Y. Soluyanov, A. Fedotov, A. Akhmetshin, V. Soluyanov
{"title":"优化幼儿园和学校用电负荷计算效率的概念","authors":"Y. Soluyanov, A. Fedotov, A. Akhmetshin, V. Soluyanov","doi":"10.1109/USSEC53120.2021.9655722","DOIUrl":null,"url":null,"abstract":"Research by the ““Roselectromontazh” Association” regarding the analysis of half-hour power profiles of kindergartens and schools showed that the actual measured power turned out to be significantly lower than that calculated according to regulatory technical documents. As shown by the estimates of the specialists of the ““Roselectromontazh” Association”, the actual measured power is 2 times lower on average. Updating the specific design electrical loads will lead to a decrease in the cost of technological connection to electrical networks. This task is extremely relevant for the country, since according to the National Project “Education” it is planned to create 230 thousand new students in schools by 2024, and according to the national project “Demography” by 2021 it is planned to create 255 thousand pupils in kindergartens for children under 3 years old, and by 2024 8.6 thousand groups in kindergartens up to 7 years old. In 2020, 737 kindergartens for more than 103 thousand pupils were commissioned in the country. For example, in the Republic of Tatarstan, over 60 schools and 240 kindergartens have been built in 10 years. This task can be accomplished by using smart electricity meters, which can also be used to: classify electricity consumers; forecast electricity demand; monitor the status of the distribution transformer; assess the state of the distribution system; forecast the demand for electricity, etc.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Concept of Optimizing the Efficiency of the Calculation of the Electrical Loads of Kindergartens and Schools\",\"authors\":\"Y. Soluyanov, A. Fedotov, A. Akhmetshin, V. Soluyanov\",\"doi\":\"10.1109/USSEC53120.2021.9655722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research by the ““Roselectromontazh” Association” regarding the analysis of half-hour power profiles of kindergartens and schools showed that the actual measured power turned out to be significantly lower than that calculated according to regulatory technical documents. As shown by the estimates of the specialists of the ““Roselectromontazh” Association”, the actual measured power is 2 times lower on average. Updating the specific design electrical loads will lead to a decrease in the cost of technological connection to electrical networks. This task is extremely relevant for the country, since according to the National Project “Education” it is planned to create 230 thousand new students in schools by 2024, and according to the national project “Demography” by 2021 it is planned to create 255 thousand pupils in kindergartens for children under 3 years old, and by 2024 8.6 thousand groups in kindergartens up to 7 years old. In 2020, 737 kindergartens for more than 103 thousand pupils were commissioned in the country. For example, in the Republic of Tatarstan, over 60 schools and 240 kindergartens have been built in 10 years. This task can be accomplished by using smart electricity meters, which can also be used to: classify electricity consumers; forecast electricity demand; monitor the status of the distribution transformer; assess the state of the distribution system; forecast the demand for electricity, etc.\",\"PeriodicalId\":260032,\"journal\":{\"name\":\"2021 Ural-Siberian Smart Energy Conference (USSEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Ural-Siberian Smart Energy Conference (USSEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USSEC53120.2021.9655722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Ural-Siberian Smart Energy Conference (USSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USSEC53120.2021.9655722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Concept of Optimizing the Efficiency of the Calculation of the Electrical Loads of Kindergartens and Schools
Research by the ““Roselectromontazh” Association” regarding the analysis of half-hour power profiles of kindergartens and schools showed that the actual measured power turned out to be significantly lower than that calculated according to regulatory technical documents. As shown by the estimates of the specialists of the ““Roselectromontazh” Association”, the actual measured power is 2 times lower on average. Updating the specific design electrical loads will lead to a decrease in the cost of technological connection to electrical networks. This task is extremely relevant for the country, since according to the National Project “Education” it is planned to create 230 thousand new students in schools by 2024, and according to the national project “Demography” by 2021 it is planned to create 255 thousand pupils in kindergartens for children under 3 years old, and by 2024 8.6 thousand groups in kindergartens up to 7 years old. In 2020, 737 kindergartens for more than 103 thousand pupils were commissioned in the country. For example, in the Republic of Tatarstan, over 60 schools and 240 kindergartens have been built in 10 years. This task can be accomplished by using smart electricity meters, which can also be used to: classify electricity consumers; forecast electricity demand; monitor the status of the distribution transformer; assess the state of the distribution system; forecast the demand for electricity, etc.