Estimating Harvestable Energy in Time-Varying Indoor Light Conditions
Estimating Harvestable Energy in Time-Varying Indoor Light Conditions
复制标题
估算随时间变化的室内光照条件下的可收获能量
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
B. Oelmann
中科院分区：
文献类型：
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作者：
Xinyv Ma;S. Bader;B. Oelmann
环境光能量收集是一种经济有效的成熟方法，可为许多室内应用中的低功耗传感器系统供电。尽管已知光源的光谱信息影响光伏电池的效率和输出功率，但是环境照明的光谱是由于在表征用于功率估计目的的光条件时经常被忽略的测量复杂性。在本文中，我们评估的影响，考虑频谱信息的能量估计精度。我们创建了一个基于八个位置的典型室内环境中不同光照条件的数据集。对于每个位置，我们比较的能量估计精度和频谱的考虑。这项调查的结果表明，基于光谱的方法导致显着的性能改善的情况下，光条件不是由一个单一的光源定义。
Ambient light energy harvesting is a cost-effective and mature approach for supplying low-power sensor systems with power in many indoor applications. Although the spectral information of a light source is known to influence the efficiency and output power of a photovoltaic cell, the spectrum of the ambient illumination is due to measurement complexity often neglected when characterizing light conditions for power estimation purposes. In this paper we evaluate the influence of considering spectral information on the energy estimation accuracy. We create a dataset of varying light conditions in a typical indoor environment based on eight locations. For each location, we compare the energy estimation accuracy with and without spectral considerations. The results of this investigation demonstrate that a spectrum-based method leads to significant performance improvements in cases where the light condition is not defined by a single light source.