H. Illias, Nabilah Syuhada Ishak, H. Mokhlis, Md. Zahir Hossain
{"title":"IoT-based Hybrid Renewable Energy Harvesting System from Water Flow","authors":"H. Illias, Nabilah Syuhada Ishak, H. Mokhlis, Md. Zahir Hossain","doi":"10.1109/PECon48942.2020.9314412","DOIUrl":null,"url":null,"abstract":"A prototype of smart hybrid renewable energy harvesting from water flow and storage system with Internet of Things (IoT)-based energy monitoring system was developed. The energy harvested from the water flow was stored in an energy storage system and could be utilized for low-voltage applications. The possible maximum energy that can be harvested from this prototype is around 100Wh per day. The IoT-based energy monitoring system was used to monitor the amount of energy harvested and utilized in real time mode and remotely. The energy harvesting part was evaluated under different parameters to identify the conditions that can yield the possible maximum energy harvested. It was found that the distance between the energy harvester and the source of water flow, the rate of water flow, the orientation of the harvester sensors and the number of sensors strongly influence the amount of energy harvested.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"209 1","pages":"204-208"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECon48942.2020.9314412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
A prototype of smart hybrid renewable energy harvesting from water flow and storage system with Internet of Things (IoT)-based energy monitoring system was developed. The energy harvested from the water flow was stored in an energy storage system and could be utilized for low-voltage applications. The possible maximum energy that can be harvested from this prototype is around 100Wh per day. The IoT-based energy monitoring system was used to monitor the amount of energy harvested and utilized in real time mode and remotely. The energy harvesting part was evaluated under different parameters to identify the conditions that can yield the possible maximum energy harvested. It was found that the distance between the energy harvester and the source of water flow, the rate of water flow, the orientation of the harvester sensors and the number of sensors strongly influence the amount of energy harvested.