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Theses and dissertations (Engineering and Built Environment)

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Subject: search.filters.subject.Effluent quality--South Africa

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    Chemical oxygen demand (COD) fractionation for process modelling considerations and optimization
    (2021-03) Jwara, Thandeka Yvonne Sthembile; Musonge, Paul; Bakare, Babatunde F.
    Wastewater treatment is a critical chain in the urban water cycle. Wastewater treatment prevents the toxic contamination of water bodies. The notable consequences of contamination are the loss of aquatic life, upsurge of eutrophication due to nutrient overload, and potential loss of human life as a result of waterborne diseases. Wastewater works (WWW) are therefore an intrinsic component of protecting the urban water cycle and ensuring that water resources are preserved for future generations. The operation of a WWW is subject to compliance with the national legislative requirements imposed by the Department of Water and Sanitation (DWS) to ensure the preservation of water resources. These requirements oblige water and sanitation departments to employ innovative design, control and optimization of WWW. Wastewater modelling packages have presented the opportunity to simulate the wastewater treatment processes in order to maintain and sustain legal compliance with the DWS. The successful implementation of a simulation package for wastewater process optimization and modelling depends on an accurate characterization also known as fractionation of the organic fractions of the WWW influents. This thesis is a result of a comprehensive study reported for Darvill wastewater work. Darvill WWW is a 60 ML/D plant which has been receiving flows of up to 120 ML/D. The importance of the study was to motivate for the upgrade of the wastewater work to account for the increased hydraulic, organic and nutrient loading into the plant. The study looked at the application of the World Engine for Simulation and Training (WEST) and all studies required to generate data that will serve as input with the understanding the current state of Darvill WWW in terms of performance. The study presents the fractionation outcomes of the primary wastewater effluent organic matter as chemical oxygen demand (COD) and the performance by assessing the biological nutrient removal process (BNR) using BNR efficiencies in addition to the development of the Darvill WWW WEST model with the aid of the probabilistic fractionator. The fractionation was achieved through the oxygen uptake rate experiments using the respirometry method. Experiments yielded the following results: biodegradable COD (bCOD) (70.5%) and inert COD (iCOD) (29.5%) of the total COD. Further characterization of the bCOD and iCOD yielded the readily biodegradable fraction (SS) at 75%, slowly degradable (XS) at 25%, particulate inert (XI) was 50.8% and the inert soluble SI at 49.2%. The COD fractions were used and served as input to the development and evaluation of the Darvill WEST model. Calculations of BNR efficiencies were used to evaluate the effects of high inflow to the biological treatability of the activated sludge for the period September 2016 - November 2017. It was found that at inflows above design capacity, the nutrient removal efficiency reduced from an expected 80-90% to an average of 40% with an average soluble reactive phosphorus (SRP) removal efficiency being 64%. A data input file for the period of January – June 2016 was created to serve as input into WEST to develop a baseline average model for the Darvill WWW plant. The model results predicted a mixed liquor suspended solids (MLSS) concentration of 6475 mg/L for the plant during the study period this was comparable with the plant MLSS concentration of 6700 mg/L at the time which was above the design concentration of 4500 mg/L. This was largely due to the plant operating under nutrient overload conditions. The final effluent (FE) concentration in the defractionation model was found to be COD = 41.28 mg/L, ammonia (NH3) = 22.02 mg/L, Total Suspended Solids (TSS) = 32 mg/L, SRP = 2.16 mg/L. Most of these results were expectedly non-compliant to the discharge limits imposed by the DWS with the exception of COD. The plant FE measurements were COD = 45.1 mg/L, NH3 = 3.4 mg/L, TSS = 20.9 mg/L, SRP= 6.67 mg/L. The COD and TSS prediction were comparable to the model prediction however there were limitations in the models ability to predict NH3 and SRP. The model does not account for changes in dissolved oxygen (DO) and temperature as these parameters are kept constant for the purpose of this study. The model assumes a temperature of 20 oC and a DO concentration of 2 mg/L for the aerobic reactor, 0.01 mg/L for the anaerobic reactor and 0.1 mg/L for the anoxic reactor. The model assumes that with the nutrient overload, oxygen compensation occurs within the reactor to maintain a constant DO concentration within the units. This limits the model in the prediction of actual instance where the overload would deplete the DO and where other competing reactions would give rise to greater non-compliances as well as biological growth’s impairment due to cold weather conditions.
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    The use of photocatalytic degradation to improve the quality of crude refinery effluent
    (2018) Naidoo, Dushen Bisetty; Rathilal, Sudesh
    Water plays a fundamental role in sustaining life on Earth. Water is largely used by industries to support their processes and utilities. Through growing industrialisation, each year more and more wastewater is generated and the demand for water rises rapidly. The incorrect and unsustainable use of water is placing a great strain on the South African water supply. Much emphasis is now being placed on industries re-using and treating their effluent and wastewater. Of recent, government has placed stringent specifications for industrial effluent quality and industry find it difficult to continuously improve their effluent quality to be within acceptable limits. Crude refineries are major contributors to wastewater, producing effluent comprising largely of Oil, grease and hydrocarbon. Much focus is placed on finding alternate means of wastewater treatment to assist with the removal of oil and hydrocarbon contaminants. More effluent treatment processes need to be explored to ensure industries operate in a sustainable manner and do not place unnecessary strain on the South African water supply. Photocatalytic degradation is a wastewater treatment technique that has drawn a lot of attention in the last decade. This is an Advanced Oxidation Process (AOP) which involves the production of a hydroxyl radical (OH-) which is then used for the degradation of organic contaminants. The degradation converts the organic pollutants into CO2 and H2O. A synthetic crude refinery effluent was developed and underwent the photocatalytic degradation process. The catalyst concentration was varied at 2 g/L, 5 g/L and 8 g/L. The oxidation reaction took place over time intervals of 30, 60 and 90 minutes and aeration to the reaction vessel was supplied at 0.768 L/min, 1.11 L/min and 1.48 L/min. This photodegradation took place under UV light conditions. The degradation process was conducted with the aim of evaluating the degradation of oil and phenol in crude refinery effluent. Sulphates were also monitored to observe if an effect was noticed. Design of Experiment (DOE) involved the development of experimental run matrices for a multilevel factorial design, Central Composite Design (CCD) and Box-Behnken Design (BBD) model. Randomized runs were then conducted as per the design matrix for each model. Model verification and evaluation was then conducted and the best suited degradation models were selected. It was observed that the best fitted model for the degradation of oil in water was the BBD. The best design model for phenol degradation was the CCD. Throughout the photocatalytic degradation process, it was noted that no change took place with the sulphates. The models were then optimised to determine the optimum degradation conditions. This was carried out using Response Surface Methodology (RSM) techniques. The CCD model yielded a combined oil and phenol degradation of 71.5%. This occurred at a catalyst concentration of 2.07g/L, a run time of 90 minutes and an air flow rate of 0.768L/min. The BBD model produced a combined oil and phenol degradation of 68%. This took place at a catalyst concentration of 2 g/L, a run time of 30 minutes and an air flow rate of 1.04 L/min. pH were monitored throughput the degradation process and both these models yielded output products within the stipulated pH band. The testing of a local crude refinery effluent was conducted using the CCD and BBD optimum conditions. When using the CCD optimum conditions degradation of 76.98% and 84.21% was observed for both oil and phenol respectively. The BBD optimum conditions yielded a degradation of 83.33% for oil and 78.95% for phenol. This indicated that the photocatalytic process can be considered for degrading crude refinery effluent as its products met the specifications of municipal industrial waste water. The above results clearly indicate a positive outcome for the treatment method of photocatalytic degradation on the synthetic crude refinery effluent. This technique can therefore be further explored when considering crude effluent treatment and the treatment advantages should be used by all industries to improve effluent quality and allow for more sustainable and environmentally friendly operations.