Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems |
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| Affiliation: | 1. Lab for Measurement Technology, Department of Mechatronics Engineering, Saarland University, Campus A 5.1, 66123 Saarbrücken, Germany;2. Multifunctional Materials Systems Lab, Department of Mechatronics Engineering, Saarland University, P. O. Box 151150, 66041 Saarbrücken, Germany;1. Karlsruhe Institute of Technology, IMT, PO Box 3640, 76021 Karlsruhe, Germany;2. Christian Albrecht University Kiel, Institute for Material Science, 24143 Kiel, Germany;1. Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia;2. Institute of Metals and Technology, Lepi Pot 11, 1000 Ljubljana, Slovenia;3. Department of Energy Conversion and Storage, Technical University of Denmark, Frederigsborgvej 399, 4000 Roskilde, Denmark;4. SAES Getters S.p.A., Viale Italia 77, 20020 Lainate, Milan, Italy |
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| Abstract: | To avoid global warming potential gases emission from vapor compression air-conditioners and water chillers, alternative cooling technologies have recently garnered more and more attentions. Thermoelastic cooling is among one of the alternative candidates, and have demonstrated promising performance improvement potential on the material level. However, a thermoelastic cooling system integrated with heat transfer fluid loops have not been studied yet. This paper intends to bridge such a gap by introducing the single-stage cycle design options at the beginning. An analytical coefficient of performance (COP) equation was then derived for one of the options using reverse Brayton cycle design. The equation provides physical insights on how the system performance behaves under different conditions. The performance of the same thermoelastic cooling cycle using NiTi alloy was then evaluated based on a dynamic model developed in this study. It was found that the system COP was 1.7 for a baseline case considering both driving motor and parasitic pump power consumptions, while COP ranged from 5.2 to 7.7 when estimated with future improvements. |
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| Keywords: | Shape memory alloy Elastocaloric Efficiency Nitinol Solid-state cooling Alliage à mémoire de forme Elastocalorique Efficacité Nitinol Refroidissement à l'état solide |
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