National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : ME6552 : Thermal Energy Systems and Modelling { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Ashwin Lakshman Nandagiri

Syllabus

Module 1 :

MODULE 1 - INTRODUCTION (7 hours)
Primary energy analysis- energy balance for closed and control volume systems applications of energy analysis for selected energy system design modeling overview levels and steps in model development Examples of models’ curve fitting and regression analysis

MODULE 2 - MODELLING AND SYSTEMS SIMULATION (7 hours)
Modeling of energy systems heat exchanger solar collectors’ distillation rectification turbo machinery components refrigeration systems information flow diagram solution of set of non-linear algebraic equations successive substitution Newton Raphson method- examples of energy systems simulation.

MODULE 3 - OPTIMISATION TECHNIQUES (7 hours)
Objectives-constraints, problem formulation-unconstrained problems and sufficiency conditions. Constrained optimization Lagrange multipliers, constrained variations, Linear Programming- Simplex tableau, pivoting, sensitivity analysis-new generation optimization techniques Genetic algorithm and simulated annealing examples.

MODULE 4 - ENERGY-ECONOMY MODELS (7 hours)
Multiplier Analysis Energy and Environmental Input / Output Analysis Energy Aggregation Econometric Energy Demand Modeling-Overview of Econometric Methods-Dynamic programming- Search Techniques Univariate/Multivariate

MODULE 5 - APPLICATIONS AND CASE STUDIES (8 hours)
Case studies of optimization in Energy systems problems- Dealing with uncertainty- probabilistic techniques Trade-offs between capital and energy using Pinch analysis

Course Objective

1 .

To learn to apply mass and energy balances for the energy systems

2 .

To impart knowledge about energy systems' modeling and simulation techniques.

3 .

To provide insight into optimization techniques to optimize the energy system.

4 .

To learn to use the energy-economy models and to explore the various applications and case studies

Course Outcome

1 .

Upon completion of this course, the students will be able to:
1. Apply mass and energy balances for the energy systems
2. Propose simulation and modeling of a typical energy system
3. Identify optimization techniques for energy systems.
4. Appraise Energy-Economic Analysis for the typical applications
5. Examine the application of optimization for energy systems and its economics

Essential Reading

1 .

Bejan, A,Tsatsaronis,G and Moran,M, Thermal Design and Optimization, John Wiley & Sons,1996 , 2nd Edition, In print as of 2025, Hardcover available from Wiley.

2 .

Balaji C, Thermal System Design and Optimization, Springer, 2021 , 2nd Edition, In print as of 2025, Softcover/Hardcover available from Springer.

Supplementary Reading

1 .

Chang, Ni-Bin, Systems analysis for sustainable engineering: theory and applications, New York: McGraw-Hill, 2011.

2 .

Stoecker W.F, Design of Thermal Systems, McGraw Hill, 2011