Light power resource availability for energy harvesting photovoltaics for self-powered IoT

Krishna Seunarine, Zaid Haymoor, Michael Spence, Gregory Burwell, Austin M. Kay, P. Meredith, Ardalan Armin, M. Carnie
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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
用于自供电物联网的能量收集光伏技术的光功率资源可用性
随着物联网(IoT)的发展,对高能效、自供电设备的需求与日俱增。本研究探讨了各种环境中光伏(PV)的光功率资源可用性及其在自供电物联网应用中的潜力。我们分析了光源,考虑了光谱分布、强度和时间变化,并评估了位置、季节变化和时间对光功率可用性的影响。此外,我们还讨论了影响物联网电子设备光能可用性和功率的人类和建筑设计因素,如占用率、房间面积、传感器位置和装饰。我们的数据确定了光资源的最佳情况和非理想情况,估算了市售有机光伏电池的能量产出,有助于深入了解自供电物联网设备的光能资源可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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