Process Modelling & Dynamics
University of Queensland
Area of Study
Taught In English
CHEE3002 + CHEE3003
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Host University Units2
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
Students completing a dual-major in Chemical and Environmental Engineering must complete either CIVL3150 or CHEE3007. Note that CHEE2501 is a recommended pre-requisite for CIVL3150. Only students enrolled in the Chemical / Environmental Engineering dual major are eligible for CIVL3150, students from all other Chemical Engineering plans must complete CHEE3007.
Mathematical process modelling for design, control & optimisation of process systems. Conservation principles, development of constitutive equations in models & analysis of resultant models for use in control & diagnosis of process faults. Model verification, calibration & validation based on process data is emphasised.
We live in a "model-centric" engineering world where modelling is regarded as a basic tool for decision making across the whole product and process life cycle. This underscores the importance of this course since everyone will use models or the outputs of models for their decision making. This covers financial, engineering, risk, human factors and related modelling application areas. Hence the need to understand what types of models exist, their construction and documentation and finally how they are used to support all the process life cycle activities.
After successfully completing this course you should be able to:
1. UNDERSTAND THE ROLE AND USE OF SYSTEM MODELS
1.1 Concepts of modelling and the use of models in the product/process life cycle: Understand why modelling is done in industry and consultancy and where it is applied across the life cycle. Appreciate what models allow you to do in terms of decision making.
1.2 Have the ability to observe particular engineered or natural systems for their dynamic behaviour and relate this to underlying physics and chemistry.
1.3 Understand how to evaluate dynamic behaviour to prevent critical system failure. This prevents environmental, social, and safety violations.
2. MODEL DEVELOPMENT STRATEGY AND FRAMEWORK
2.1 Understand and apply a systematic model development framework applied to a range of relevant problems.
2.2 Development of relevant phenomenological models through the application of basic pyhsics and chemistry.
2.3 Apply varying degrees of model complexity for different objectives.
2.4 Develop an empirical model from input-output plant data time series and apply the model to an application area.
3. ANALYSIS AND SOLUTION TECHNIQUES
3.1 An understanding of the structural characteristics of models and the implications on solution approaches.
3.2 The ability to translate model descriptions into executable programs for efficient solution using MATLAB.
3.3 The ability to critically analyse written code, debug it and obtain dynamic trend predictions.
3.4 Understand the concepts of model verification, calibration and validation and perform these tasks of a moderately complex system.
4. APPLICATION AND ANALYSIS OF A MODEL
4.1 Develop and apply a model to analyse a system design, environmental impact issue or system fault detection.
2 Lecture hours, 1 Tutorial hour, 1 Practical or Laboratory hour
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.