Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells
Objective
This study develops a neural network-based active cooling system for LCPV silicon solar cells, integrating IoT monitoring and control to optimize temperature management and improve solar cell efficiency.
Abstract
This project presents a Neural Network-Based Active Cooling System integrated with IoT monitoring and control for enhancing the efficiency of LCPV (Low Concentration Photovoltaic) silicon solar cells. Utilizing a 9V solar panel as the power source and a DHT11 sensor for real-time temperature and humidity monitoring, the system activates a CPU fan via an Arduino microcontroller when the panel temperature exceeds a predefined threshold, thereby preventing overheating and efficiency loss. The operation status, including temperature readings and fan activation, is displayed on an LCD screen for easy monitoring. Additionally, a basic neural network model is proposed to predict thermal trends and optimize cooling performance, ensuring intelligent, energy-efficient regulation of panel temperature, which is crucial for maintaining optimal photovoltaic performance.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware requirements:
- Arduino
- DHT 11
- LCD
- Relay
- CPU Fan
- Power supply
Software requirements:
- Arduino IDE
- Embedded C
Learning Outcomes
- Arduino Pin diagram and Architecture
- How to install Arduino IDE Software
- Setting up and Installation procedures for Arduino IDE
- Introduction to Arduino IDE
- Commands in Embedded C
- How to install Libraries?
- Basic coding in Embedded C
- Working of Heartbeat sensor
- Working of DHT11 Sensor
- How to interface Relay with Arduino
- Working of LCD
- How to interface LCD with Arduino?
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools.
- Solution providing for real time problems.
- Working with team/ individual.
- Work on Creative ideas.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
