Project Overview
This project delivers an energy-saving air conditioning solution by integrating evaporative cooling with Artificial Neural Network (ANN) control for optimized operation in arid climates. The design includes sensor-based feedback, automatic water control, and a focus on minimal power use and water waste.
Block Diagrams & Simulink Models
Temperature Control Block Diagram
Humidity Control Block Diagram
ANN Closed-Loop Model (Temperature)
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Open-Loop System Responses
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Open-Loop: Ts Setpoint Changes
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Open-Loop: To Disturbance
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Open-Loop: Ws Setpoint Changes
See all open-loop results
Closed-Loop (PID & ANN) Responses
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Closed-Loop: Ts Setpoint Changes
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Closed-Loop: Ws Setpoint Changes
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Closed-Loop: To Disturbance
See all closed-loop results
ANN Model & Advanced Results
ANN Plots: Temperature
ANN Plots: Humidity
See all ANN results
Conclusion & Future Recommendations
- The proposed EC/DW system significantly enhances energy efficiency and sustainability for residential cooling and dehumidification.
- Future work includes integration with renewable energy, advanced desiccant materials, and real-world system implementation.