Jessie R. Balbin, E. Chua, Joshua Paul C. De Leon, John Humphrey Ronn D. Dolor, Roy Lorenz A. Sese
{"title":"基于云的电力负荷优先级光伏系统远程监控系统","authors":"Jessie R. Balbin, E. Chua, Joshua Paul C. De Leon, John Humphrey Ronn D. Dolor, Roy Lorenz A. Sese","doi":"10.1109/HNICEM51456.2020.9400157","DOIUrl":null,"url":null,"abstract":"Power consumption nowadays is now on its peak, paving way to renewable energy technologies in order to sustain the energy demand. One proven abundant and economic source of energy is the sunlight – which can be harvested with the use of photovoltaic systems. However, excessive usage and uncontrolled environmental effects that may take place causes photovoltaic systems to get easily degraded. Hence, the development of monitoring system for PV setups are proposed. This research aims to develop a cloud-based application capable of collecting data on the photovoltaic batteries to determine its state of charge, and to effectively distribute the power on necessary loads, which are predetermined by the consumer, during power failure. The application is expected to display the batteries' state of charge, voltage, and power consumption of loads for further monitoring. The developed prototype was proven to be able to accurately measure the electrical parameters, as well as switch the loads necessary to be supplied during the specific percentage value.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cloud-Based Remote Monitoring System for Photovoltaic Systems with Electrical Load Prioritization\",\"authors\":\"Jessie R. Balbin, E. Chua, Joshua Paul C. De Leon, John Humphrey Ronn D. Dolor, Roy Lorenz A. Sese\",\"doi\":\"10.1109/HNICEM51456.2020.9400157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power consumption nowadays is now on its peak, paving way to renewable energy technologies in order to sustain the energy demand. One proven abundant and economic source of energy is the sunlight – which can be harvested with the use of photovoltaic systems. However, excessive usage and uncontrolled environmental effects that may take place causes photovoltaic systems to get easily degraded. Hence, the development of monitoring system for PV setups are proposed. This research aims to develop a cloud-based application capable of collecting data on the photovoltaic batteries to determine its state of charge, and to effectively distribute the power on necessary loads, which are predetermined by the consumer, during power failure. The application is expected to display the batteries' state of charge, voltage, and power consumption of loads for further monitoring. The developed prototype was proven to be able to accurately measure the electrical parameters, as well as switch the loads necessary to be supplied during the specific percentage value.\",\"PeriodicalId\":230810,\"journal\":{\"name\":\"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM51456.2020.9400157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM51456.2020.9400157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud-Based Remote Monitoring System for Photovoltaic Systems with Electrical Load Prioritization
Power consumption nowadays is now on its peak, paving way to renewable energy technologies in order to sustain the energy demand. One proven abundant and economic source of energy is the sunlight – which can be harvested with the use of photovoltaic systems. However, excessive usage and uncontrolled environmental effects that may take place causes photovoltaic systems to get easily degraded. Hence, the development of monitoring system for PV setups are proposed. This research aims to develop a cloud-based application capable of collecting data on the photovoltaic batteries to determine its state of charge, and to effectively distribute the power on necessary loads, which are predetermined by the consumer, during power failure. The application is expected to display the batteries' state of charge, voltage, and power consumption of loads for further monitoring. The developed prototype was proven to be able to accurately measure the electrical parameters, as well as switch the loads necessary to be supplied during the specific percentage value.