Conceptual design and simulation of a modular wastewater treatment and biogas generation system / by Carlo B. Galicia.

By: Galicia, Carlo B [author.]
Language: English Description: 234 leaves : color illustrations; 28 cmContent type: text Media type: unmediated Carrier type: volumeSubject(s): Water -- Purification | Sewage -- PurificationDDC classification: 628.162 Dissertation note: Theses (MA) Cebu Institute of Technology University, College of Engineering and Architecture, October 2021. Abstract: This thesis explores the design and simulation of modular wastewater treatment and biogas extraction systems for domestic wastewater treatment and recycling. Using Python with the application of the GEKKO package in the Jupyter Notebook environment, it was possible to estimate the optimal processing times and conditions in each SBR stage. For the digester, this also included determining the concentrations of biogas components such as methane, carbon dioxide, and hydrogen. Seven (7) trials were done for the SBR (based on varying treatment conditions for the fill and react stages). The best performance was observed in Trial 8, which was composed of a 3-hour anaerobic fill, a 2.4-hour aerobic primary react phase, and a 2.4-hour anaerobic secondary react phase. Three (3) scenarios were studied for the anaerobic digester, corresponding to 7, 14, and 28-day treatment durations. The highest volume of biogas generated was from the 28-day scenario at 14.23 L. The seven-day scenario produced the biogas with the highest energy density at 21528 kJ/cu.m., with succeeding treatment times exhibiting a reduction in energy density. The composition of the biogas produced was 60.30%. A recommendation of this study would be to conduct an experimental trial, where a micro-scale pilot will be built to simulate conditions during wastewater treatment. This method also allows the quantity and energy density of the biogas produced to be validated. Keywords: SBR, biogas, modular, Python, GEKKO, wastewater treatment, simulation  
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Theses (MA) Cebu Institute of Technology University, College of Engineering and Architecture, October 2021.

This thesis explores the design and simulation of modular wastewater treatment and biogas extraction systems for domestic wastewater treatment and recycling. Using Python with the application of the GEKKO package in the Jupyter Notebook environment, it was possible to estimate the optimal processing times and conditions in each SBR stage. For the digester, this also included determining the concentrations of biogas components such as methane, carbon dioxide, and hydrogen.
Seven (7) trials were done for the SBR (based on varying treatment conditions for the fill and react stages). The best performance was observed in Trial 8, which was composed of a 3-hour anaerobic fill, a 2.4-hour aerobic primary react phase, and a 2.4-hour anaerobic secondary react phase. Three (3) scenarios were studied for the anaerobic digester, corresponding to 7, 14, and 28-day treatment durations. The highest volume of biogas generated was from the 28-day scenario at 14.23 L. The seven-day scenario produced the biogas with the highest energy density at 21528 kJ/cu.m., with succeeding treatment times exhibiting a reduction in energy density. The composition of the biogas produced was 60.30%.
A recommendation of this study would be to conduct an experimental trial, where a micro-scale pilot will be built to simulate conditions during wastewater treatment. This method also allows the quantity and energy density of the biogas produced to be validated.

Keywords: SBR, biogas, modular, Python, GEKKO, wastewater treatment, simulation
 

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