2024. "Optimization Based on Computational Fluid Dynamics and Machine Learning for the Performance of Diffuser-Augmented Wind Turbines with Inlet Shrouds," Sustainability, MDPI, vol. 16(9), pages 1-31, April.
    13. Mohamed Abd-El-Hakeem Mohamed & Hossam Seddik Abbas & Mokhtar Shouran & Salah Kamel, 2022. "A Neuro-Predictive Controller Scheme for Integration of a Basic Wind Energy Generation Unit with an Electrical Power System," Energies, MDPI, vol. 15(16), pages 1-24, August.
    14. Refaie, Abdelaziz G. & Hameed, H.S. Abdel & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2022. "Comparative investigation of the aerodynamic performance for several Shrouded Archimedes Spiral Wind Turbines," Energy, Elsevier, vol. 239(PC).
    15. Jintao Zhang & Chao Wang & Wenhao Liu & Jianyang Zhu & Yangyang Yan & Hui Zhao, 2023. "Optimization of the Energy Capture Performance of the Lift-Drag Hybrid Vertical-Axis Wind Turbine Based on the Taguchi Experimental Method and CFD Simulation," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    16. Rahmatian, Mohammad Ali & Nazarian Shahrbabaki, Amin & Moeini, Seyed Peyman, 2023. "Single-objective optimization design of convergent-divergent ducts of ducted wind turbine using RSM and GA, to increase power coefficient of a small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 269(C).
    17. Patricio A. Corbalán & Luciano E. Chiang, 2024. "Fast Power Coefficient vs. Tip–Speed Ratio Curves for Small Wind Turbines with Single-Variable Measurements following a Single Test Run," Energies, MDPI, vol. 17(5), pages 1-23, March.

    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:gam:jsusta:v:16:y:2024:i:4:p:1707-:d:1341745. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.