Syllabus

Module 1:
First Principle based dynamic models of various chemical engineering processes including reactors, Distillation Column, CSTR, evaporator and Heat exchanger, Linearization and state space models, lumped and distributed parameter systems, dynamic simulation. [10 hrs.]
Module 2:
Sampling of continuous time signal. Ideal impulse sampler, Signal re-construction from their discrete values. Step response and Finite Impulse Response (FIR) model. Dynamic empirical models (ARX, ARMAX, ARMA), and System identification. [10 hrs.]
Module 3:
Optimization: Traditional (constrained optimization, Kun-Tucker condition) and non-traditional optimization techniques (Differential evolution and simulated annealing). [8 hrs.]
Module 4:
Design of Heat exchanger network (HEN) and mass exchanger network (MEN) as a tool of process intensification. [10 hrs.]

Students will be able to understand the significance of modeling, simulation, and Optimization in Process design and plant operation.

Students will be able to understand the significance of signals, samplers, and models being developed from system responses.

To make the students proficient in System identification from plant data and dynamic empirical models.

To make the students proficient in Heat exchanger network (HEN) and mass exchanger network (MEN) design techniques as a tool of process intensification

1. Students will acquire requisite computational techniques/numerical methods to solve engineering problems based on modeling, simulation, and optimization (using MATLAB and SIMULINK platform).
2. Students will be proficient in System identification from plant data and dynamic empirical modeling.
3. Students will be prepared for adapting and practicing the techniques and tools required for HEN and MEN design in a process plant.

B. Roffel, B. Betlem, Process Dynamics & Control: Modeling for control and prediction, John Wiley & Sons Ltd , 2006

Seider, Warren D., Product and Process Design Principles: Synthesis, Analysis and Evaluation, John Wiley & Sons , 4th edition, 2016

W.L. Luybe, Process Modeling, Simulation And Control For Chemical Engineers, McGraw-Hill Education , 2nd edition 2014

Singiresu S. Rao,, Engineering Optimization: Theory and Practice, Engineering Optimization: Theory and Practice, John Wiley & Sons, Inc. , Fourth Edition, 2009

Computers & Chemical Engineering, Elsevier

Journal of Energy Resource Technology, ASME