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.
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.