Author
Listed:
- Xiuguo Zou
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Siyu Wang
(School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)
- Yan Qian
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Fei Gong
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Shixiu Zhang
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Jiangxue Hu
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Wenchao Liu
(College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China)
- Yuanyuan Song
(College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)
- Shikai Zhang
(College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)
- Jiawei Meng
(Department of Mechanical Engineering, University College London, London WC1E 7JE, UK)
- Xinfa Qiu
(School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)
Abstract
Poultry breeding is one of the most significant components of agriculture and an essential link of material exchange between humans and nature. Moreover, poultry breeding technology has a considerable impact on the life quality of human beings, and could even influence the survival of human beings. As one of the most popular poultry, broiler has a good economic benefit due to its excellent taste and fast growing cycle. This paper aims to improve the efficiency of raising broilers by understanding the impact of ammonia concentration distribution within a smart broiler breeding chamber, and the rationality of the system’s design. More specifically, we used computational fluid dynamics (CFD) technology to simulate the process of ammonia production and identify the characteristics of ammonia concentration. Based on the simulation results, the structure of the broiler chamber was reformed, and the ammonia uniformity was significantly improved after the structural modification of the broiler chamber and the ammonia concentration in the chamber had remained extremely low. In general, this study provides a reference for structural optimization of the design of broiler chambers and the environmental regulation of ammonia.
Suggested Citation
Xiuguo Zou & Siyu Wang & Yan Qian & Fei Gong & Shixiu Zhang & Jiangxue Hu & Wenchao Liu & Yuanyuan Song & Shikai Zhang & Jiawei Meng & Xinfa Qiu, 2022.
"Study of Ammonia Concentration Characteristics and Optimization in Broiler Chamber during Winter Based on Computational Fluid Dynamics,"
Agriculture, MDPI, vol. 12(2), pages 1-17, January.
Handle:
RePEc:gam:jagris:v:12:y:2022:i:2:p:182-:d:735739
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Citations
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Cited by:
- Mengxi Li & Xiuguo Zou & Bo Feng & Xinfa Qiu, 2023.
"Use of Computational Fluid Dynamics to Study Ammonia Concentrations at Pedestrian Height in Smart Broiler Chamber Clusters,"
Agriculture, MDPI, vol. 13(3), pages 1-16, March.
- Yiting Yin & Ailin Diao & Ziyi Li & Qi Wang & Shuguang Liu, 2023.
"Design of an Automatic Ground Cleaning Machine for Dedusting Rooms of Chicken Houses,"
Agriculture, MDPI, vol. 13(6), pages 1-22, June.
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