实际室内照明条件下的实用PV能量收集
Practical PV energy harvesting under real indoor lighting conditions
摘要：
室内光是一种新的能量来源，可以为uW低功耗无线传感器网络（WSNs）供电。对于消耗数十mW的无线电子设备，在低光室内环境中收获该功率量仍然具有挑战性。挑战来自于辐照度低的事实，以及光源是人造光和自然光的多光谱直接、反射和散射混合，强度和成分随时间变化的事实。本文介绍了一种方法，提供了一个评估的潜在收获的能量在真实的光环境。基于该方法的计算模型，测量了真实条件下的室内光谱组成和受控环境下的光伏转换器的光电特性。真正的收割机原型的基础上GaAs商业光电池和电源管理集成电路，供电的商业无线电子墨水显示器，已被设想与模型计算进行比较。对于两天的实验，模型计算在第1天和第2天分别达到2倍和6倍的平均绝对百分比误差（MAPE）。在该精度范围内的方法将是帮助设计光能收集系统的有用工具，以使得它们可以最好地适应它们将暴露的室内照明条件。
英文摘要：
Indoor light is known to be a new energy source to power uW low consumption wireless sensor networks (WSNs). For wireless electronic devices that consume tens of mW, it is still challenging to harvest this amount of power in a low light indoor environment. The challenge comes from the fact that the irradiance is low, as well the fact that the source is a multi-spectral direct, reflective, and scattered mix of artificial and natural light, with intensity and composition varying in time. This article describes a method providing an evaluation of the potentially harvestable energy in real light environments. Measurements of indoor light spectral composition in real condition and optoelectrical characteristics of photovoltaic converters in a controlled environment are base on the method s calculation model. Real harvester prototypes based on GaAs commercial photovoltaic cells and power management integrated circuit, powering a commercial wireless e-ink display, have been conceived to compare with the model calculations. For two days of experimentation, model calculations achieve a mean absolute percentage error (MAPE) of 2 percents and 6 percents for Day 1 and Day 2, respectively. A method within this accuracy range would be a helpful tool to assist in designing light energy harvesting systems in such ways that they can be best tailored to the indoor lighting conditions to which they will be exposed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
