Study Programmes 2016-2017
| CHIM0695-2 | ||||||||
| Introduction to the modelling of chemical processes | ||||||||
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Duration :
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| 20h Th, 45h Pr | ||||||||
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Number of credits :
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Lecturer :
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| Grégoire Léonard | ||||||||
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Language(s) of instruction :
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| English language | ||||||||
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Organisation and examination :
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| Teaching in the first semester, review in January | ||||||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | ||||||||
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Learning unit contents :
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| The course proposes an introduction to the general principles of modeling and applies these principles to the field of process engineering.
First, the objectives, usefulness and limitations of modeling and simulation are presented through examples with a special focus on chemical processes. The methodology for building a model is presented, proceeding via the identification of a conceptual model and its implementation into a simulation model. The key elements of the conceptual model are discussed: balance equations, fundamental laws, constraints and specifications, degrees of freedom. This approach is applied to the representative physical unit operations that compose most chemical engineering processes: reactors, heat exchangers, distillation units, flash tanks... The implementation of conceptual models into simulation models is trained thanks to the use of commercial software packages (Aspen Tech), leading to solve typical problems observed in the industry. The selection of an appropriate method for predicting the thermodynamic properties of mixtures observed in chemical engineering processes is also addressed. Different approaches are presented for solving process flowsheets, relying either on the simultaneous solving of all equations (equations oriented) or on the use of a physical stream sequence in the process (sequential modular). The principle of process tearing to facilitate iterative flowsheet solving is described and the Mottard's algorithm is applied to identify optimal tear streams. Finally, basic methods typically used in chemical engineering to solve numerical equations are also described (Newton, Wegstein, Broyden...). |
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Learning outcomes of the learning unit :
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| In this course, students will gain theoretical and practical knowledge in order to be able to develop, calibrate and efficiently use mathematical models in general, and for chemical engineering processes in particular.
They will first learn the different steps in the construction of a general model, and apply this methodology for chemical engineering processes. They will be able to select a relevant thermodynamic model to predict the properties of a chemical system. They will learn how to build a conceptual model for single physical unit operations, identifying specifications, characteristic variables, and the resulting degrees of freedom. They will be able to include these bloc models into a flowsheet model and to propose a solving architecture based on the sequential modular approach, including the identification of tear streams. They will be able to select adapted numerical methods to solve industrial processes models. From the practical works, the students will learn to use the simulation tool Aspen Plus and they will get an introduction to Aspen Hysys. They will test the limits of modeling and train their understanding of chemical engineering processes thanks to the use of simulation models. |
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Prerequisite knowledge and skills :
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| Pre-requisite :
Thermodynamique chimique appliquée, CHIM0009 Introduction au génie chimique et aux procédés industriels, CHIM9306 Introduction to numerical analysis MATH0006 Co-requisite : Physical unit operations I, CHIM9299 |
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Planned learning activities and teaching methods :
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| Theoretical classes will give students an insight in the basics of modeling with particular application to the modeling of chemical engineering processes.
In parallel to the lectures, practical classes will be held with the objectives of training the use of simulation software. Students will work in groups of 2, using commercial simulation tools. During the practical classes, the model of a process loop for ammonia synthesis will be developed little by little. |
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Mode of delivery (face-to-face ; distance-learning) :
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| Course held in the first semester. Lectures (2h/week) and practical classes (4h/week). | ||||||||
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Recommended or required readings :
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| Reference book : K. Hangos & I. Cameron, 2001. Process modelling and model analysis, Academic Press.
Lecture slides and applications available on eCampus. Simulation software available in the IT room or to install on own computer. |
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Assessment methods and criteria :
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| Practical classes reports (by groups of 2, 40% of the final note).
Written examination (60% of the final note). It is necessary to achieve a note of minimum 8/20 for each part (practical classes and theory) to pass the class. The note of each part can be kept for the second session. |
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| 1) Grégoire Léonard (G.Leonard@ulg.ac.be)
2) Marie-Noëlle Dumont (mn.dumont@ulg.ac.be) |
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