Journal of Bio-Environment Control (생물환경조절학회지)

The Korean Society for Bio-Environment Control (한국생물환경조절학회)
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Predictive Model of Micro-Environment in a Naturally Ventilated Greenhouse for a Model-Based Control Approach

자연 환기식 온실의 모델 기반 환기 제어를 위한 미기상 환경 예측 모형

  • Hong, Se-Woon (Division of M3-BIORES (Measure, Model & Manage Bioresponses), Department of Biosystems, KU Leuven) ;
  • Lee, In-Bok (Department of Rural Systems Engineering, Seoul National University)
  • 홍세운 (루벤대학교 바이오시스템학부 M3-BIORES) ;
  • 이인복 (서울대학교 지역시스템공학과)
  • Received : 2014.08.12
  • Accepted : 2014.08.20
  • Published : 2014.09.30
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Abstract

Modern commercial greenhouse requires the use of advanced climate control system to improve crop production and to reduce energy consumption. As an alternative to classical sensor-based control method, this paper introduces a model-based control method that consists of two models: the predictive model and the evaluation model. As a first step, this paper presents straightforward models to predict the effect of natural ventilation in a greenhouse according to meteorological factors, such as outdoor air temperature, soil temperature, solar radiation and mean wind speed, and structural factor, opening rate of roof ventilators. A multiple regression analysis was conducted to develop the predictive models on the basis of data obtained by computational fluid dynamics (CFD) simulations. The output of the models are air temperature drops due to ventilation at 9 sub-volumes in the greenhouse and individual volumetric ventilation rate through 6 roof ventilators, and showed a good agreement with the CFD-computed results. The resulting predictive models have an advantage of ensuring quick and reasonable predictions and thereby can be used as a part of a real-time model-based control system for a naturally ventilated greenhouse to predict the implications of alternative control operation.

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References

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