E-Andrew Sindt Creative Component S11.pdf

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AbstractIn an effort to minimize negative environmental effects caused by point source nutrient loadings, newnumeric limits on effluent nitrogen (N) and phosphorus (P) concentrations are under review by severalstates. Current efforts for developing and implementing efficient, reliable, and cost effective treatmenttechnologies for biological nutrient removal (BNR) have moved towards the use of models to predictprocess operations and effluent quality. This paper investigates the use of a process simulator to predicteffluent concentrations of a sequencing batch reactor (SBR) process. The investigation includes asensitivity analysis, calibration of two different SBR modes, analysis of COD fractions effects on effluentconcentrations, and analysis of cycle phase duration variation effects on total nitrogen (TN) and totalphosphorus (TP) removal efficiencies. Sensitive simulator parameters were adjusted to reduce variationof predicted effluent concentrations to observed values. Simulator was successfully calibrated for theBNR-S1 mode, however, efforts were unsuccessful in reducing deviation of effluent TN and NO 3 - -Nconcentrations to within 20% of observed values. COD fractions were found to have a greater influenceon effluent concentrations of calibrated runs than default runs. Cycle phase duration variation analysisfound improved nutrient removal efficiencies for increasing anaerobic and anoxic phase lengths. Theoptimum cycle sequence of anaerobic/anoxic/oxic was found to be 140/90/40 minutes, respectively.
Table of ContentsList of Figures ..................................................................................................................................... 5List of Tables ...................................................................................................................................... 8List of Equations ................................................................................................................................. 10Chapter 1: Introduction ..................................................................................................................... 111.1 Importance of Point Source Reductions ............................................................................ 111.2 Modeling Biological Nutrient Removal (BNR).................................................................... 111.3 Report Objectives .............................................................................................................. 12Chapter 2: Literature Review ............................................................................................................. 132.1 Nutrient Removal in Wastewater Treatment Plants ......................................................... 132.1.1 Nitrogen Removal ....................................................................................................... 132.1.2 Phosphorus Removal................................................................................................... 132.2 Biological Nutrient Removal (BNR) ....................................................................................... 142.2.1 Nitrogen Removal ....................................................................................................... 142.2.1.1 Biomass Storage and Decay .............................................................................. 152.2.1.2 Classical Predenitrification ................................................................................ 162.2.1.3 Simultaneous Nitrification and Denitrification ................................................. 162.2.1.4 Barnard Process ................................................................................................. 172.2.1.5 Sequencing Batch Reactor (SBR) ....................................................................... 182.2.2 Phosphorus Removal................................................................................................... 192.2.2.1 EBPR with Classical Predenitrification ............................................................... 202.2.2.2 Bardenpho Process ............................................................................................ 212.2.2.3 EBPR in SBRs ...................................................................................................... 212.3 Previous SBR Work ................................................................................................................ 222.3.1 General SBR Process for BNR ...................................................................................... 221
Page 1: Prediction of nutrient removal with
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
Page 25 and 26: increased the mean volatile fatty a
Page 27 and 28: used model is the Activated Sludge
Page 29 and 30: conditions included a discrete fill
Page 31 and 32: 3.1 Wastewater Treatment Plant Desc
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Page 35 and 36: Effluent 7.2 35 7.8 3.5 0.8 0.8 1.9
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Percent deviaton in value (model-ob
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Percent deviation in value (modelob
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4.2.2.2 Aerobic P/PHA uptake and P/
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Calibrated simulator parameters for
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Sum absolute value of percent devia
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Absolute value of percent deviation
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Table 4.10- BNR-S2 colder (15.7 o C
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Table 4.13- Width adjustment effect
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Percent removala linear trend from
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Chapter 5: Conclusion5.1 SummaryBio
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Chapter 6: ReferencesAlleman, J.E.,
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Libra, R. D., Wolter, C. F., and La
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Appendix IBioWin Simulation Setup74
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Figure AI.2 - Influent specifier fr
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Figure AI.5 - Influent specifier fr
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Figure AI.9 - SBR operation page fo
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Figure AI.13 - SBR operation page f
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Appendix IISelected BioWin Simulati
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Table AII.1- Percent deviation from
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Table AII.2- Percent deviation from
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Sum absolute value of percent devia
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AOB and NOB maximum specific growth
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Appendix IIIMonthly Monitoring Repo
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DAYIrrig.1000'sGPDInfluentNH3-Nmg/L
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D RAIN- SETT. RECYCLE Irrig.1000' I
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D RAIN- SETT. RECYCLE Irrig.1000' I
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