Design and Experimentation of Peltier-Based Thermoelectric Cooling Vaccine Carrier Box

Authors

  • Yousaf Khan University of Engineering and Technology, Peshawar, Pakistan Author
  • Taimur Ahmed Khan University of Engineering and Technology, Peshawar, Pakistan Author
  • Muhammad Ilyas University of Engineering and Technology, Khuzdar, Pakistan Author

DOI:

https://doi.org/10.57041/cwmf6262

Keywords:

Thermoelectric Cooler, Peltier Effect, Coefficient of Performance, Heat Sink, Solar Panel, Cold Chain System

Abstract

Vaccines are typically administered during routine immunization programs, with a critical focus on maintaining a cold chain system. The cold chain system plays a pivotal role in ensuring the efficacy of vaccines. In this paper, a portable solar-powered vaccine carrier box based on the Peltier Effect for effective vaccine cooling is designed and experimented with. The system has four 12V DC 3.5A Thermoelectric Cooler (TEC) Peltier Modules, with strategically positioned heat sinks outside the cooling box. Additionally, the setup incorporates a 12V 180W Solar Panel for daytime power generation and eight Rechargeable Li-Po 3.7V 4500mAh batteries for uninterrupted operation for 3 hours. The experimentation involved three distinct conditions. Firstly, a gradual temperature decrease was observed in the empty cooling box. Secondly, with the introduction of 10 sterile glass vaccine tubes filled with water, the temperature decreased more slowly, reaching 15°C in 62 minutes and 8°C after 90 minutes. Lastly, with 6 vaccine tubes, it took approximately 55 minutes to reach 15°C and about 90 minutes to achieve the desired 8°C temperature. The system exhibits a Coefficient of Performance of 0.42. The results emphasize the efficient cooling performance of the developed storage system, highlighting its capability to maintain temperatures below 15°C, a critical factor in preserving vaccines.

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Published

2024-06-28

How to Cite

Design and Experimentation of Peltier-Based Thermoelectric Cooling Vaccine Carrier Box. (2024). Journal of Artificial Intelligence and Computing, 2(1), 23-28. https://doi.org/10.57041/cwmf6262

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