Model-Based Optimum Design of Sequencing Batch Reactors for COD and Nitrogen Removal from a Slaughterhouse Wastewater

Abstract

A dynamic model of the activated sludge process was used to analyze and optimize the operation of an SBR treating slaughterhouse wastewater. The existing treatment cycle (duration of fill, aeration, mix, decanting and wasting periods) was found to be inadequate for meeting effluent requirements under a number of different loading scenarios. Modelling analysis indicated that the aeration phase was too long and the settling phase too short. Simulation of a new SBR cycle operation, in which the superfluous time in the aeration phase was distributed to the settling phase and a new anoxic phase, confirmed that the unit could meet the stringent effluent requirements. Using an iterative approach, optimal cycle settings were determined for each of the loading and temperature scenarios investigated.

Dynamic Modelling and Simulation of Citric Acid Production from Dilute Acid Hydrolysed Corn Starch Using Aspergillus Niger

“…These models upon calibration and validation will provide insights as to how the process functions, changes in operating procedure and how amenable it is to control [8,9].The usefulness of a dynamic mathematical model in analysing complex processes cannot be over emphasized. simulation of processes leads to process economics, design, operation and control while model predictions identify optimal design and operational parameters and this consequently leads to the maximisation of the system's performance [10,11] In this work, the concept of dynamic behaviour of process systems and how a formulated model can be used to predict the behaviour of a process is presented. The case considered for investigation was the production of citric acid from acid and enzyme hydrolysed corn starch using Experimental data from batch fermentation of citric acid was analysed in order to develop a model that can replicate the experimental data.…”

Modelling and Simulation of Citric Acid Production from Corn Starch Hydrolysate Using Aspergillus Niger

“…Dynamic modelling and simulation of processes leads to vast improvements in process economics, design, operation and control (Lee, Wang & Newell, 1997). Model predictions also make it possible to identify optimal design and operational parameters and this consequently leads to the maximisation of the system's performance (Andres, Hu, Snowling & Schraa, 2006).…”

Mathematical Correlations of the Variable Parameters Specific for an SBR Experimental Laboratory Plant

“…For an SBR plant, the biological tank is the main element of the system. The treatment process is divided into five phases: filling, reaction, settling, discharge of treated water and sludge [10][11][12][13][14][15][16][17][18][19][20][21][22].…”

“…In the cases of lower variable inflows, the mechanical-biological treatment process is directly by several factors (wastewater temperatures, chemical composition). Also, it is known that, SBR process efficiency depend by operation time cycle and who the working parameters can counterbalance the problems introduced in the system by qualitative and quantitative inflow variation [10][11][12][13][14][15][16][17][18][19][20][21][22].…”

“…In some researches SBR modeling process were performed by taken into consideration some important parameters and how these interact [10][11][12][13][14][15][16][17][18][19][20][21][22].…”