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

Author:

Tryhuba Inna1,Tryhuba Anatoliy12ORCID,Hutsol Taras34ORCID,Szufa Szymon5ORCID,Glowacki Szymon6ORCID,Andrushkiv Oleh7,Padyuka Roman1,Faichuk Oleksandr8,Slavina Nataliia9ORCID

Affiliation:

1. Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine

2. Ukrainian University in Europe-Foundation, Balicka 116, 30-149 Krakow, Poland

3. Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10-008 Zhytomyr, Ukraine

4. Department of Agricultural Engineering, Odesa State Agrarian University, 65-012 Odesa, Ukraine

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

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

7. Department of Information Technologies, Lviv State University of Life Safety, 79-007 Lviv, Ukraine

8. 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

9. 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.

Funder

BioTrainValue

Horizon Europe’s Maria Skłodowska-Curie Staff Exchange program

Publisher

MDPI AG

Reference57 articles.

1. An Official Website of the European Union (2024, June 12). A European Green Deal. Available online: https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en.

2. (2024, June 05). European Environment Agency. Available online: https://www.eea.europa.eu/en.

3. Tryhuba, I., Tryhuba, A., Hutsol, T., Cieszewska, A., Andrushkiv, O., Glowacki, S., Brys, A., Slobodian, S., Tulej, W., and Sojak, M. (2024). Prediction of Biogas Production Volumes from Household Organic Waste Based on Machine Learning. Energies, 17.

4. Coordination of Configurations of Complex Organizational and Technical Systems for Development of Agricultural Sector Branches;Batyuk;J. Autom. Inf. Sci.,2020

5. State Statistics Service of Ukraine (2024, February 10). Main. Official Website, Available online: https://www.ukrstat.gov.ua/.

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