The M.Tech program in Heat Power & Thermal Engineering offers specialization in renewable energy integration and power plant automation. The program equips students with strong fundamentals in heat transfer, thermodynamics, fluid mechanics, and power plant engineering, along with modern approaches to energy system analysis and optimization.
The curriculum emphasizes integrating renewable energy sources, such as solar and wind, into existing electrical grids. Students learn to address key challenges related to grid stability, load forecasting, energy storage, and efficient power dispatch. In parallel, the program covers advanced topics in power plant automation, including instrumentation, control systems, SCADA, and intelligent monitoring, to enable efficient and reliable plant operation.
Through research projects, industry collaborations, and advanced laboratory facilities, students gain practical experience with real-world energy systems and automation technologies. The program develops analytical, technical, and problem-solving skills required to design and manage modern power systems.
Times New Roman",serif">Graduates are well prepared for professional and leadership roles in power generation companies, grid management organizations, renewable energy firms, automation industries, consultancy, research and development, and academia, contributing to the advancement of sustainable, efficient, and reliable energy infrastructure.
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Scholarships and teaching/research assistantships are available for deserving meritorious students. Minimum requirement for scholarships is a score of 75% and above in the Qualifying exam. Each scholarship application will be evaluated by the Scholarship Committee. The scholarships are given on an annual basis. To continue the scholarships after the first year, the student will have to maintain a minimum prescribed academic performance during the course of the programme.
Assistantships require students to commit minimum of 8 hours of work per week outside regular academic work, assisting professors on teaching or research projects. Typically an assistantship could pay a stipend of Rs. 12,000 per month depending on the type and quality of work undertaken.
Continuation of assistantship during each semester is contingent upon satisfactory academic performance and satisfactory performance in the discharge of responsibilities assigned under the scheme.
| Semester I |
|---|
| Advanced Thermodynamics |
| Renewable Energy Integration with Power Grid NIT Delhi/TERI |
| Convective Heat Transfer |
| AI and Computational Methods in Optimization |
| Program Elective I (Annexure - I) |
| Advanced Heat Transfer Lab |
| AI and Computational Methods in Optimization Lab |
| Intellectual Property Rights |
| Semester II - Course Name |
|---|
| Plant Automation and Instrumentation |
| Research Methodology |
| Design of Thermal Systems |
| Computational Fluid Dynamics |
| Program Elective II (Annexure - II) |
| Plant Automation and Instrumentation Lab |
| Computational Fluid Dynamics Lab |
| Scientific Paper Writing |
| Semester III - Course Name |
|---|
| Industrial / Research Internship |
| Dissertation-I |
| Semester IV - Course Name |
|---|
| Dissertation-II |
| Semester II - Course Name |
|---|
| Engineering Mathematics-II |
| Applied Chemistry |
| Semester II - Course Name |
|---|
| Engineering Mathematics-II |
| Applied Chemistry |
Attain in-depth expertise in the chosen engineering discipline while enhancing the ability to integrate knowledge across multidisciplinary domains.
Develop the ability to conduct independent research, apply analytical and critical thinking skills to investigations and innovations, and effectively communicate findings.
Apply engineering and management principles to plan, execute, and oversee projects efficiently in multidisciplinary and dynamic environments.
Demonstrate a strong understanding of ethical principles, professional integrity, and social responsibilities in engineering practices.
Cultivate the ability to independently acquire and apply new knowledge, utilizing modern tools and online resources for continuous learning, research, and innovation.
PSO 1: Design, develop, validate and implement power electronic systems for applications in power systems, electric drives, hybrid electric vehicles, and renewable energy systems.
PSO 2: Develop research expertise and leadership skills to foster personal and professional growth, enabling a successful human resource in the global power systems and power electronics domain.
PSO 3: Attain proficiency in applying advanced tools, including Artificial Intelligence and modern computational techniques, for the analysis, design, and optimization of grid-connected renewable energy systems and machine drive control systems.