Energy Modeling
GREENHOUSE_EFFICIENCY // THERMAL_DYNAMICS
Smart Climate Control
Optimizing the energetic footprint of controlled environment agriculture (CEA). Through HPC-powered Computational Fluid Dynamics (CFD) and light-field calculations, operational costs are reduced by up to 30% while maximizing photosynthetic rates.
[CO2_EMISSIONS]: -18.2%
[THERMAL_STABILITY]: 99.1%
[GRID_SYNC]: ACTIVE (RENEWABLE_PRIORITY)
HPC Simulation Scope
Precise energetic control requires massive parallel processing power to solve complex heat transfer and fluid equations:
- CFD AIRFLOW TURBULENCE MODELING
- SPECTRAL RADIOSITY SIMULATION
- MODEL PREDICTIVE CONTROL (MPC)
- TRANSPIRATION & LATENT HEAT FLUX
- THERMAL BRIDGE ANALYSIS (Finite Element Method)
Leading Research Institutions
NREL
National Renewable Energy Laboratory. Leading research in the energy-water-food nexus and agrivoltaics systems.
Wageningen University (WUR)
Global leader in "Greenhouse Horticulture," specializing in energy-efficient greenhouse designs and climate modeling.
Fraunhofer ISE
The Institute for Solar Energy Systems, pioneering agrivoltaic modeling to combine dual-use land for food and power.
University of Arizona (CEAC)
The Controlled Environment Agriculture Center, focusing on physics-based modeling for vertical farming and hydroponic energy loops.