IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i15p3729-d1444975.html
   My bibliography  Save this article

Application of the Metalog Probability Distribution Family to Predict Energy Production by Photovoltaic Systems for the Purposes of Generating Green Hydrogen

Author

Listed:
  • Arkadiusz Małek

    (Department of Transportation and Informatics, WSEI University, 20-209 Lublin, Poland)

  • Jacek Caban

    (Department of Automation, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland)

  • Monika Stoma

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland)

  • Agnieszka Dudziak

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland)

  • Branislav Šarkan

    (Department of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Univerzitná 8215/1, 01026 Žilina, Slovakia)

Abstract

The article presents the application of the metalog family of probability distributions to predict the energy production of photovoltaic systems for the purpose of generating small amounts of green hydrogen in distributed systems. It can be used for transport purposes as well as to generate energy and heat for housing purposes. The monthly and daily amounts of energy produced by a photovoltaic system with a peak power of 6.15 kWp were analyzed using traditional statistical methods and the metalog probability distribution family. On this basis, it is possible to calculate daily and monthly amounts of hydrogen produced with accuracy from the probability distribution. Probabilistic analysis of the instantaneous power generated by the photovoltaic system was used to determine the nominal power of the hydrogen electrolyzer. In order to use all the energy produced by the photovoltaic system to produce green hydrogen, the use of a stationary energy storage device was proposed and its energy capacity was determined. The calculations contained in the article can be used to design home green hydrogen production systems and support the climate and energy transformation of small companies with a hydrogen demand of up to ¾ kg/day.

Suggested Citation

  • Arkadiusz Małek & Jacek Caban & Monika Stoma & Agnieszka Dudziak & Branislav Šarkan, 2024. "Application of the Metalog Probability Distribution Family to Predict Energy Production by Photovoltaic Systems for the Purposes of Generating Green Hydrogen," Energies, MDPI, vol. 17(15), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3729-:d:1444975
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/15/3729/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/15/3729/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edgar Sokolovskij & Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Jonas Matijošius & Andrzej Marciniak, 2023. "Selection of a Photovoltaic Carport Power for an Electric Vehicle," Energies, MDPI, vol. 16(7), pages 1-16, March.
    2. Xing Cao & Jingang Wang & Pengcheng Zhao & Haiting Xia & Yun Li & Liming Sun & Wei He, 2023. "Hydrogen Production System Using Alkaline Water Electrolysis Adapting to Fast Fluctuating Photovoltaic Power," Energies, MDPI, vol. 16(8), pages 1-13, April.
    3. Ding, Shun-Liang & Song, En-Zhe & Yang, Li-Ping & Litak, Grzegorz & Yao, Chong & Ma, Xiu-Zhen, 2016. "Investigation on nonlinear dynamic characteristics of combustion instability in the lean-burn premixed natural gas engine," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 99-110.
    4. Chiara Dall’Armi & Davide Pivetta & Rodolfo Taccani, 2023. "Hybrid PEM Fuel Cell Power Plants Fuelled by Hydrogen for Improving Sustainability in Shipping: State of the Art and Review on Active Projects," Energies, MDPI, vol. 16(4), pages 1-34, February.
    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. Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Andrzej Marciniak & Piotr Ignaciuk, 2023. "A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family," Energies, MDPI, vol. 16(13), pages 1-16, June.
    2. Arkadiusz Małek & Agnieszka Dudziak & Jacek Caban & Monika Stoma, 2024. "Strategic Model for Yellow Hydrogen Production Using the Metalog Family of Probability Distributions," Energies, MDPI, vol. 17(10), pages 1-24, May.
    3. Emad Awada & Eyad Radwan & Suzan Abed & Akram Al-Mahrouk, 2024. "Economic Analysis and Design of Sustainable Solar Electric Vehicle Carport at Applied Science Private University in Jordan," Energies, MDPI, vol. 17(17), pages 1-20, August.
    4. Pivetta, D. & Dall’Armi, C. & Sandrin, P. & Bogar, M. & Taccani, R., 2024. "The role of hydrogen as enabler of industrial port area decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    5. Mustafa Jaradat & Sondos Almashaileh & Codruta Bendea & Adel Juaidi & Gabriel Bendea & Tudor Bungau, 2024. "Green Hydrogen in Focus: A Review of Production Technologies, Policy Impact, and Market Developments," Energies, MDPI, vol. 17(16), pages 1-28, August.
    6. Ivo Araújo & Leonel J. R. Nunes & António Curado, 2023. "Photovoltaic Production Management under Constrained Regulatory Requirements: A Step towards a Local Energy Community Creation," Energies, MDPI, vol. 16(22), pages 1-19, November.
    7. Kristina Čižiūnienė & Margarita Prokopovič & Jurijus Zaranka & Jonas Matijošius, 2024. "Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    8. Shengyang Gao & Fashe Li & Qingtai Xiao & Jianxin Xu & Huage Wang & Hua Wang, 2019. "Experimental Demonstration of Deterministic Chaos in a Waste Oil Biodiesel Semi-Industrial Furnace Combustion System," Energies, MDPI, vol. 12(23), pages 1-17, November.
    9. Shang, Binbin & Shang, Pengjian, 2022. "Effective instability quantification for multivariate complex time series using reverse Shannon-Fisher index," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    10. Yi Guo & Qi Wang & Maofei Geng & Xueyuan Peng & Jianmei Feng, 2023. "Effects of Liquid Density on the Gas-Liquid Interaction of the Ionic Liquid Compressor for Hydrogen Storage," Energies, MDPI, vol. 16(7), pages 1-20, April.
    11. Nestor F. Guerrero-Rodríguez & Daniel A. De La Rosa-Leonardo & Ricardo Tapia-Marte & Francisco A. Ramírez-Rivera & Juan Faxas-Guzmán & Alexis B. Rey-Boué & Enrique Reyes-Archundia, 2024. "An Overview of the Efficiency and Long-Term Viability of Powered Hydrogen Production," Sustainability, MDPI, vol. 16(13), pages 1-29, June.
    12. Wang, Ningbo & Guo, Yanhua & Liu, Lu & Shao, Shuangquan, 2024. "Numerical assessment and optimization of photovoltaic-based hydrogen-oxygen Co-production energy system: A machine learning and multi-objective strategy," Renewable Energy, Elsevier, vol. 227(C).
    13. Agnieszka Dudziak & Arkadiusz Małek & Andrzej Marciniak & Jacek Caban & Jarosław Seńko, 2024. "Probabilistic Analysis of Green Hydrogen Production from a Mix of Solar and Wind Energy," Energies, MDPI, vol. 17(17), pages 1-22, September.
    14. Mateusz Sikora & Dominik Kochanowski, 2024. "Potentials of Green Hydrogen Production in P2G Systems Based on FPV Installations Deployed on Pit Lakes in Former Mining Sites by 2050 in Poland," Energies, MDPI, vol. 17(18), pages 1-18, September.

    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:15:p:3729-:d:1444975. 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.