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Measurement of the electric energy storage capacity in solar thermoelectric generators’ energy harvesting modules

Author

Listed:
  • Pedro C Dias
  • Flávio JO Morais
  • Luis FC Duarte
  • Maria Bernadete M França
  • Anderson W Spengler
  • Andreu Cabot

Abstract

Reducing energy consumption is mandatory in self-powered sensor nodes of wireless sensor networks that obtain all their energy from the environment. In this direction, one first step to optimize the network is to accurately measure the total energy harvested, which will determine the power available for sensor consumption. We present here a technique based on an embedded circuit with an ultra-low-power microcontroller to accurately measure the efficiency of flat-panel solar thermoelectric generators operating with environmental temperature gradients. Experimental tests showed that when a voltage of 180 mV (best case in an environmental flat-panel solar thermoelectric generators) is applied to the input of the DC–DC converter, the proposed technique eliminates a measurement error of 33% when compared with the conventional single supercapacitor strategy.

Suggested Citation

  • Pedro C Dias & Flávio JO Morais & Luis FC Duarte & Maria Bernadete M França & Anderson W Spengler & Andreu Cabot, 2017. "Measurement of the electric energy storage capacity in solar thermoelectric generators’ energy harvesting modules," International Journal of Distributed Sensor Networks, , vol. 13(3), pages 15501477166, March.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:3:p:1550147716685423
    DOI: 10.1177/1550147716685423
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    References listed on IDEAS

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    1. Deyu Lin & Quan Wang & Deqin Lin & Yong Deng, 2015. "An Energy-Efficient Clustering Routing Protocol Based on Evolutionary Game Theory in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(11), pages 409503-4095, November.
    2. Zhenjiang Zhang & Yanan Wang & Fuxing Song & Wenyu Zhang, 2015. "An Energy-Balanced Mechanism for Hierarchical Routing in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 11(10), pages 123521-1235, October.
    3. Muhammad Mysorewala & Muhammad Sabih & Lahouari Cheded & Mohammad Tariq Nasir & Muhammad Ismail, 2015. "A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data," International Journal of Distributed Sensor Networks, , vol. 11(10), pages 675454-6754, October.
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    Cited by:

    1. Cheng, Qiulei & Tian, Song & Long, Haitian & Gui, Yingang & Yi, Qiang & Li, Shoutai & Wang, Ping & Gao, Mingyuan & Sun, Yuhua, 2025. "Energy self-sufficient power supply method for trackside detection sensors," Renewable Energy, Elsevier, vol. 238(C).

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