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  7. 2022 год
  8. 44-6

Electronic modeling

Vol 44, No 6 (2022)

CONTENTS

Mathematical modeling and Computation Methods

 
S.D. Vynnychuk
Mathematical Dynamic Model of Thermal and Hydraulic Processes in Aircraft Fuel System Tanks
3-20

Informational Technologics

 
E.V. Faure, B.A. Stupka
Evaluation of Frame Synchronization Efficiency for Non-Separable Factorial Codes Depending on Synchronization Parameters
21-35

Computational Processes and Systems

 
A.P. Safonyk, M.B. Matviichuk
Development of an Intelligent Coagulant Dosing System for the Water Purification Process Based on an Artificial Neural Network
36-47

Application of Modeling Methods and Facilities

 
V.V. Stanytsina, V.O. Artemchuk
Prospects for the Introduction of Several Types of Heat Pumps in Ukraine
48-68
 
I.V. Zhabokrytskyi
Increasing the Efficiency of Creating Augmented Reality Scenes Using Neural Networks
69-85
 
T.M. Herei, V.I. Bukovetskyi, T.V. Matovka, V.M. Rizak
Development of Application for Simple Network Traffic Files Analysis Using Python
86-101
 
N.P. Ivanenko
Integration of Electric Transportation Into Integrated Energy System of Ukraine
102-111

 

MATHEMATICAL DYNAMIC MODEL OF THERMAL AND HYDRAULIC PROCESSES IN AIRCRAFT FUEL SYSTEM TANKS

S.D. Vynnychuk

Èlektron. model. 2022, 44(6):03-20

https://doi.org/10.15407/emodel.44.06.003

ABSTRACT

A generalized mathematical model of dynamic thermal processes in fuel system tanks and hydraulic processes in the supercharging and drainage system is proposed. In the model of dynamic temperature changes in the CB, the idea of forming a parametric dependence is laid down, which, due to the selection of the values of the model parameters, would take into account the influence of the main factors at different stages of the flight and allow the adjustment of the model. 9 such parameters are highlighted and illustrated how each of them separately affects the temperature change in the tank. The given calculation data show that the change in their values has a different effect on the shape of the graph of the temperature change in the CB for the analyzed flight. Therefore, due to their selection, it is possible to obtain temperature values in the CB close to the experimental ones. The found values of the coefficients change little for different variants of flights, which indicates the acceptability of model (4) - (6) for use in preliminary analysis for a number of flights based on one of them. Such a model, perhaps in a somewhat simplified form, can be used in assessing the flammability of fuel in aircraft tanks. For the model of hydraulic processes, a universal algorithm for determining the flow distribution for 10 variants of boundary conditions for the network is proposed, which describes the calculation scheme of the supercharging and drainage system, where part of the boundary conditions can be set implicitly, provided that the pressure drops on the branches of the network are linear functions of the flow rate in the corresponding branch. This model complements the general model of dynamic hydraulic processes in the supercharging and drainage system, including tanks, which was proposed by the author earlier.

KEYWORDS

aircraft fuel system, hydraulic network, average fuel temperature, tank pressure, mathematical model

REFERENCES

  1. Advisory Circular № 25.981-2А (2008), «Fuel Tank System Flammability Reduction Means», (available at: http://www.fire.tc.faa.gov/systems/fueltank/FTFAM.stm)
  2. S. Department of Transportation FAA DOT/FAA/AR-05/8 (2008), Fuel Tank Flammability Assessment Method. User’s Manual, (available at: http://www.fire.tc.faa.gov/systems/fueltank/FTFAM.stm) 
  3. Vynnychuk, S.D. (2022), “Mathematical model of hydraulic processes in the supercharging and drainage system”, Elektronne modelyuvannya, Vol. 44, no. 2, pp. 3-14, available at: https://doi.org/10.15407/emodel.44.02.003.
  4. Vynnychuk, S.D., Kolomiiets, Y.A. and Koziuk, O.I. (2022), “Model and algorithm for calculating flow distribution in the central tank of the supercharging system and drainage without drainage and bypass”, Elektronne modelyuvannya, Vol. 44, no. 4, pp. 21-27, available at: https://doi.org/10.15407/emodel.44.04.021
  5. Vynnychuk, S.D. (2016), “Definition of flow distribution in networks with a tree graph”, Elektronne modelyuvannya, Vol. 38, n 4, pp. 65-80, DOI: https://doi.org/10.15407/emodel.
  6. Abramovich, G.N. (1969), Prikladnaya gazovaya dinamika. 3-ye izd., pererab. [Applied gas dynamics. 3rd ed., revised], Nauka, Moscow, Russia.

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EVALUATION OF FRAME SYNCHRONIZATION EFFICIENCY FOR NON-SEPARABLE FACTORIAL CODES DEPENDING ON SYNCHRONIZATION PARAMETERS

E.V. Faure, B.A. Stupka

Èlektron. model. 2022, 44(6):21-34

https://doi.org/10.15407/emodel.44.06.021

ABSTRACT

This paper aims at implementing the principles of establishing frame synchronism for non-separable factorial codes, as well as applying the operation of interleaving fragments received from the communication channel to increase the efficiency of finding permutation boundaries. We apply the algorithm for establishing frame synchronism with parameters defined for the upper limit of the communication channel bit error probability P0_max = 0,495 for environments with a bit error probability P0 ≤ 0,495. The parameters of the algorithm for establishing frame synchronism with the upper limit of the communication channel bit error probability P0_max = 0,4 are determined. The efficiency of using the interleaving operation of fragments received from the communication channel is evaluated. The efficiency of implementing algorithms for establishing frame synchronism with parameters determined for the upper limit of the communication channel bit error probability P0_max ≤ 0,495 and P0_max = 0,4 is compared, for environments with a bit error probability P0 ≤ 0,4. We give recommendations for selecting the synchronization algorithm parameters for communication channels where the bit error probability upper limit P0 ≤ 0,4 is known, and for channels where this value is variable. These recommendations can be used to improve the efficiency of algorithms for establishing frame synchronism when designing telecommunication systems with non-separable data factorial coding in conditions of natural or artificially created high-level communication channel noise.

KEYWORDS

factorial coding, frame synchronization, permutation, syncword, high-level noise.

REFERENCES

  1. Faure, E.V. (2016), “Factorial coding with data recovery”, Visnyk Cherkaskoho derzhavnoho tekhnolohichnoho universytetu, Vol. 1, no. 2, pp. 33–39, DOI: 10.24025/2306–4412.2. 2016.82932.
  2. Faure, E.V. (2017), “Factorial coding with error correction”, Radio Electronics, Computer Science, Control, Vol. 3, pp. 130–138, DOI: https://doi.org/10.15588/1607-3274-2017-3-15.
  3. Faure, E.V., Shcherba, A.I. and Kharin, A.A. (2018), “Factorial code with a given number of inversions”, Radio Electronics, Computer Science, Control, Vol. 2, pp. 143–153, DOI: 10.15588/ 1607–3274–2018–2–16.
  4. Al-Aazzeh, J., Ayyoub, B., Faure, E., Shvydkyi, V., Kharin, O. and Lavdanskyi, A. (2020), “Telecommunication systems with multiple access based on data factorial coding’, International Journal on Communications Antenna and Propagation, Vol. 10, no. 2, pp. 102–113, DOI: 
    https://doi.org/10.15866/irecap.v10i2.17216
  5. Ling, F. (2017), Synchronization in digital communication systems, Cambridge University Press, NY, USA.
    https://doi.org/10.1017/9781316335444
  6. Bloessl, B. and Dressler, F. (2018), “mSync: Physical Layer Frame Synchronization without Preamble Symbols”, IEEE Transactions on Mobile Computing, October 2018, Vol. 17, no. 10, pp. 2321–2333, DOI:
    https://doi.org/10.1109/TMC.2018.2808968
  7. Nguyen, A.T.P., Guilloud, F. and Le Bidan, R. (2020), “On the optimization of resources for short frame synchronization”, Annals of Telecommunications, Vol. 75, no. 11–12, 635–640, DOI: 
    https://doi.org/10.1007/s12243-020-00787-y
  8. Faure, E., Shcherba, A. and Stupka, B. (2021), “Permutation–Based Frame Synchronisation Method for Short Packet Communication Systems”, 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), September 2021, Krakow, Poland, pp. 1073–1077, DOI:
    https://doi.org/10.1109/IDAACS53288.2021.9660996
  9. Al-Aazzeh, J., Faure, E., Shcherba, A. and Stupka, B. (2022), “Permutation–based frame synchronization method for data transmission systems with short packets”, Egyptian Informatics Journal, Vol. 23, no. 3, pp. 529–545, DOI:
    https://doi.org/10.1016/j.eij.2022.05.005
  10. Durisi, D., Liva, G. and Polyanskiy, Y. (2022), “Short-Packet Transmission”, Information Theoretic Perspectives on 5G Systems and Beyond, рр. 339–393, DOI:
    https://doi.org/10.1017/9781108241267.010
  11. Nguyen, A.T.P., Le Bidan, R. and Guilloud, F. (2019), “Trade-Off Between Frame Synchronization and Channel Decoding for Short Packets”, IEEE Communications Letters, June 2019, Vol. 23, no. 6, pp. 979–982, DOI:
    https://doi.org/10.1109/LCOMM.2019.2913363
  12. Feng, C., Wang, H.- and Poor, H.V. (2022), “Reliable and Secure Short–Packet Communications”, IEEE Transactions on Wireless Communications, March 2022, Vol. 21, no. 3, pp. 1913–1926, DOI:
    https://doi.org/10.1109/TWC.2021.3108042
  13. Bana, A.-S., Trillingsgaard, K.F., Popovski, P. and de Carvalho, E. (2018), “Short Packet Structure for Ultra–Reliable Machine–Type Communication: Tradeoff between Detection and Decoding”, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, April 2018, pp. 6608–6612, DOI: 
    https://doi.org/10.1109/ICASSP.2018.8461650
  14. Durisi, G., Koch, T. and Popovski, P. (2016), “Toward Massive, Ultrareliable, and Low–Latency Wireless Communication with Short Packets”, Proceedings of the IEEE, September 2016, Vol. 104, no. 9, pp. 1711–1726, DOI:
    https://doi.org/10.1109/JPROC.2016.2537298
  15. Knuth, D.E. (2008), The Art of Computer Programming: Introduction to combinatorial algorithms and Boolean functions, Vol. 4A, Addison–Wesley, Upper Saddle River, NJ.
  16. Yoshinori, I. (1989), Patent JPH01296825A, “Majority circuit”, No. JP12750588A ; application date May 25, 1988; publication date November 30, 1989.
  17. Terrell, T.J. and Shark, L.- (1996), Digital Signal Processing, Macmillan Education, London, UK, DOI:
    https://doi.org/10.1007/978-1-349-13735-0
  18. Tan, L. and Jiang, J. (2019), Digital Signal Processing. Fundamentals and Applications. 3rd ed., Elsevier Science & Technology, DOI:
    https://doi.org/10.1016/C2017-0-02319-4
  19. Galati, G., Pavan, G. and Wasserzier, C. (2022), “Signal design and processing for noise radar”, EURASIP Journal on Advances in Signal Processing, Vol. 2022, no. 1, pp. 52, DOI:
    https://doi.org/10.1186/s13634-022-00884-1
  20. Ibe, O.C. (2014), Fundamentals of applied probability and random processes. 2nd edition, Elsevier/AP, Boston, Amsterdam.
    https://doi.org/10.1016/B978-0-12-800852-2.00012-2

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DEVELOPMENT OF AN INTELLIGENT COAGULANT DOSING SYSTEM FOR THE WATER PURIFICATION PROCESS BASED ON AN ARTIFICIAL NEURAL NETWORK

A.P. Safonyk, M.B. Matviichuk

Èlektron. model. 2022, 44(6):36-47

https://doi.org/10.15407/emodel.44.06.036

ABSTRACT

The article reveals the essence and features of an artificial neural network, which is used to regulate water purification processes. Features, principles and main stages of water purification are determined. The stages of learning artificial neural networks are disclosed. The approach to the use of artificial neural networks during dosing of the mixture for water purification is substantiated. The process of dosing the mixture for water purification and the related indicators, which are important for the implementation of the water purification process, are analyzed. A number of factors that directly affect the coagulation process and, as a result, the structure of the neural network include turbidity and flow speed. It is shown that determining the dose of coagulant is necessary to minimize time, implement a continuous process, stabilize variations in the operator’s observations, and improve the quality of water treatment. A coagulant dose adjustment mode is proposed, as well as a water purification process control scheme based on the developed artificial neural network with unsupervised learning, which is used to optimize the coagulant dosage in the water purification process.

KEYWORDS

neural network, automatic dosing, coagulant, water purification, intelligent information system.

REFERENCES

  1. Zorina, S.O. (2019), “Hygienic problems of drinking water supply in Ukraine and ways to solve them in the conditions of European integration”, Qualifying scientific work. Abstract of Doc. Sci. (Bio.), dissertation, 02.14.01, Kyiv, Ukraine, available at: http://www.health.gov.ua/ docs/zorina/dissertatsia_Zorina.pdf.
  2. Nidheesh, P.V., Jaimy, S., Syam Babu, D. and Suresh Kumar, M. (2021), “An overview on combined electrocoagulation-degradation processes for the effective treatment of water and wastewater”, Chemosphere, Vol. 263, no. 127907, DOI: https://doi.org/10.1016/j.chemosphere.2020.127907
  3. Guohua, Chen. (2004), “Electrochemical technologies in wastewater treatment”, Separation and Purification Technology, Vol. 38, pp. 11-41, DOI: https://doi.org/10.1016/j.seppur.2003.10.006
  4. Cao, W. and Yang, Q. (2020), “Online sequential extreme learning machine based adaptive control for wastewater treatment plant”, Neurocomputing, Vol. 408, pp.169-175, DOI:https://doi.org/10.1016/j.neucom.2019.05.109
  5. Qiao, J., Guang, H. and Hong‐gui, H. (2013), “Neural Network On-Line Modeling and Controlling Method for Multi-Variable Control of Wastewater Treatment Processes”, Asian Journal of Control, Vol. 4, pp. 1213-1223, DOI: https://doi.org/10.1002/asjc.758
  6. Rahman, M.S. and Islam, M.R. (2020), “Sustainability of Current Water Purification Technologies”, Sustainable Water Purification, pp. 59-122, DOI: https://doi.org/10.1002/9781119651123.ch3
  7. Larissa, F. da Silva, Barbosa, A.D., Heber P.M., Romualdo L.R. and Andrade L.S. (2016), “Treatment of paint manufacturing wastewater by coagulation/electrochemical methods: Proposals for disposal and/or reuse of treated water”, Water Research, Vol. 101, pp. 467-475, DOI: https://doi.org/10.1016/j.watres.2016.05.006
  8. Wang, G., Jia, Q.-S., MengChu, Z., Bi, J. and Qiao, J. (2021). “Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning”, Neurocomputing, Vol. 436, pp. 103-113, DOI: https://doi.org/10.1016/j.neucom.2020.12.108
  9. Min, L., Jongho, W., Sehyun, C., Seonghwan, K. and Simon, S. (2022), “Rapid detection of ionic contents in water through sensor fusion and convolutional neural network”, Chemosphere, Vol. 294, no. 133746, DOI: https://doi.org/10.1016/j.chemosphere.2022.133746
  10. Safonyk, A., Tarhonii, I., Hrytsiuk, I., Rudyk, A. and Ilkiv, I. (2021), “Dynamic optimization of the technological water treatment process automatic control system”, 2021 11th International Conference on Advanced Computer Information Technologies (ACIT), pp. 13-18, DOI: https://doi.org/10.1109/ACIT52158.2021.9548486
  11. Safonyk, A., Mishchanchuk, M. and Hrytsiuk, I. (2020). “Spectrophotometric method for coagulant determining in a stream based on an artificial neural network”, ISDMCI 2021: Lecture Notes in Computational Intelligence and Decision Making, pp. 589–601, DOI: https://doi.org/10.1007/978-3-030-82014-5_40
  12. Safonyk, A., Mishchanchuk, M. and Lytvynenko, V. (2021). “Intelligent information system for the determination of iron in coagulants based on a neural network”, Conference Paper 11th International Conference on Advanced Computer information Technologies (ACIT2021), Deggendorf, Germany, available at: https://ceur-ws.org/Vol-2853/short13.pdf.

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PROSPECTS FOR THE INTRODUCTION OF SEVERAL TYPES OF HEAT PUMPS IN UKRAINE

V.V. Stanytsina, V.O. Artemchuk

Èlektron. model. 2022, 44(6):48-68

https://doi.org/10.15407/emodel.44.06.048

ABSTRACT

Energy efficiency is one of the critical areas of ensuring sustainable development. One of the promising technologies in this context is heat pump technology for heat supply. Such technologies have been widely implemented in the EU for several decades. At the same time, very few projects with powerful heat pumps have been implemented in Ukraine, which is explained by their high cost. However, given the current energy resource prices, Ukraine's heat pumps are already becoming competitive. The paper examines the Levelized cost of heat energy from systems with heat pumps of the "soil-water" and "air-water" types and a gas boiler house at various discount rates and prices for electricity and natural gas. It is shown that domestically produced ground source heat pumps are primarily competitive.

KEYWORDS

heat energy, heat pump, heat supply, cost price, gas boiler house.

REFERENCES

  1. PM outlines his Ten Point Plan for a Green Industrial Revolution for 250,000 jobs, Government UK, available at: https://www.gov.uk/government/news/pm-outlines-his-ten-point-plan-for-a-green-industrial-revolution-for-250000-jobs (accessed September 1, 2022).
  2. White Paper: Heat Pumps - Integrating Technologies to Decarbonise Heating and Cooling, available at: https://www.ehpa.org/fileadmin/red/03._Media/Publications/ehpa-white-paper-pdf (accessed September 1, 2022).
  3. Arnaudo, M., Topel, M. and Laumert, B. (2020), “Techno-economic analysis of demand side flexibility to enable the integration of distributed heat pumps within a swedish neighborhood”, Energy, Vol. 195, DOI:https://doi.org/10.1016/j.energy.2020.117012
  4. Chen, Y., Wang, J., Ma, C. and Shi, G. (2019), “Multicriteria performance investigations of a hybrid ground source heat pump system integrated with concentrated photovoltaic thermal solar collectors”, Energy Conversion and Management, Vol. 197, DOI:https://doi.org/10.1016/j.enconman.2019.111862
  5. Dai, B., Qi, H., Liu, S., Ma, M., Zhong, Z., Li, H. and Sun, Z. (2019), “Evaluation of transcritical CO2 heat pump system integrated with mechanical subcooling by utilizing energy, exergy and economic methodologies for residential heating”, Energy Conversion and Ma­nagement, Vol. 192, pp. 202-220, DOI:https://doi.org/10.1016/j.enconman.2019.03.094
  6. Doračić, B., Pukšec, T., Schneider, D.R. and Duić, N. (2020), “The effect of different parameters of the excess heat source on the levelized cost of excess heat”, Energy, Vol. 201, DOI:https://doi.org/10.1016/j.energy.2020.117686
  7. Harkouss, F., Fardoun, F. and Biwole, P.H. (2019), “Optimal design of renewable energy solution sets for net zero energy buildings”, Energy, Vol. 179, pp. 1155-1175, DOI:https://doi.org/10.1016/j.energy.2019.05.013
  8. Huang, P., Lovati, M., Zhang, X., Bales, C., Hallbeck, S., Becker, A. and Maturi, L. (2019), “Transforming a residential building cluster into electricity prosumers in sweden: Optimal design of a coupled PV-heat pump-thermal storage-electric vehicle system”, Applied Energy, Vol. 255, DOI:https://doi.org/10.1016/j.apenergy.2019.113864
  9. Popovski, E., Aydemir, A., Fleiter, T., Bellstädt, D., Büchele, R. and Steinbach, J. (2019), “The role and costs of large-scale heat pumps in decarbonising existing district heating networks – A case study for the city of Herten in Germany”, Energy, Vol. 180, pp. 918-933, DOI:https://doi.org/10.1016/j.energy.2019.05.122
  10. Siraganyan, K., Dasun Perera, A.T., Scartezzini, J. and Mauree, D. (2019), “Eco-SiM: A parametric tool to evaluate the environmental and economic feasibility of decentralized energy systems”, Energies, Vol. 12, no. 5, DOI:https://doi.org/10.3390/en12050776
  11. Urbanucci, L., Bruno, J.C. and Testi, D. (2019), “Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems”, Applied Energy, Vol. 238, pp. 516-533, DOI:https://doi.org/10.1016/j.apenergy.2019.01.115
  12. Urbanucci, L. and Testi, D. (2019), “Integration of reversible absorption heat pumps in cogeneration systems: Exergy and economic assessment”, Energy Conversion and Management, Vol. 200, DOI:https://doi.org/10.1016/j.enconman.2019.112062
  13. Zuberi, M.J.S., Chambers, J. and Patel, M.K. (2021), Techno-economic comparison of technology options for deep decarbonization and electrification of residential heating, Energy Efficiency, Vol. 14, no. 7, DOI:https://doi.org/10.1007/s12053-021-09984-7
  14. Kuts, G.O., Stanytsina, V.V. and Kobernik, V.S. (2016) “Comparative estimate of the cost of thermal energy from the operating and projected heat-generating sources for the systems of heat supply of Ukraine”, Problemy zahalnoyi enerhetyky, Vol. 3, no. 46, pp.12-18, avai­lable at: https://doi.org/10.15407/pge2016.03.012
  15. Stanytsyna, V.V. (2019), “Determination of the levelized cost of heat of a heat pump station on artesian waters”, Zbirnyk tez XXXVII naukovo-tekhnichnoyi konferentsiyi molodykh vchenykh ta spetsialistiv Instytutu problem modelyuvannya v enerhetytsi im. H.YE. Pukhova NAN Ukrayiny [Abstracts of the XXXVII Scientific and technical conference of young scientists and specialists of G.E. Pukhov Institute for Modelling in Energy Engineering of National Academy of Sciences of Ukraine], Kyiv, PIMEE of NAS of Ukraine, May 15, 2019, pp. 67-68.
  16. Malyarenko, О., Maistrenko, N., Stanytsina, V. and Bogoslavska, О. (2019), “Improved complex method of forecasting energy consumption on a long-term perspective”, Enerhetyka: ekonomika, tekhnolohiyi, ekolohiya, 3, pp. 53-64, available at: https://doi.org/10.20535/1813-5420.3.2019.196383
  17. Basok, B.I. and Dubovsky, S.V. (2019), “Aggregated assessment of heat capacity and volumes of production of renewable energy by heat pumps in Ukraine”, Teplovi nasosy v Ukrayini, Vol. 1, pp. 2-6, available at: http://www.unhpa.com.ua/wp-content/uploads/2019/ 05/%D0%B6%D1%83%D1%80%D0%BD%D0%B0%D0%BB-% D1%82%D0%BD2019.pdf.
  18. Heat pumps Softenergi (Ukraine), Website of the company "Renevita", available at: http://renvita.com.ua/heat-pumps/heat-pumps-softenergi-ukraine.html.
  19. Renewable alternative energy sources for you, Website of the company "Power-ecoenergy", available at: http://power-ecoenergy.com.ua/ (accessed December 1, 2022).
  20. Sotnyk, M.I., Sapozhnikov, S.V., Antonenko, S.S. and Khovansky, S.O. (2018), “The potential of the Sumy region for the use of alternative sources of energy and alternative types of fuel”, Visnyk Sumskoho derzhavnoho universytetu, Seriya Ekonomika, Vol. 2, pp. 13-24, DOI: 10.21272/1817-9215.2018.2-02, available at: https://essuir.sumdu.edu.ua/bitstream-download/123456789/70952/1/Sotnyk.pdf.
  21. Regional program of modernization of heat supply systems of the Sumy region for 2016-2020 from July 28, 2016.
  22. Heat pump in the Karpaty sanatorium (Truskavets): an interesting technical solution, maximum efficiency, "Sustainable Energy" company website, October 6, 2018, available at: https://stala-energia.ub.ua/analytic/29118-teploviy-nasos-u-sanatoriyi-karpati-truskavec--cikave- tehnichne-rishennya-maksimalna-efektivnist.html (accessed September 1, 2022).
  23. Sanatorium in Morshyn saves 39 thousand m3 of gas every year thanks to the use of the heat of the sun and the heat of waste water, ECOTOWN, July 31, 2014, available at: https://ecotown.com.ua/news/Sanatoriy-u-Morshyni-shchoroku-ekonomyt-39-tys-m3-hazu-zavdyaky-vykorystannyu-tepla-sontsya-i-tepla-/ (accessed September 1, 2022).
  24. In Horyshnyi Plavnyi, sewage is used for heating the premises of the water utility, Information program "Today" on the channel "Ukraine" for August 8, 2017, available at: https://www.youtube.com/watch?v=tQgE1dobJI4 (accessed September 1, 2022).
  25. In Horishni Plavnyi, waste water heat is used for heating, Budportal, The main construction portal of Ukraine, February 13, 2017, available at: http://budport.com.ua/news/4733-u-gorishnih-plavnyah-vikoristovuyut-teplo-stichnih-vod-dlya-opalennya (accessed September 1, 2022).
  26. In Gorishni Plavny they heat with the heat of sewage, Status Quo, Poltava, February 20, 2017, available at: https://poltava.sq.com.ua/rus/news/novosti/20.02.2017/poltavskiy_ detsad_otaplivayut_teplom_iz_kanalizatsii/ (accessed September 1, 2022).
  27. Thanks to heat pumps, the new kindergarten in Masany saves on heating, Official web portal of the Chernihiv City Council, January 27, 2020, available at: https://chernigiv-rada.gov.ua/news/id-41091/ (accessed September 1, 2022).
  28. Myasnikova, A. and Leptuga, I. (2019), How residents of the village of Veseloe save energy, July 26, 2019, available at: https://nakipelo.ua/uk/kak-zhiteli-sela-veseloe-ekonomyat-na-energoresursa-2/ (accessed September 1, 2022).
  29. Heat pump: thermal power for heating and hot water supply, The Hitachi Ukraine company website, available at: https://hitachi-ukraine.com.ua/raschyot-teplovogo-nasosa-vozdukh-voda.html#%E2%84%967 (accessed September 1, 2022).
  30. Heating without gas, Heat pump, solid fuel boiler or solar collectors?, New Energy Systems LLC company website, available at: https://nse.com.ua/ru/%D1%81%D1%82%D0%B0% D1%82%D1%8C%D0%B8/heating-without-gas.html (accessed September 1, 2022).
  31. Heat pumps, Kontaktor company website, available at: https://kontaktor.com.ua/energy-saving/teplovy-e-nasosy/ (accessed September 1, 2022).
  32. Renewable alternative energy sources for you, "Power-ecoenergy" company website, available at: http://power-ecoenergy.com.ua/ (accessed September 1, 2022).
  33. Ukrainian-made heat pump - price, Website of the "geosun" company, available at: https:// geosun.com.ua/uk/teplovyi-nasos-ukrainskoho-vyrobnytstva/ (accessed September 1, 2022).
  34. Hiser, New Energy Systems website, available at: https://nse.com.ua/ru/hiseer.html (accessed September 1, 2022).
  35. Oslovsky, S.O. (2019), Analysis of combined heat pump heating and ventilation systems using low-temperature energy sources, available at: https://ela.kpi.ua/bitstream/123456789/ 27744/1/Oslovskiy_magistr.pdf (accessed September 1, 2022).
  36. Cui, Y., Zhu, J., Twaha, S., Chu, J., Bai, H., Huang, K. and Soleimani, Z. (2019), Techno-economic assessment of the horizontal geothermal heat pump systems: A comprehensive review, Energy Conversion and Management, Vol. 191, pp. 208–236, DOI:https://doi.org/10.1016/j.enconman.2019.04.018
  37. Specifications PUHZ-SHW140YHA PUHZ-SHW230YKA, Website of Mitsubishi Electric Zubadan representative office in Hungary, available at: https://www.zubadan.info.hu/ aruhaz/media/pdf/zubadan_puhz_shw230yka_muszaki_adatok_en.pdf (accessed September 1, 2022).
  38. Baez, M.J. and Larriba Martínez, T. (2015), Technical Report on the Elaboration of a Cost Estimation Methodology, Creara, Madrid, Spain.
  39. Projected Costs of Generating Electricity (2010), International Energy Agency (IEA).
  40. The procedure for calculating the cost of the natural gas distribution service, Vinnytsiagaz website, December 30, 2020, available at: https://vn.dsoua.com/ua/services/zaplatiti-za-gaz/jak-rozrahuvati-vartist-dostavki-gazu/id/porjadok-rozrahunku-vartosti-poslugi-rozpodilu-pri-37099# sub37100 (accessed September 28, 2022).
  41. Natural gas prices, Zaporizhzhya City Council website, available at: https://zp.gov.ua/ uk/page/perelik-tarifiv (accessed September 28, 2022).
  42. Gas tariffs for the population from 07/1/2022 to 07/31/2022, Ministry of Finance website, available at: https://index.minfin.com.ua/tariff/gas/2022-07-01/ (accessed September 28, 2022).
  43. Memorandum of understanding on the settlement of problematic issues in the field of thermal energy supply and hot water supply in the heating period 2021/2022, available at: https://ternopilcity.gov.ua/app6/memorandum.pdf (accessed September 28 2022).
  44. Golovnyov, S. and Vinnichuk, Yu. (2021), “Schools and kindergartens buy gas at 35-45 thousand UAH, and part of the population will pay twice as much”, Business Censor, avai­lable at: https://biz.censor.net/r3292974 (accessed September 1, 2022).
  45. Gas tariffs from September 1, 2022, Ministry of Finance website, available at: https://index.minfin.com.ua/ua/tariff/gas/2022-09-01/ (accessed September 28, 2022).
  46. Gas for Ukraine, Naftogaz website, available at: https://www.naftogaz.com/information/ postachannya-gazu#:~:text=Нафтогаз%20пропонує%20бюджетним%20установам% 20та, укладається%20до%20кінця%202022%20року (accessed September 28, 2022).
  47. Prozorro, available at: https://prozorro.gov.ua/ (accessed September 28, 2022).
  48. Prices for universal services for September 2022, Rivne Regional Power Supply Company, available at: https://www.ez.rv.ua/tsiny-na-universalni-poslugy-na-veresen-2022-roku-span-class-label-label-success-aktualno-span/ (accessed September 28, 2022).
  49. Bilodid, V.D. and Stanytsyna, V.V. (2020), Estimation of the efficiency of thermal energy production by heat pump stations on the basis of heat of low-temperature groundwater according to the methodology of full energy costs, Vol. 3, no. 62, p. 46-52, available at: https://doi.org/10.15407/pge2020.03.046
  50. Heat pump VDE TN-310 (331.6 kW), ESTAR website, available at: https://energostar.kiev.ua/ua/p141429470-teplovoj-nasos-vde.html (accessed September 1, 2022).
  51. Heat pump "air-water" Mitsubishi Electric 2x23 kW (Case for a house of 500 m2), available at: https://nse.com.ua/ru/объекты/тепловые-насосы/puhz-shw230yka_fitness.html (acces­sed September 1, 2022).
  52. Gas boiler ATON Atmo 25 E, ARTiss™ company website, available at: https://artiss.ua/boiler-gas-aton-25-e/ (accessed September 1, 2022)

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