IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i15p4130-d1717131.html
   My bibliography  Save this article

Matrix Modeling of the Selection of Electric Generators for Home Use Based on the Analytical Hierarchical Process (AHP) Algorithm in War Conditions in Ukraine

Author

Listed:
  • Barbara Dybek

    (Institute of Technology and Life Sciences—National Research Institute, Falenty, Al. Hrabska 3, 05-090 Raszyn, Poland)

  • Igor Ilge

    (Automation and Computer-Integrated Technologies Department, Kharkiv National Automobile and Highway University, 25, Yaroslava Mudrogo str., 61002 Kharkiv, Ukraine)

  • Serhiy Zaporozhtsev

    (Power Engineering and Information Technology, Lviv National Environmental University, 1, V.Velykoho str., 80381 Dubliany, Ukraine)

  • Adam Koniuszy

    (Department of Renewable Energy Engineering, West Pomeranian University of Technology in Szczecin, 1 Papieza Pawla VI Street, 71-459 Szczecin, Poland)

  • Grzegorz Wałowski

    (Institute of Technology and Life Sciences—National Research Institute, Falenty, Al. Hrabska 3, 05-090 Raszyn, Poland)

Abstract

The problem of choosing an electric generator in order to increase the reliability and continuity of energy supply to households in Ukraine was considered. It was shown that this choice is made under conditions of uncertainty. The methods of choosing alternatives to technical systems under conditions of uncertainty, based on axiomatic, heuristic and verbal decision-making methods described in the sources, were analyzed, and the Analytical Hierarchical Process (AHP) was selected to develop a model for choosing an electric generator. The technical, economic, operational and ergonomic criteria for choosing an electric generator were justified. The novelty of the article lies in the use of the developed structural hierarchical model for choosing an electric generator for a household, and the selection of the appropriate generator option for a household was carried out using the AHP. The selected F3001 generator model is characterized by the highest value of the generalized weighting factor due to the impact of estimates based on economic and operational criteria. The use of the cogeneration unit in an agricultural biogas plant was also indicated—as an alternative to household energy supply.

Suggested Citation

  • Barbara Dybek & Igor Ilge & Serhiy Zaporozhtsev & Adam Koniuszy & Grzegorz Wałowski, 2025. "Matrix Modeling of the Selection of Electric Generators for Home Use Based on the Analytical Hierarchical Process (AHP) Algorithm in War Conditions in Ukraine," Energies, MDPI, vol. 18(15), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:4130-:d:1717131
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/15/4130/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/15/4130/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mustafa Hamurcu & Tamer Eren & Ming-Sheng Liu, 2020. "Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence," Journal of Mathematics, Hindawi, vol. 2020, pages 1-11, June.
    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. Saikat Chatterjee & Partha Protim Das & Shankar Chakraborty, 2025. "A novel integrated multi-criteria decision making approach for solving delivery drone selection problem," OPSEARCH, Springer;Operational Research Society of India, vol. 62(1), pages 119-148, March.
    2. Zeng, Shouzhen & Zhang, Na & Zhang, Chonghui & Su, Weihua & Carlos, Llopis-Albert, 2022. "Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:15:p:4130-:d:1717131. 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.