Design and Experimental Investigation of a Thermoelectric Conversion Device with Power Management for Forest Fire Monitoring

Author:

Ga Latai1,Zhang Yuqi2,Xu Daochun1ORCID,Li Wenbin1

Affiliation:

1. Key Lab of State Forestry and Grassland Administration for Forestry Equipment and Automation, School of Technology, Beijing Forestry University, Beijing 100083, China

2. Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK

Abstract

Forest fires have long been a significant global problem. How to reliably accomplish the early warning and real-time monitoring of forest fires has become a pressing issue in order to limit the damage caused by forest fires. A novel technological approach for forest fire monitoring has been made possible by the quick development of wireless sensor network (WSN) technology. Currently, batteries are the primary source of power for WSNs used in forests, but frequent battery replacement will compromise the network for monitoring. As a result, the power supply is the key limit to its application in forest areas. This paper puts forward the thermoelectric conversion based on the Seebeck effect. Its notable feature is to convert heat energy into electric energy through the temperature difference between shallow soil and air. In the process of testing the device, the maximum voltage was 803.36 mV. At the same time, a power management system (PMS) for a thermoelectric conversion device was designed. The main feature of this system is that there is no need for an external control module. In the laboratory test, the minimum input power of this system was 200 mV. When the load resistance was 8 KΩ, the output power was 0.55 mW, and the maximum efficiency could reach 65.38% when the input was 500 mV, which fulfills the requirements of low cost and high reliability, providing a feasible solution for solving the energy limitation problem of WSNs in a forest area.

Funder

National Natural Science Foundation of China

the Outstanding Graduate Mentor Team Foundation of Beijing Forestry University

Publisher

MDPI AG

Subject

Forestry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Thermoelectrics and thermocells for fire warning applications;Science Bulletin;2023-12

2. Performance Analysis of Wireless Sensor Network Node Based on Thermoelectric Generator Using SPICE Model;2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2023-06-05

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