Dave Stropky, Paul Nowak, Suqin Dong
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Dave Stropky, Paul Nowak, Suqin Dong Process Simulations Ltd. Konstantin Pougatch, Martha Salcudean University of British Columbia PowerPoint PPT Presentation


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Dave Stropky, Paul Nowak, Suqin Dong Process Simulations Ltd. Konstantin Pougatch, Martha Salcudean University of British Columbia P.S. Pagoria, W.A. Barkley, C.W. Bryant Weyerhaeuser Paper Company. CFD Predictions in Large Mechanically Aerated Lagoons. Contents. Introduction

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Dave Stropky, Paul Nowak, Suqin Dong Process Simulations Ltd. Konstantin Pougatch, Martha Salcudean University of British Columbia

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Contents 1212474

Dave Stropky, Paul Nowak, Suqin Dong

Process Simulations Ltd.

Konstantin Pougatch, Martha Salcudean

University of British Columbia

P.S. Pagoria, W.A. Barkley, C.W. Bryant

Weyerhaeuser Paper Company

CFD Predictions in LargeMechanically Aerated Lagoons


Contents

Contents

  • Introduction

  • Aerated Lagoon CFD Model

    • Lagoon Hydraulics

    • RTD Predictions

    • Biological Model

  • Application

    • Weyerhaeuser Grande PrairieIndustrial Application

  • Conclusions


Contents 1212474

Introduction


Introduction

Introduction

Motivation:Improvement of lagoon performance through a deeper understanding of the hydraulics. Development of Residence Time Distribution (RTD) curves without dye studies.

Goal:Develop a 3-D Computational Fluid Dynamics (CFD) hydraulic model of a large aerated industrial lagoon.


Introduction1

Introduction

Performance Factors

Incorporated in Model

  • Basin shape

  • Inflow rate and position

  • Aerators: Number, position, HP

  • Baffles/Curtains

  • Sludge accumulation profile

  • Biology


Contents 1212474

Aerated Lagoon

CFD Model


Aerated lagoon geometry

Aerated Lagoon Geometry

Inlets

Aerators

Baffles

Outlet

CFD Grid


Bottom sludge profiles

Bottom Sludge Profiles

Measurement

Data

Surface Generation

Algorithm


Rtd prediction methods

RTD Prediction Methods

MeanAge

Particlevs.Dye


Biological model

Biological Model

Aeration


Biological model1

Biological Model

Throttled by DO (both) and PO4 (growth)

Rate Equations


Contents 1212474

Applications


Weyerhaeuser grande prairie

Weyerhaeuser Grande Prairie

Grande Prairie is a >850,000 m3, two cell lagoon 5.29m deep (18ft) with an operating water depth of 4.57m (15ft) when clean. Cell 1 is 326m x 323m, and cell 2 is 326m x 312m. Cell 2 has two flow baffles. The 1997 volume flow rate is 622 l/s from the south inlet, and the 2005 flow is 632 l/s from the north inlet. Each floating aerator is 75HP and circulates 1286 l/s of liquid. The 1997 configuration has 25 aerators (18 in cell1 and 7 in cell2). The 2005 configuration has 27 aerators (19 in cell 1 and 8 in cell 2).


2005 hydraulic flowfield

2005 Hydraulic Flowfield

Vertical magnification x10


1997 grande prairie field study comparison

1997 Grande Prairie Field Study Comparison

Model sludge profile estimated.

Unknown at time of dye study.


Grande prairie aerator optimization

Grande Prairie Aerator Optimization

Initial

Optimized


Biological model2

Biological Model


Biological model3

Biological Model


Conclusions

Conclusions

  • A three dimensional CFD model has been developed for predicting detailed hydraulic performance (including RTD curve prediction) in large mechanically aerated lagoons.

  • Using this model, wastewater engineers can combine their existing knowledge and expertise with the established power of CFD. The operation of an existing aerated lagoon can be fully analyzed over a range of operational parameters (aerator numbers, positions, and capacities; baffle installation; influent flowrate and location; bottom sludge profile, etc.) without running field dye studies. The method constitutes an efficient and powerful tool for improving lagoon performance and optimizing lagoon


Conclusions1

Conclusions

  • A simplified aerobic biological model has been developed and coupled into the hydraulic CFD model. Through this coupling, three dimensional variation and evolution of the biological processes can be predicted within the lagoon. Prediction of BOD removal is a natural consequence of the three dimensional interplay (including deposition and feedback) between bacteria solids, BOD, and nutrients, and also of the dissolved oxygen supplied through individual aerators. Initial results show promise and provide a pathway towards a deeper understanding of the wastewater treatment in these lagoons.


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