科研之友
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摘要
The whole information of greenhouse micro-climate environment could be fully explained with Computational Fluid Dynamics (CFD) numerical analysis, whose advantages were shown by previous studies, while many input parameters of the current CFD simulation model were fixed and unchanged along early experimental results. It will be created a significant error with invariant input parameters values to predict the real-time dynamic system, which hinder seriously the simulation and prediction for the complex dynamic greenhouse environment. In this paper, the principle of Dynamic Data Driven Application System (DDDAS) was introduced exploringly. The CFD simulation model driven with the dynamic data using real-time online monitoring the greenhouse thermal environment was established. And taken the North China type multi-span greenhouse covered double polyethylene for a case, it was used to simulate the airflow and temperature characteristics of greenhouse under many conditions. The simulation results had the high accuracy (error area is 4.0-9.7%) but lowered the measured value. The results show that: the airflow field in the planting area was presented a wave-type distribution. Under shading net of greenhouse opened, the temperatures were increased gradually form the center line between the wet curtain and fan to the around along with the direction of airflow movement, which presented a parabola type. While under inner shading net of greenhouse opened with a small slit at the edge, the temperatures under shading net were uniform, but the local high temperature region was presented at the top of mid-span greenhouse for the existence of two vortexes in opposite direction at the top of both sides span. And the CFD simulation results were applied to establish the scheme of optimal sensor placement.
- 出版日期2011-6
- 单位北京农业职业学院; 中国农业大学
