Krasnoyarsk, Krasnoyarsk, Russian Federation
Krasnoyarsk, Krasnoyarsk, Russian Federation
UDC 631.172
In connection with the mass construction of rural residential buildings in Russia, which have a larger area than in previous years (100–200 m2 and more) and equipping them with modern energy-saturated systems of heating, hot water supply, food preparation and household electrical appliances, the problems of power supply to the settlements of the SZD are becoming urgent, which are primarily reduced to an increase in the design capacity by two or more times and a significant asymmetry of the load on three-phase inputs to houses. which leads to emergency modes of operation of the power supply systems of the SZD settlements, especially during the hours of abnormally low winter outdoor temperatures. An example is the winter of 2023, when there were large power outages in a number of rural settlements in Siberia, including the Krasnoyarsk Region. Intelligent systems for managing the modes of power consumption of the SZD on a priority principle based on «Smart House» technologies are designed to solve issues related to load balancing at inputs to the SZD, reducing peaks in the daily load schedules of consumers, and equalizing load schedules at transformer substations (TS). The immediate economic effect for consumers will be the transition from single-rate electricity tariffs to multi-rate ones, which, ultimately, will lead to a faster return on investment and, importantly, to a significant increase in the comfort of residents living in the house. The economic effect from the introduction of intelligent control systems for «Smart House» electric receivers is achieved by: changing the power supply scheme of the SZD village with a reduction in the amount of one-time costs; saving electricity costs through the use of automatic control of Smart Home power receivers on a priority basis and differentiated tariffs by time of day; alignment of the load schedule and other factors. Calculations showed that the net present value (NPV) for three years would be 109 thousand. Rubles, which indicates the economic efficiency of the Smart Home project. The economic effect is provided by saving electricity costs when using the intelligent control system and differentiated tariffs by time of day. According to the criterion of the given discounted costs, their value is 12466.7 thousand rubles and 6979 thousand rubles, respectively, in the project scenario they are 50% lower, the option is cost-effective and can be implemented.
rural residential house, «Smart House», power supply system, differentiated tariff for electricity, capital investments, depreciation charges, costs of current repairs, net present value
1. Povyshenie effektivnosti vnutrennih sistem elektrosnabzheniya sel'skih zhilyh domov putem ispol'zovaniya akkumulyacionno-protochnyh vodonagrevateley / A.V. Bastron [i dr.] // Nauka i obrazovanie: opyt, problemy, perspektivy razvitiya: mat-ly mezhdunar. nauch.-prakt. konf. Krasnoyarsk, 2024. S. 140–145.
2. K voprosu o povyshenii effektivnosti proektnyh resheniy pri razrabotke vnutrennih elektricheskih setey sel'skih domovladeniy / A.V. Bastron [i dr.] // Vestnik NGIEI. 2022. № 2 (129). S. 41–55.
3. K voprosu o povyshenii effektivnosti proektnyh resheniy sel'skih raspredelitel'nyh elektricheskih setey / A.V. Bastron [i dr.] // Vestnik NGIEI. 2024. № 7 (158). S. 57–70.
4. Bastron A.V., Naumov I.V. Issledovanie nesimmetrichnyh rezhimov raboty vnutrennih elektricheskih setey individual'nyh zhilyh domov v sel'skoy mestnosti // Vestnik NGIEI. 2022. № 6. S. 44–58.
5. Sinenko M.A., Bastron A.V. Analiz sistem upravleniya elektropriemnikami zhilyh domov «Umnyy dom» // Resursosberegayuschie tehnologii v agropromyshlennom komplekse Rossii: mat-ly IV mezhdunar. nauch. konf. Krasnoyarsk, 2024. S. 166–171.
6. Polischuk E.I. Aktual'nost' primeneniya sistemy «Umnyy dom» v individual'nom zhilom dome // Molodye uchenye – razvitiyu Nacional'noy tehnologicheskoy iniciativy (POISK – 2019). 2019. № 1-2. S. 205–207.
7. Kaveh A., Vazirinia Y. Smart-home electrical energy scheduling system using multi-objective antlion optimizer and evidential reasoning // SCIENTIA IRANICA. 2020. V. 27 (1). P. 177–201.
8. Energy management in smart buildings and homes / U. Mir [et al.] // Current Approaches, a Hypothetical Solution, and Open Issues and Challenges // IEEE ACCESS. 2021. V. 9. P. 94132–94148.
9. Yermaganbetova M.A., Dildabek A.K. Smart home is a new standard of comfort // German International Journal of Modern Science. 2020. № 3-1. P. 41–42.
10. Kvartiry i doma v sel'skih naselennyh punktah // Krasnoyarskenergosbyt. Tarify. – URL: https://krsk-sbit.ru/index.php?route=information/rubric& rubric_id=546 (data obrascheniya: 23.05.2024).
11. STO 56947007-29.240.01.271-2019. Metodicheskie ukazaniya po tehniko-ekonomicheskomu obosnovaniyu elektrosetevyh ob'ektov. Etalony obosnovaniy. URL: https://www.rosseti.ru/upload/iblock/6dd/p9g5uwgkm6uscowhesbwemig4te 431wo.pdf (data obrascheniya: 23.05.2024).
12. Vodyannikov V.T. Ekonomicheskaya ocenka investicionnyh proektov v agroinzhenerii: ucheb. posobie dlya vuzov. SPb.: Lan', 2022. 268 s.
13. Platforma ARDUINO. URL: https://future2day.ru/umnyj-dom-na-osnove- arduino/?ysclid=loprd4upay 595509801 (data obrascheniya: 23.05.2024).
