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Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Hydro Power Engineering

Thdc Institute Of Hydro Power Engineering And Technology
Duration
4 Years
Hydro Power Engineering UG OFFLINE

Duration

4 Years

Hydro Power Engineering

Thdc Institute Of Hydro Power Engineering And Technology
Duration
Apply

Fees

₹8,50,000

Placement

93.5%

Avg Package

₹7,50,000

Highest Package

₹12,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Hydro Power Engineering
UG
OFFLINE

Fees

₹8,50,000

Placement

93.5%

Avg Package

₹7,50,000

Highest Package

₹12,00,000

Seats

300

Students

1,200

ApplyCollege

Seats

300

Students

1,200

Curriculum

Course Structure Overview

The Hydro Power Engineering program is structured over 8 semesters, with each semester comprising a mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to build technical competence while fostering critical thinking and innovation.

SemesterCourse CodeCourse TitleCredits (L-T-P-C)Pre-requisites
1MAT101Engineering Mathematics I3-0-0-3-
1PHY101Physics for Energy Systems3-0-0-3-
1CIV101Introduction to Civil Engineering2-0-0-2-
1CHM101Chemistry for Engineers3-0-0-3-
1CSE101Introduction to Computer Programming2-0-0-2-
1LAT101English for Engineers2-0-0-2-
1LAB101Basic Engineering Lab0-0-3-1-
2MAT201Engineering Mathematics II3-0-0-3MAT101
2MAT202Probability and Statistics3-0-0-3MAT101
2MCH201Engineering Mechanics3-0-0-3-
2CIV201Strength of Materials3-0-0-3-
2PHY201Thermodynamics3-0-0-3-
2LAT201Technical Communication2-0-0-2-
2LAB201Mechanics and Materials Lab0-0-3-1-
3MAT301Advanced Mathematics3-0-0-3MAT201
3MEC301Fluid Mechanics3-0-0-3-
3CIV301Hydrology and Water Resources3-0-0-3-
3MEC302Mechanics of Machines3-0-0-3-
3ECE301Basic Electrical Engineering3-0-0-3-
3LAT301Professional Ethics2-0-0-2-
3LAB301Fluid and Machine Lab0-0-3-1-
4MAT401Numerical Methods3-0-0-3MAT201
4MEC401Hydraulic Machines3-0-0-3-
4CIV401Geotechnical Engineering3-0-0-3-
4ECE401Electrical Machines3-0-0-3-
4MEC402Control Systems3-0-0-3-
4LAT401Leadership and Teamwork2-0-0-2-
4LAB401Control Systems Lab0-0-3-1-
5ECE501Power Electronics3-0-0-3-
5CIV501Hydroelectric Plant Design3-0-0-3-
5MEC501Energy Conversion Systems3-0-0-3-
5ECE502Power System Analysis3-0-0-3-
5MAT501Optimization Techniques3-0-0-3-
5LAB501Power Electronics Lab0-0-3-1-
6ECE601Smart Grid Technologies3-0-0-3-
6CIV601Environmental Impact Assessment3-0-0-3-
6MEC601Digital Twin and Simulation3-0-0-3-
6MAT601Advanced Data Analytics3-0-0-3-
6LAT601Project Management2-0-0-2-
6LAB601Simulation and Modeling Lab0-0-3-1-
7ECE701Advanced Control Systems3-0-0-3-
7CIV701Hydro-Mechanical Systems3-0-0-3-
7MEC701Renewable Energy Integration3-0-0-3-
7LAT701Research Methodology2-0-0-2-
7LAB701Capstone Lab0-0-3-1-
8ECE801Final Year Thesis0-0-0-6-
8LAB801Thesis Lab0-0-3-2-

Detailed Course Descriptions

Several advanced departmental electives are offered to deepen specialization. Here are descriptions of some key courses:

Power Electronics and Drives

This course introduces students to power conversion circuits, inverters, rectifiers, and motor drives used in modern hydroelectric systems. It covers both theoretical analysis and practical implementation using simulation tools like MATLAB/Simulink.

Hydro-Mechanical Systems

Focused on mechanical design of turbines, generators, and control valves, this course emphasizes the integration of mechanical components within hydro plants. Students learn to model systems using CAD software and analyze performance under various operating conditions.

Environmental Impact Assessment

This course teaches students how to assess the ecological consequences of hydro projects, including habitat disruption, water quality changes, and biodiversity loss. It includes case studies from global projects.

Smart Grid Technologies

Explores the integration of renewable energy sources into existing grids, focusing on smart inverters, load forecasting, and automated control systems. Students work with real-time data platforms to simulate grid behavior.

Digital Twin and Simulation

This course introduces students to digital twin modeling for hydroelectric plants. Using tools like ANSYS and MATLAB, students learn to create predictive models that simulate plant performance under different conditions.

Energy Economics and Policy

Covers the economic principles behind energy markets, including pricing mechanisms, subsidies, and regulatory frameworks. Students analyze real-world projects to understand cost-benefit dynamics.

Hydroelectric Plant Design

This course provides a comprehensive overview of designing hydroelectric plants from initial site selection to detailed engineering. Topics include dam design, turbine selection, and system optimization.

Advanced Data Analytics

Students learn to apply machine learning techniques to analyze large datasets related to hydroelectric operations, including predictive maintenance and energy forecasting.

Control Systems for Power Plants

This course focuses on designing control systems for hydroelectric plants. Students explore feedback loops, PID controllers, and real-time system monitoring using PLCs and SCADA software.

Hydrological Modeling Using GIS

Using Geographic Information Systems (GIS), students model watershed dynamics, rainfall-runoff relationships, and flood prediction models essential for site selection and risk assessment.

Project-Based Learning Philosophy

The department strongly believes in experiential learning. From the second year onward, students participate in mini-projects where they design, build, and test small-scale systems. These projects are supervised by faculty mentors and often lead to publications or patents.

In the final year, students undertake a capstone project under the guidance of an industry mentor or professor. Projects can range from designing a new turbine blade to optimizing energy storage in a microgrid connected to a hydro plant. The evaluation criteria include technical depth, innovation, presentation quality, and teamwork.

Students are encouraged to choose projects aligned with their interests and career goals, ensuring relevance and engagement. Faculty mentors provide ongoing support throughout the project lifecycle, from conceptualization to final documentation.