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Assessment of the Condition of the Project Environment for the Implementation of Technologically Integrated Projects of the “European Green Deal” Using Maize Waste

Author

Listed:
  • Anatoliy Tryhuba

    (Department of Information Technologies, Lviv National Agrarian University, 80381 Dublyany, Ukraine)

  • Taras Hutsol

    (Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10008 Zhytomyr, Ukraine)

  • Inna Tryhuba

    (Department of Information Technologies, Lviv National Agrarian University, 80381 Dublyany, Ukraine)

  • Krzysztof Mudryk

    (Faculty of Production and Power Engineering, University of Agriculture in Krakow, 30-149 Krakow, Poland)

  • Valentyna Kukharets

    (Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10008 Zhytomyr, Ukraine
    Department of Applied Economics, Finance and Accounting, Vytautas Magnus University, K. Donelaitis Street 58, LT 44-248 Kaunas, Lithuania)

  • Szymon Głowacki

    (Institute of Mechanical Engineering, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland)

  • Larysa Dibrova

    (Faculty of Agrarian Management, National University of Life and Environmental Sciences of Ukraine, 03041 Kyiv, Ukraine)

  • Oleksandr Kozak

    (Department of Electrical Engineering, Electromechanics and Electrotechnology, Educational and Scientific Institute of Energy, Higher Educational Institution “Podillia State University”, 32316 Kamianets-Podilskyi, Ukraine)

  • Krystyna Pavlenko-Didur

    (Department of Management, Faculty of Economics and Management, Odesa State Agrarian University, 65012 Odesa, Ukraine)

Abstract

In the research carried out by the authors, an approach to the assessment of the project environment of technologically integrated “European Green Deal” projects using corn waste was developed, which takes into account the changing project environment, which determines the risk of the specific cost of disposal of corn waste. On the basis of the predicted approach and the established trends of changes in the specific volume of corn food products from its yield, as well as the specific cost of disposal of corn waste from its specific volume under the condition of maintaining the balance of organic carbon in the fields, a computer program in the Python 3.9 language was developed. The program makes it possible to speed up calculations and perform a quantitative assessment of the state of the project environment in certain regions of the implementation of projects of the “European Green Deal” (TIP of the EGD) using corn waste. An approach to assessing the state of the project environment of TIP of the EGD using corn waste is proposed. A block diagram of the algorithm for assessing the state of the project environment was created, which involves the implementation of ten stages. It provides for determining the dynamics of inequality of individual regions in terms of resource potential for the production of clean energy from corn waste according to the Gini index. The Gini index was used to assess three indicators that take full account of the unevenness and dispersion of raw materials in a given area for the production of clean energy. This provides a preliminary assessment of the risks to stakeholders for stakeholders in technologically integrated projects of the “European Green Deal” using maize waste. Based on the proposed approach, a computer program in Python 3.9 was developed. It provides an opportunity to speed up the calculations and perform a quantitative assessment, according to these indicators, of the state of the project environment in some regions regarding the TIP of the EGD. The uneven distribution of raw materials in the territory of Ukraine for the production of environmentally friendly energy from corn waste and the risk of value for stakeholders were assessed. It is established that in the territory of Ukraine there are nine regions (Dnipropetrovsk, Donetsk, Zaporizhzhia, Kirovohrad, Luhansk, Mykolaiv, Odesa, Kharkiv, Chernivtsi), which do not ensure the preservation of the balance of organic carbon in the fields during long-term cultivation of corn. In addition, four regions of Ukraine (Vinnytsia, Poltava, Kherson, Zakarpattia) have an unfavorable project environment in terms of risk. In these regions, the Gini index exceeds the critical value of the three studied indicators. The Zakarpattia region is the most unfavorable for the implementation of the TIP of the EGD. It is established that the minimum material risk for the implementation of technologically integrated projects with the use of corn waste is observed in three regions of Ukraine (Sumy, Rivne, Ternopil).

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8220-:d:962651
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    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. Oleksandr Labenko & Tetiana Sobchenko & Taras Hutsol & Michał Cupiał & Krzysztof Mudryk & Anna Kocira & Krystyna Pavlenko-Didur & Oleksandra Klymenko & Pavel Neuberger, 2022. "Project Environment and Outlook within the Scope of Technologically Integrated European Green Deal in EU and Ukraine," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    3. Oleksandr Faichuk & Lesia Voliak & Taras Hutsol & Szymon Glowacki & Yuriy Pantsyr & Sergii Slobodian & Anna Szeląg-Sikora & Zofia Gródek-Szostak, 2022. "European Green Deal: Threats Assessment for Agri-Food Exporting Countries to the EU," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. 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.
    5. Zofia Gródek-Szostak & Gabriela Malik & Danuta Kajrunajtys & Anna Szeląg-Sikora & Jakub Sikora & Maciej Kuboń & Marcin Niemiec & Joanna Kapusta-Duch, 2019. "Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    6. Oleg Kucher & Taras Hutsol & Szymon Glowacki & Iryna Andreitseva & Anatolii Dibrova & Andrii Muzychenko & Anna Szeląg-Sikora & Agnieszka Szparaga & Sławomir Kocira, 2022. "Energy Potential of Biogas Production in Ukraine," Energies, MDPI, vol. 15(5), pages 1-22, February.
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