논문 상세보기

CFD를 이용한 유리온실 내부 환경 예측 모델 개발 및 검증 KCI 등재

Development and Validation of Inner Environment Prediction Model for Glass Greenhouse using CFD

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/396831
구독 기관 인증 시 무료 이용이 가능합니다. 4,000원
생물환경조절학회지 (Journal of Bio-Environment Control)
한국생물환경조절학회 (The Korean Society For Bio-Environment Control)
초록

Because the inner environment of greenhouse has a direct impact on crop production, many studies have been performed to develop technologies for controlling the environment in the greenhouse. However, it is difficult to apply the technology developed to all greenhouses because those studies were conducted through empirical experiments in specific greenhouses. It takes a lot of time and cost to develop the models that can be applicable to all greenhouse in real situation. Therefore studies are underway to solve this problem using computer-based simulation techniques. In this study, a model was developed to predict the inner environment of glass greenhouse using CFD simulation method. The developed model was validated using primary and secondary heating experiment and daytime greenhouse inner temperature data. As a result of comparing the measured and predicted value, the mean temperature and uniformity were 2.62°C and 2.92%p higher in the predicted value, respectively. R2 was 0.9628, confirming that the measured and the predicted values showed similar tendency. In the future, the model needs to improve by applying the shape of the greenhouse and the position of the inner heat exchanger for efficient thermal energy management of the greenhouse.

목차
Abstract
서 론
재료 및 방법
    1. 해석대상 온실
    2. 실험 방법
    3. 모델 정립
    4. 검증 방법
결과 및 고찰
적 요
Literature Cited
저자
  • 정인선(강원대학교 농업생명과학대학 바이오시스템공학과) | In Seon Jeong (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 이충건(강원대학교 농업생명과학대학 바이오시스템공학과) | Chung Geon Lee (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 조라훈(강원대학교 농업생명과학대학 바이오시스템공학과) | La Hoon Cho (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 박선용(강원대학교 농업생명과학대학 바이오시스템공학과) | Sun Yong Park (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 김민준(강원대학교 농업생명과학대학 바이오시스템공학과) | Min Jun Kim (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 김석준(강원대학교 농업생명과학대학 바이오시스템공학과) | Seok Jun Kim (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
  • 김대현(강원대학교 농업생명과학대학 바이오시스템공학과) | Dae Hyun Kim (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university) Corresponding author