EconPapers    
Economics at your fingertips  
 

New machine functions using waste heat recovery: A case study of atmospheric pressure plasma jet

Ping-Chia Hsu, Ahmad Abror Saragih, Mei-Jiau Huang and Jia-Yang Juang

Energy, 2022, vol. 239, issue PD

Abstract: Intelligent machines, the cornerstone of Industry 4.0, possess various sensors for monitoring key processing and environmental parameters. These sensors demand additional power, while the machines often produce waste heat. Hence, we propose using a thermoelectric generator (TEG) to recover the waste heat and generate electricity to drive these sensors. A standard design for an atmospheric pressure plasma jet (APPJ) is demonstrated in this work. A so-driven multi-functional monitoring system monitors the processing temperature of the APPJ and air quality in the surroundings, transmits the data to cloud storage, and alarms if the temperature or air quality exceeds a preset value. We study three different arrangements of TEGs and find that double TEGs connected in series thermally and electrically generate the most power of 1.09 ± 0.0002 W at a current of 0.187 ± 0.002 A, which is sufficient to drive the monitoring system continuously. We also perform three-dimensional finite element transient thermal simulations to pre-assess the detailed temperature distribution for film-quality control and the potential for power generation. Our method can be readily applied to other machines with high waste heat for adding sensors/actuators without consuming extra power.

Keywords: Intelligent machines; Atmosphere pressure plasma jet (APPJ); Waste heat recovery; Thermoelectric generator (TEG); Sensing and monitoring (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221026219
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026219

DOI: 10.1016/j.energy.2021.122372

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026219