Case Study: Enhanced WWTP Performance & Reduced Operating Costs with Online M&C | YSI | Sanitaire
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Case Study - Enhanced Performance & Reduced Operating Cost With Online Process Monitoring and Automated Control YSI WATER RESOURCE RECOVERY FACILITY WEBINAR SERIES 1
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Transcript of Case Study: Enhanced WWTP Performance & Reduced Operating Costs with Online M&C | YSI | Sanitaire
Case Study - Enhanced Performance & Reduced Operating Cost With Online Process Monitoring and Automated Control
YSI WATER RESOURCE RECOVERY FACILITY WEBINAR SERIES
1
Presenter
Presentation Notes
Thank you Theresa and welcome to all in attendance this afternoon. It is our pleasure to present today’s water resource recovery webinar. The purpose of our webinars is to educate attendees on the application of online process monitoring for wastewater treatment, especially YSI branded IQ SensorNet. The ultimate objective for monitoring is to tie the measurements into control loops to automate process control. With this objective in mind, we are joined today by our Xylem sister company, Sanitaire. Sanitaire is a provider of integrated biological process control software and hardware systems for automation of wastewater treatment through the Oscar platform. The case study described today brings IQSN and Oscar together for a very effective solution for WWTP automation. The benefits we will show you include greater process stability, reduced energy consumption, and reduced chemical usage.
Presenters
Bulbul Ahmed, Ph.D., P.E. Process Engineer- Water Solutions at Sanitaire 9333 N 49th St., Brown Deer, WI 53223 USA O 414.365.2369 C 414.242.6564 E [email protected]
Robert Smith, P.E., BCEE, Ph.D. Applications Engineer- Water Solutions at YSI 1725 Brannum Ln, Yellow Springs, OH 45387 USA O 937.767.7241 C 614.499.2884 E [email protected]
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Presenter
Presentation Notes
My name is Rob Smith and with me today is Bulbul Ahmed. The two of us will alternate as presenters. The content I present will include the introductory material that immediately follows, introducing basic concepts of wastewater treatment in each section, and details of the process monitoring system. Bulbul will describe the case study facility, the control system, and present the benefits from automation observed for the project. Don’t worry, it will be easy to tell us apart. I am the one with the midwestern accent!
Wastewater Treatment
Levels of Control
1. Manual based on manual samplings, batch tests & laboratory measurements
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Presenter
Presentation Notes
Wastewater treatment process control has traditionally been manual based on samplings and batch tests like the settling tests depicted here. Manual control is sometimes facilitated through online measurement of critical control parameters, for example, dissolved oxygen. The next level is tying those online measurements into single variable feedback loops to maintain setpoints for automated control, for example valve operation on an air line based on a DO measurement. The fourth level of control is multivariable intelligent control, for example calculation of an SRT based on temperature, and target effluent ammonia. The case study described today is mostly for Level 3 control, although an example of Level 4 control was also implemen
Wastewater Treatment
Levels of Control
1. Manual based on manual samplings, batch tests & laboratory measurements
2. Manual based on online measurements
4
Presenter
Presentation Notes
Wastewater treatment process control has traditionally been manual based on samplings and batch tests like the settling tests depicted here. Manual control is sometimes facilitated through online measurement of critical control parameters, for example, dissolved oxygen. The next level is tying those online measurements into single variable feedback loops to maintain setpoints for automated control, for example valve operation on an air line based on a DO measurement. The fourth level of control is multivariable intelligent control, for example calculation of an SRT based on temperature, and target effluent ammonia. The case study described today is mostly for Level 3 control, although an example of Level 4 control was also implemen
Wastewater Treatment
Levels of Control
1. Manual based on manual samplings, batch tests & laboratory measurements
2. Manual based on online measurements 3. Automatic with online measurements
and single-variable feedback control 4. Automatic with online measurements
and multi-variable intelligent control
5
Presenter
Presentation Notes
Wastewater treatment process control has traditionally been manual based on samplings and batch tests like the settling tests depicted here. Manual control is sometimes facilitated through online measurement of critical control parameters, for example, dissolved oxygen. The next level is tying those online measurements into single variable feedback loops to maintain setpoints for automated control, for example valve operation on an air line based on a DO measurement. The fourth level of control is multivariable intelligent control, for example calculation of an SRT based on temperature, and target effluent ammonia. The case study described today is mostly for Level 3 control, although an example of Level 4 control was also implemen
Activated Sludge Process Control
Influent
Return Activated Sludge (RAS)
Mixed liquor Effluent
Clarifier
AIR
Aeration tank
Waste Activated Sludge (WAS)
Chemical Feed
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Presenter
Presentation Notes
When it comes to activated sludge process control there are three main operating parameters: aeration to control the desired environment in the reactor, for example a DO of 2 mg/L for nitrification; sludge wasting to control the biomass population, for example to include nitrifying microorganisms, and sludge recirculation to control the distribution of microorganisms between the aeration tank and the clarifier. A fourth parameter is to set the chemical feed rate to control the level of soluble phosphorus in treated effluent.
Black River Falls, WI WWTP
Presenter
Presentation Notes
Automated process control and online monitoring study was carried out in a full scale conventional activated sludge plant located in Black River Falls, WI.
Biological/Chemical Nutrient Removal
• Design / Average Flow: 0.86 / 0.60 MGD
Effluent Discharge Permit
BOD5 = 30 mg/l TSS = 30 mg/l TP = 1.0 mg/l
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Presenter
Presentation Notes
Those who are not familiar with the location of Black River Falls, It is located about 200 miles NW of Milwaukee. This is a 0.86 MGD conventional activated sludge process plant designed to meet effluent BOD and TSS of 30 mg/l and TP of 1 mg/l. This process includes primary clarification, anaerobic treatment, and three parallel basins aerobic treatment where flow from the anaerobic is equally distributed followed by final clarification. Ferric chloride was added as a metal salt to precipitate dissolved reactive phosphate. One 60 HP and one 25 HP blower was dedicated for delivering air to aerobic basins and one 25 HP blower was dedicated for delivering air to the sludge holding tank. 0ne 60 HP blowers was a standby blower. Before we go to specific challenges of this plant, I would like to briefly mention two process issues that we addressed before implementation of OSCAR control and online monitoring. This will be discussed later on. First one was the RAS/WAS valve which was manual. Second one was the air supply line which was common to Sludge holding tank and Aerobic basins.
Problem Statement
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• Manual blower speed adjustment based on online DO monitoring (Level 2)
Only able to control blower operation during work hours Unstable DO concentration in the aeration basin
• Manual Sludge wasting based on time (Level 1)
Amount of sludge wasted was unknown What happens if valve failed to close What happens if valve is not closed on time Limited success in maintaining desired SRT or MLSS
concentration
• Manual chemical dosing (Level 1)
Ferric chloride (FeCl3 ) for phosphorous removal Caustic to recover pH Daily composited samples / limited control
Presenter
Presentation Notes
BRF installed DO monitoring system in order to control blower speed manually- (Mostly read problem statement) + No SCADA system prior to our updates. Consequently, reduced process visibility and real-time monitoring or controls Unstable DO concentration, SRT, MLSS, Chemical usage profiles will be discussed with OSCAR control results.
Process Performance Optimization Objectives
Test following automatic control algorithms against manual control to examine process stability, treatment performance, and chemical & energy savings potentials
• Blower Driven Aeration Control • Phosphorous Removal Chemical Dosing Control • Operator Desired Solid Retention Time (SRT) Control • Process Optimized SRT (Smart SRT) Control • Operator Desired Mixed Liquor Suspended Solids (MLSS) Control
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Presenter
Presentation Notes
(Mostly read as it is)…..
Monitoring System Improvements
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Presenter
Presentation Notes
The monitoring system includes a VARiON ammonium and nitrate sensor, FDO DO sensor, and a ViSolid TSS sensor in one lane of the aeration tanks to monitor MLSS. The DO sensor was used for aeration control as Bulbul will describe later. The ammonium sensor will be used in future evaluation of ammonium-based aeration control The TSS sensor was used in this study as part of sludge wasting control. A ViSolid TSS sensor was installed in the RAS/WAS pit to monitor RAS SS, also as part of the sludge wasting control system. A P700 orthophosphate analyzer is installed in the effluent building to monitor effluent orthophosphate to provide for feedback control of chemical dosing described later in the webinar. Although there is a monitoring system controller at each measuring location in this example, an alternative configuration with less hardware and simpler installation would have connected all measuring locations to the same controller through IQSN special 2-conductor cable that distributes both power and communications throughout the network. The monitoring system also included an MC2 module installed in the main control panel. The MC2 is a controller in a box (no display) that also interfaces with the most popular Allen Bradley PLC hardware via Ethernet/IP.
Smart Sensor Status Visibility
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Presenter
Presentation Notes
Besides the easy integration with PLC equipment via ethernet/IP, digital bus technology allows substantially more information to be transmitted than conventional 4-20 mA outputs. For example, the status of the sensor, in this case the sensor on the right is in maintenance mode, perhaps the sensor is being cleaned or calibrated meaning that the main value has not displayed and that the control system should not react. The status of the measurement is also transmitted – Valid is good / invalid bad - to indicate for example if the monitoring system has detected a problem with the measurement, fouling of the TSS sensor as an example.
Control System Improvements
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Presenter
Presentation Notes
Air piping modification- We modified air piping to decouple air supply to sludge holding tank and aeration basins. Manual Valve- We replaced manual valve with actuated valve with the option of manual control. Blowers: Added VFD’s to both 60 hp and 25 hp blower dedicated to supply air to aeration basins. OSCAR Software & hardware system includes- SCADA System, PLC, and HMI.
Aeration Control
Presenter
Presentation Notes
The aeration system is typically one of the largest energy consumers in a WRRF. Therefore, aeration control is one of the most common applications for WWT automation because of the potential for substantial savings in operating costs . Or, The aeration process is the single largest consumer of energy in wastewater treatment plants. The drives to reduce operational costs and improve sustainability are forcing many agencies to optimize their aeration processes.
Aeration Monitoring
FDO® 700 IQ optical DO sensor
• Factory calibration – no user calibration required
• Very stable - measurement / reference optics identical
• Angled sensor for higher accuracy – no false highs, less noise
• Less maintenance - No membranes, electrolyte, electrodes
• Replaceable sensor cap lasts 2+ years (2-yr. warranty)
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Presenter
Presentation Notes
The use of optical DO technology has revolutionized aeration control for its long-term stability and simple maintenance compared with conventional EC DO technology. The YSI FDO sensor is factory calibrated. Routine user calibration is not required. Matching optics of the measurement and reference channel mean long-term stability of calibration. The sensor cap is angled, as shown here to minimize interference from air bubbles eliminating overestimates and providing a less noisy measurement. The only required maintenance is routine cleaning of the face of the sensor with a soft cloth. There is one consumable – a replaceable sensor cap which YSI warranties for 2 years. Actual lifetime may reach up to 3 years.
Blower Driven Aeration Control
DO controller
DO
DO setpoint
How does it work?
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Presenter
Presentation Notes
Of many forms of aeration control, this is one of the simplest forms of aeration control. In this control system, DO controllers compare real time basin DO concentration with the DO setpoint and adjust blower speed to maintain sable setpoint DO concentration in the basin.
With OSCAR Control • Automatic blower speed control
(24/7) • 10 to 15% energy savings (hourly
average)
Without OSCAR Control • Manual blower speed control • No control during night, weekend,
and holidays • Waste of energy
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Presenter
Presentation Notes
The operators were monitoring basin DO concentration and adjusted blower speed manually to save energy. As you can see from the figure on the top, they had limited success establishing stable DO concentration in the basin. The basin DO concentration varied from less than 1 to over 6 mg/l. With the Oscar process control implementation, a stable basin DO concentration of 2 mg/l was maintained. The second figure is showing blower speed during manual and automated OSCAR process control system implementation. During manual control blower ran at a constant speed whereas blower speed was continuously adjusted during automatic control. Overall energy analysis for this automatic control period compare to manual control period showed average 10-15% energy savings. This energy savings can be even higher. For example, when the plant was running at 100% blower speed for a week around 10/23-10/28, energy analysis showed 20% energy savings. In summary, OSCAR aeration control system provided stable DO concentration at lower energy cost.
Chemical Dosing Control
Presenter
Presentation Notes
Recent events have demonstrated that excess phosphorus in receiving waters can create many serious problems. For this reason and others, incorporation of new and more restrictive phosphorus limits into discharge permits is occurring in many states. Many facilities will need to add a process to the flow sheet. Addition of Ferric or Alum is for phosphorus removal from wastewater is very common. The cost of chemical is one of the largest operating expenses besides aeration for energy so minimizing chemical usage through automatic control is one of the simplest and most effective ways to reduce operating costs.
How is ‘P’ Removed?
2 ways
1. Biological 2. Chemical
Basic concept: ‘P’ dissolved ‘P’ Particulate
‘P’
Presenter
Presentation Notes
Actually, P can be also be removed by biological means very effectively although the process is more complicated. In either case, the removal mechanism is conversion of soluble P to particulate P which can be settled out in the clarifiers and removed with waste sludge. Therefore, achieving the lowest total P requires first converting as much soluble ortho-P to particulate P as possible and process control of clarifiers and filters to capture TSS very efficiently.
How is ‘P’ Removed?
2 ways
1. Biological 2. Chemical
Basic concept: ‘P’ dissolved ‘P’ Particulate
‘P’
Orthophosphate Monitoring P700 IQ
• Inf. / eff. / MLSS • Low reagent
consumption • Lightweight 0.45 µm
filter • Sample pump in
cabinet (dry) • Auto cal. & cleaning • 5-min. measurement
(yellow method)
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Presenter
Presentation Notes
So, whereas Total P is the compliance parameter, Ortho-phosphate is the critical process parameter for P. Unfortunately, a “probe” style sensor for ortho-P has yet to be developed. Therefore, Process monitoring for P removal requires still a traditional cabinet-style wet chemistry analyzer. However, innovations even in cabinet analyzers have greatly increased there utility. For instance, the P700 has a wide measuring range which makes it suitable for monitoring influent, effluent, MLSS, and even dewatering centrate. The lightweight 0.45 micron filter effectively removes all particulates allowing for the use of very small tubing and minimum sample and reagent consumption. Furthermore, the sample pump is located dry inside the cabinet. Together this allows for lightweight filtration module easily accessible mounted on a slide rail in the basin. User programmable Automatic cleaning and calibration to a standard provides a reliable and stable measurement. The measurement interval is also programmable and can be as frequent as every 5 minutes.
Controlling Effluent Soluble ‘P’ How does it work?
TPeff = PO4eff + TPeff SS PO4 Controller
Effluent Solids Phosphorus
(~0.25-1 mg/L) PO4
controller
PO4 Setpoint
Chemical (Ferric/alum) P Removal
Soluble BOD for Bio-P Removal
PO4 Analyzer
Aerobic Zone Anaerobic Zone
22
Presenter
Presentation Notes
Effluent total phosphorous from a secondary treatment process contains reactive ortho-phosphate that can be removed by chemical precipitation followed by physical separation such as clarification process. The YSI ortho-phosphate analyzer measures real time effluent reactive ortho-phosphate concentration. Ortho-phosphate controller compares ortho-phosphate concentration with the setpoint and adjusts chemical feeding rate (Similar to DO Control).
Analyzer/Control Performance
• Similar treatment performance
• 95% reduction in ferric chloride usage
• Complete elimination of caustic usage
• Payback period is less than 4 months
With Analyzer Installation
23
Presenter
Presentation Notes
Prior YSI Ortho-phosphate Analyzer installation, the operators were adding excessive chemicals (FeCl3 to precipitate reactive ortho-phosphate and caustic to recover pH) to achieve effluent TP concentration less than 1.0 mg/l. This was due to limited sampling. As you can see from the figure, this plant was able to reduce FeCl3 uses by 95% with the implementation of this analyzer and maintained similar treatment performance. This plant completely eliminated caustic uses. Based on these performance data, we estimated a payback period of less than 4 month. In summary, this plant archived TP concentration less than 1.0 mg/l, minimized chemical usage, and reduced significant operational costs.
Sludge Wasting Control
Presenter
Presentation Notes
AS process performance, sludge production, and oxygen requirements are all impacted by sludge wasting. Therefore, SW control is the single most critical process control parameter. However, automatic control of the biomass sludge age is still seldom used. The amount of biomass wasted is typically regulated manually and infrequently, and often by an operator targeting a MLSS concentration in the basin rather than the sludge age. Significant improvements could be done by including automatic control of the biomass sludge age or MLSS concentration. SIMS is an automated sludge wasting control system to maintain required solids retention time or mixed liquor suspended solids concentration in the biological process unit.
Sludge Age, MCRT, SRT, CRT
Qe, TSSe
V, MLSS
Qr, TSSr
Qw, TSSr
Qi, TSSi
Biomass in the system Solids entering / leaving the system ÷ Note: F:M is related to these parameters through constants for growth and decay
25
Presenter
Presentation Notes
Many different parameters are used for sludge wasting control: Sludge age, MCRT, SRT, CRT and even F:M are sludge wasting parameters. The basic concept is to control the amount of time that solids spend in the system. Bulbul will describe how to automate the parameter solids retention time or SRT.
TSS Monitoring
ViSolid® 700 IQ
• Factory calibrated for mixed liquor • mg TSS / L, % TSS • Built-in ultrasonic cleaning – always on
• No wipers, no external mechanical components
26
Presenter
Presentation Notes
TSS monitoring is critical for SRT control. The YSI ViSolid is an optical reflectance-based TSS sensor. The sensor has 2 built-in factory calibrations – one for TSS and one for primary sludge and will report concentrations in mg/L or % solids. It has a built-in ultrasonic cleaning system which slows accumulation of sludge on the sensor reducing maintenance requirements. There are no wipers or external mechanical components that need to be replaced.
What is SRT?
Solids Retention Time = average duration of time an organism spends in the system
SRT =Basin Mass
Mass wasted per day=
Basin volume(m3) · MLSS (mg/l) WAS Q(m3/day) · WAS TSS(mg/l)
=kg
kg/day= days
Volume
MLSS
TSS
Q
27
Presenter
Presentation Notes
SRT or Solid retention time is a design parameter that measures the duration of time in days that microorganism spends in the system and calculated as basin biomass divided by the wasting rate. We can calculate basin biomass through online measurement of MLSS concentration since basin volume is constant. We can calculate wasting rate through online measurement of TSS concentration and flow rate.
SIMS – Solids Inventory Management System
Automated sludge wasting to maintain a required solids retention time or mixed liquor suspended solids concentration
Benefits:
• Overall improvement and consistency in effluent quality
• Improved stability of plant operation • Improved settling characteristics • Reduced energy use associated with aeration
and sludge handling
28
Presenter
Presentation Notes
Reduce operators work load and maintain stable operation during weekends and holidays
SIMS Benefits
Ammonia removal
efficiency [kg NH3/kWh]
Power
Inadequate treatment
Optimized treatment
Wasted energy
29
Presenter
Presentation Notes
The graph shows the impact of sludge age on the biological treatment: - At low sludge ages, the ammonia removal efficiency (in the graph states per input power) is very low and we don’t get sufficient treatment. - At high sludge ages, the ammonia removal efficiency per power starts to again go down. We get sufficient treatment, but too an unnecessary high energy cost due to endogenous respiration of the old sludge. - There is a window where the ammonia removal efficiency per input power is at the peak. We get sufficient treatment and lowest possible power input. This is where we want to be! The mass to waste to stay within this green area depends on several factors-…….They varies over time and between plants. It’s very difficult for an operator to manually adjust the mass wasted to stay within the wanted green area. Most common is to keep the biomass to high (want to be on the safe side). Treatment goals are met, but energy is wasted.
SIMS Control Flexibility
Time
Four available modes of control
Set your preferred wasting
time MLSS SRT Smart SRT
Set your preferred run
time or volume for each
wasting event
Control to an operator selected MLSS
Control to an operator
selected SRT
Control to an optimized SRT
calculated based on real-time
process parameters
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Presenter
Presentation Notes
SIMS control system provides greater operational flexibility. The operator can chose any one of the four modes of operation. In time mode, operator can simply chose a specific period of time for each wasting event. In MLSS or SRT mode, operators can select desired MLSS concentration or SRT respectively. Or operator can choose Smart SRT mode where controllers calculate SRT required for complete nitrification based on process parameters.
Trouble-Free Control
Careful and stable adjustments ensure a healthy biomass • Avoids fast process changes • Maintains a healthy SRT also in MLSS mode
Trouble- free control • We know our probes:
• Automatic detection of probe cleaning or calibration needs • During probe maintenance, SIMS switch to a separate control mode to avoid
control using invalid data • We know the process:
• Automatic detection of process upsets or unhealthy biomass • As issues are detected, SIMS switch to a safe mode and an alarm is sent to the
operator
Presenter
Presentation Notes
SIMS include a large set of safety nets which ensure a safe and trouble-free control. Independent on operating mode (if the operator prefer to control to a SRT or MLSS), all control actions are made with careful change to ensure that the process is stable. Fast process changes can otherwise disturb the biology and cause problems such as filaments. These kind of issues are avoided though the included control stabilization. Since SRT is an important parameter affecting the process health, it is carefully monitored and maintained at healthy levels even if the operator selects to run in MLSS mode. Any automatic control of biomass is sensitive to process upsets and probe issues. With SIMS, these are avoided since we know our probes and we know the process, and therefore can detect and react to these issues. Since we know our probes, SIMS automatically detects need of cleaning or calibration, or direct probe errors that needs to be adjusted. It also detects when mainteiance is done on a probe and switch SIMS to a separate control mode to ensure that the biomass isn’t control based on unvalid data. With the addition of logic based on process knowledge and expertise, SIMS automatically detect process upsets or unhealthy values measured in biomass. Any issues detected will automatically switch SIMS to a safer mode and alarm the operator. These safety nets ensure a safe and trouble- free control of the process biomass.
Operator Desired Solid Retention Time (SRT) Control
Without OSCAR Control • SRT varies of 8 to 22 days • Potentials for under
treatment or over treatment • Waste of energy • Tedious manual wasting
With OSCAR Control • Automatic Wasting • Stable operator desired SRT • Optimized treatment
32
Presenter
Presentation Notes
Before SIMS control implementation, Operators were manually adjusting wasting during work days. As you can see from the figure, the daily SRT varies from 8 to 22 days. With the SIMS control, this plant was able to maintain operator desired SRT. Stable operation.
Operator Desired Mixed Liquor Suspended Solids (MLSS) Control
Without OSCAR Control • MLSS concentration varies
from 1900 to 2600 mg/l • Wanted to maintain 2000 mg/l
but over/under shoot are due to manual wasting
• No control during weekend or holidays
With OSCAR Control • MLSS was maintained close to the
setpoint (2100 mg/l) by automatic wasting • Stable MLSS concentration over long
operational period
33
Presenter
Presentation Notes
Similar to SRT, Operators were manually adjusting wasting during work days before SIMS control implementation. As you can see from the right figure, the daily MLSS concentration varies from 1900 to 2600 mg/l. With the SIMS control, this plant was able to maintain operator desired MLSS concentration of 2100 mg/l. Again, very stable operation with the implementation of SIMS control.
Process Optimized SRT (Smart SRT) Control Desired Treatment
• Effluent ammonia concentration less than 1.0 mg/l
Without OSCAR Control
• Manual wasting
With OSCAR Control
• Desired SRT was calculated based on process parameters
• Maintained SRT by automatic wasting adjustment
• Effluent ammonia conc. was always less than 1.0 mg/l
• Optimized process operation
34
Presenter
Presentation Notes
Under this control strategy, the desired effluent ammonia concentration was 1.0 mg/l. This controller calculates required SRT using process parameters. Based on this calculated required SRT, controller calculates mass need to be wasted. As you can see from the figure, this control system maintained SRT close to the process optimized SRT.
Summary of Project
Presenter
Presentation Notes
Bulbul
OSCARTM Process Performance Optimizer
Process Stability DO Manual control: 2.6 ± 1.6 mg/l Automatic control: 2.0 ± 0.05 mg/l 10 to 15% energy savings MLSS Manual control: 1,900 to 2,600 mg/l Automatic control: 2,037 ± 40 mg/l SRT Manual control: Varies from 8 to 21 days Automatic control: 13.57 ± 0.13 days Chemical dosing Manual control: up to 1,000 gal. Ferric/day Automatic control: Less than 50 gal./day
36
Presenter
Presentation Notes
Mostly from slide
Implementation of Online Monitoring and OSCARTM Control Automatic vs. Manual control
‘We love the way the OSCAR™ aeration control system is automatically controlling blower speed and operation, and maintaining stable DO concentration that we never achieved during manual operation. Currently, we do not need to worry about blower operation during work days, weekends or long weekends.’ ‘Historically, we ran our waste activated sludge pump manually for a certain period of time per day. We love the way the OSCAR™ SIMS control system is automatically controlling wasting based on our need, maintaining stable operation and providing superior effluent quality.’ ‘We realized significant FeCl3 and caustic cost savings during the first 1.5 months of the YSI Orthophosphate analyzer installation. We also completely eliminated caustic usages due to controlled FeCl3 dosing.
Rick and Bill Black River Falls WWTP Operators
Black River Falls, WI Phone:715-284-2913
37
Presenter
Presentation Notes
Bulbul
IQ SensorNet Process Monitoring System
38
Presenter
Presentation Notes
Rob
For More Information
OSCARTM
• Web: www.xylem.com/treatment/us • YouTube- www.youtube.com/user/SanitaireUS • Phone: 1-414-365-2200 • Email: [email protected]
IQ SensorNet
• Web: www.ysi.com/wastewater • Slideshare – www.slideshare.net/YSIinc • YouTube – www.youtube.com/YSIinc • Phone: 1-800-897-4151 • Email: [email protected]
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Presenter
Presentation Notes
Rob
