Early fever detection on COVID-19 infection using thermoelectric module generators
| Autor: | Jorge Sierra del Rio, Daniel Sanin-Villa, Oscar D. Monsalve-Cifuentes |
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| Rok vydání: | 2021 |
| Předmět: |
Work (thermodynamics)
Materials science General Computer Science Computer simulation Wearable device COVID-19 Numerical simulation Thermoelectric generator Thermocouple Fever detection Electric power Electrical and Electronic Engineering Constant (mathematics) Simulation Parametric statistics Voltage |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 11:3828 |
| ISSN: | 2722-2578 2088-8708 |
| DOI: | 10.11591/ijece.v11i5.pp3828-3837 |
| Popis: | In 2020 the COVID-19 pandemic has suddenly stopped society and changed human interaction. In this work, a thermoelectric generator wearable device for early fever detection symptoms is presented as a possible solution to avoid higher propagation of this disease. To identify a possible fever symptom, numerical and parametric simulations are developed using a highquality-refined hexahedral mesh. At first, a 2-pair-leg thermoelectric module has undergone simulations to establish temperature conditions, open-circuit voltage, and power output generation; and secondly, these previous results are extrapolated for a larger thermoelectric module containing 28 pair-leg of N-P type material. The numerical study shows that a maximum value of electrical power of 60.70 mW was reached for 28-pair-leg N-P type thermocouples under a constant temperature difference of 20 K. |
| Databáze: | OpenAIRE |
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