Effective training without leaving your desk
The PSE Technical Webinar Series allows you to participate in high quality, focused training sessions with minimal expense and a low time commitment. Technical Webinars are prepared and presented by experienced PSE Applications Engineers, the same ones who teach our on-site courses and provide customers with ongoing technical support. Each session covers a key element of the gPROMS platform in a depth appropriate to the 60-minute session duration.
Technical Webinars are open only to users at current customers. Please log into your myPSE account using the "Sign in / Register" link in the top right of the page.
Model Development I - Lumped Models
Learn to develop lumped models from scratch. Derive model equations for small and large models, do well-posedness checks and implement your equations. The webinar will also cover model verification and determining the right level of detail for your model.
Model Development II - Distributed Models
Learn to develop distributed models. Derive distributed equations and choose the right number and type of boundary conditions. Select the method, order and number of discretization points. The webinar will also briefly discuss how the problem is solved and what type of problems may arise.
We will explore how Initialisation Procedures work and how to develop your own. The webinar will emphasise the different ways to initialise a problem and debugging.
Debugging your Models
We will explore techniques to help debug simulations based on an understanding of the numerical solution process. The webinar will demonstrate multiple techniques to help isolate and solve the problem.
Parameter Estimation I
The first in a two-part series will focus on the workflow and data used for parameter estimation. We will discuss data analysis, data preparation for parameter estimation, observability and estimatability.
Parameter Estimation II
Part two will focus on problem set-up, running the parameter estimation problem, analyzing the results and improving your estimates. We will explore the parameter estimation reports and how to use them to improve results.
Optimisation - NLP
Set-up a proper optimisation problem. We will discuss how to set-up different types of constraints and how to find valuable information within the model report. The webinar will explore optimisation techniques and resolving problems.
Optimisation - MINLP
Set-up a MINLP optimisation problem. We will demonstrate what kind of MINLP problems gPROMS is best suited to solve. The webinar will also discuss general debugging of optimisation problems.
Numerical Solutions I
A behind the scenes look at the solution process. We will discuss the numerical solution process first broadly and then dive into different parts of the solution process, non-linear, linear and integration solvers. We will discuss what errors happen at what stage in the process. We will also discuss the most relevant solution parameters in case you need to tune the numerical solver.
Numerical Solutions II
In the second Technical Webinar on Numerical Solutions, we focus on robustness and speed. First we will explain what causes ill-conditioning and what are the most effective ways to improve the conditioning through different ways of scaling. We will discuss the difference between sequential and simultaneous solvers. We will also discuss some elements of model analysis to aid in debugging numerical issues. Finally we will look at ways to increase the speed of simulation.
Library Development I
Learn to develop your own libraries of custom models. We will show how to build dialogue boxes and model reports and discuss the choices that must be made to develop a custom library. The webinar will also demonstrate different ways to deploy your models.
Global System Analysis
Global System Analysis (GSA) allows the comprehensive exploration of the behaviour of a system over domains of any user-selected subset of its input variables ('factors'), and output variables ('responses'). The feature allows you to do parametric sensitivity, uncertainty and scenario studies.