| dc.description.abstract | Aeration systems often consume a significant portion of the total energy utilized in wastewater treatment plants (WWTPs). Therefore, optimizing the aeration process is essential to improve overall plant efficiency, reduce operational costs, and minimize environmental impact.
In this study, the wastewater parameters (COD, TSS, TDS and Total Nitrogen) were obtained from Hariss International Ltd Effluent Treatment Plant with the assistance and supervision of the employee in-charge. The results were obtained in a full-scale bioreactor located at the Hariss International Limited WWTP, where a nitrogen removal based on a nitrification–denitrification process was being tested. It has been shown that the crucial parameter to ensure a complete removal of COD and nitrogen was to give the system a long time of on–off aeration to complete both the nitrification and the denitrification processes,
The wastewater parameters obtained were fed in a simulation run such that the obtained results were being tested again in the WWTP. The industrial data used to perform the analysis was obtained from Hariss International Limited wastewater treatment plant located In Kawempe along Mperewe-Tula road and hence the corresponding data is collected from the plant. Data includes influent flow rate, influent pollutants, effluent pollutants, and aeration process parameters. The effluent quality parameters were determined using the available methods used at the plant. The experiment was majorly hands on and also computational efforts applied.
It was observed that the Effluent Quality (EQ) index was decreasing as the number of cycle increased. Using 6 cycles a day (i.e. 6 air-on and 6 air-off periods) an effluent load of 426 kg/d and an aeration energy consumption of 541kWh/d was reached. Increasing the number of cycles up to 12 per day, the effluent load reduced to 408 kg/d while the energy consumption of the aeration also decreased somewhat, down to 501 kWh/d.
In conclusion, In order to validate the results achieved with this optimization method, further investigations should be carried out both for pilot-scale and full-scale treatment plants. | en_US |
