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4 - Thermophysical properties for design simulations

Published online by Cambridge University Press:  23 September 2009

Ronald P. Danner
Affiliation:
Pennsylvania State University
Calvin F. Spencer
Affiliation:
The M. W. Kellogg Company
Manoj Nagvekar
Affiliation:
The M. W. Kellogg Company
Robert F. Boehm
Affiliation:
University of Nevada, Las Vegas
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Summary

Introduction

The keystone of the design of a thermal system or any other chemical process is the process simulation program. Quoting Cox (1993), “All correlations, theories, and physical property data must be translated into computer terms before they truly become useful for chemical process design applications. Data banks and associated physical property models form the heart of any computer simulator calculation.” The quality of these data modules can have extensive effects. Inaccurate data may lead to costly errors in judgment whether it is to proceed with a new process or modification or not to go ahead. Inadequate or unavailable data may cause a potentially attractive and profitable process to be delayed or rejected because of the difficulty or impossibility of properly simulating it. Even the most sophisticated software will not lead to a cost-effective solution if it is not backed up by an accurate database. The ability to effectively conserve energy in many processes is related directly to the accuracy of the physical and thermodynamic data available.

A number of projects, frequently funded by consortia of companies and government agencies, exist for the collection and evaluation of data concerning particular areas of interest: chemical processing, electric and gas production and distribution, biology, medicine, geology, meteorology, music, demographics, etc. This chapter will address the phase equilibrium, thermodynamic data, and physical properties generally required in the design of thermal and chemical processing systems.

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Publisher: Cambridge University Press
Print publication year: 1997

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