Closed greenhouse systems allow micrometeorological conditions to be optimised for both energy saving and high quality yields. However, micrometeorological parameters need to be accurately monitored as a response to daily environmental conditions changes. A Computational Fluid Dynamics (CFD) model was developed to predict the distribution of temperature, water vapour and CO2 occurring in a Venlo-type semi-closed glass greenhouse equipped with air conditioners. Sensible and latent heat fluxes in the crop rows were included in the model along with radiation through a Discrete Ordinates (DO) model. A model for photosynthesis was also included to predict the evolution of the CO2 concentrations inside the greenhouse. Comparisons between simulated and measured values showed a good agreement for temperature and humidity. Good agreement was found also between simulated and experimental CO2 concentration values determined during a sunny summer day. Simulations were also performed to investigate the vertical distribution of temperature and humidity for two different Leaf Area Density (LAD) values (2.95 m−1 and 5.9 m−1) and for different arrangements of the air conditioners. Simulation results showed that tall canopies, with high LAD, simultaneously induce a stronger cooling of the interior air. They also enhance temperature stratification providing a substantial decrease at canopy level. Lower suction also enhances stratification of the interior air.
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