Migrating Guelph Wastewater s Data Monitoring Program to a Web-Based Reporting System:

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Diane Preston
8 years ago
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Co-Authors Dennis Mutti, Jason Low Eramosa Engineering Tom Robertson, Gerald Atkinson, Jim Lilley City of Guelph

1 Migrating Guelph Wastewater s Data Monitoring Program to a Web-Based Reporting System: Turning Data Into Meaningful Information Standards Certification Education & Training Publishing Conferences & Exhibits Presenter Tom DeLaura Co-Authors Dennis Mutti, Jason Low Eramosa Engineering Tom Robertson, Gerald Atkinson, Jim Lilley City of Guelph Wastewater Services 2013 ISA Water / Wastewater and Automatic Controls Symposium August 6-8, 2013 Orlando, Florida, USA

2 About Your Speaker Tom DeLaura, P.E. Vice President, Eramosa Engineering Tom s work for the Detroit Water & Sewerage Department placed him in sewers right out of university as DWSD constructed innovative monitoring and control facilities for wastewater collection, storm water management, and sewage treatment. Tom saw firsthand how important it is to understand wastewater industry trends, so that automation can best support addressing them. Tom s career has focused on fostering collaborative work environments that influence and comprehend industry best practices, enhance performance, enable wellinformed decision making, and utilize human and automation resources to produce optimum results. His active roles at the local and national levels of WEF and AWWA are prime examples of his dedication to the industry, and give him a true appreciation for the need to keep automation relevant during the many challenges and changes the wastewater industry is facing. Contact: tom.delaura@eramosa.com 2

facilities for wastewater collection, storm water management, and sewage treatment.

3 Presentation Outline About Guelph Wastewater Treatment Plant Introduction: Scoping The Problem Developing a Solution Specific Example Plan Moving Forward 3

4 Guelph WWTP 4

5 Guelph WWTP Plant Overview City of 125,000 - discharges into Speed River Very limited assimilative capacity in river Some of the most stringent effluent criteria in the industry Regulated by Ontario Ministry of the Environment (MOE) Optimized performance is critical For more information visit: 5

industry Regulated by Ontario Ministry of the Environment (MOE) Optimized performance

6 Presentation Outline About Guelph Wastewater Treatment Plant Introduction: Scoping The Problem Developing a Solution Specific Example Plan Moving Forward 6

7 Guelph WWTP Existing Reporting Tools The Data Management Program (DMP) Result of a CPE, CIP process Many Years in Development Series of Excel Work Books VBA Macros Data Sources SCADA LIMS Calculated Data Daily Process Settings Reporting Manually Entered Process Lab Measurements 7

of Excel Work Books VBA Macros Data Sources SCADA LIMS Calculated

8 Guelph WWTP Motivations for Change Why Change Existing Tool, Served its Purpose Well, However Limited Development Skills Change Bottleneck Succession Complex Hierarchy of Multiple Excel Files Susceptible to Renaming & Moved File Errors Manual Data Updating LIMS updating issue stale data No Audit Trail Limited Graphical User Interface (GUI) Options 8

Multiple Excel Files Susceptible to Renaming & Moved File Errors Manual Data Updating

9 Guelph WWTP Motivations for Change The Challenge GUI linked to approximately 25 workbooks with multiple worksheets in each 21 common databases 2250 data points SCADA LIMS Manual Process and Lab Calculated For Daily Set-Points Historical Reporting Process Constraints Ontario Ministry of the Environment (MOE) Certificate of Approval (CofA) Constraints 9

LIMS Manual Process and Lab Calculated For Daily Set-Points Historical Reporting Process

10 Presentation Outline About Guelph Wastewater Treatment Plant Introduction: Scoping The Problem Developing a Solution Specific Example Plan Moving Forward 10

11 New Reporting Platform Written Migration Plan Implement Web-Based Reporting Tagging Secure Link Corporate to SCADA Historian LIMS Data Link Auditable Data Entry Forms and Mobile Data Entry Auditable Calculations Daily Process Settings Storage and Retrieval For Reporting Report Narratives, Development & Implementation 11

Entry Forms and Mobile Data Entry Auditable Calculations Daily Process Settings

12 The Solution: A Better Way Data Identification Existing, Worksheet and Cell Location New Tag-centric, SCADA Tags Remain Plant 2 Plant Area 3 Process Area 4 Process Stream 5 Capacity, Rate, Set-Point, Selection, Analyte 6 Data Type (LIMS, Manual Process Lab, Calculated, etc, ) 12

2 Plant Area 3 Process Area 4 Process Stream 5 Capacity, Rate, Set-Point,

13 Presentation Outline Introduction: Scoping The Problem Developing a Solution Specific Example Plan Moving Forward 13

14 Example Solids Tracking & Modelling 1 Solids Control Plant Solids Mass Balance Primary and Secondary Solids Control Inputs Total Solids Measured LIMS weekly Estimated Process Lab daily using centrifuge Primary Core, Raw Sludge, Aeration Core, Final Clarifier Core, Return Sludge (6 samples per plant side 40 to 48 daily) This is called a spin sample with a spin number 14

daily using centrifuge Primary Core, Raw Sludge, Aeration Core, Final Clarifier Core, Return

15 Example Solids Tracking & Modelling 2 Day and Lab Raw Solids Concentration LIMS.WTPL1-PRIERAWSTS-L E.WTPL1-PRIERAWSTS-C (Measure Weekly (WED) in QC Lab or Estimated) 2.0% Solids Conc. TS=20/10=2.0% Spin (Meaured Daily in Process Lab) E.WTPL1- PRIERAWSVOLP Spin Ratio (Calculated) E.WTPL1- PRIERAWSRTOC Spin Ratio Rolling Average (Calculated) TAG IS NOT REQUIRED. Day 1 QC and 20 10=20/2 ( )/4=10 (assumes last 3 were 10) Process Day 2 Process TS=15/10=1.5% 15 Not No need to Update Calculated Day 3 Process TS=20/10=2.0% 20 Not No need to Update Calculated Day 4 Process TS=15/10=1.5% 15 Not No need to Update Calculated Day 5 - Process TS=20/10=2.0% 20 Not No need to Update Calculated Day 6 - Process TS=15/10=1.5% 15 Not No need to Update Calculated Day 7 Process TS=20/10=2.0% 20 Not No need to Update Calculated Day 8 QC and 3.0% Solids Conc. 15 5=15/3 ( )/4=8.75 Process TS=15/8.75=1.71% Day 9 Process TS=20/8.75=2.29% 20 Not No need to Update Calculated TS = total solids 15

Day 1 QC and 20 10=20/2 (10+10+10+10)/4=10 (assumes last 3 were 10) Process Day 2 Process TS=15/10=1.5% 15 Not No need to Update Calculated Day 3 Process TS=20/10=2.

16 Example Solids Tracking & Modelling 3 Inputs Daily Plant Flows - SCADA SRT & Basin Volumes Manual Input Constants Daily Dewatering Flows SCADA Dewatering Solids LIMS Land Applied Volumes Land Filled Volumes 16

Constants Daily Dewatering Flows SCADA Dewatering

17 Example Solids Tracking & Modelling 4 Outputs Mass and Volumetric Flows Mass Accumulation Digesters, Composting Daily Predicted Sludge Wasting Masses and Volumetric Flow Set-Points These are entered into SCADA to control pumping These are then recaptured by web-based platform for reporting 17

Masses and Volumetric Flow Set-Points These are entered into SCADA to

18 Digesters Mass Balance 18

19 Waste Sludge from Presses (for disposal) Report 19

20 Waste Sludge (for Disposal) Removal Reports 20

21 Report Narrative Solids Tracking: Page 1 of 3 flow chart 21

22 Report Narrative Solids Tracking: Page 2 of 3 Pseudo code 22

23 Report Narrative Solids Tracking: Page 3 of 3 flow chart 23

24 Reporting QA/QC Checks DMP = Data Management Program 24

25 Reporting Spin Ratio DMP = Data Management Program Spin Ratio = a ratio of Raw vs. Digested Sludge conc. 25

26 Primary & Secondary Mass Control To Dewatering Primary Clarifier 1E (Primary Core Spin) Calculate Primary Solids Conc. (mg/l) Calculate Primary Solids Mass (kg) Qest Qest Primary Clarifier 1W Predict Volumetric Flow Primary Sludge To Digester Flow (Primary Sludge Spin) Calculate Primary Sludge Solids Set Primary Solids Retention Time Calculate Volume of Primary Sludge to Waste Aeration 1E (Mixed Liquor Spin) Digester Calculate Aeration Concentration (mg/l Calculate Solids Mass (kg)aeremlsskg-c USE SRT of 1 Day Which is a constant Aeration 1W Final Clarifier 1E (Final Clarifier Core Spin) Calculate Final Clarifier Conc (mg/l) Calculate Solids Mass (kg) Final Clarifier 1W RAS (Return Sludge Spin) Calculate Concentration Qest TWAS Predict WAS Volumetric Flow To Rotating Biological Filters Target Mass (Target Mass is mass to be retained in aeration tanks plus clarifiers) Calculate Total Mass in Clarifier in service and aeration tanks Mass to waste = total mass target mass + supplementary mass (Supplementary Mass is a percentage of the target mass which accounts for tomorrow s growth, percentage is a constant on constant page.) 26

27 Online Mass Control Report 27

28 Another Example: MUMPS MUMPS (Municipal Utility Monitoring Program) Inputs SCADA SCADA Calculated LIMS LIMS Calculated LIMS Calculated Counts 28

29 MUMPS Reporting Form 29

30 Presentation Outline Introduction: Scoping The Problem Developing a Solution Specific Example Plan Moving Forward 30

31 Moving Forward Report Demonstration and FAT Roll out new DMP with Training Data Management Program Incorporate Alarms Reporting Incorporate Calculated SRT s Optimize Solids Retention Times Biological Mass Control 31

32 THANK YOU & QUESTIONS 32

Equipment and Instrument Tagging Requirements

Sanitary Sewer Overflow (SSO) Control and Wastewater Facilities Program Equipment and Instrument Tagging Requirements City of Baton Rouge/Parish of East Baton Rouge Department of Public Works Submitted