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The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids

Open access
Huber, Marcia L., Lemmon, Eric W., Bell, Ian H., McLinden, Mark O.·2022·Industrial & Engineering Chemistry Research

Abstract

The NIST REFPROP software program is a powerful tool for calculating thermophysical properties of industrially important fluids, and this manuscript describes the models implemented in, and features of, this software. REFPROP implements the most accurate models available for selected pure fluids and their mixtures that are valid over the entire fluid range including gas, liquid, and supercritical states, with the goal of uncertainties approaching the level of the underlying experimental data. The equations of state for thermodynamic properties are primarily of the Helmholtz energy form; a variety of models are implemented for the transport properties. We document the models for the 147 fluids included in the current version. A graphical user interface generates tables and provides extensive plotting capabilities. Properties can also be accessed through third-party apps or user-written code via the core property subroutines compiled into a shared library. REFPROP disseminates international standards in both the natural gas and refrigeration industries, as well as standards for water/steam.

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Metadata

Authors
Huber, M. L., Lemmon, E. W., Bell, I. H., & McLinden, M. O.
Venue
Industrial & Engineering Chemistry Research
Published
2022-06-22
Volume
61
Issue
42
Pages
15449-15472
ISSN
  • 0888-5885 (ISSN-L)
  • 1520-5045
OpenAlex
W4283262266
Cited by
398
References
100
FWCI
18.28
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids. https://app.cochat.ai/papers/10.1021/acs.iecr.2c01427
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Huber, M. L., Lemmon, E. W., Bell, I. H., & McLinden, M. O. (2022). The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.2c01427

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