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Search Publications by

Ian Bell (Fed)

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Displaying 1 - 25 of 45

Low-GWP Alternative Refrigerant Blends for HFC-134a: Interim Report

October 13, 2021
Piotr A. Domanski, Mark O. McLinden, Valeri I. Babushok, Ian Bell, Tara Fortin, Michael Hegetschweiler, Mark A. Kedzierski, Dennis Kim, Lingnan Lin, Gregory T. Linteris, Stephanie L. Outcalt, Richard A. Perkins, Aaron Rowane, Harrison Skye
This project addresses the objectives of the Statement of Need number WPSON-17-20 "No/Low Global Warming Potential Alternatives to Ozone Depleting Refrigerants." Its goal is to identify and demonstrate performance of low global-warming-potential (GWP), non

Unphysical critical curves of binary mixtures predicted with GERG models

October 19, 2020
Ian H. Bell, Ulrich K. Deiters
When applied to asymmetric binary mixtures (e.g., methane + pentane or heavier alkanes, hydrogen-containing mixtures), the GERG equation of state (GERG-2004 or GERG-2008) predicts critical curves with physically unreasonable temperature maxima above the

Quasiuniversal Excess Entropy Scaling in Binary Supercooled Liquids

August 27, 2020
Ian H. Bell, Jeppe Dyre, Trond Ingebrigtsen
Transport coefficients, such as viscosity or diffusion coefficient, show significant dependence on density or temperature near the glass transition. Although several theories have been proposed for explaining this dynamical slowdown, the origin remains to

The Status of Thermodynamic Data and Models for CF3I and its Mixtures

July 24, 2020
Ian H. Bell, Mark O. McLinden
There is a renewed interest in the use of the refrigerant CF3I for refrigeration and air conditioning applications, driven by its low global warming potential (equivalent to CO2), and very low (but nonzero) ozone depletion potential. In this paper we will

Entropy Scaling of Viscosity – I: A Case Study of Propane

May 12, 2020
Ian H. Bell
In this work a broadly-applicable and simple approach for developing high accuracy viscosity correlations yielding uncertainties approximately equal to the uncertainties of the underlying data is presented. The approach is based on the combination of a

An Entropy Scaling Demarcation of Gas- and Liquid-like Fluid Behaviors

April 1, 2020
Ian H. Bell, Guillaume Galliero, Stephanie Delage-Santacreu, Lorenzo Costigliola
In this work we propose a generic and simple definition of a line separating gas-like and liquid-like fluid behaviors in the supercritical region. We argue that this line is defined by the location of the minimum of the macroscopically scaled viscosity

A Benchmark Open-Source Implementation of COSMO-SAC

February 14, 2020
Ian H. Bell, Erik Mickoleit, Chieh-Ming Hsieh, Shiang-Tai Lin, Jadran Vrabec, Cornelia Breitkopf, Andreas J?ger
The COSMO-SAC modeling approach has found wide application in a range of industries due to its good predictive capabilities. While UNIFAC is in general more accurate than COSMO-SAC, the UNIFAC model contains many adjustable parameters and cannot be used if

Covariance-based uncertainty analysis of reference equations of state

January 6, 2020
Howard Cheung, Jerome Frutiger, Ian Bell, Jens Abildskov, Gurkan Sin, Shengwei Wang
This work presents a detailed methodology for uncertainty analysis applied to a reference equation of state (EOS) based on Helmholtz energy. With increasing interest in uncertainties of thermal process models, it is important to quantify the property

Options for Low-GWP Refrigerants

November 6, 2019
Mark O. McLinden, Andrei F. Kazakov, J S. Brown, Riccardo Brignoli, Ian H. Bell, Piotr A. Domanski
We summarize a systematic examination of possible low-GWP (global warming potential) replacements for the HFC (hydrofluorocarbon) refrigerants currently used in small air-conditioning systems. The methodology identified the optimal thermodynamic parameters

The hunt for refrigerant blends to replace R-134a

August 1, 2019
Ian H. Bell, Piotr A. Domanski, Gregory T. Linteris, Mark O. McLinden
We investigated refrigerant blends as possible low GWP (global warming potential) alternatives for R-134a in an air-conditioning application. We carried out an extensive screening of the binary, ternary, and four-component blends possible among a list of

Modified Entropy Scaling of the Transport Properties of the Lennard-Jones Fluid

June 26, 2019
Ian H. Bell, Richard A. Messerly, Monika Thol, Lorenzo Costigliola, Jeppe Dyre
Separated by twenty-two years, Rosenfeld proposed two different scaling approaches to model the transport properties of fluids, one valid in the dilute gas, and another in the liquid phase. In this work, we demonstrate that these two limiting cases can be

Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

April 29, 2019
Ian H. Bell, Jonathan Welliquet, Maria Mondejar, Sylvain Quoilin, Ala Bazyleva, Frederik Haglind
The search of new refrigerants complying with the most recent environmental regulations must be supported by the availability of simple and reliable models for the prediction of their thermophysical behavior, both as pure substances and as mixtures. Cubic

CEGO: C++11 Evolutionary Global Optimization

April 23, 2019
Ian H. Bell
Global optimization is an algorithmic need that is ubiquitous throughout the natural sciences, engineering, and other technical spheres. It is a non-trivial task, particularly when the function to be optimized has many local minima and the optimization

Low-GWP Alternative Refrigerant Blends for HFC-134a

September 7, 2018
Piotr A. Domanski, Mark O. McLinden, Ian H. Bell, Gregory T. Linteris
The goal of this study was to identify non-flammable, non-toxic, low global-warming-potential (GWP) replacements for HFC-134a in an air-conditioning system that would maintain the energy efficiency and capacity. A prior exhaustive work demonstrated that

Bubble-Point Measurements and Modeling of Binary Mixtures of Linear Siloxanes

August 20, 2018
Luuc Keulen, Elisabeth Mansfield, Ian Bell, Andrea Spinelli, A. Guardone
The bubble-point pressures of three binary mixtures of linear siloxanes have been mea4 sured. The binary mixtures consist of hexamethyldisiloxane (MM) which is mixed with ei5 ther octamethyltrisiloxane (MDM), decamethyltetrasiloxane (MD2M), and

A theoretically based departure function for multi-fluid mixture models

August 15, 2018
Ian H. Bell, Andreas Jaeger, Cornelia Breitkopf
Multi-fluid models for highly accurate multiparameter equations of state have been applied very successfully in the past years in order to accurately model thermophysical properties of mixtures. However, the predictive capabilities of this type of mixture