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| MECA0468-1 | Energy system disgnosis
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| Duration : | 30h Th, 30h Pr |
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| Credits/ECTS : |
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| Holder(s) : | Georges Heyen, Olivier Léonard, Jean‑Louis Lilien |
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| Language : | Langue française |
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| Course contents : | This course combines contribution from three teachers.
The first part analyses how to use a process model to better exploit available measurements. Taking advantage of redundancy (i.e. using more sensors than strictly necessary) allows to :
- diagnose failing sensors
- reduce uncertainty on measured variables
- estimate key performance indicators, which cannot be measured directly |
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| Course objective : | The first part of the course should make the students aware of problems resulting from measurement uncertainty, and present software solution addressing the issue for steady state energy systems. |
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| Prerequisites : | Basic knowledge in statistics and optimisation. |
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| Workshops : | As an illustration of the first part of the course, students have access to a commercial data validation software.
They are required to build the model of a thermal power plant. |
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| Organization : | Lectures : 2h/week
Practice : a teaching assistant provides training in using the validation software; later free access to the system for personal applications. |
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| Written notes : | Copy of course supporting materials and extra documents. |
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| Assessment : | Evaluation based on a personal application (data validation for a power plant) documented in a written report. |
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| Contacts : | Georges Heyen
LASSC - Département de chimie appliquée
Bâtiment B6a - local R68
04 3663521
G.Heyen@ulg.ac.be |
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