Development and test verification of air temperature model for Chinese solar and Spainish Almeria-type greenhouses

作者:Antonio Sanchez-Molina, Jorge; Li Ming*; Rodriguez, Francisco; Luis Guzman, Jose; Wang Hui; Yang Xinting
来源:International Journal of Agricultural and Biological Engineering, 2017, 10(4): 66-76.
DOI:10.25165/j.ijabe.20171004.2398

摘要

Growth can be defined as an increment in biomass or an increment in weight or height of the organs of the plant influenced by physiological processes. Many of these processes have their limits genetically determined, but climate and irrigation play an important role. Because of its importance, microclimate has been extensively studied in the modeling as a surrounding condition which is imposed by the exterior climate. The main objective of this work was to develop a temperature model based on the energy balance dynamics at two different greenhouse locations - South - eastern Spain and Northern China, and the traditional structures of Chinese solar greenhouse and Almeria-type multi-span greenhouse were taken into account. The final model was developed by combining the external conditions, the actuator influence and the crop growth, where the temperature is influenced by soil, crop, cover, actuators, back wall and greenhouse geometry. The model took into account the energy lost by convective and conductive fluxes, as well as the energy supplied by solar radiation and heating systems. The soil and the back wall are the main media for energy storage. The temperature dynamic was determined by a physical model, which considered the energy balance from a holistic point of view - as a sub-model for a customizable interface among the external climate, the plant and the greenhouse system. The influences of different subsystems included in the temperature model were analyzed and evaluated. The results showed a high R-2 value of 0.94 for Beijing and 0.95 for Almeria, and the average error was low, of which the MAE and RMSE were 0.71 and 1.365 for Almeria and 0.62 and 1.102 for Beijing, respectively. Thus, the model can be considered as a powerful tool for control design purposes in microclimate systems.

  • 出版日期2017-7

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