Semester-wise syllabus for an M.Tech in Energy Systems Engineering

 

Semester 1:

Core Foundations 

1. Energy Systems Analysis 

   - Thermodynamics, energy balances, exergy analysis, and lifecycle assessment (LCA). 

2. Renewable Energy Technologies 

   - Solar PV/wind systems, biomass, geothermal, and hybrid energy systems. 

3. Power System Engineering 

   - Grid integration, load forecasting, stability, and power electronics for renewable energy. 

4. Energy Economics and Policy 

   - Energy markets, tariffs, carbon pricing, and global energy policies (Paris Agreement, SDGs). 

5. Lab Work 

   - Solar/wind system simulations (HOMER, PVsyst), power flow analysis (MATLAB/PowerWorld). 

 

Semester 2:

 Advanced Energy Systems 

1. Smart Grids and Microgrids 

   - Demand response, distributed energy resources (DERs), IoT-enabled grids, and energy storage. 

2. Energy Storage Systems 

   - Batteries (Li-ion, flow), supercapacitors, hydrogen storage, and thermal energy storage. 

3. Energy Efficiency and Management

   - Industrial/commercial energy audits, HVAC optimization, and building energy modeling (EnergyPlus). 

4. Elective 1 

   - Options: Electric Vehicle Infrastructure, Carbon Capture and Storage (CCS), Offshore Energy Systems. 

5. Lab Work

   - Microgrid design (DigSILENT), battery management systems (BMS), IoT-based energy monitoring. 

 

Semester 3:

Specialization & Research 

1. Advanced Renewable Energy Systems 

   - Floating solar, offshore wind, concentrated solar power (CSP), and green hydrogen production. 

2. Energy Systems Optimization 

   - Linear/nonlinear programming, AI/ML for energy forecasting, and hybrid system optimization. 

3. Elective 2 

   - Options: Energy Cybersecurity, Bioenergy Systems, Nuclear Energy Technology. 

4. Elective 3 

   - Options: Energy Access in Developing Economies, Advanced Power Electronics for Energy Systems. 

5. Research Project (Phase 1) 

   - Proposal (e.g., smart grid resilience, hybrid renewable systems, or EV charging networks). 

6. Lab Work 

   - Hydrogen fuel cell testing, AI-driven load forecasting (Python), CSP plant simulation (SAM). 

 

Semester 4:

Dissertation & Industry Integration 

1. Dissertation/Thesis

   - Focus areas: Decarbonization strategies, grid modernization, energy storage innovations, or rural electrification. 

2. Industry Internship (Optional)

   - Collaborations with power utilities (NTPC, Siemens), renewable firms (Suzlon, Adani Green), or NGOs. 

3. Emerging Trends Seminar 

   - Topics: AI for energy systems, circular economy in energy, fusion energy, and blockchain for energy trading. 

4. Seminar & Viva Voce 

   - Presentation and defense of research, peer reviews, and industry expert feedback. 

 

Electives (Across Semesters 2–3)

- Electric Vehicle Infrastructure: Charging networks, V2G (vehicle-to-grid) integration, battery recycling. 

- Carbon Capture and Storage (CCS): Post-combustion capture, geological storage, DAC (direct air capture). 

- Energy Cybersecurity: Grid cyber-physical security, encryption, and intrusion detection. 

- Bioenergy Systems: Biogas, biofuels (biodiesel, ethanol), and waste-to-energy technologies. 

- Nuclear Energy: Reactor designs, safety protocols, and small modular reactors (SMRs). 

 

Tools & Technologies 

- Simulation: HOMER Pro, MATLAB/Simulink, ETAP, RETScreen, EnergyPlus. 

- AI/ML: Python (TensorFlow, Scikit-learn), R for energy forecasting. 

- Hardware: Smart meters, IoT sensors (Arduino/Raspberry Pi), battery testing rigs. 

- Policy Analysis: LEAP (Long-range Energy Alternatives Planning), MARKAL/TIMES. 

 

Industry Applications 

- Power Utilities: Grid modernization, renewable integration, demand-side management. 

- Renewable Energy: Solar/wind farm design, green hydrogen projects. 

- Oil & Gas: Transition strategies (CCS, blue hydrogen), energy efficiency optimization. 

- Smart Cities: Microgrids, EV infrastructure, energy-efficient buildings. 

- Consulting: Energy auditing, policy advisory, sustainability reporting.