Principles of forming biogas plant location places using a neuronetwork
DOI:
https://doi.org/10.31548/energiya5(69).2023.005Abstract
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.
Downloads
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).