Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An improved 1D reactive Bürger–Diehl settler model for secondary settling tank denitrification
An improved 1D reactive settler model is pursued in order to increase the understanding of reactive settling processes and obtain a better prediction of the nitrogen mass balance in wastewater treatment systems. The developed model is based on the 1D Bürger–Diehl settler model with compression function and the Activated Sludge Model No. 1 biological reactions. Specific attention was paid in the model development phase to optimal selection of settling velocity functions and integration of the correct clarifier geometry. A unique measurement campaign was carried out with different operational scenarios to quantify the denitrification in a secondary settling tank. A detailed step‐wise calibration effort demonstrated that by choosing an appropriate settling velocity function (power‐law structure) and considering the true clarifier geometry allows to accurately capture the biomass concentration profile, total sludge mass, sludge blanket height, and the reaction rates. The resulting model is able to accurately describe total suspended solids (TSS) and nitrate concentration profiles throughout a settling tank under different operational conditions. As such the model can be applied in further scenario analysis and system optimization. A unique measurement campaign was carried out to obtain detailed data for a reactive settler model development. A 1‐D reactive settler model is developed based on the Bürger–Diehl framework including ASM1 biokinetics and the clarifier geometry. An extensive calibration and model selection effort was performed. The model accurately predicts measured concentration profiles in the settling tank. The developed model can be integrated in a plant‐wide model to properly calculate the nitrogen mass balance of a WRRF.
An improved 1D reactive Bürger–Diehl settler model for secondary settling tank denitrification
An improved 1D reactive settler model is pursued in order to increase the understanding of reactive settling processes and obtain a better prediction of the nitrogen mass balance in wastewater treatment systems. The developed model is based on the 1D Bürger–Diehl settler model with compression function and the Activated Sludge Model No. 1 biological reactions. Specific attention was paid in the model development phase to optimal selection of settling velocity functions and integration of the correct clarifier geometry. A unique measurement campaign was carried out with different operational scenarios to quantify the denitrification in a secondary settling tank. A detailed step‐wise calibration effort demonstrated that by choosing an appropriate settling velocity function (power‐law structure) and considering the true clarifier geometry allows to accurately capture the biomass concentration profile, total sludge mass, sludge blanket height, and the reaction rates. The resulting model is able to accurately describe total suspended solids (TSS) and nitrate concentration profiles throughout a settling tank under different operational conditions. As such the model can be applied in further scenario analysis and system optimization. A unique measurement campaign was carried out to obtain detailed data for a reactive settler model development. A 1‐D reactive settler model is developed based on the Bürger–Diehl framework including ASM1 biokinetics and the clarifier geometry. An extensive calibration and model selection effort was performed. The model accurately predicts measured concentration profiles in the settling tank. The developed model can be integrated in a plant‐wide model to properly calculate the nitrogen mass balance of a WRRF.
An improved 1D reactive Bürger–Diehl settler model for secondary settling tank denitrification
Kirim, Gamze (Autor:in) / Torfs, Elena (Autor:in) / Vanrolleghem, Peter A. (Autor:in)
01.12.2022
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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