Modelling, simulation and design of chemical processes need accurate and re
liable estimation of the properties of the mixtures present in the process.
In these situations, the property models are in a 'service' role where the
y supply the needed properties only when requested. Due to the solution pro
cedures employed in simulation and design, the property models are required
to have well-behaved and continuous derivatives for these problems to conv
erge a solution. Furthermore, in process optimisation, the second and third
order derivatives of the property models must exist for solution approache
s based on mathematical programming. This paper describes the development o
f a computer aided system for the systematic derivation of appropriate prop
erty models to be used in the service role for a specified problem. As a fi
rst step, a library of well-known property models ha's been developed and a
feature for parameter estimation has been added, so that for any selected
model, the necessary model parameters can be estimated, fine-tuned and/or c
onverted from one model to another model. Also, the property derivatives ar
e validated and verified for thermodynamic and mathematical consistency. (C
) 2001 Elsevier Science B.V. All rights reserved.