IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v147y2020ip1p409-422.html
   My bibliography  Save this article

A numerical study on the performance of a superhydrophobic coated very low head (VLH) axial hydraulic turbine using entropy generation method

Author

Listed:
  • Sotoude Haghighi, Mohammad Hadi
  • Mirghavami, Seyed Mohammad
  • Ghorani, Mohammad Mahdi
  • Riasi, Alireza
  • Chini, Seyed Farshid

Abstract

Fluids slip on superhydrophobic surfaces. The slip velocity is modeled by Navier's slip-length. A user defined function (UDF) in ANSYS Fluent 15.0 was developed to implement the slip boundary condition. The UDF was validated for different values of slip length by two benchmark solutions in laminar and turbulent flows. We utilized a periodic approach to model the VLH turbine in steady-state condition. For modeling, single-phase is assumed and the shear stress transport model was used for turbulence modeling. The results of employing partial slip at different positions of the runner blade and other turbine components with a constant slip-length of 50 μm showed an approximately 4% improvement in the turbine hydraulic efficiency, at the design point and when only the runner blade is superhydrophobic. In addition to the design point analysis, the turbine efficiency values were studied at part and high load ranges. The entropy generation method was applied to the output results of the simulated cases to determine the energy dissipating zones and to detect the effect of superhydrophobic walls on the dissipation mechanisms. Since this work is the first numerical evaluation of superhydrophobic surfaces for VLH, the conclusions can be meaningful for future numerical and experimental studies.

Suggested Citation

  • Sotoude Haghighi, Mohammad Hadi & Mirghavami, Seyed Mohammad & Ghorani, Mohammad Mahdi & Riasi, Alireza & Chini, Seyed Farshid, 2020. "A numerical study on the performance of a superhydrophobic coated very low head (VLH) axial hydraulic turbine using entropy generation method," Renewable Energy, Elsevier, vol. 147(P1), pages 409-422.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:409-422
    DOI: 10.1016/j.renene.2019.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119313333
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.09.003?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. Ghadimi, A.A. & Razavi, F. & Mohammadian, B., 2011. "Determining optimum location and capacity for micro hydropower plants in Lorestan province in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4125-4131.
    2. Shehata, Ahmed S. & Saqr, Khalid M. & Xiao, Qing & Shehadeh, Mohamed F. & Day, Alexander, 2016. "Performance analysis of wells turbine blades using the entropy generation minimization method," Renewable Energy, Elsevier, vol. 86(C), pages 1123-1133.
    3. Sotoude Haghighi, M.H. & Mirghavami, S.M. & Chini, S.F. & Riasi, A., 2019. "Developing a method to design and simulation of a very low head axial turbine with adjustable rotor blades," Renewable Energy, Elsevier, vol. 135(C), pages 266-276.
    4. Raynaud, D. & Hingray, B. & François, B. & Creutin, J.D., 2018. "Energy droughts from variable renewable energy sources in European climates," Renewable Energy, Elsevier, vol. 125(C), pages 578-589.
    5. Rodríguez-Monroy, Carlos & Mármol-Acitores, Gloria & Nilsson-Cifuentes, Gabriel, 2018. "Electricity generation in Chile using non-conventional renewable energy sources – A focus on biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 937-945.
    6. Sample, James E. & Duncan, Niall & Ferguson, Michael & Cooksley, Susan, 2015. "Scotland׳s hydropower: Current capacity, future potential and the possible impacts of climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 111-122.
    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. Yu, An & Li, Longwei & Ji, Jingjing & Tang, Qinghong, 2022. "Numerical study on the energy evaluation characteristics in a pump turbine based on the thermodynamic entropy theory," Renewable Energy, Elsevier, vol. 195(C), pages 766-779.
    2. Li, Puxi & Xiao, Ruofu & Tao, Ran, 2022. "Study of vortex rope based on flow energy dissipation and vortex identification," Renewable Energy, Elsevier, vol. 198(C), pages 1065-1081.
    3. Ohiemi, Israel Enema & Sunsheng, Yang & Singh, Punit & Li, Yanjun & Osman, Fareed, 2023. "Evaluation of energy loss in a low-head axial flow turbine under different blade numbers using entropy production method," Energy, Elsevier, vol. 274(C).
    4. Balavand, Mohsen & Bahreini, Amir & Riasi, Alireza, 2024. "Performance optimization of a very low head (VLH) axial turbine using surrogate model," Renewable Energy, Elsevier, vol. 229(C).
    5. Chen, Weisheng & Li, Yaojun & Liu, Zhuqing & Hong, Yiping, 2023. "Understanding of energy conversion and losses in a centrifugal pump impeller," Energy, Elsevier, vol. 263(PB).
    6. Ghorani, Mohammad Mahdi & Sotoude Haghighi, Mohammad Hadi & Maleki, Ali & Riasi, Alireza, 2020. "A numerical study on mechanisms of energy dissipation in a pump as turbine (PAT) using entropy generation theory," Renewable Energy, Elsevier, vol. 162(C), pages 1036-1053.
    7. Jin, Faye & Wang, Huanmao & Luo, Yongyao & Presas, Alexandre & Bi, Huili & Wang, Zhengwei & Lin, Kai & Lei, Xingchun & Yang, Xiaolong, 2023. "Visualization research of energy dissipation in a pump turbine unit during turbine mode's starting up," Renewable Energy, Elsevier, vol. 217(C).
    8. Ahn, Soo-Hwang & Tian, Hong & Cao, Jingwei & Duo, Wenzhi & Wang, Zhengwei & Cui, Jianhua & Chen, Lin & Li, Yang & Huang, Guoping & Yu, Yunpeng, 2023. "Hydraulic performances of a bulb turbine with full field reservoir model based on entropy production analysis," Renewable Energy, Elsevier, vol. 211(C), pages 347-360.
    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. Yu, An & Tang, Yibo & Tang, Qinghong & Cai, Jianguo & Zhao, Lei & Ge, Xinfeng, 2022. "Energy analysis of Francis turbine for various mass flow rate conditions based on entropy production theory," Renewable Energy, Elsevier, vol. 183(C), pages 447-458.
    11. Wei Zang & Yuan Zheng & Yuquan Zhang & Xiangfeng Lin & Yanwei Li & Emmanuel Fernandez-Rodriguez, 2022. "Numerical Investigation on a Diffuser-Augmented Horizontal Axis Tidal Stream Turbine with the Entropy Production Theory," Mathematics, MDPI, vol. 11(1), pages 1-18, December.

    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. Ohiemi, Israel Enema & Sunsheng, Yang & Singh, Punit & Li, Yanjun & Osman, Fareed, 2023. "Evaluation of energy loss in a low-head axial flow turbine under different blade numbers using entropy production method," Energy, Elsevier, vol. 274(C).
    2. Plain, N. & Hingray, B. & Mathy, S., 2019. "Accounting for low solar resource days to size 100% solar microgrids power systems in Africa," Renewable Energy, Elsevier, vol. 131(C), pages 448-458.
    3. Dallison, Richard J.H. & Patil, Sopan D., 2023. "Impact of climate change on hydropower potential in the UK and Ireland," Renewable Energy, Elsevier, vol. 207(C), pages 611-628.
    4. Bracken, Cameron & Voisin, Nathalie & Burleyson, Casey D. & Campbell, Allison M. & Hou, Z. Jason & Broman, Daniel, 2024. "Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States," Renewable Energy, Elsevier, vol. 220(C).
    5. Aina Maimó-Far & Alexis Tantet & Víctor Homar & Philippe Drobinski, 2020. "Predictable and Unpredictable Climate Variability Impacts on Optimal Renewable Energy Mixes: The Example of Spain," Energies, MDPI, vol. 13(19), pages 1-25, October.
    6. Otero, Noelia & Martius, Olivia & Allen, Sam & Bloomfield, Hannah & Schaefli, Bettina, 2022. "A copula-based assessment of renewable energy droughts across Europe," Renewable Energy, Elsevier, vol. 201(P1), pages 667-677.
    7. Punys, Petras & Kasiulis, Egidijus & Kvaraciejus, Algis & Dumbrauskas, Antanas & Vyčienė, Gitana & Šilinis, Linas, 2017. "Impacts of the EU and national environmental legislation on tapping hydropower resources in Lithuania – A lowland country," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 495-504.
    8. Yang, Sun Sheng & Zhao, Erce & Fang, Tian & Kesharwani, Siddhi & Chaudhary, Shubham & Singh, Punit, 2023. "Towards an optimum pitch to chord ratio and establishing its scaling effects in low head Kaplan propellers," Renewable Energy, Elsevier, vol. 204(C), pages 750-772.
    9. Năstase, Gabriel & Şerban, Alexandru & Năstase, Alina Florentina & Dragomir, George & Brezeanu, Alin Ionuţ & Iordan, Nicolae Fani, 2017. "Hydropower development in Romania. A review from its beginnings to the present," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 297-312.
    10. Wajahat Ullah Khan Tareen & Zuha Anjum & Nabila Yasin & Leenah Siddiqui & Ifzana Farhat & Suheel Abdullah Malik & Saad Mekhilef & Mehdi Seyedmahmoudian & Ben Horan & Mohamed Darwish & Muhammad Aamir &, 2018. "The Prospective Non-Conventional Alternate and Renewable Energy Sources in Pakistan—A Focus on Biomass Energy for Power Generation, Transportation, and Industrial Fuel," Energies, MDPI, vol. 11(9), pages 1-49, September.
    11. Jakub Jurasz & Jerzy Mikulik & Paweł B. Dąbek & Mohammed Guezgouz & Bartosz Kaźmierczak, 2021. "Complementarity and ‘Resource Droughts’ of Solar and Wind Energy in Poland: An ERA5-Based Analysis," Energies, MDPI, vol. 14(4), pages 1-24, February.
    12. Operacz, Agnieszka, 2017. "The term “effective hydropower potential” based on sustainable development – an initial case study of the Raba river in Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1453-1463.
    13. Shehata, Ahmed S. & Xiao, Qing & Selim, Mohamed M. & Elbatran, A.H. & Alexander, Day, 2017. "Enhancement of performance of wave turbine during stall using passive flow control: First and second law analysis," Renewable Energy, Elsevier, vol. 113(C), pages 369-392.
    14. Nabila, Rakhmawati & Hidayat, Wahyu & Haryanto, Agus & Hasanudin, Udin & Iryani, Dewi Agustina & Lee, Sihyun & Kim, Sangdo & Kim, Soohyun & Chun, Donghyuk & Choi, Hokyung & Im, Hyuk & Lim, Jeonghwan &, 2023. "Oil palm biomass in Indonesia: Thermochemical upgrading and its utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    15. Jurasz, Jakub & Piasecki, Adam & Hunt, Julian & Zheng, Wandong & Ma, Tao & Kies, Alexander, 2022. "Building integrated pumped-storage potential on a city scale: An analysis based on geographic information systems," Energy, Elsevier, vol. 242(C).
    16. Wörman, Anders & Uvo, Cintia Bertacchi & Brandimarte, Luigia & Busse, Stefan & Crochemore, Louise & Lopez, Marc Girons & Hao, Shuang & Pechlivanidis, Ilias & Riml, Joakim, 2020. "Virtual energy storage gain resulting from the spatio-temporal coordination of hydropower over Europe," Applied Energy, Elsevier, vol. 272(C).
    17. Emmanouil, Stergios & Nikolopoulos, Efthymios I. & François, Baptiste & Brown, Casey & Anagnostou, Emmanouil N., 2021. "Evaluating existing water supply reservoirs as small-scale pumped hydroelectric storage options – A case study in Connecticut," Energy, Elsevier, vol. 226(C).
    18. Jiang, Haiyang & Du, Ershun & He, Boyu & Zhang, Ning & Wang, Peng & Li, Fuqiang & Ji, Jie, 2023. "Analysis and modeling of seasonal characteristics of renewable energy generation," Renewable Energy, Elsevier, vol. 219(P1).
    19. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    20. Młyński, Dariusz & Książek, Leszek & Bogdał, Andrzej, 2024. "Meteorological drought effect for Central Europe's hydropower potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(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:renene:v:147:y:2020:i:p1:p:409-422. 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/renewable-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.