About SFEL
SFEL(Smart Farm Environment & Energy System Engineering Lab) integrates CFD(Computational Fluid Dynamics) and BES(Building Energy Simulation) technologies to precisely analyze and optimize aerodynamic environments and energy flows within various agricultural and livestock facilites, such as greenhouse, pig house, and poultry houses. By implementing numerical models that represent real-world physical phenomena, the lab predicts internal airflow variations and gas emission pathways. Based on these insights, we establish strategies for structural stability assessment and atmospheric dispersion mitigation, providing next-generation solutions for maximizing energy efficiency and realizing sustainable, intelligent production systems.
Research Areas
1
Ventilation System
- The ventilation system is the primary mediator for transfer of temperature, humidity, CO₂, ammonia, and internal airflow.
- Development of a CFD Simulation Model for Aerodynamic Analysis of Greenhouse and Pig House
- Analysis of Aerodynamic Environmental Conditions in Greenhouse and Broiler House
- Measurement of Internal Environmental Conditions and Estimation of the Actual Ventilation Airflow through Field Experments and PIV (Particle Image Velocimetry)
2
Energy System
Rising energy costs make efficient smart farm management essential.
- Development of a Crop Energy Regression Model and Validation of Building Energy Simulation (BES)
- Conduct BES simulations for Conventional Greenhouse and Livestock Houses
- Analysis of energy flows in livestock manure CHP (Combined Heat and Power) systems
3
Structural Stability
Development of newly modified greenhouse design standards for wind loads is required to ensure the safe greenhouse design.
- Evaluation of wind pressure coefficients for various agricultural facilities through wind tunnel tests
- Evaluation of wind pressure coefficients for greenhouses using a CFD validation model
- Greenhouse structural design standards
4
Applied Research
Expanding the scope of research through convergence with diverse fields, such as AI integration and VR simulation.
- AI model development for prediction of greenhouse gas in pig house
- Development of using PINN for real-time flow analysis
- Development of VR simulator for experience in aerodynamic environment
- Development of Digital Twin Simulator for smart greenhouse and pig house
