Abstract
T otal A mmonia N itrogen (TAN) , which occurs due to various reasons especially
fish defecation and death, is crucial for life and bring about death of living creatures. Therefore, it is very important to reduce the amount of TAN in water and it is called as Nitrification process. In a system inhabited by living organisms, even a very low amount of TAN can have fatal consequences. For this reason, it is very important that the system responds to the requirement with pinpoint accuracy.
Design validation gains meaning by evaluating the designed system in terms of Computational Fluid Dynamics (CFD). Within the scope of this evaluation, after deciding on the final three designs with validation, prototypes were manufactured, and the error margin of the validation part was evaluated as verification.
Within the scope of the study, the dimensioning of the system depending on the biological load was created and structured with the approaches in the literature. Life Cycle Inventory Assessment (LCIA) and Life Cycle Cost Assessment (LCCA) studies on the MBBR unit to ensure the principle of eco-design were structured during the design phase and optimization studies on the system were carried out in this way within the scope of sizing.
The aim of the study is to produce a user-friendly technology that complies with the eco-design directive, is environmentally friendly and has low energy consumption compared to its counterparts. With the result obtained in this context, it has been confirmed with experimental results that water consumption is reduced by 90%, the loss of nitrification bacteria is minimized, and the nitrification process is carried out in a quality manner. The margin of error of CFD and experimental studies was obtained as 3.4%.
Keywords: N itrification, moving bed biomedia reactor (MBBR) , modeling, computational fluid dynamics, optimization, aquaculture .