First principles predictions of thermophysical properties
of refrigerant mixtures

QR Code

First principles predictions of thermophysical properties of refrigerant mixtures

We present pair potentials for fluorinated methanes and their dimers with CO2 based on ab initio potential energy surfaces. These potentials reproduce the experimental second virial coefficients of the pure fluorinated methanes and their mixtures with CO2 without adjustment. Ab initio calculations o...

Full description

Bibliographic Details
Main Authors:	Oakley, Mark T., Hainam, Do, Hirst, J.D., Wheatley, Richard J.
Format:	Article
Published:	American Institute of Physics 2011
Online Access:	https://eprints.nottingham.ac.uk/30517/

Similar Items

A Review on nanolubricant for refrigeration systems: Stability, thermophysical properties, and performance characteristics
by: Prayogo, Galang Sandy, et al.
Published: (2024)

Measurement and Prediction of Fuel Oxygenates Mixtures Excess Thermophysical Properties - A Review
by: T. K., Thanusha, et al.
Published: (2015)

Experimental measurements and prediction of thermophysical properties of hydrocarbon mixtures using nonlinear models
by: Redrouthu, Ramesh
Published: (2016)

FDCCS16 molecular simulation of the thermophysical properties and phase behaviour of impure CO2 relevant to CCS
by: Cresswell, Alexander J., et al.
Published: (2016)

Energy and thermodynamic performance of refrigerator using pure hydrocarbon and mixture of hydrocarbons as refrigerants
by: Sattar, M.A., et al.
Published: (2007)

Predicting β-turns and their types using predicted backbone dihedral angles and secondary structures
by: Kountouris, Peter, et al.
Published: (2010)

Quantitative first principles calculations of protein circular dichroism in the near-ultraviolet
by: Li, Zhuo, et al.
Published: (2017)

Predictive modelling of nanofluids thermophysical properties using machine learning
by: Olanrewaju, Alade Ibrahim
Published: (2021)

Experimental measurement and prediction of thermophysical properties of methyl tert-butyl ether (MTBE) with methanol, diisopropyl ether (DIPE) and N-methylaniline binary mixtures
by: Ali, Mohammed Rashid
Published: (2019)

Non-CFC refrigerants: first and second law efficienies
by: Sia, Chee Kiong
Published: (2002)

Thermophysical properties of hydroxyl ammonium ionic liquids
by: T., Murugesan, et al.
Published: (2009)

Thermophysical Properties of trihexyltetradecylphosphonium dioctylsulfosuccinate ionic liquid
by: C.D., Wilfred, et al.
Published: (2010)

Calculation of high-order virial coefficients for the square-well potential
by: Do, Hainam, et al.
Published: (2016)

First-principles investigation of elastic and thermodynamic properties of SiCN under pressure
by: Jia, J., et al.
Published: (2014)

Prediction and Optimization of Thermophysical Properties of Hybrid Cellulose Nanocrystal-Copper (II) Oxide Nanolubricant for Tribology Application
by: Sakinah, Hisham, et al.
Published: (2023)

Thermophysical properties of hydroxyl ammonium ionic liquids
by: Kurnia, Kiki, et al.
Published: (2009)

Thermophysical properties of hydroxyl ammonium ionic liquids
by: Kurnia, Kiki, et al.
Published: (2008)

Hybrid CNC–MXene nanolubricant for tribological application: Characterization, prediction, and optimization of thermophysical properties evaluation
by: Sakinah, Muhamad Hisham, et al.
Published: (2024)

Hydrocarbons as alternative refrigerants in domestic refrigerators
by: S, Parashurama, et al.
Published: (2019)

Experimental and Numerical Investigation on Thermophysical Properties of Hydrocarbon Liquid Mixtures using Krishnan-Laddha and Jouyban-Acree Models at Various Temperatures
by: R., Ramesh, et al.
Published: (2016)

Force fields for macromolecular assemblies containing Diketopyrrolopyrrole and Thiophene
by: Jiang, Ling, et al.
Published: (2020)

Thermophysical Properties Measurement of Nano Cellulose in Ethylene Glycol/Water
by: Ramachandran, Kaaliarasan, et al.
Published: (2017)

Power consumption of dosmetic refrigerator using nanoparticles Al2O3 lubricant mixture
by: Tey, Fanny Pei Boon
Published: (2013)

Prediction of the thermophysical properties of papaya seed oil influencing solvent selection based on the new group contribution model
by: Alhanif, Misbahudin, et al.
Published: (2023)

Smart refrigerator
by: Ng, Zhen Hong
Published: (2024)

Thermodynamic properties of hydrofluoroolefin (R1234yf and R1234ze(E)) refrigerant mixtures: Density, vapour-liquid equilibrium, and heat capacity data and modelling
by: Al Ghafri, S.Z., et al.
Published: (2019)

Viscosity of binary refrigerant mixtures of R32 + R1234yf and R32 + R1243zf
by: Yang, X., et al.
Published: (2021)

Exploring protein structural dissimilarity to facilitate structure classification
by: Jain, Pooja, et al.
Published: (2009)

Thermophysical properties of methanol based nanofluids / Mohd. Mostafizur Rahman
by: Mohd. Mostafizur, Rahman
Published: (2015)

Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion
by: De Simon, Lia, et al.
Published: (2018)

A Review of Thermophysical Properties of Water Based Composite Nanofluids
by: Suleiman, Akilu, et al.
Published: (2016)

Thermophysical properties of pink guava juice at 9 and 11°Brix
by: Zainal, B.S., et al.
Published: (2001)

Theoretical and experimental evaluation of LPG as refrigerant for domestic refrigerators and freezers
by: El-Awad, M.M., et al.
Published: (2011)

Performance modelling of refrigerants in a vapor compression refrigeration cycle
by: Basharie, Siti Mariam
Published: (2005)

Properties of homo- and hetero-Schottky junctions from first principle calculations
by: Greer, James C., et al.
Published: (2018)

A first principles study of the mechanical properties of Li-Sn alloys
by: Zhang, P., et al.
Published: (2015)

First-Principles Study Of Structural And Response Properties Of Barium Titanate Phases
by: Goh, Eong Sheng
Published: (2017)

First-Principles Calculations On Solgel Zinc Oxide Nanoparticles Optoelectronic Properties
by: Harun, Kausar
Published: (2018)

Molecular dynamics simulations using graphics processing units
by: Baker, J.A., et al.
Published: (2011)

Accelerating electrostatic pair methods on graphical processing units to study molecules in supercritical carbon dioxide
by: Baker, J.A., et al.
Published: (2014)