Experimental validation and development of an advanced computational model of a transcritical carbon dioxide vapour compression cycle with a thermoelectric subcooling system

被引:3
作者
Casi, Alvaro [1 ]
Aranguren, Patricia [1 ]
Sanchez, Daniel [2 ]
Araiz, Miguel [1 ]
Cabello, Ramon [2 ]
Astrain, David [1 ]
机构
[1] Univ Publ Navarra, Inst Smart Cities, Dept Engn, Campus Arrosadia S-N, E-31006 Pamplona, Spain
[2] Jaume I Univ, Dept Mech Engn & Construct, Campus Riu Sec S-N, E-12071 Castellon de La Plana, Spain
关键词
Carbon dioxide; Thermoelectric subcooling; Computational model; Experimental validation; CO2 REFRIGERATION CYCLE; PERFORMANCE OPTIMIZATION; THERMODYNAMIC ANALYSIS; EXERGY; ENERGY; PLANT;
D O I
10.1016/j.applthermaleng.2022.118045
中图分类号
O414.1 [热力学];
学科分类号
摘要
The inclusion of a thermoelectric subcooler as an alternative to increment the performance of a vapour compression cycle has been proved promising when properly designed and operated for low-medium power units. In this work, a computational model that simulates the behaviour of a carbon dioxide transcritical vapour compression cycle in conjunction with a thermoelectric subcooler system is presented. The computational tool is coded in Matlab and uses Refprop V9.1 to calculate the properties of the refrigerant at each point of the refrigeration cycle. Working conditions, effect of the heat exchangers of the subcooling system, temperature dependent thermoelectric properties, thermal contact resistances and the four thermoelectric effects are taken into account to increment its accuracy. The model has been validated using experimental data to prove the reliability and accuracy of the results obtained and shows deviations between the & PLUSMN;7% for the most relevant outputs. Using the validated computational tool a 13.6 % COP improvement is predicted when optimizing the total number of thermoelectric modules of the subcooling system. The computational experimentally validated tool is properly fit to aid in the design and operation of thermoelectric subcooling systems, being able to predict the optimal configuration and operation settings for the whole refrigeration plant.
引用
收藏
页数:12
相关论文
共 34 条
[1]  
Araiz M., 2018, BRINGING THERMOELECT, DOI [10.5772/ intechopen.71354, DOI 10.5772/INTECHOPEN.71354]
[2]   Experimental assessment of a thermoelectric subcooler included in a transcritical CO2 refrigeration plant [J].
Aranguren, P. ;
Sanchez, D. ;
Casi, A. ;
Cabello, R. ;
Astrain, D. .
APPLIED THERMAL ENGINEERING, 2021, 190
[3]   Auxiliary consumption: A necessary energy that affects thermoelectric generation [J].
Aranguren, P. ;
Araiz, M. ;
Astrain, D. .
APPLIED THERMAL ENGINEERING, 2018, 141 :990-999
[4]   Thermoelectric generators for waste heat harvesting: A computational and experimental approach [J].
Aranguren, P. ;
Araiz, M. ;
Astrain, D. ;
Martinez, A. .
ENERGY CONVERSION AND MANAGEMENT, 2017, 148 :680-691
[5]   A comparative study of different heat exchange systems in a thermoelectric refrigerator and their influence on the efficiency [J].
Astrain, D. ;
Aranguren, P. ;
Martinez, A. ;
Rodriguez, A. ;
Perez, M. G. .
APPLIED THERMAL ENGINEERING, 2016, 103 :1289-1298
[6]   Advanced exergy analyses of an ejector expansion transcritical CO2 refrigeration system [J].
Bai, Tao ;
Yu, Jianlin ;
Yan, Gang .
ENERGY CONVERSION AND MANAGEMENT, 2016, 126 :850-861
[7]   Computational study of geothermal thermoelectric generators with phase change heat exchangers [J].
Catalan, Leyre ;
Araiz, Miguel ;
Aranguren, Patricia ;
Astrain, David .
ENERGY CONVERSION AND MANAGEMENT, 2020, 221
[8]   Improvements in CO2 Booster Architectures with Different Economizer Arrangements [J].
Catalan-Gil, J. ;
Nebot-Andres, L. ;
Sanchez, D. ;
Llopis, R. ;
Cabello, R. ;
Calleja-Anta, D. .
ENERGIES, 2020, 13 (05)
[9]  
Chapman A.J., 1984, HEAT TRANSF, Vfourth
[10]   Evaluation of transcritical CO2 heat pump system integrated with mechanical subcooling by utilizing energy, exergy and economic methodologies for residential heating [J].
Dai, Baomin ;
Qi, Haifeng ;
Liu, Shengchun ;
Ma, Muyu ;
Zhong, Zhifeng ;
Li, Hailong ;
Song, Mengjie ;
Sun, Zhili .
ENERGY CONVERSION AND MANAGEMENT, 2019, 192 :202-220