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2020 Vol.14, Issue 2 Preview Page

Research Article

Verification of Thermal Environment and THI Prediction Equation of Hen House by Field Measurement and Model-based Simulation

실측 및 모델베이스 계산을 통한 계사의 온열환경파악 및 THI 예측식 개발

Ju-Wan Ha1
,
Hong-Hee Chang2
,
Kwang-Jun Cha3
,
Young-Hak Song4*
하 주완1
,
장 홍희2
,
차 광준3
,
송 영학4*
1Graduate student, Graduate School, Department of Architectural Engineering, Gyeongsang National University
2Professor, Department of Animal Science, Gyeongsang National University
3Graduate student, Graduate School, Division of Applied Life Science(BK21Plus), Gyeongsang National University
4Associate professor, Department of Architectural Engineering, ERI, Gyeongsang National University
1경상대학교 대학원 건축공학과 대학원과정
2경상대학교 축산학과 교수
3경상대학교 대학원 응용생명과학부(BK21Plus)대학원과정
4경상대학교 건축공학과 부교수
* Corresponding Author
30 April 2020. pp. 208-219
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Abstract

The heat waves cause heat stress to livestock thereby degrading productivity and increasing the mortality rate. Thus, this study aims to identify the thermal environment of hen house through on-site measurements and depending on ventilation type to increase the efficiency of management of the laying house during severely hot weather by deriving a Temperature and Humidity Index (THI Index) prediction equation from the viewpoint of productivity. To do this, this study comparatively analyzed the exposure risk level to the heat stress of layers according to the ventilation method in the hen house using the THI, which was an index to quantitatively evaluate heat stress, for 26 summer days. In addition, the laying house in this study were modeled through simulations. The simulation results exhibited the highest reliability values under 25°C inside the cage and an 85.7% fan operating rate in the case of the cross ventilation method, which had 0.46 of mean bias error (MBE) and 10.58 coefficient of variation of the root mean square error (CVRMSE), while the tunnel ventilation method had 1.14 MBE and an 8.64 CVRMSE with temperature values under 27°C inside the cage, and a 100% fan operating rate. Since the above conditions were found for a simulated target building, the calculated values were utilized to derive the prediction equation. The regression analysis results showed that the coefficients of determination, which displayed the reliability of the correlation between THI and the outdoor air temperature and between THI and enthalpy, which were 0.9328 and 0.5149 respectively in the case of the cross ventilation method and 0.9551 and 0.6044 respectively in the case of the tunnel ventilation method.

Keywords
Hen house
Laying house
Smart farm
THI Index
Simulation
Measured data

키워드
계사
산란계사
스마트 팜
온습도지수
온열환경
시뮬레이션
실측데이터
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 14
  • No :2
  • Pages :208-219
  • Received Date : 2020-03-13
  • Revised Date : 2020-04-07
  • Accepted Date : 2020-04-13
  • DOI :https://doi.org/10.22696/jkiaebs.20200019
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