Jiang Yong, Wang Yupeng, Yan Junhao, Shen Limei, Qin Jiang
School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Sensors (Basel). 2024 Sep 15;24(18):5983. doi: 10.3390/s24185983.
The issue of energy supply for wireless sensors is becoming increasingly severe with the advancement of the Fourth Industrial Revolution. Thus, this paper proposed a thermoelectric self-powered wireless sensor that can harvest industrial waste heat for self-powered operations. The results show that this self-powered wireless sensor can operate stably under the data transmission cycle of 39.38 s when the heat source temperature is 70 °C. Only 19.57% of electricity generated by a thermoelectric power generation system (TPGS) is available for use. Before this, the power consumption of this wireless sensor had been accurately measured, which is 326 mW in 0.08 s active mode and 5.45 μW in dormant mode. Then, the verified simulation model was established and used to investigate the generation performance of the TPGS under the Dirichlet, Neumann, and Robin boundary conditions. The minimum demand for a heat source is cleared for various data transmission cycles of wireless sensors. Low-temperature industrial waste heat is enough to drive the wireless sensor with a data transmission cycle of 30 s. Subsequently, the economic benefit of the thermoelectric self-powered system was also analyzed. The cost of one thermoelectric self-powered system is EUR 9.1, only 42% of the high-performance battery cost. Finally, the SEPIC converter model was established to conduct MPPT optimization for the TEG module and the output power can increase by up to approximately 47%. This thermoelectric self-powered wireless sensor can accelerate the process of achieving energy independence for wireless sensors and promote the Fourth Industrial Revolution.
随着第四次工业革命的推进,无线传感器的能源供应问题日益严峻。因此,本文提出了一种热电自供电无线传感器,它可以收集工业废热以实现自供电运行。结果表明,当热源温度为70°C时,这种自供电无线传感器在39.38秒的数据传输周期下能够稳定运行。热电发电系统(TPGS)产生的电能只有19.57%可供使用。在此之前,已经准确测量了这种无线传感器的功耗,其在0.08秒的活跃模式下为326毫瓦,在休眠模式下为5.45微瓦。然后,建立了经过验证的仿真模型,并用于研究TPGS在狄利克雷、诺伊曼和罗宾边界条件下的发电性能。明确了无线传感器各种数据传输周期对热源的最低需求。低温工业废热足以驱动数据传输周期为30秒的无线传感器。随后,还分析了热电自供电系统的经济效益。一个热电自供电系统的成本为9.1欧元,仅为高性能电池成本的42%。最后,建立了SEPIC转换器模型对TEG模块进行最大功率点跟踪优化,输出功率可提高约47%。这种热电自供电无线传感器可以加速无线传感器实现能源独立的进程,推动第四次工业革命。