الفهرس | Only 14 pages are availabe for public view |
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. |