Planning and Risk Analysis in Projects of Procurement of Agricultural Raw Materials for the Production of Environmentally Friendly Fuel

Tryhuba, Anatoliy; Komarnitskyi, Serhii; Тryhuba, Inna; Hutsol, Taras; Yermakov, Serhii; Muzychenko, Andrii; Музиченко, Тетяна; Horetska, Iryna

doi:10.14710/ijred.2022.43011

Cited by 9 publications

(8 citation statements)

References 37 publications

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“…The proposed method is based on a detailed analysis of literary sources and by conducting passive production observations. The proposed technique, which is based on the use of existing results published in scientific works [22][23][24][25][26][27][28][29][30][31][32][33], as well as on the use of methods of system analysis and mathematical modeling, ensured consideration of the complexity and multifactorial relationships between functional indicators.…”

Section: Discussion Of Research Resultsmentioning

confidence: 99%

“…In recent years, more and more scientific works have been published which are devoted to the production of bioenergy from organic waste [22][23][24][25][26][27]. These studies cover a wide range of issues, including technologies for processing organic waste, the economic efficiency of bioenergy production, environmental aspects, and social consequences.…”

Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

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European Green Deal: Justification of the Relationships between the Functional Indicators of Bioenergy Production Systems Using Organic Residential Waste Based on the Analysis of the State of Theory and Practice

Tryhuba,

Hutsol

et al. 2024

Energies

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Based on the analysis conducted on the state of theory and practice, the expediency of assessing the relationships between the functional indicators of bioenergy production systems using the organic waste of residential areas is substantiated in the projects of the European Green Deal. It is based on the use of existing results published in scientific works, as well as on the use of methods of system analysis and mathematical modeling. The proposed approach avoids limitations associated with the one-sidedness of sources or subjectivity of data and also ensures complete consideration of various factors affecting the functional indicators of the bioenergy production system from the organic waste of residential areas. Four types of organic waste generated within the territory of residential areas are considered. In our work, we used passive experimental methods to collect data on the functional characteristics of bioenergy production systems, mathematical statistics methods to process and interpret trends in the functional characteristics of bioenergy production systems using municipal organic waste, and mathematical modeling methods to develop mathematical models that reflect the patterns of change in the functional characteristics of bioenergy production systems. The results indicate the presence of dependencies with close correlations. The resulting dependencies can be used to optimize processes and increase the efficiency of bioenergy production. It was found that: (1) yard waste has the highest volume of the total volume of solid organic substances but has a low yield of biogas and low share of methane production; (2) food waste has the highest yield of biogas and, accordingly, the highest share of methane production; (3) mixed organic waste has the lowest volume of the total volume of solid organic substances and the lowest content of volatile organic substances. The amount of electricity and thermal energy production varies by type of organic waste, with mixed organic waste having a higher average amount of electricity production compared to other types of waste. It was established that the production volume of the solid fraction (biofertilizer) is also different for different types of organic waste. Less solid fraction is produced from food waste than from yard waste. The obtained research results are of practical importance for the development of sustainable bioenergy production from organic waste in residential areas during the implementation of the European Green Deal projects. They provide further research on the development of effective models for determining the rational configuration of bioenergy production systems using organic waste for given characteristics of residential areas.

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Section: Discussion Of Research Resultsmentioning

confidence: 99%

Section: Analysis Of Literature Data and Problem Statementmentioning

confidence: 99%

European Green Deal: Justification of the Relationships between the Functional Indicators of Bioenergy Production Systems Using Organic Residential Waste Based on the Analysis of the State of Theory and Practice

Tryhuba,

Hutsol

et al. 2024

Energies

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“…Depending on the availability of resources and the purpose of the study, one or more methods can be used to collect data on the generation of household organic waste in a given area [52][53][54][55][56][57].…”

Section: An Approach To Assessing the State Of Organic Waste Generati...mentioning

confidence: 99%

An Approach to Assessing the State of Organic Waste Generation in Community Households Based on Associative Learning

Tryhuba,

Hutsol,

Tryhuba

et al. 2023

Sustainability

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The purpose of this work is to substantiate the approach to assessing the state of organic waste generation by households of a given community, which is based on passive production observations and intellectual analysis of statistical data, which ensures consideration of the factors and features of organic waste generation, as well as the development of qualitative models for forecasting their receipt. To achieve the goal, the following tasks were solved: the analysis of the state of organic waste generation by households in the EU countries was performed; an approach to assessing the state of organic waste generation by households of a given community is proposed; based on the use of the proposed approach, and models for assessing the state of organic waste generation of households in a given community were substantiated. The hypothesis of the study is to substantiate and use an approach to assessing the generation of organic waste by households in individual communities, based on the method of association learning and search for association rules, which will identify factors that have a significant impact on the volume of organic waste generated by households, the consideration of which will improve the accuracy of forecasting models and improve the quality of management of the processes of collection and processing of this waste in communities. The research methodology used allows for the use of data mining, probability theory, mathematical statistics, machine learning technology, and the Associative Rule Learning (ARL) method. Based on the use of a reasonable algorithm, they identify key trends and relationships between the factors of organic waste generation in communities in different countries, which is the basis for creating accurate models for predicting the volume of collection and processing of this waste in communities. The study found that the largest number of households produced organic waste per capita in the range of 0.14–0.25 kg/person. At the same time, most households have from two to four residents and are located on the adjoining territory from 350 m2 to 680 m2. Based on the method of learning associative rules, it was found that there are no close correlations between individual factors that determine the daily volume of organic waste generation by households per capita. The highest correlation coefficient between the type of housing and the income level of household residents is 0.13. The number of residents and the occupied area of the adjacent territory have the greatest impact on the daily volume of organic waste generated by households per capita. The substantiated associative rules of relationships, as well as the diagrams of relationships between factors, have helped to identify those factors that have the greatest impact on the volume of organic waste generation. They are the basis for creating accurate models for predicting the volume of collection and planning the processing of this waste in communities. Based on the proposed approach, Python 3.9 software was developed. It makes it possible to quickly carry out calculations and perform a quantitative assessment of the state of organic waste generation by households of a given community according to the specified rules of association between the volumes of organic waste generation and their factors. The results of the study are the basis for the further development of models for accurate forecasting of the collection and planning of the processing of organic waste from households in communities.

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“…planting material is fed manually, which significantly limits the possibilities of increasing the efficiency of the units. When creating an automatic planter of such material, the task of fast and accurate feeding of cuttings arose, which led to the search for ways to justify the movement of cuttings during unloading from the storage tank [7][8][9][10][11][12]. Existing methods of automating the planting of such material are mainly reduced to the use of cassette mechanisms, however, this method requires careful preliminary preparation of the planting material and requires time spent on charging the cassettes.…”

Section: Serhii Yermakov Et Al Study Of the Unloading And Selection P...mentioning

confidence: 99%

Study of the Unloading and Selection Process of Energy Willow Cuttings for the Creation a Planting Machine

Yermakov,

Hutsol,

Gerasymchuk

et al. 2023

ETR

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The article highlights the problems of ensuring continuous unloading of energy willow cuttings from slotted bunkers. During the free discharge of rod-like bodies, such phenomena as crypt formations, distortions, pinching occur, which stop the discharge under the action of gravity. Finding such parameters, under which the system will work evenly and without stops, will make it possible to automate many processes related to working with such material, in particular, when developing a piecemeal selection mechanism for a planting machine. The study revealed and analyzed the possible forms of vaults that are formed during unloading from creating obstacles to movement. As a hopper model, for unloading cuttings, a slotted hopper in the form of two walls located at angles to the horizontal plane is considered. These walls form an unloading slot with adjustable width of the unloading window and an adjustable tilt angle. During the study, vaults were recorded, which are formed at different parameters of the bunker during free unloading. As research has shown, in order to ensure uninterrupted unloading of cuttings, there is such a width of the unloading window of the hopper, which will ensure uniform pouring of cuttings without crypt formations and stops associated with this process. The analysis of continuous discharge of rod-like material established that for cuttings of energy willow, the width of the window, which ensures continuous discharge, is 8-12 cm.

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Planning and Risk Analysis in Projects of Procurement of Agricultural Raw Materials for the Production of Environmentally Friendly Fuel

Cited by 9 publications

References 37 publications

European Green Deal: Justification of the Relationships between the Functional Indicators of Bioenergy Production Systems Using Organic Residential Waste Based on the Analysis of the State of Theory and Practice

European Green Deal: Justification of the Relationships between the Functional Indicators of Bioenergy Production Systems Using Organic Residential Waste Based on the Analysis of the State of Theory and Practice

An Approach to Assessing the State of Organic Waste Generation in Community Households Based on Associative Learning

Study of the Unloading and Selection Process of Energy Willow Cuttings for the Creation a Planting Machine

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