Anatoliy Prystupa, V. Marhasova, S. Stepenko, Tetiana Kulko, Bohdan Kulik, Kateryna Novyk
{"title":"Optimization of Electricity Consumption for Autonomous Monitoring Station “THEOREMS Dnipro”","authors":"Anatoliy Prystupa, V. Marhasova, S. Stepenko, Tetiana Kulko, Bohdan Kulik, Kateryna Novyk","doi":"10.1109/KhPIWeek57572.2022.9916347","DOIUrl":null,"url":null,"abstract":"This paper presents the results of the investigation of the power supply system of the autonomous monitoring system. The modes of operation of the autonomous automated monitoring station consumers are analysed. The most energy drained by consumers is identified. The measures to reduce energy consumption of the monitoring station as a whole are proposed. It is shown that the optimization of the operating modes of the station elements can significantly (more than 6 times) reduce the total energy consumption of the station and ensure its stable operation without increasing the nominal power of solar panels and battery capacity. The described provisions received practical confirmation at a real plant put into operation at the end of 2019.","PeriodicalId":197096,"journal":{"name":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek57572.2022.9916347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents the results of the investigation of the power supply system of the autonomous monitoring system. The modes of operation of the autonomous automated monitoring station consumers are analysed. The most energy drained by consumers is identified. The measures to reduce energy consumption of the monitoring station as a whole are proposed. It is shown that the optimization of the operating modes of the station elements can significantly (more than 6 times) reduce the total energy consumption of the station and ensure its stable operation without increasing the nominal power of solar panels and battery capacity. The described provisions received practical confirmation at a real plant put into operation at the end of 2019.