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Research Article

A thermoelectric generation system using waste heat recovery from petrochemical pipeline to power wireless sensor

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Pages 7694-7704 | Received 21 Feb 2023, Accepted 02 May 2023, Published online: 13 Jun 2023
 

ABSTRACT

Wireless monitoring sensor gradually replaces wired equipment for data support in petrochemical industry production. This paper presented a design of a thermoelectric generator (TEG) system-based petrochemical pipeline waste heat recovery for wireless sensor. The TEG is assembled using an easy-to-modify structure that can be mechanically adjusted to different pipelines. Besides, we designed a new zero-power, micro-vibration, and easy-to-install heat sink for TEG applied in high-temperature petrochemical pipelines. The proposed TEG prototype has been fabricated and tested. The experimental results show that the system proposed in this work can supply enough energy to sustain the operation of a wireless sensor node that measures petrochemical fluid temperature and pressure for precision industrial production applications. The minimum output power is 24.7 mW at the hot side of thermoelectric generation (TEG) temperature of 100◦C −190◦C. This work presents a promising, cost-effective new approach to the conversion of waste heat into electricity for self-powered sensor networks.

Acknowledgements

This work was supported by the National Natural Science Foundation (61904010), the Startup fund of Beijing Institute of Technology, the Grant of State Key Lab of Space Medicine Fundamentals and Application (SMFA17B02 and SMFA20C01).

Disclosure statement

The authors declare that they have no relevant financial or non-financial competing interests that could have appeared to influence the work reported in this paper.

Additional information

Notes on contributors

Bo Li

Bo Li received the B.S. degree in automation in 2021 from the Beijing University of Chemical Technology, China, where he is currently working toward the M.S. degree in control science and engineering. His research interests include embedded system and semiconductor energy conversion.

Xiaoliang Guo

Xiaoliang Guo received the B.S. degree in measurement and control technology and instruments from the Harbin Institute of Technology, Harbin, China, in 2011 and the Ph.D. degree from Tsinghua University, China, in 2009, in instrument science and technology. He was working at the School of Information of Beijing University of Chemical Technology as an Associate Professor from March 2018 to December 2021. He is currently with the School of Mechatronical Engineering, Beijing Institute of Technology, as an Associate Professor. His research interests include micro and nano sensors, advanced microfluidic chips with biological instruments and smart wearable sensors.

Tianyang Li

Tianyang Li received the B.S. degree in automation in 2022 from the Beijing University of Chemical Technology, Beijing, China, where he is currently working toward the M.S. degree in control science and engineering. His research interests include semiconductor energy conversion.

Yu-Tao Li

Yu-Tao Li graduated from the School of Optics and Electronic Information, Huazhong University of Science and Technology with a B.S. degree in 2015, and from the Department of Microelectronics and Nanoelectronics, Tsinghua University with a Ph.D. degree in Engineering in 2020. He is on a visiting research trip to Lawrence Berkeley National Laboratory, USA, from November 2018 to May 2019 to work on chalcogenide based optoelectronic devices. He is currently with the College of Information Science and Technology, Beijing University of Chemical Technology, as an Associate Professor. His research interests include Optoelectronic devices, nano-sensors and artificial intelligence systems.

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