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DYNAMIC ENERGY MODELLING FOR PREDICTING THE INTERNAL ENVIRONMENT OF POULTRY HOUSES
Authors: Sangyeon Lee, Uk-Hyeon Yeo, Se-Jun Park, Cristina Decano, Young-bae Choi, Jun-Gyu Kim, Jeong-hwa Cho, Hyo-hyeog Jeong, In-bok Lee
Identifier: CSBE21919
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions
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Description: Due to the influence of climate change, the number of heat wave days in South Korea has been gradually increasing in recent years. Mortality rates due to excessive high temperature have increased in livestock farms. In particular, poultry are densely reared inside the breeding facility, it is more vulnerable to excessive high temperature than other livestock. To analyse and cope with high temperature stress of poultry, accurate prediction of the internal environment of poultry houses is required. However, few quantitative analyses of these environments have been performed. The objective of this study was to develop a dynamic energy model for expecting the internal environment of poultry houses. To develop the energy model, the internal and external environments were first monitored via field experiments. According to the environmental data measured in the field experiments, the dynamic energy model of poultry house was developed using building energy simulation (BES). The BES model was validated by comparison of the BES-computed and field-measured data of the air temperature and relative humidity. The results showed errors of 1.71% and 4.33% for the air temperature and relative humidity, respectively. Finally, the validated BES model of the poultry house was used to analyse the high-temperature stress of the poultry house in summer.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Animal Systems 2 - Animal Welfare and Biosecurity
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Type: Text.Abstract
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Publication type: Presentation
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Coverage: Korea, Republic of (South Korea)
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
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DOI:
Description: Due to the influence of climate change, the number of heat wave days in South Korea has been gradually increasing in recent years. Mortality rates due to excessive high temperature have increased in livestock farms. In particular, poultry are densely reared inside the breeding facility, it is more vulnerable to excessive high temperature than other livestock. To analyse and cope with high temperature stress of poultry, accurate prediction of the internal environment of poultry houses is required. However, few quantitative analyses of these environments have been performed. The objective of this study was to develop a dynamic energy model for expecting the internal environment of poultry houses. To develop the energy model, the internal and external environments were first monitored via field experiments. According to the environmental data measured in the field experiments, the dynamic energy model of poultry house was developed using building energy simulation (BES). The BES model was validated by comparison of the BES-computed and field-measured data of the air temperature and relative humidity. The results showed errors of 1.71% and 4.33% for the air temperature and relative humidity, respectively. Finally, the validated BES model of the poultry house was used to analyse the high-temperature stress of the poultry house in summer.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Animal Systems 2 - Animal Welfare and Biosecurity
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Korea, Republic of (South Korea)
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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