Advanced Process Modelling workshop

19 - 20 May 2008: Engineering Building, Education City, Doha

Advanced process modelling (APM) is increasingly used by refining, chemical and petrochemical companies in order to provide a quantitative basis for important design and operational decisions.

Process Systems Enterprise’s gPROMS modelling and optimisation software is the world’s leading APM environment. gPROMS combines first-principles modelling, parameter estimation and flowsheeting to provide a tool that spans laboratory-to-operations modelling.

Programme

TAMUQ and PSE are co-hosting a two-day hands-on workshop covering the key elements of Advanced Process Modelling. Attendees will learn how to:

build lumped and distributed process models of arbitrary complexity
estimate model parameters from experimental data and assess the accuracy of estimates
if necessary, use the models to design further experiments in order to improve the parameter accuracy
use the validated models for steady-state and dynamic process optimisation.

The workshop Instructor will be Dr Apostolos Giovanoglou, PSE Consultant and manager of PSE Academic division.

Day 1: An introduction to Advanced Process Modelling

08:30 – 08:50	Registration and coffee
	Introduction & welcome – overview of PSE
Session 1	An overview of gPROMS ModelBuilder Flowsheeting in gPROMS and the Process Model Libraries (PML) General features of the gPROMS modelling environment Hands on session: running gPROMS for the first time
10:15 – 10:30	Coffee break
Session 2	Development of lumped models An introduction to the gPROMS modelling language Hands-on session: modeling and simulation of a cooled CSTR reactor
12:15 – 13:00	Lunch break
Session 3	Development of distributed models Hands-on session: modelling and simulation of a tubular reactor
15:00 – 15:15	Coffee break
Session 4	Development of model libraries Introduction Defining a model’s public interface Hands-on session: developing a cooled CSTR reactor library model and using it within a reaction process flowsheet
17:00	End of day 1

Day 2: Optimisation, Model Validation and Experiment Design

08:30	Start
Session 5	Dynamic optimisation An introduction to the mathematics of dynamic optimisation Specifying and solving dynamic optimisation problems in gPROMS Hands-on session: deriving an optimal strategy for operation of a semi-batch reactor
10:30 – 10:45	Coffee break
Session 6	Advanced dynamic optimisation Some advanced features related to dynamic optimisation: optimising initial conditions and variable bounds Hands-on session: further batch reactor optimisation
12:15 – 13:00	Lunch break
Session 7	Parameter estimation The maximum likelihood formulation for parameter estimation Specifying and solving parameter estimation problems Hands-on session: estimating the parameters of a kinetic reaction scheme
14:00 – 14:15	Coffee break
Session 8	Experiment design Model-based experiment design Specifying and solving experiment design problems Demo session: designing experiments for a fed-batch fermentation
	Discussion
17:00	End of day 2

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