Development of Simulation-based Digital Twin for Smart Space HVAC System - Case Study of a Phytotron System.

Controlled Environment Agriculture (CEA) offers a solution to modern agricultural challenges such as urbanization, resource limitations, and energy efficiency. By automating systems and monitoring key factors like temperature, humidity, and carbon dioxide, CEA creates optimal conditions for year-round crop production. However, energy consumption remains a hurdle for sustainability.

This research focuses on developing a simulation-based digital twin (DT) model for a phytotron system to enhance energy efficiency. The DT prototype predicts indoor temperature and energy needs in real-time while factoring in plant interactions with the environment. It utilizes advanced simulations and virtual sensors to provide cost-effective monitoring and insights for sustainable energy management.