Principles of forming biogas plant location places using a neuronetwork

Authors

  • M. Zablodskiy National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • S. Shvorov National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Polishchuk National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Trokhaniak National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • T. Lendiel National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/energiya5(69).2023.005

Abstract

Currently, in the conditions of the wartime and post-war period, the problem of energy independence of both the whole of Ukraine and each united territorial community is acute. A particularly urgent task in this context is the determination of local energy resources and, on this basis, the formation of the locations of biogas plants - stable energy sources of the community.

The purpose of the work is to substantiate the principles of the location of biogas plants within territorial communities based on the use of an artificial neural network.

To achieve the specified goal, the following tasks were solved: development of a methodical apparatus for the formation of the resource-raw material base of biogas production and substantiation of the principles of the location of biogas plants based on the use of an artificial neural network.

The most important results of the research are the development of a methodical apparatus for the formation of the resource-raw material base of biogas production using the "Tripillia" melon base and the synthesis of the configuration of the location of biogas production using a neural network, which allows to significantly reduce the time spent on the justification and construction of energy-independent united territorial communities of Ukraine. An example of the application of the proposed methodical apparatus for determining the location of biogas plants in the Pereyaslav territorial community is presented.

Key words: biomethane, neural network, biogas plant, installed electric and thermal capacity, database

References

Biometan – haz maibutnoho, dzherelo staloi, vidnovliuvanoi ta chystoi enerhii [Biomethane is the gas of the future, a source of sustainable, renewable and clean energy]. Available at: https://uabio.org/materials/video/15400/

Georgy Heletukha, Petro Kucheruk, Yuriy Matveev (2022). Perspektyvy vyrobnytstva biometanu v Ukraini [Prospects of biomethane production in Ukraine]. Analytical note No. 29 of the Bioenergy Association of Ukraine, 60.

Masdemont P.R., Galindo D.G., Ugina A.M., Karampinis M., Dragnev S., Zhelezna T. (2022). Enerhiia z ahropromyslovykh zalyshkiv [Energy from agricultural residues]. Kyiv, 60.

Veb-portal “Trypillia”. Pidpryiemstva APK. ["Tripillia" web portal. Agricultural enterprises]. Available at: https://tripoli.land/ua/companies#

Altug S., Mo-Yuen C., Joel H. (1999). Trussell Fuzzy Inference Systems Implemented on Neural Architectures for Motor Fault Detection and Diagnosis. IEEE Transactions On Industrial Electronics, 46 (6).

Cook, R. Dennis; Weisberg, Sanford. (1982). Residuals and Influence in Regression. New York: Chapman and Hall. Retrieved from the University of Minnesota Digital Conservancy.

Suleiman, A. A., Abdullahi, U. A., & Ahmad, U. A. (2015). An Analysis of Residuals in Multiple Regressions. International Journal of Advanced Technology in Engineering and Science, 3(1), 563-570.

Published

2023-12-12

Issue

Section

Статті