Plant growth is strongly influenced by environmental conditions. Our research focuses on multi-physics simulation of greenhouse environments by incorporating plant–environment interactions. By modeling the dynamics of light, heat, humidity, and CO₂, we aim to optimize growing conditions, enhance energy efficiency, and promote sustainable crop production. 

Reducing energy consumption is essential in the agriculture sector. Our goal is to develop innovative and efficient solutions by designing advanced energy systems and smart energy grids that enhance energy efficiency, enable renewable integration, and promote sustainability in agricultural operations. This includes the development of optimal scheduling technologies for distributed heat sources and diverse thermal energy consumers, addressing both heating and cooling demands. Through coordinated control of energy production and distribution, we aim to maximize system-wide efficiency while supporting resilient and low-carbon smart farming infrastructures. 

Our research employs CFD simulation to estimate and predict the thermal environment within controlled agricultural systems. By analyzing airflow, temperature distribution, and energy dynamics, we aim to achieve even thermal distribution, enhancing energy efficiency and optimizing conditions for sustainable crop production.