Electronic Theses and Dissertations
Identifier
2520
Date
2015-11-25
Document Type
Dissertation (Campus Access Only)
Degree Name
Doctor of Philosophy
Major
Engineering
Concentration
Civil Engineering
Committee Chair
Charles Camp
Committee Member
Stephanie Ivey
Committee Member
Larry Moore
Committee Member
Dale Armstrong
Abstract
Activated Sludge Model 1 (ASM1) is a set of 13 ordinary differential equations that can be used to simulate the performance of an activated sludge treatment system in terms of carbon and nitrogen removal. The purpose of this research is to calibrate the kinetic parameters of ASM1 for biological treatment in an oxidation ditch activated sludge system using a Big Bang-Big Crunch optimization algorithm. Completely stirred tank reactors (CSTRs) in series are used to model the hydraulics of the ditch. The results show that 17 CSTRs in series could be used to model the hydraulics of the ditch. Since wastewater circulation velocity in the ditch affects wastewater detention times, it was directly measured in the field as a function of number of surface aerators in operation. A queueing mechanism was devised to model detention times for CSTRs in series during dynamic simulation. Influent wastewater was characterized based on plant data and typical characterization fractions reported in the literature. Newton-Raphson method is used to reduce the computational time to find steady state solutions. An integration step size of 25 seconds is shown to be satisfactory for dynamic simulation. Finally, ASM1 kinetic parameters are selected to minimize the difference between simulated and observed values for TSS, BOD5, NH3-N, and suspended solids in the ditch effluent.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Pezeshk, Parsa, "Calibration of Activated Sludge Model 1 Kinetic Parameters for Simulation of Collierville NW Treatment Plant Oxidation Ditch Using Big Bang-Big Crunch Optimization Algorithm" (2015). Electronic Theses and Dissertations. 2309.
https://digitalcommons.memphis.edu/etd/2309
Comments
Data is provided by the student.