An Online Remote Verification System of Thermal Sources for Energy Harvesting Application

被引:8
|
作者
Camboim, Marcelo Miranda [1 ]
Oliveira, Vinicius Silva [1 ]
Villarim, Mariana Rodrigues [1 ]
Villarim, Andrea Willa Rodrigues [1 ]
Catunda, Sebastian Yuri Cavalcanti [2 ]
Baiocchi, Orlando R. [3 ]
de Souza, Cleonilson Protasio [1 ]
机构
[1] Univ Fed Paraiba, Dept Elect Engn, BR-58051900 Joao Pessoa, Paraiba, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Comp Engn & Automat, BR-59078970 Natal, RN, Brazil
[3] Univ Washington Tacoma, Sch Engn & Technol, Tacoma, WA 98402 USA
关键词
Temperature sensors; Wireless sensor networks; Temperature measurement; Emulation; Energy harvesting; Remote sensing; Vegetation; Internet of Things; remote sensing; thermoelectricity; SOLAR;
D O I
10.1109/TIM.2020.2986105
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Several thermoelectric energy harvesting applications have been introduced recently, showing an increasing interest in thermoelectric energy, mainly using Thermoelectric generators (TEGs) that convert heat directly into electrical energy. Some examples of thermoelectric energy harvesting applications are in the human body, wearable devices, and aircraft. However, several studies and development steps are previously needed to build a complete thermal harvester to prove whether it can generate a useful amount of energy. In this context, a way to early verify the potential of a possible thermal source before building the thermal harvester is needed to save either time or funding resources. In this article, a complete system to verify the capabilities of thermal sources before building the final thermal harvester is presented. The proposed system runs a procedure of simultaneous sampling and emulating thermal gradients, that is, while the temperature gradient of the thermal source under test (TSUV) is sampled, the system emulates this gradient and applies it on a TEG, which can predict the potential of the TSUV. In addition, using long-range-based wireless connectivity, the proposed system operates remotely, meaning that the temperature gradient sampling process can be far away from the temperature gradient emulation process, allowing to evaluate thermal sources in very hard spots, for instance, inside building structures or faraway pipelines. Experimental results show the emulation of two potential thermal sources, namely, tree trunks and the back surface of the photovoltaic modules.
引用
收藏
页码:7962 / 7973
页数:12
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