Vapor Compression-Based Air Conditioning System Model

InterIIT Tech Meet 13.0 - Albatross Energetic Problem Statement

Overview

This repository contains a detailed MATLAB/Simulink model of a vapor compression-based air conditioning (AC) system. The project was developed as part of the InterIIT Tech Meet 13.0 under the problem statement provided by Albatross Energetic.

The objective is to design and simulate an energy-efficient, safe, and robust cooling and dehumidification system using a single compressor. The system is modeled to operate under varying load conditions, ensuring optimal performance and reliability.

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Problem Statement

Participants were tasked with:

1. Modeling a vapor compression AC system, including component selection, refrigerant choice, and control logic.
2. Ensuring optimal cooling, dehumidification, and energy efficiency.
3. Maintaining safe operational limits under varying load conditions.

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Key Features

• MATLAB/Simulink Implementation: The entire system is modeled using Simulink blocks for modularity and clarity.
• Dynamic Load Simulation: System behavior is tested under varying temperature and humidity conditions.
• Energy Efficiency: Incorporates strategies like variable-speed compressors and advanced control logic.
• Control Logic Design: Includes PID controllers for temperature and humidity regulation.
• Safety Features: Monitors operational parameters to ensure the system operates within safe limits.

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Components Modeled

1. Compressor: Compresses the refrigerant to increase its pressure and temperature.
2. Condenser: Releases heat to the environment, converting the refrigerant to a liquid state.
3. Expansion Valve: Reduces refrigerant pressure and temperature.
4. Evaporator: Absorbs heat from the air, cooling and dehumidifying it.
5. Refrigerant: Simulated with thermodynamic properties for efficiency and environmental considerations.

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System Objectives

1. Achieve effective cooling and dehumidification.
2. Maintain energy efficiency and reduce power consumption.
3. Ensure safe operation under various load conditions.
4. Test control strategies for adaptive and efficient system performance.

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License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or feedback, please reach out to singh.ankit@iitgn.ac.in .

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© 2024 Ankit Singh

Repository Structure

├── Models/               # Simulink models and simulation files  
├── Documentation/        # Problem statement, design methodology, and system description  
├── README.md             # Overview and instructions (this file)