Food Engineering Progress (산업식품공학)

Korean Society for Industrial Food Engineering (한국산업식품공학회)
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Weight Loss Prediction by Operating Conditions of CA Storage

CA저장고의 작동 환경에 따른 감모율 예측

  • Park, Chun Wan (Division of Postharvest Engineering, National Institute of Agricultural Sciences) ;
  • Park, Seok Ho (Division of Postharvest Engineering, National Institute of Agricultural Sciences) ;
  • Kim, Jin Se (Division of Postharvest Engineering, National Institute of Agricultural Sciences) ;
  • Choi, Dong Soo (Division of Postharvest Engineering, National Institute of Agricultural Sciences) ;
  • Kim, Yong Hun (Division of Postharvest Engineering, National Institute of Agricultural Sciences) ;
  • Lee, Su Jang (Division of Postharvest Engineering, National Institute of Agricultural Sciences)
  • 박천완 (국립농업과학원 농업공학부) ;
  • 박석호 (국립농업과학원 농업공학부) ;
  • 김진세 (국립농업과학원 농업공학부) ;
  • 최동수 (국립농업과학원 농업공학부) ;
  • 김용훈 (국립농업과학원 농업공학부) ;
  • 이수장 (국립농업과학원 농업공학부)
  • Received : 2017.07.03
  • Accepted : 2017.08.18
  • Published : 2017.11.30
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Abstract

Weight loss that influences quality and farmer incomes is affected by the storage environment of agricultural products. The interior of storage should be maintained at high humidity to prevent the weight loss of products which contain a lot of moisture. The research had constantly proceeded with change in the heat exchanger surface areas, humidity systems, and weight loss forecast to maintain high humidity within storage. Relative humidity that exerts an effect weight loss of crop is influenced by storage temperature, leak state, and volume of product. When weight loss is predicted, different conditions of these factors are derived. In case of CA storage, ways of forecasting the weight loss become easier compared to cold storage due to sealed storage with external environment during storage period. In this study, apples were stored in purge-type CA storage and weight loss has been predicted by using operating characteristics and environmental conditions. As a result, humidity variation in the storage fluctuates with the operation of the unit-cooler. Furthermore, unit-cooler operation factor is influenced by outside temperature and respiration heat. Prediction value of weight loss according to temperature and humidity has been most accurately predicted. Prediction value through defrosting water measured shows unit-cooler work quality. K-value needs verification to calculate the VPD method.

감모율에 영향을 주는 인자를 파악하고 온습도 변화, 제상수, VPD방법을 이용해 감모율을 예측하였으며 실제 감모율과 비교분석을 진행하였다. 저장고 내부의 습도변화를 이용하여 예측한 결과 질소주입과정보다 유닛쿨러의 운전과정에서 발생하는 응축 결상 수분배출 과정이 지배적인 영향을준다. 또한 온습도를 이용한 감모율 예측방법이 실제 감모율과 가장 근사값을 나타냈다. 제상수를 이용해 예측한 결과 감모량은 유닛쿨러의 운전율이 높아질수록 많아졌으며 온습도를 이용한 예측방법보다 운전특성에 따른 감모율 변화가 더 뚜렷하게 나타났다. 이때 유닛쿨러의 운전율은 외기온도와 비례하였으며, 저장고 내부에서 응축된 수분량의 계측이 어렵기 때문에 실제 감모율과 오차가 발생한 것으로 보인다. VPD를 이용한 감모율 예측은 증산계수(K-value)의 영향이 지배적이며, 보고되어진 본 연구에서 이용한 후지사과의 증산계수값(42)에 대한 검증이 필요하다. 본 연구에서 후지사과의 K-value를 30으로 수정하였을 때 가장 근사한 예측값을 계산할 수 있었다.

Keywords

Acknowledgement

Supported by : 농촌진흥청, 국립농업과학원

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