National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

Subject {L-T-P / C} : BM6532 : Modeling and Simulation of Bioprocesses { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Bikash Chandra Maharaj

Syllabus

Module 1 :

Module 1: Basic Modelling Principles (8 Contact Hours)
Introduction , definition of modelling and simulation, different types of models, Mass transfer: liquid - liquid, liquid - gas, liquid - solid mass transfer, Stoichiometry

Module 2: Mathematical Models for Biochemical Engineering Systems (10 Contact Hours)
Batch Reactor, CSTR, Fed Batch reactor, Batch Distillation, Isothermal with cooling/heating jacket or coil

Module 3: Modelling of Bioprocesses (6 Contact Hours)
Modelling approaches for Biological Systems Growth Kinetic Models- Structured and unstructured, Compartmental models, deterministic and stochastic approaches, death kinetic models.

Module 4: Numerical Methods and Analysis(5 contact Hours):
Rungge Kutta and Newton Raphson, Stability Analysis, basic data analysis-curve fitting, sensitivity analysis.

Module 5: Case Studies (7 Contact Hours)
Model for: lactic acid fermentation, antibiotic production, ethanol fermentation, activated sludge processes, Anaerobic digestion

Course Objective

1 .

Students will be able to develop mathematical models of bioprocesses using mass and heat conservation principles

2 .

The students will be able to identify system boundaries and relate the governing variables through a methodological approach.

3 .

The students will be able to integrate a differential algebraic system for bioprocess using MATLAB.

4 .

Acquire proficiency in recruiting numerical methods for solving models based on difference equations for a particular use case

Course Outcome

1 .

1. Students would be able to gain understanding of different types of models and methodology generally recruited for bioprocess engineering.
2. The students will be able to develop mathematical models for various bioprocesses with the help of first principles.
3. Students will be able to identify and define a system, state variables and processes of a given bioprocess.
4. The students will be able to understand the principles of solving difference equation based mathematical models.
5. Students will be able to simulate a bioprocess on MATLAB.

Essential Reading

1 .

J.E. Bailey and D.F. Ollis, Biochemical Engg Fundamentals, McGraw Hill

2 .

Michael Shuler and Fikret Kargi, Bioprocess Engineering: Basic Concepts, Prentice Hall

Supplementary Reading

1 .

William Luyben, Process Modelling, Simulation and Control for Chemical Engineers, McGraw Hill

2 .

Michael Shuler and Fikret Kargi, Bioprocess Engineering: Basic Concepts, Prentice Hall