EEUL660.2 - Non-Conventional Energy Sources
|
EEUL660.2 |
Non-Conventional Energy Sources |
|
EEUL660.2.1 |
Elucidate the fundamental principles of solar radiation and energy collection systems. |
|
EEUL660.2.2 |
Analyze various solar energy storage methods and applications in real-world scenarios. |
|
EEUL660.2.3 |
Evaluate the performance of wind and biomass energy systems. |
|
EEUL660.2.4 |
Compare different ocean and geothermal energy systems in terms of feasibility and efficiency. |
|
EEUL660.2.5 |
Interpret the working principles of direct energy conversion systems and their limitations. |
EEUL660.1 - Elements of Smart Grid System
|
EEUL660.1 |
Elements of Smart Grid System |
|
EEUL660.1.1 |
Elucidate the evolution, concepts and smart grid initiatives. |
|
EEUL660.1.2 |
Analyze smart grid performance enhancement automation technologies (SCADA, AMI) |
|
EEUL660.1.3 |
Evaluate PMUs and WAMS for real-time monitoring of smart grids. |
|
EEUL660.1.4 |
Investigate the integration challenges of DERs/ RES/EVs and its possible outcome. |
|
EEUL660.1.5 |
Assess the applications of IoT and AI in developing active distribution networks and smart city systems |
EEUP622 - Embedded System and IOT Lab
|
EEUL622 |
Embedded System and IOT Lab |
|
EEUP622.1 |
Apply microcontroller programming techniques to interface and operate sensors and actuators in embedded systems. |
|
EEUP622.2 |
Analyze and design optimized embedded system solutions for real- time applications. |
|
EEUP622.3 |
Analyze and integrate IoT modules for effective data acquisition and remote monitoring. |
|
EEUP622.4 |
Evaluate and troubleshoot embedded systems using standard debugging techniques. |
|
EEUP622.5 |
Evaluate and present experimental results through effective technical documentation. |
EEUP623 - Python Lab
|
EEUL623 |
Python Lab |
|
EEUP623.1 |
Understand the fundamentals of Python programming including variables, data types, control structures, and functions.. |
|
EEUP623.2 |
Apply Python data structures and libraries such as NumPy, Matplotlib, and SymPy for numerical computation, plotting, and symbolic analysis. |
|
EEUP623.3 |
Analyze and handle experimental or simulated data using file operations and Pandas for effective data visualization and interpretation. |
|
EEUP623.4 |
Apply Python programming to solve and simulate basic electrical engineering problems such as AC circuit analysis, network theorems, and transient responses. |
|
EEUP623.5 |
Examine and interpret control system and signal processing concepts using Python libraries for modeling, response analysis, and frequency-domain representation. |
|
EEUP623.6 |
Design and implement mini-projects integrating Python tools to simulate and visualize real-world electrical systems or data-driven applications. |
EEUP621 - Energy System Lab
|
EEUL621 |
Energy System Lab |
|
EEUL621.1 |
Analyze PV module characteristics under varying irradiance and configurations. |
|
EEUL621.2 |
Apply MPPT control methods to operate a DC–DC converter and determine its performance. |
|
EEUL621.3 |
Analyze wind turbine characteristics and variations in power output. |
|
EEUL621.4 |
Assess simulated PV, wind, and hybrid systems for power flow and overall performance. |
|
EEUL621.5 |
Evaluate energy audit data to determine consumption patterns and cost–benefit outcomes. |
