A Compact Energy Harvesting System for Outdoor Wireless Sensor Nodes Based on a Low-Cost In Situ Photovoltaic Panel Characterization-Modelling Unit

被引:4
|
作者
Antolin, Diego [1 ]
Medrano, Nicolas [1 ]
Calvo, Belen [1 ]
Martinez, Pedro A. [1 ]
机构
[1] Univ Zaragoza, Dept Ingn Elect & Comunicac, Aragon Inst Engn Res I3A, Grp Elect Design GDE, C Pedro Cerbuna 12, E-50009 Zaragoza, Spain
关键词
maximum power point tracking; solar panel; artificial neural network; PV modelling; energy harvesting; wireless sensor network; cyber-physical systems;
D O I
10.3390/s17081794
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper presents a low-cost high-efficiency solar energy harvesting system to power outdoor wireless sensor nodes. It is based on a Voltage Open Circuit (VOC) algorithm that estimates the open-circuit voltage by means of a multilayer perceptron neural network model trained using local experimental characterization data, which are acquired through a novel low cost characterization system incorporated into the deployed node. Both units-characterization and modelling-are controlled by the same low-cost microcontroller, providing a complete solution which can be understood as a virtual pilot cell, with identical characteristics to those of the specific small solar cell installed on the sensor node, that besides allows an easy adaptation to changes in the actual environmental conditions, panel aging, etc. Experimental comparison to a classical pilot panel based VOC algorithm show better efficiency under the same tested conditions.
引用
收藏
页数:18
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