@article{(Open Science Index):https://publications.waset.org/pdf/10013498,
	  title     = {Aeration Optimization in an Activated Sludge Wastewater Treatment Plant Based on CFD Method: A Case Study},
	  author    = {Seyed Sina Khamesi and  Rana Rafiei},
	  country	= {},
	  institution	= {},
	  abstract     = {The extensive aeration process is widely used for wastewater treatment. However, due to the high energy consumption of this process, which is closely related to the issues of environmental sustainability and global climate change, this article presents a simple solution to reduce energy consumption in this process. The amount of required energy is one of the critical considerations for various wastewater treatment techniques. For this purpose, an industrial wastewater treatment plant and all energy-consumer equipment in terms of energy consumption have been analyzed. The investigations and measurements revealed that the aeration unit has the highest energy consumption rate. To address this, an innovative approach is proposed to reduce energy consumption in the identified high-consumer unit. The proposed solution involves introducing baffles to divide the tank into multiple parts and using a tank with a small width and long length to enhance the mixing process. This approach reduces the need for additional equipment and significantly lowers energy consumption. To thoroughly scrutinize the proposed solution and analyze the behavior of the multi-phase fluid inside the tank, the sewage flow has been modeled using the computational fluid dynamics (CFD) method. The study presents an optimal design for the aeration unit based on these findings. The results indicate that implementing the technique suggested in this article can decrease total energy consumption by 33.15% and can be applied to all types of biological treatment plants.},
	    journal   = {International Journal of Energy and Environmental Engineering},
	  volume    = {18},
	  number    = {2},
	  year      = {2024},
	  pages     = {22 - 30},
	  ee        = {https://publications.waset.org/pdf/10013498},
	  url   	= {https://publications.waset.org/vol/206},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 206, 2024},
	}