الفهرس 
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Abstract
This thesis focuses on modelling and simulation of Wastewater Treatment Plants (WWTPs) via
three modelling techniques as follows:
1- A Mathematical modeling technique describing 130 Ordinary Differential Equations ODEs
of biochemical reactions using MATLAB software by generating M-file + SIMULINK to
simulate Activated Sludge Model No.1 (ASMI) coupled to a one-dimensional settler model
in COST (European Cooperation in the field of Scientific and Technical Research)
simulation benchmark, that is developed for carbon and nitrogen removal. Furthermore, a
Control strategy based on continuous PI-controllers with Anti-Windup Capability to control
Dissolved Oxygen (DO) and Nitrate levels in the plant was presented to achieve the objective
of meeting the more stringent effluent quality regulation and saving energy. Additionally, a
Fuzzy Logic Control (FLC) was introduced using Fuzzy Logic Toolbox!MATLAB graphical
user interface (GUI) tools to control the levels of ammonia in the reactors with minimum
aeration energy consumption.
2- Creating an Artificial Neural Network (ANN) algorithm structure with a Feed-Forward
Back-Propagation to predict the performance of EL-AGAMY WWTP in terms of Chemical
Oxygen Demand (COD), Biochemical Oxygen Demand (BOD) and Total Suspended Solids
(TSS) for data gathered over a one-year period. It is (),~served that the ANN can predict the
plant performance with correlation coefficient (R) between the observed and predicted output
variables reached up to 0.90. Therefore, ANN provides an effective analyzing and diagnosing
tool to understand and simulate the non-linear behavior of the WWTPs, and is used as a
valuable performance assessment tool for plant operators and decision makers
3- Modeling and Simulation of German BIOGESTIEL-AGAMY Sequencing Batch Reactor
(SBR) using a GPS-X simulator (Hydromantis, 2003) which is considered as a package
software to investigate the plant performance among six different scenarios of fill, react, and
settle phases as a case study. The ASMI model was used for biological processes and the
BOD-based influent model for influent characterization. This case study presents the rule of
denitrification process to remove nitrates and nitrites which is known to be eutrophic, toxic
for aquatic animals, hazardous to human health as well as inhibit phosphorus removal during
activated sludge treatment. Also, denitrification process provide’s a selector operation to
prevent filamentous sludge bulking that is considered a major problem in EL-AGAMY
WWTP, as well as decreases the overall aeration energy of the batch cycle time
The gathered data during the research were analyzed statistically by DFITTOOL toolbox!
MATLAB and One Way Analysis of Variance ANOVAI to generate an overview of the plant
performance over a one-year period. Additionally, the correlation between influent COD and
BOD was formulated by Basic Fitting too liMA TLAB as: COD =1.1 * BOD + 160.