(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-9 Issue-95 October-2022
Full-Text PDF
Paper Title : Modelling of viscosity equation for liquid-phase HCFO-1233zd(E)
Author Name : Donny Agvie Putratama and I Made Astina
Abstract :

Refrigerant is one source of greenhouse gas emissions affecting global warming. New eco-friendly refrigerants are needed to replace old-generation refrigerants. Trans-1-Chloro-3,3,3-trifluoropropene (HCFO-1233zd(E)) is an attractive refrigerant due to its low global warming and ozone depletion potential. It’s thermophysical properties play an essential role in analyzing thermal and process systems. The viscosity can be derived using experiments or by using calculations. This research developed and evaluated an extended-corresponding state (ECS) and excess-entropy scaling (EES) models. The development of both models refers to the available viscosity experimental data. Symbolic regression is used in developing the EES model, whereas weighted regression is for the ECS model. Both models were evaluated and compared to each other to reveal their accuracy by comparing the available experimental data. The average absolute deviation of the developed ECS and EES models are 1.59% and 1.86%, respectively. By assessing the extrapolation behavior, both models can predict the viscosity of HCFO-1233zd(E) in the liquid phase from the triple point up to a temperature of 500 K and a pressure of 50 MPa.

Keywords : HCFO refrigerants, HCFO-1233zd(E), Viscosity, Extended-corresponding state, Excess-entropy scaling.
Cite this article : Putratama DA, Astina IM. Modelling of viscosity equation for liquid-phase HCFO-1233zd(E). International Journal of Advanced Technology and Engineering Exploration. 2022; 9(95):1539-1551. DOI:10.19101/IJATEE.2021.876215.
References :
[1]Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, et al. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge, 2007.
[Google Scholar]
[2]Ziviani D, Dickes R, Quoilin S, Lemort V, De PM, Van DBM. Organic rankine cycle modelling and the ORCmKit library: analysis of R1234ze (Z) as drop-in replacement of R245fa for low-grade waste heat recovery. In the 29th international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems 2016 (pp. 1-13).
[Google Scholar]
[3]Tsvetkov OB, Laptev YA, Sharkov AV, Mitropov VV, Fedorov AV. Alternative refrigerants with low global warming potential for refrigeration and air-conditioning industries. In IOP conference series: materials science and engineering 2020 (pp. 1-4). IOP Publishing.
[Crossref] [Google Scholar]
[4]https://www.ashrae.org/technical-resources/standards-and-guidelines/standards-addenda/ansi-ashrae-standard-34-2013-designation-and-safety-classification-of-refrigerants. Accessed 26 July 2022.
[5]Mondejar ME, McLinden MO, Lemmon EW. Thermodynamic properties of trans-1-chloro-3, 3, 3-trifluoropropene (R1233zd (E)): Vapor pressure,(p, ρ, T) behavior, and speed of sound measurements, and equation of state. Journal of Chemical & Engineering Data. 2015; 60(8):2477-89.
[Google Scholar]
[6]Orkin VL, Martynova LE, Kurylo MJ. Photochemical properties of trans-1-chloro-3, 3, 3-trifluoropropene (trans-CHCL=CHCF3): OH reaction rate constant, UV and IR absorption spectra, global warming potential, and ozone depletion potential. The Journal of Physical Chemistry A. 2014; 118(28):5263-71.
[Crossref] [Google Scholar]
[7]Hulse RJ, Basu RS, Singh RR, Thomas RH. Physical properties of HCFO-1233zd (E). Journal of Chemical & Engineering Data. 2012; 57(12):3581-6.
[Crossref] [Google Scholar]
[8]Yin J, Ke J, Zhao G, Ma S. Experimental vapor pressures and gaseous pvT properties of trans-1-Chloro-3, 3, 3-trifluoropropene (R1233zd (E)). International Journal of Refrigeration. 2021; 121:253-7.
[Crossref] [Google Scholar]
[9]Meng X, Wen C, Wu J. Measurement and correlation of the liquid viscosity of trans-1-chloro-3, 3, 3-trifluoropropene (R1233zd (E)). The Journal of Chemical Thermodynamics. 2018; 123:140-5.
[Crossref] [Google Scholar]
[10]Alam MJ. Measurements and prediction of transport properties of low GWP refrigerants. Saga University, Saga. 2018.
[Google Scholar]
[11]Cui J, Yan S, Bi S, Wu J. Saturated liquid dynamic viscosity and surface tension of trans-1-chloro-3, 3, 3-trifluoropropene and dodecafluoro-2-methylpentan-3-one. Journal of Chemical & Engineering Data. 2018; 63(3):751-6.
[Crossref] [Google Scholar]
[12]Zhao G, Yuan Z, Zhang X, Yin J, Ma S. Saturated liquid kinematic viscosity, surface tension and thermal diffusivity of two low-GWP refrigerants 3, 3, 3-trifluoropropene (R1243zf) and trans-1-chloro-3, 3, 3-trifluoro-1-propene (R1233zd (E)) by light scattering method. International Journal of Refrigeration. 2021; 127:194-202.
[Crossref] [Google Scholar]
[13]Budiarso G, Astina IM, Development of Helmholtz equation of state for thermodynamic properties of R-1233zd(E). International Journal of Scientific Research in Science and Technology. 2022; 9(3):765–76.
[14]Akasaka R, Lemmon EW. An international standard formulation for trans-1-Chloro-3, 3, 3-trifluoroprop-1-ene [R1233zd (E)] covering temperatures from the triple-point temperature to 450 K and pressures up to 100 MPa. Journal of Physical and Chemical Reference Data. 2022; 51(2).
[Google Scholar]
[15]Teraishi R, Kayukawa Y, Akasaka R, Saito K. Universal parameters of the extended corresponding states (ECS) model for hydrofluoroolefin refrigerants. International Journal of Refrigeration. 2021; 131:33-40.
[Crossref] [Google Scholar]
[16]Fouad WA, Vega LF. Transport properties of HFC and HFO based refrigerants using an excess entropy scaling approach. The Journal of Supercritical Fluids. 2018; 131:106-16.
[Crossref] [Google Scholar]
[17]Li X, Kang K, Gu Y, Wang X. Viscosity prediction of pure refrigerants applying the residual entropy scaling theory coupled with a “Generalized Chart” parametrization method for the statistical associating fluid theory. Journal of Molecular Liquids. 2022.
[Crossref] [Google Scholar]
[18]Holland JH. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press; 1992.
[Google Scholar]
[19]Algdamsi H, Alkouh A, Agnia A, Amtereg A, Alusta G. Integration of self organizing map with MLFF neural network to predict oil formation volume factor: north africa crude oil examples. In international petroleum technology conference 2020. OnePetro.
[Google Scholar]
[20]Chung TH, Ajlan M, Lee LL, Starling KE. Generalized multiparameter correlation for nonpolar and polar fluid transport properties. Industrial & Engineering Chemistry Research. 1988; 27(4):671-9.
[Crossref] [Google Scholar]
[21]Neufeld PD, Janzen AR, Aziz R. Empirical equations to calculate 16 of the transport collision integrals Ω (l, s) for the Lennard‐Jones (12–6) potential. The Journal of Chemical Physics. 1972; 57(3):1100-2.
[Crossref] [Google Scholar]
[22]Rainwater JC, Friend DG. Second viscosity and thermal-conductivity virial coefficients of gases: extension to low reduced temperature. Physical Review A. 1987; 36(8).
[Crossref] [Google Scholar]
[23]Vogel E, Kuechenmeister C, Bich E, Laesecke A. Reference correlation of the viscosity of propane. Journal of Physical and Chemical Reference Data. 1998; 27(5):947-70.
[Crossref] [Google Scholar]
[24]Assael MJ, Dymond JH, Patterson PM. Correlation and prediction of dense fluid transport coefficients. V. Aromatic hydrocarbons. International Journal of Thermophysics. 1992; 13(5):895-905.
[Crossref] [Google Scholar]
[25]Van RG, Drake FL. Python 3 reference manual. Scotts Valley, CA: CreateSpace; 2009.
[Google Scholar]