Numerical analysis of HVAC cooling load using Python
This project presents a Python-based approach to estimating HVAC cooling loads by analyzing key heat transfer mechanisms, including conduction through walls, ventilation heat exchange, and solar heat gain through windows. The model incorporates fundamental heat transfer equations to quantify cooling requirements and assess the impact of various factors on energy consumption. Additionally, insulation optimization strategies are explored to minimize heat transfer and improve system efficiency. The results provide valuable insights for designing energy-efficient HVAC systems by identifying major contributors to cooling demand. You can view the project in detail: here