1. Home
  2. Process Modelling [ENS5560]

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Process Modelling

  • Unit Code

    ENS5560

  • Year

    2016

  • Enrolment Period

    1

  • Version

    2

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus

Description

In the modern engineering world modelling is regarded as a basic tool for decision making across the whole product and process life cycle. This underscores the importance of this unit since models or the outputs of models are often essential for high level decision making. This covers financial, engineering, risk, human factors and related modelling application areas. Students will gain an understanding of the types of models that exist, their construction and documentation, and finally how they are used to support process life cycle activities.

Prerequisite Rule

Students must pass 1 units from ENS5558

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply modelling to an application area for a range of decision making outcomes.
  2. Build process models from first principles and from plant data.
  3. Demonstrate an understanding of the importance and use of models in process and environmental engineering.
  4. Examine process models to determine their important characteristics.
  5. Investigate the dynamic behaviour of systems, and create models of those systems.
  6. Perform data analysis, parameter estimation, and model validation.
  7. Relate dynamic behaviour to the importance of process safety and process behaviour.
  8. Select and apply appropriate numerical techniques to solve process models.

Unit Content

  1. A systematic model development framework and its applications.
  2. Application of models to analyse a control system design, environmental impact issue or system fault detection.
  3. Concepts of model calibration, validation and performance of these tasks on moderately complex systems.
  4. Development of empirical, data driven models.
  5. Development of phenomenological models from basic science, engineering science and chemical engineering principles.
  6. Implementation and verification of models using an appropriate programming language.
  7. Investigating the structural and behavioural aspects of models.
  8. Observation, insight and description of process dynamics on real systems.
  9. The role and use of models in chemical engineering across the product-process life cycle.

Additional Learning Experience Information

Lectures, tutorials, laboratories and field work.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
Laboratory Work ^Laboratory reports30%
TestMid semester test20%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • ^ Hangos, K. & Cameron, I. (2001). Process modelling and model analysis. London, UK: Academic Press.
  • Rice, R.G. & Do, D.D. (2012). Applied mathematics and modeling for chemical engineers (2nd ed.). New York, NY: John Wiley.

^ Mandatory reference

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

ENS5560|2|1

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Process Modelling

  • Unit Code

    ENS5560

  • Year

    2016

  • Enrolment Period

    2

  • Version

    2

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus

Description

In the modern engineering world modelling is regarded as a basic tool for decision making across the whole product and process life cycle. This underscores the importance of this unit since models or the outputs of models are often essential for high level decision making. This covers financial, engineering, risk, human factors and related modelling application areas. Students will gain an understanding of the types of models that exist, their construction and documentation, and finally how they are used to support process life cycle activities.

Prerequisite Rule

Students must pass 1 units from ENS5558

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply modelling to an application area for a range of decision making outcomes.
  2. Build process models from first principles and from plant data.
  3. Demonstrate an understanding of the importance and use of models in process and environmental engineering.
  4. Examine process models to determine their important characteristics.
  5. Investigate the dynamic behaviour of systems, and create models of those systems.
  6. Perform data analysis, parameter estimation, and model validation.
  7. Relate dynamic behaviour to the importance of process safety and process behaviour.
  8. Select and apply appropriate numerical techniques to solve process models.

Unit Content

  1. A systematic model development framework and its applications.
  2. Application of models to analyse a control system design, environmental impact issue or system fault detection.
  3. Concepts of model calibration, validation and performance of these tasks on moderately complex systems.
  4. Development of empirical, data driven models.
  5. Development of phenomenological models from basic science, engineering science and chemical engineering principles.
  6. Implementation and verification of models using an appropriate programming language.
  7. Investigating the structural and behavioural aspects of models.
  8. Observation, insight and description of process dynamics on real systems.
  9. The role and use of models in chemical engineering across the product-process life cycle.

Additional Learning Experience Information

Lectures, tutorials, laboratories and field work.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
Laboratory Work ^Laboratory reports30%
TestMid semester test20%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • ^ Hangos, K. & Cameron, I. (2001). Process modelling and model analysis. London, UK: Academic Press.
  • Rice, R.G. & Do, D.D. (2012). Applied mathematics and modeling for chemical engineers (2nd ed.). New York, NY: John Wiley.

^ Mandatory reference

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

ENS5560|2|2