Advanced Methods for Process Design, Synthesis and Optimization

Course Information
TitleΠροηγμένες Μέθοδοι Σχεδιασμού, Σύνθεσης και Βελτιστοποίησης Διεργασιών / Advanced Methods for Process Design, Synthesis and Optimization
SchoolChemical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
Course ID20002634

Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2021-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSElective CoursesWinter-5

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Required Courses
  • DE4 Techniques for Production Scheduling
General Prerequisites
It is essential the students to have passed succesfully the course techniques for production scheduling.
Learning Outcomes
At the end of the course the student will be able to design and synthesize optimally a production process using advanced optimization techniques and related computer-aided tools such as GAMS. The student will also be able to develop and solve an advanced production scheduling model for batch processes.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work in teams
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to process synthesis and design. Synthesis with advanced computational techniques. Basic methodologies on process synthesis and design. The role of advanced optimization techniques in process design and synthesis. Principle of process optimization. Linear, non-linear and mixed-integer programming. Modelling with discrete alternatives. Methodology for converting locial expressions to equivalent mathematical representations. Algorithms for solving mixed-integer pro-gramming problems. Synthesis of heat Exchange Network (HEN) for maximum energy recovery. Minimization of utilities cost. Minimal number of matches between hold and cold stream. Automatic generation of HEN us-ing advanced process optimization techniques. Advanced synthesis of separation processes. Synthesis and optimal sequence of energy integrated distillation processes. Superstructure modelling using mixed-integer programming techniques. Introduction to GAMS modelling and optimization took (laboratory). Basic structure of the platform, commands, syntax language. Projected using the GAMS tool • Synthesis of HEN for maximum energy recovery. • Optimal design and synthesis of chemical production network. • Design and synthesis of energy generation plant with various energy resources. • Optimal feed tray location of a refinery distillation system • Optimal design of a production and distribution supply chain network. • Optimal scheduling of blending processes in a refinery plant.
Process Optimisation; Heat Exchange networks; Optimal process design and synthesis; Supply Chain Optimisation
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Course Organization
Student Assessment
Student Assessment methods
  • Written Assignment (Formative)
  • Oral Exams (Formative)
  • Report (Formative)
Course Bibliography (Eudoxus)
Ι. ΚΟΥΚΟΣ, Α.Α. ΚΟΥΤΙΝΑΣ. ΒΕΛΤΙΣΤΟΠΟΙΗΣΗ ΔΙΕΡΓΑΣΙΩΝ ΚΑΙ ΣΥΣΤΗΜΑΤΩΝ Με εφαρμογές στο MATLAB και στο GAMS. Εκδόσεις Τζιόλα, ISBN: 978-960-418-415-6
Additional bibliography for study
• Lorenz T. Biegler, Ignacio E. Grossmann and Arthur W. Westerberg (1996). Systematic Methods of Chemical Process Design. Prentice Hall. ISBN: 0-13-272337-9. • C.A. Floudas (1995). Non-Linear and Mixed-Integer Optimiarion. Fundamendals and Applications. Oxford University Press. ISBN-10: 0195100565.
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