Modeling and Simulation of Digital Twin AHU Heating System
Step 1: Initially, we will construct the House Heating Model by using a heater and thermostat controlling system in Simulink.
Step 2: Next, we will integrate the subsystem such as supply fan dynamics, Zone temperature feedback loop and value control heating coil models.
Step 3: Then, we integrate the RL controller based on PPO and SAC in the simulink model.
Step 4: Then, we simulate the model and collect temperature and AHU based simulink data.
Step 5: Next, we will train the collected data in a python based gymnasium environment using PPO and SAC based RL agent technique to improve the energy saving and system stability purposes. (based on your provided setup configurations)
Step 6: Next, we analyze and export the RL-controlled data as a tabular format.
Step 7: Finally, we plot performance for the following metrics:
7.1 : HVAC Air Temperature Trends
7.6 : Energy Consumption vs Outdoor Temperature
Software Requirements:
1. Development Tool: Matlab-R2023a/Simulink or above With Python
2. Operating System: Windows 10 (64-bit) or above
5) Project based on Simulation only.