Open AccessFLUENT Simulation Design and Optimization of Biological Aerated Filter
Author(s) -
Shuqin Wang,
Zhiqiang Zhang,
Ning Wang,
Wei Zhao,
Chun-Gang Yuan
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2148/1/012037
Subject(s) - aeration , fluent , filter (signal processing) , filler (materials) , ammonia , nitrogen , particle size , denitrification , particle (ecology) , chemistry , materials science , process engineering , environmental science , chemical engineering , computer simulation , computer science , composite material , simulation , engineering , organic chemistry , ecology , computer vision , biology
In this paper, a small biological aerated filter for experimental use was designed, and a method was explored to optimize the nitrogen removal efficiency by using FLUENT software to simulate the particle size of the filler, the amount of the filler, the initial concentration of ammonia nitrogen, dissolved oxygen and other operating parameters. Through the simulation experiment, the optimal design parameters of the particle size of filler, the amount of filler, the initial concentration of ammonia nitrogen and the dissolved oxygen of the biological aerated filter are 4mm, 60%, 15% and 1.5%, respectively, when the removal efficiency of ammonia nitrogen exceeds 30% reported in the literature. It provides a reference for the experimental research and practical application of biological aerated filter (BAF) denitrification.