Page 52 - Design of Simple and Robust Process Plants

36 Chapter 3 Design Philosophies
3.2
Modeling

Modeling is the heart of the quantitative understanding of processes, and this is
reflected in the vision of the European Chemical industry, (CEFIC) (http://www.
cefic.be under CAPRI (Competitive Advantage through Process Information Tech-
nology)), which is rephrased as follows:
. Process plants have models for design and operation to embody knowledge
and understanding of the process and products, and to appreciate its under-
lying phenomena and behavior.
. The modeling environment and the models should be easy to program,
robust, and with an open architecture to permit the exchange of data between
models. The modeling environment (including its model library) must have
direct access to a consistent set of supporting facilities such as: property data
banks, economic evaluations and estimation sections, optimization routines,
expert systems as adviser, external programs, and on-line data exchange to
operation.
. The models should be organized as an integrated set of life cycle process
models (Figure 3.1). They should facilitate the modeling from chemistry phe-
nomena through unit models to process models, to be utilized for simula-
tion, design optimization, control design, operational studies, and operation
optimization, as well as business models. Product properties should be mod-
eled up to and including end-product usage.
. The models should be able to run on readily available, standardized comput-
ing systems.

Models of process Models for design
units optimization

Models for control and
Models of chemistry, operation optimization
and phenomena
Process

Models for Models for business
product design optimization

Fig. 3.1. Integrated set of life cycle process models.