摘要 : This work is a new approach in the validation of CFD simulations of the distributed greenhouse climate. The validation procedure carried out comprises the characterisation of temperature patterns of a one-span empty greenhouse in ... 展开 This work is a new approach in the validation of CFD simulations of the distributed greenhouse climate. The validation procedure carried out comprises the characterisation of temperature patterns of a one-span empty greenhouse in summer weather conditions through high spatial resolution temperature measurements. It also comprises a parametric study of 32 simulations of the same simplified case varying the factors: grid, solver precision, wind profile, turbulence model and convergence criterion. And finally, it consists of the comparison between measured data and each one of the simulation results. Our results revealed that main differences among simulations depend on grid quality, structured vs. hybrid mesh, and on turbulence model, standard k- epsilon vs. RNG k- epsilon models. Differences were evaluated in terms of simulation convergence. Climate heterogeneity was determined by standard deviations of distributed temperature. Hence, the difference on temperature standard deviations between measured and simulated data was chosen for comparisons. An analysis of the variance of this parameter against the five factors of the previous parametric study of the simulation confirmed the importance of the grid quality. It also highlighted the consistency of simulation results (represented by standard deviation differences) when a logarithmic wind profile is set as velocity inlet at the beginning of the computational domain with respect to solver precision (3 d and 3 ddp). 收起