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RENEWABLE ENERGY &
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DI04011051
Code: DI04011051
Credits: 4
Semester 4
IC
Renewable Energy & Emerging Electronics
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Follow on Instagram for UpdatesRenewable Energy & Emerging Electronics Syllabus — Unit-wise Content
The official GTU curriculum for Renewable Energy & Emerging Electronics (subject code DI04011051) as prescribed for IC · Semester 4 divides the course into 5 units, covering 24 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI04011051)Unit 1 Renewable Energy Systems and Applications
- 1.1 Introduction to Renewable Energy and its Importance 1.2 Types of Renewable Energy Sources- Solar Wind Hydroelectric Biomass Geothermal 1.3 Explain Emerging renewable energy technologies & innovations Tidal wave Solar thermal Hydrogen 1.4 Introduction to Solar Cell
- Photovoltaic effect
- Principle of photovoltaic conversion 1.5 Types of Solar Cells- Silicon
- Mono-crystalline Silicon
- Thin Film
- Amorphous Silicon
- Cadmium Telluride
- Copper Indium Gallium Selenide 1.6 Block diagram of Solar rooftop system 1.7 Block diagram of an electric vehicle & EV architecture Types of EV- Battery Electric Vehicle (BEV) Hybrid Electric Vehicle (HEV) Plug-in Hybrid Electric Vehicle (PHEV) Fuel Cell Electric Vehicle (FCEV) 1.8 Different Energy sources for EV Battery Fuel Cell Ultracapacitor Flywheel Regenerative Braking Hybrid Energy Sources 1.9 National Green hydrogen Mission What is green hydrogen? Green hydrogen production methods Green hydrogen production by electrolysis Concept of Grey hydrogen
- greenhydrogen and blue hydrogen Program Name: Diploma Engineering Level: Diploma Branch: Electronics & Communication Engineering Subject Code: DI04011051 Subject Name: Renewable Energy & Emerging Electronics Unit No
- Content No. of Hours % of Weightage Hydrogen storage
- transport& applications
Unit 2 Smart Materials and Systems
- 2.1 Introduction to Nanotechnology 2.2Applications of Nanotechnology 2.3Introduction to Smart Materials Types of Smart Material and its Application 2.4 Wearable Technology: Smart Watches and Smart glasses
- or wearable health monitoring system 2.5 Introduction to UAVs or drones and their applications Working principle of drone Major components of drone 2.6 Smart System Examples: self-driving cars
- Automation levels in self driving car and working of it, artificial pancreas
- Internet of Things (IoT)
- M2M-enabled advanced manufacturing robots 2.7 Smart Systems Case Study Water pollution monitoring Smart Street light control and monitoring Smart Health Monitoring Smart Homes & Gadgets
Unit 3 Emerging Trends in Electronic Components
- 3.1 Introduction to Organic and Inorganic Electronics Characteristics & Differences Advantages of Organic Electronics 3.2 Different types of organic components: Organic LED (OLED) Organic FET(OFET) Organic Photovoltaic devices (OPVD) 3.3 Introduction to Biometrics: Types of biometrics Biometric system: sensor module
- basic building block of generic biometric system 3.4 Introductionto AR/VR- Industry perspectives and opportunities
Unit 4 Advanced Trends in Interfacing Electronics components
- 4.1 Block diagram & pin configuration of Raspberry PI. 4.2 Getting Started with Raspberry Pi 4.3 Installation and setup of Raspberry Pi computer using Raspberry Pi imager on SD card Program Name: Diploma Engineering Level: Diploma Branch: Electronics & Communication Engineering Subject Code: DI04011051 Subject Name: Renewable Energy & Emerging Electronics Unit No
- Content No. of Hours % of Weightage 4.4 Types of Sensors and actuators 4.3 Control various electronic components using Scratch/python on the Raspberry Pi LED button buzzer and sensors - PIR temperature humidity IR Sensor Ultrasonic Sensor Stepper Motor
Unit 5 Introduction to AI & ML
- 5.1 Definition of AI, Future of Artificial Intelligence
- AI ethics and limitations 5.2 Difference between AI & ML 5.3 AI applications in various industries (healthcare
- Chatbots etc.) 5.4 Introduction to Machine Learning and its Types- Supervised Unsupervised Reinforcement 5.5 Basics of Python for Machine Learning using libraries like NumPy
- keras etc. 5.6 Introduction to ML tools for machine learning implementations Machine learning for kids Scratch scikit-learn Tensor Flow
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