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APPLICATION OF COMPUTATIONAL FLUID DYNAMICS ON A STUDY OF PIG HOUSE ODOUR DISPERSION
Authors: Cristina Decano, In-bok Lee, Uk-hyeon Yeo, Sang-yeon Lee, Jun-Gyu Kim, Se-Jun Park, Young-bae Choi, Jeong-hwa Cho, Hyo-hyeog Jeong
Identifier: CSBE21655
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » 4th international Symposium on Gas Emissions and Dust from Livestock (EMILI)
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Description: The odour dispersion modeling has been popular due to its importance in analyzing the impact of odour pollutants on humans and the environment. Most of the previously developed models were based on Gaussian dispersion theory which was commonly used in industrial odour dispersion. However, this model has limitations such as low resolution and time scale problem. Moreover, the Gaussian dispersion models have difficulties in integrating the topographical condition resulting in less accurate calculation result especially in areas with complex terrain. To supplement these limitations, this study aimed to develop a computational fluid dynamics (CFD) based model to predict odour dispersion of Korean pig house with complex terrain and to identify which among the factors (ventilation type, atmospheric condition, wind speed, and wind direction) greatly influenced the dispersion of odour. The developed three-dimensional CFD model was validated by comparing the field-measured data with the CFD-computed results. A scenario analysis was performed at various environmental factors that affect odour dispersion using vectors and contours. The calculated results for each scenario were used for statistical analysis to evaluate the impact on environmental variables. The calculated odour dispersion distance ranged from 129.7 m to 1488.1m. The calculated odour dispersion distance and odour concentration can significantly vary depending on the scenario being analyzed. From the statistical analysis, the most influential factor that affects odour dispersion was the wind speed followed by atmospheric stability, ventilation type and wind direction with t-values of -5.581, -3.927, -3.822, and -0.569 respectively.
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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: 4th international Symposium on Gas Emissions and Dust from Livestock (EMILI) 2 - Measuring methods and Modeling
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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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Other files:
DOI:
Description: The odour dispersion modeling has been popular due to its importance in analyzing the impact of odour pollutants on humans and the environment. Most of the previously developed models were based on Gaussian dispersion theory which was commonly used in industrial odour dispersion. However, this model has limitations such as low resolution and time scale problem. Moreover, the Gaussian dispersion models have difficulties in integrating the topographical condition resulting in less accurate calculation result especially in areas with complex terrain. To supplement these limitations, this study aimed to develop a computational fluid dynamics (CFD) based model to predict odour dispersion of Korean pig house with complex terrain and to identify which among the factors (ventilation type, atmospheric condition, wind speed, and wind direction) greatly influenced the dispersion of odour. The developed three-dimensional CFD model was validated by comparing the field-measured data with the CFD-computed results. A scenario analysis was performed at various environmental factors that affect odour dispersion using vectors and contours. The calculated results for each scenario were used for statistical analysis to evaluate the impact on environmental variables. The calculated odour dispersion distance ranged from 129.7 m to 1488.1m. The calculated odour dispersion distance and odour concentration can significantly vary depending on the scenario being analyzed. From the statistical analysis, the most influential factor that affects odour dispersion was the wind speed followed by atmospheric stability, ventilation type and wind direction with t-values of -5.581, -3.927, -3.822, and -0.569 respectively.
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: 4th international Symposium on Gas Emissions and Dust from Livestock (EMILI) 2 - Measuring methods and Modeling
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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