IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i21p5260-d1504157.html
   My bibliography  Save this article

Advanced Modeling of Hydrogen Turbines Using Generalized Conformable Calculus

Author

Listed:
  • Oscar Oswaldo Sánchez-Sánchez

    (Departament of Physics and Mathematics, Universidad Iberoamericana, Prolongación Paseo de Reforma 880, Lomas de Santa Fe, Ciudad de México 01219, Mexico
    These authors contributed equally to this work.)

  • Josué Neftalí Gutiérrez-Corona

    (Departament of Physics and Mathematics, Universidad Iberoamericana, Prolongación Paseo de Reforma 880, Lomas de Santa Fe, Ciudad de México 01219, Mexico
    These authors contributed equally to this work.)

  • Marco Antonio Polo-Labarrios

    (Departament of Physics and Mathematics, Universidad Iberoamericana, Prolongación Paseo de Reforma 880, Lomas de Santa Fe, Ciudad de México 01219, Mexico
    Energy Resources Engineering Area, Universidad Autónoma Metropolitana Unidad Iztapalapa, Av. San Rafael Atlixco 186, Ciudad de México 09340, Mexico
    Department of Energy Systems, Universidad Nacional Autónoma de México, Av. Universidad 3000, Ciudad Universitaria, Coyoacán, Ciudad de México 04510, Mexico
    These authors contributed equally to this work.)

  • Guillermo Fernandez-Anaya

    (Departament of Physics and Mathematics, Universidad Iberoamericana, Prolongación Paseo de Reforma 880, Lomas de Santa Fe, Ciudad de México 01219, Mexico
    These authors contributed equally to this work.)

Abstract

This article addresses critical challenges in the transition to clean energy sources by highlighting the importance of advanced mathematical modeling and computational techniques in turbine design and operation. Specifically, we extend and generalize the work of Camporeale to advance the modeling of hydrogen turbine systems. By utilizing conformable calculus, we develop dynamic equations that analyze key aspects of turbine performance, including temperature variations in turbine blades, angular velocities of rotating shafts, and mass–energy balances within the plenum and combustion chamber. Furthermore, we incorporate Kirchhoff’s equation in its generalized conformable integral form, enhancing the precision of energy balance calculations and improving the representation of heat transfer processes in the combustion chamber. This methodology introduces novel perspectives in hydrogen turbine research, contributing to the advancement of sustainable and efficient technologies. Our comprehensive approach aims to provide more accurate and efficient predictions of turbine behavior, thereby impacting the design and optimization of hydrogen-based clean energy systems.

Suggested Citation

  • Oscar Oswaldo Sánchez-Sánchez & Josué Neftalí Gutiérrez-Corona & Marco Antonio Polo-Labarrios & Guillermo Fernandez-Anaya, 2024. "Advanced Modeling of Hydrogen Turbines Using Generalized Conformable Calculus," Energies, MDPI, vol. 17(21), pages 1-30, October.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5260-:d:1504157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/21/5260/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/21/5260/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hübner, G.R. & Pinheiro, H. & de Souza, C.E. & Franchi, C.M. & da Rosa, L.D. & Dias, J.P., 2021. "Detection of mass imbalance in the rotor of wind turbines using Support Vector Machine," Renewable Energy, Elsevier, vol. 170(C), pages 49-59.
    2. Shafiqur Rehman & Salman A. Khan & Luai M. Alhems, 2020. "A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    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. Yang Ni & Bin Peng & Jiayao Wang & Farshad Golnary & Wei Li, 2023. "A Short Review on the Time-Domain Numerical Simulations for Structural Responses in Horizontal-Axis Offshore Wind Turbines," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    2. Alphan, H., 2021. "Modelling potential visibility of wind turbines: A geospatial approach for planning and impact mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Xing, Zuoxia & Chen, Mingyang & Cui, Jia & Chen, Zhe & Xu, Jian, 2022. "Detection of magnitude and position of rotor aerodynamic imbalance of wind turbines using Convolutional Neural Network," Renewable Energy, Elsevier, vol. 197(C), pages 1020-1033.
    4. Mehlan, Felix C. & Nejad, Amir R., 2023. "Rotor imbalance detection and diagnosis in floating wind turbines by means of drivetrain condition monitoring," Renewable Energy, Elsevier, vol. 212(C), pages 70-81.

    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:jeners:v:17:y:2024:i:21:p:5260-:d:1504157. 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.