Towards greener cooling: A comprehensive study on the experimental validation and parametric optimization of a thermoacoustic refrigerator

• Experimentally validated computational method for thermoacoustic simulation. • Achieved temperature drop of 124 °C below ambient at a 5 % drive ratio. • Highest coefficient of performance of 1.55 at 5 °C gradient and 1.5 % drive ratio. • Helium found as the best working fluid for optimal thermoacoustic cooling. • Optimal TAR parameters: 3.3 δ k spacing, 0.7 blockage ratio, and 0.24 stack length. Thermoacoustic refrigerators (TARs) offer a promising solution for sustainable cooling by leveraging acoustic energy to remove heat. This study presents a comprehensive analysis of standing wave TARs, focusing on both experimental validation and parametric optimization to enhance their performance. The experimental setup includes a detailed examination of the effects of stack position, frequency, and drive ratio on the system’s temperature gradient and pressure amplitude. Complementary high-fidelity numerical simulations were developed, integrating global and local computational domains to accurately replicate the thermoacoustic phenomena observed experimentally. The validated model, demonstrating less than 5 % relative error, is then employed to perform a parametric sensitivity analysis, exploring optimal geometric and operational parameters such as stack length, spacing, blockage ratio, working fluid, and drive ratio. The results showed that the optimal frequency decreases as the stack was placed away from the closed end (pressure antinode). The optimal normalized stack position ( x n ) shifted from x n = 0.33 at low drive ratio (1.5 %) to x n = 0.175 at high drive ratio (6.4 %). The largest attained temperature difference was 67 ℃ at a drive ratio of 6.4 %, experimentally. Numerically, optimal operation was obtained at 3.3 δ k spacing, 0.7 blockage ratio, and 0.24 normalized stack length, with helium as the working fluid. Increasing the drive ratio reduced the COP at low temperature gradients, while it provided higher normalized cooling power. Maximum temperature drop of 124 °C below the ambient was achieved at a 5 % drive ratio. The increase of mean pressure hindered the TAR performance but offered a significantly higher power density. The findings highlight the importance of specific parameter configurations in maximizing TAR efficiency and cooling power, thereby advancing the potential of TARs as a near-zero global warming technology. This study aligns with the United Nations Sustainable Development Goals (SDGs) by promoting greener and cleaner cooling technologies.

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Publication Details

Journal
Applied Thermal Engineering
Published
2024-12-25
DOI
https://doi.org/10.1016/j.applthermaleng.2024.125302
Citations
3
Primary Topic
Advanced Thermodynamic Systems and Engines
Type
article
Field-Weighted Citation Impact
0.64

Funders

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article

Towards greener cooling: A comprehensive study on the experimental validation and parametric optimization of a thermoacoustic refrigerator

Ussama Ali, Omar Ahmed Al-Mufti, Isam Janajreh
3 citations
Applied Thermal Engineering
Advanced Thermodynamic Systems and Engines
0.64
article

Towards greener cooling: A comprehensive study on the experimental validation and parametric optimization of a thermoacoustic refrigerator

Ussama Ali, Omar Ahmed Al-Mufti, Isam Janajreh
article en
3 citations

Abstract

• Experimentally validated computational method for thermoacoustic simulation. • Achieved temperature drop of 124 °C below ambient at a 5 % drive ratio. • Highest coefficient of performance of 1.55 at 5 °C gradient and 1.5 % drive ratio. • Helium found as the best working fluid for optimal thermoacoustic cooling. • Optimal TAR parameters: 3.3 δ k spacing, 0.7 blockage ratio, and 0.24 stack length. Thermoacoustic refrigerators (TARs) offer a promising solution for sustainable cooling by leveraging acoustic energy to remove heat. This study presents a comprehensive analysis of standing wave TARs, focusing on both experimental validation and parametric optimization to enhance their performance. The experimental setup includes a detailed examination of the effects of stack position, frequency, and drive ratio on the system’s temperature gradient and pressure amplitude. Complementary high-fidelity numerical simulations were developed, integrating global and local computational domains to accurately replicate the thermoacoustic phenomena observed experimentally. The validated model, demonstrating less than 5 % relative error, is then employed to perform a parametric sensitivity analysis, exploring optimal geometric and operational parameters such as stack length, spacing, blockage ratio, working fluid, and drive ratio. The results showed that the optimal frequency decreases as the stack was placed away from the closed end (pressure antinode). The optimal normalized stack position ( x n ) shifted from x n = 0.33 at low drive ratio (1.5 %) to x n = 0.175 at high drive ratio (6.4 %). The largest attained temperature difference was 67 ℃ at a drive ratio of 6.4 %, experimentally. Numerically, optimal operation was obtained at 3.3 δ k spacing, 0.7 blockage ratio, and 0.24 normalized stack length, with helium as the working fluid. Increasing the drive ratio reduced the COP at low temperature gradients, while it provided higher normalized cooling power. Maximum temperature drop of 124 °C below the ambient was achieved at a 5 % drive ratio. The increase of mean pressure hindered the TAR performance but offered a significantly higher power density. The findings highlight the importance of specific parameter configurations in maximizing TAR efficiency and cooling power, thereby advancing the potential of TARs as a near-zero global warming technology. This study aligns with the United Nations Sustainable Development Goals (SDGs) by promoting greener and cleaner cooling technologies.

Applied Thermal EngineeringVol. 263
Khalifa University of Science and Technology (AE)
Khalifa University of Science, Technology and Research
Openalex Percentile: Top 34%
Advanced Thermodynamic Systems and Engines
0.64
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