IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i17p4513-d1474042.html
   My bibliography  Save this article

European Green Deal: Substantiation of the Rational Configuration of the Bioenergy Production System from Organic Waste

Author

Listed:
  • Inna Tryhuba

    (Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine)

  • Anatoliy Tryhuba

    (Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine
    Ukrainian University in Europe-Foundation, Balicka 116, 30-149 Krakow, Poland)

  • Taras Hutsol

    (Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10-008 Zhytomyr, Ukraine
    Department of Agricultural Engineering, Odesa State Agrarian University, 65-012 Odesa, Ukraine)

  • Szymon Szufa

    (Faculty of Process and Environmental Engineering, Lodz University of Technology, Wolczanska 213, 90-924 Lodz, Poland)

  • Szymon Glowacki

    (Department of Fundamentals of Engineering and Power Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences (SGGW), 02-787 Warsaw, Poland)

  • Oleh Andrushkiv

    (Department of Information Technologies, Lviv State University of Life Safety, 79-007 Lviv, Ukraine)

  • Roman Padyuka

    (Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine)

  • Oleksandr Faichuk

    (Department of Administrative Management and Foreign Economic Activity, Faculty of Agricultural Management, National University of Life and Environmental Sciences of Ukraine, 03-041 Kyiv, Ukraine)

  • Nataliia Slavina

    (Department of Management, Kamianets-Podilskyi Ivan Ohiienko National University, 32-300 Kamianets-Podilskyi, Ukraine)

Abstract

A review of the current state of the theory and practice of bioenergy production from waste allowed us to identify the scientific and applied problem of substantiating the rational configuration of a modular anaerobic bioenergy system, taking into account the volume of organic waste generated in settlements. To solve this problem, this paper develops an approach and an algorithm for matching the configuration of a modular anaerobic bioenergy production system with the amount of organic waste generated in residential areas. Unlike the existing tools, this takes into account the peculiarities of residential areas, which is the basis for accurate forecasting of organic waste generation and, accordingly, determining the configuration of the bioenergy production system. In addition, for each of the scenarios, the anaerobic digestion process is modeled, which allows us to determine the functional indicators that underlie the determination of a rational configuration in terms of cost and environmental performance. Based on the use of the developed tools for the production conditions of the Golosko residential area, Lviv (Ukraine), possible scenarios for the installation of modular anaerobic bioenergy production systems are substantiated. It was found that the greatest annual benefits are obtained from the processing of mixed food and yard waste. The payback period of investments in modular anaerobic bioenergy production systems for given conditions of a residential area largely depends on their configuration and ranges from 3.3 to 8.4 years, which differ from each other by 2.5 times. This indicates that the developed toolkit is of practical value, as it allows the coordination of the rational configuration of modular anaerobic bioenergy production systems with real production conditions. In the future, it is recommended to use the proposed decision support system to model the use of biomass as an energy resource in residential areas, which ensures the determination of the rational configuration of a modular anaerobic bioenergy production system for given conditions.

Suggested Citation

  • Inna Tryhuba & Anatoliy Tryhuba & Taras Hutsol & Szymon Szufa & Szymon Glowacki & Oleh Andrushkiv & Roman Padyuka & Oleksandr Faichuk & Nataliia Slavina, 2024. "European Green Deal: Substantiation of the Rational Configuration of the Bioenergy Production System from Organic Waste," Energies, MDPI, vol. 17(17), pages 1-23, September.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4513-:d:1474042
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/17/4513/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/17/4513/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anatoliy Tryhuba & Roman Ratushny & Inna Tryhuba & Nazar Koval & Igor Androshchuk, 2020. "The Model of Projects Creation of the Fire Extinguishing Systems in Community Territories," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(2), pages 419-431.
    2. Anatoliy Tryhuba & Vitalij Boyarchuk & Inna Tryhuba & Oleh Boyarchuk & Oksana Ftoma, 2019. "Evaluation of Risk Value of Investors of Projects for the Creation of Crop Protection of Family Dairy Farms," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1357-1367.
    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. Inna Tryhuba & Anatoliy Tryhuba & Taras Hutsol & Agata Cieszewska & Oleh Andrushkiv & Szymon Glowacki & Andrzej Bryś & Sergii Slobodian & Weronika Tulej & Mariusz Sojak, 2024. "Prediction of Biogas Production Volumes from Household Organic Waste Based on Machine Learning," Energies, MDPI, vol. 17(7), pages 1-20, April.
    2. Anatoliy Tryhuba & Taras Hutsol & Maciej Kuboń & Inna Tryhuba & Serhii Komarnitskyi & Sylwester Tabor & Dariusz Kwaśniewski & Krzysztof Mudryk & Oleksandr Faichuk & Tetyana Hohol & Wioletta Tomaszewsk, 2022. "Taxonomy and Stakeholder Risk Management in Integrated Projects of the European Green Deal," Energies, MDPI, vol. 15(6), pages 1-15, March.
    3. Anatoliy Tryhuba & Taras Hutsol & Inna Tryhuba & Krzysztof Mudryk & Valentyna Kukharets & Szymon Głowacki & Larysa Dibrova & Oleksandr Kozak & Krystyna Pavlenko-Didur, 2022. "Assessment of the Condition of the Project Environment for the Implementation of Technologically Integrated Projects of the “European Green Deal” Using Maize Waste," Energies, MDPI, vol. 15(21), pages 1-19, November.
    4. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.

    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:17:p:4513-:d:1474042. 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.