A
simulation attribute of utmost importance is its predictive
capability's reliability and precision (its fidelity). Conditions imposed to a
simulation correspond most of the time to an extrapolation from
current operating conditions, and this is a very touchy task to
complete. We are particularly
proficient in the development of high fidelity models.
A
textbook on process simulation including guidelines
and rules of thumb is available here.
In addition to the technical
aspect behind the model preparation itself, the collection of
large quantities of information on the process is mandatory. On
site data collection, measurements, inspections and
verifications require many weeks of work spent in the field.
Sufficient redondancy must be obtained to fit and cross-check
the computer model.
Application
example
A
detailed simulation of a pulp mill included the steam
generation. A 30 MW cogeneration steam turbine was in operation
and its characteristic curve had been programmed via a DDE link
with an Excel spreadsheet. It was then possible to optimize the
steam production for each pressure level in order to reduce the
total utility cost while maximizing the electricity production.
The new operating conditions found could save around 300 k$
CDN/yr for free.
