<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The determinants of profitability and environmental friendliness of bioconversion are noted in the paper. As one of the major factors the reduction of thermal energy costs for the fermentation of organic wastes in their utilization is proposed to take into consideration. The expediency of using renewable energy sources for thermal stabilization of the fermentation process, especially in the thermophilic mode of organic fermentation, is emphasized. The energy efficiency biogas installation with structural and technological scheme is given as an example. It receives thermal energy to increase its efficiency from a solar collector and a heat pump. It is proposed to evaluate the energy efficiency of a biogas plant taking into account the cost of bioconversion products and the costs of providing this process. A mathematical model was proposed to substantiate the environmental-economic efficiency of a biogas installation with the minimum energy costs for the thermal stabilization of the biomass fermentation process. The model is based on fuzzy set theory which uses linguistic variables. Linguistic variables take into account the influence of quantitative and qualitative factors on the objective function.</p>
</abstract>

The determinants of profitability and environmental friendliness of bioconversion are noted in the paper. As one of the major factors the reduction of thermal energy costs for the fermentation of organic wastes in their utilization is proposed to take into consideration. The expediency of using renewable energy sources for thermal stabilization of the fermentation process, especially in the thermophilic mode of organic fermentation, is emphasized. The energy efficiency biogas installation with structural and technological scheme is given as an example. It receives thermal energy to increase its efficiency from a solar collector and a heat pump. It is proposed to evaluate the energy efficiency of a biogas plant taking into account the cost of bioconversion products and the costs of providing this process. A mathematical model was proposed to substantiate the environmental-economic efficiency of a biogas installation with the minimum energy costs for the thermal stabilization of the biomass fermentation process. The model is based on fuzzy set theory which uses linguistic variables. Linguistic variables take into account the influence of quantitative and qualitative factors on the objective function.

Modeling of Environmental-Energy Efficiency of the Biogas Installation with Heat Supplying of the Biomass Fermentation Process

Architecture, Civil Engineering, Environment

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The determinants of profitability and environmental friendliness of bioconversion are noted in the paper. As one of the major factors the reduction of thermal...

Modeling of Environmental-Energy Efficiency of the Biogas Installation with Heat Supplying of the Biomass Fermentation Process

Article Category: research-article

Online veröffentlicht: 27. Jan. 2021

Seitenbereich: 115 - 124

Eingereicht: 03. Mai 2020

Akzeptiert: 09. Okt. 2020

DOI: https://doi.org/10.21307/acee-2020-036

Schlüsselwörter
Biogas installation, Biomass, Eco-energy efficiency, Fermentation, Fuzzy logic, Renewable energy sources, Thermal stabilization

© 2020 Georgiy Ratushniak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Modeling of Environmental-Energy Efficiency of the Biogas Installation with Heat Supplying of the Biomass Fermentation Process

Article Category: research-article

Online veröffentlicht: 27. Jan. 2021

Seitenbereich: 115 - 124

Eingereicht: 03. Mai 2020

Akzeptiert: 09. Okt. 2020

DOI: https://doi.org/10.21307/acee-2020-036

SchlüsselwörterBiogas installation, Biomass, Eco-energy efficiency, Fermentation, Fuzzy logic, Renewable energy sources, Thermal stabilization

© 2020 Georgiy Ratushniak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Biogas installation, Biomass, Eco-energy efficiency, Fermentation, Fuzzy logic, Renewable energy sources, Thermal stabilization