Krishna Seunarine, Zaid Haymoor, Michael Spence, Gregory Burwell, Austin M. Kay, P. Meredith, Ardalan Armin, M. Carnie
{"title":"Light power resource availability for energy harvesting photovoltaics for self-powered IoT","authors":"Krishna Seunarine, Zaid Haymoor, Michael Spence, Gregory Burwell, Austin M. Kay, P. Meredith, Ardalan Armin, M. Carnie","doi":"10.1088/2515-7655/ad1764","DOIUrl":null,"url":null,"abstract":"As the Internet of Things (IoT) expands, the need for energy-efficient, self-powered devices increases. This study examines light power resource availability for photovoltaics (PV) in various environments and its potential in self-powered IoT applications. We analyse light sources, considering spectral distribution, intensity, and temporal variations, and evaluate the impact of location, seasonal variation, and time of day on light power availability. Additionally, we discuss human and building design factors, such as occupancy, room aspect, sensor placement, and décor, which influence light energy availability and power for IoT electronics. Our data identifies best-case and non-ideal scenarios for light resources, estimating the energy yield from a commercially available organic photovoltaic cell, contributing to a deeper understanding of light power resource availability for self-powered IoT devices","PeriodicalId":509250,"journal":{"name":"Journal of Physics: Energy","volume":"12 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physics: Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/2515-7655/ad1764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the Internet of Things (IoT) expands, the need for energy-efficient, self-powered devices increases. This study examines light power resource availability for photovoltaics (PV) in various environments and its potential in self-powered IoT applications. We analyse light sources, considering spectral distribution, intensity, and temporal variations, and evaluate the impact of location, seasonal variation, and time of day on light power availability. Additionally, we discuss human and building design factors, such as occupancy, room aspect, sensor placement, and décor, which influence light energy availability and power for IoT electronics. Our data identifies best-case and non-ideal scenarios for light resources, estimating the energy yield from a commercially available organic photovoltaic cell, contributing to a deeper understanding of light power resource availability for self-powered IoT devices