E-Andrew Sindt Creative Component S11.pdf

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include 24-hour composite samples taken over a two week period and analyzed for an array ofwastewater parameters. Examples of wastewater parameters to analyze include influent COD, filteredCOD, flocculated and filtered COD, cBOD 5 , filtered cBOD 5 , VSS, TSS, TKN, NH 3 -N, NO 3 — N, Total P, solublereactive P, and alkalinity as well as effluent filtered COD. Grab samples should also be taken on anhourly or bi-hourly basis during the same two week sample collection period (Melcer et al., 2003).4.2 Sensitivity Analysis4.2.1 Regular mode Sensitivity AnalysisThe sensitivity data was analyzed on two levels. First, the percent variation in effluent parametersbetween the adjusted simulator parameter run and the default simulator parameter run were calculatedand graphed. Next, the predicted effluent parameter values for each simulation run in which asimulation parameter was adjusted were compared to the observed effluent parameter values and thepercent error was calculated and graphed for each.4.2.1.1 Ordinary Heterotrophic Organism (OHO) YieldThe heterotrophic yield is the mass of biomass produced (g) per mass of substrate consumed (g). Morespecifically, the BioWin user manual describes OHO yield as the, “Amount of biomass COD producedusing one unit of readily biodegradable complex substrate COD. The remaining COD is oxidized”(EnviroSim, 2010). Substrate (i.e., carbon source) can be used by microorganisms for biomassproduction (synthesis) or for energy to feed metabolism (see Figure 4.3). Aerobic microorganismmetabolism requires oxygen input which serves as the terminal electron acceptor in the energyproducing chemical reactions. Cell synthesis requires energy and carbon but also requires nutrientssuch as N and P. These nutrients are taken from the soluble wastewater substrate and incorporatedinto the newly formed cells. When the biomass is wasted, the nutrients contained in the cells areremoved from the tank. Consider the formula C 12 H 87 O 23 N 12 P as representative of biomass. This means12.2g of nitrogen and 2.3 g of phosphorus are required for every 100 g of biomass produced(Tchobanoglous et al., 2003). A higher yield value means that the biomass produces a greater amountof new cells per gram substrate, and thereby consumes more nutrients per gram substrate consumed.Conversely, when the yield value is reduced, fewer nutrients will be required per gram substrate utilizedbecause fewer new cells are being produced. The substrate is instead consumed for metabolism ratherthan for cell synthesis.Figure 4.3 - Heterotrophic bacteria metabolism (adapted from Tchobanoglous et al., 2003)44
Percent deviation from effluent value at defaultThe simulator output indicates that the heterotrophic (OHO) yield parameter had a significant effect onthe largest number of monitored effluent parameters (Figure 4.4). Effluent parameters that changed bygreater than 30% as a result of changes in the OHO yield simulator parameter include TN, TP, NH 3 -N,NO 3 - -N, and cBOD. The largest percent change of these effluent parameters was by NO 3 - -N with anincrease of 182% in effluent concentration for a 60% decrease in the OHO yield parameter.200150100TNTPNH3-NcBODNO3-N500-50-100-150-80 -60 -40 -20 0 20 40 60 80Percent adjustment of OHO yieldFigure 4.4 - Heterotrophic (OHO) yield sensitivity plot for regular mode (0% represents default OHOyield value)Figure 4.5 compares predicted effluent concentrations at varying percent adjustments of OHO yield withobserved concentrations in the form of a percent deviation value. This shows the corrective power thatOHO yield has on the four sensitive effluent parameters. It is possible to fully correct either NO 3 - -N or TPeffluent concentrations by adjusting OHO yield. The value of OHO yield that corrects effluent NO 3 - -Nconcentration over-predicts the effluent TP concentration (predicts greater removal of P than wasobserved). This indicates that other simulator parameters need to be adjusted in order to effectivelycalibrate the simulator.Although effluent NH 3 -N concentration appeared to be sensitive to changes in OHO yield value (Figure4.4), the relative magnitude of the changes in effluent NH 3 -N concentrations are not effective in thecalibration of the predicted to observed values (Figure 4.5).45
Page 1 and 2: Prediction of nutrient removal with
Page 3 and 4: Table of ContentsList of Figures ..
Page 5 and 6: 3.9 Effect of COD Fractions .......
Page 7 and 8: List of FiguresFigure 2.1- Biomass
Page 9 and 10: Figure AI.14- D.O. set point itiner
Page 11 and 12: Table AI.1- Influent specifier inpu
Page 13 and 14: Chapter 1: Introduction1.1 Importan
Page 15 and 16: Chapter 2: Literature Review2.1 Nut
Page 17 and 18: has a very low cBOD concentration a
Page 19 and 20: dissolved oxygen (D.O.) at a suffic
Page 21 and 22: Denitrification using biomass decay
Page 23 and 24: Figure 2.7- Phoredox process (Rittm
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Page 27 and 28: used model is the Activated Sludge
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Page 31 and 32: 3.1 Wastewater Treatment Plant Desc
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Page 44 and 45: Chapter 4 Results and Discussion4.1
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Page 64 and 65: Table 4.10- BNR-S2 colder (15.7 o C
Page 66 and 67: Table 4.13- Width adjustment effect
Page 68 and 69: Percent removala linear trend from
Page 70 and 71: Chapter 5: Conclusion5.1 SummaryBio
Page 72 and 73: Chapter 6: ReferencesAlleman, J.E.,
Page 74 and 75: Libra, R. D., Wolter, C. F., and La
Page 76 and 77: Appendix IBioWin Simulation Setup74
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Page 82 and 83: Figure AI.9 - SBR operation page fo
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Page 92 and 93: Sum absolute value of percent devia
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Appendix IIIMonthly Monitoring Repo
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DAYIrrig.1000'sGPDInfluentNH3-Nmg/L
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