대한건축학회논문집:구조계 (Journal of the Architectural Institute of Korea Structure & Construction)

  • 제36권3호
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  • Pages.169-176
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  • 2020
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  • 1226-9107(pISSN)
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  • 2384-1788(eISSN)
대한건축학회 (Architectural Institute of Korea)
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드레스룸 표면 결로 발생 예측 모델 개발 - 노달 모델과 데이터 기반 모델 -

Development of Prediction Models of Dressroom Surface Condensation - A nodal network model and a data-driven model -

  • 투고 : 2019.11.18
  • 심사 : 2020.02.21
  • 발행 : 2020.03.30
⟨ 이전 논문 다음 논문 ⟩

초록

The authors developed a nodal network model that simulates the flow of moist air and the thermal behavior of a target area. The nodal network model was enhanced using a parameter estimation technique based on the measured temperature, humidity, and schedule data. However, the nodal model is not good enough for predicting humidity of the target space, having 55.6% of CVRMSE. It is because re-evaporation effect could not be modeled due to uncertain factors in the field measurement. Hence, a data-driven model was introduced using an artificial neural network (ANN). It was found that the data-driven model is suitable for predicting the condensation compared to the nodal model satisfying ASHRAE Guideline with 3.36% of CVRMSE for temprature, relative humidity, and surface temperature on average. The model will be embedded in automated devices for real-time predictive control, to minimize the risk of surface condensation at dressroom in an apartment housing.

키워드

과제정보

연구 과제 주관 기관 : 국토교통부

본 연구는 국토교통부 주거환경연구사업의 연구비지원(20RERP-B082204-07)에 의해 수행되었습니다.

참고문헌

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