Menniti, Adrienne

Menniti, Adrienne

Presented at WEFTEC 2023.

Joined:

About Menniti, Adrienne

Presented at WEFTEC 2023.

Menniti, Adrienne

Presented at WEFTEC 2023.

Titles from this speaker

Agua Nueva WRF: Piloting Experience of Machine Learning Hybrid Nutrient Controller

Abstract

Water Research Foundation Project 5121 is titled Development of Innovative Predictive Control Strategies for Nutrient Removal. The project is focused on developing and full-scale testing of a hybrid (machine learning + mechanistic model) nutrient management controller at four different WRRFs. The project team has named the controller ODIN: Operational Decision-making Information Network. The primary objectives of the ODIN pilot for ANWRF are to: Provide twice daily DO setpoint recommendations for the step feed bioreactor. Provide WAS rate recommendations for appropriate SRT control The implementation of data-driven dissolved oxygen control recommendations at the Agua Nueva WRF has resulted in an aeration savings of approximately 10 percent as compared to historical operation at the facility. These recommendations have resulted in operations gaining more insight into the operation of the facility, as well as provide the cost savings described.

SpeakerJohnson, Bruce

Presentation time

16:00:00

16:15:00

Session time

15:30:00

17:00:00

SessionCase Studies of Machine Learning in Full-Scale Nutrient Management Part II

Session locationRoom S505b - Level 5

TopicAdvanced Level, Facility Operations and Maintenance, Intelligent Water, Nutrients

Author(s)

Johnson, Bruce

Author(s)B. Johnson 1; B. Johnson 1 ; C. Yang ; J. Registe 4; A. Menniti 5; A. McClymont 6; R Abel 6; T Mason 8;

Author affiliation(s)Jacobs 1; Jacobs 1 ; Jacobs ; Maia Analytica 4; Jacobs 5; Jacobs 6; Jacobs 6; Jacobs 8;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159117

Volume / Issue

Content sourceWEFTEC

Word count12

Clean Water Services ODIN Pilot Case Study

Abstract

Water Research Foundation Project 5121 is titled Development of Innovative Predictive Control Strategies for Nutrient Removal. The project is focused on developing and full-scale testing of a hybrid (machine learning + mechanistic model) nutrient management controller at four different WRRFs. The project team has named the controller ODIN: Operational Decision-making Information Network. The primary objectives of the ODIN pilot for CWS are to: Predict the expected diurnally varying plant influent orthophosphate loading over the following 24 hours. Recommend an alum dosing set point to maintain a requested primary effluent orthophosphate load. A secondary goal is the additional information provided on parameters like influent ammonia. For the CWS application, the ODIN systems appears to be a promising opportunity to improve plant operation using digital twin technology.

A hybrid (machine learning + mechanistic modelling) controller called ODIN has been developed through WRF5121 and is currently being tested at the Clean Water Services Durham WRRF. The system recommends for primary alum addition setpoints based on forecasted phosphorus loads and target bioreactor ortho-phosphate mass loading targets. The ODIN system appears to be a promising opportunity to improve plant operation using digital twin technology. This paper summarizes the status of the CWS pilot.

SpeakerMenniti, Adrienne

Presentation time

15:35:00

15:50:00

Session time

15:30:00

17:00:00

SessionCase Studies of Machine Learning in Full-Scale Nutrient Management Part II

Session locationRoom S505b - Level 5

TopicAdvanced Level, Facility Operations and Maintenance, Intelligent Water, Nutrients

Author(s)

Menniti, Adrienne

Author(s)A. Menniti 1; A. Menniti 1 ; B. Johnson 2; K. Lesnik 3; C. Yang 4;

Author affiliation(s)Clean Water Services 1; Clean Water Services 1 ; Jacobs 2; Jacobs 3; 4;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159116

Volume / Issue

Content sourceWEFTEC

Word count8

Description: Dance of the Machines at AlexRenew WRRF: Piloting Experience of Machine Learning...

Dance of the Machines at AlexRenew WRRF: Piloting Experience of Machine Learning Hybrid Nutrient Controller

Abstract

A full-scale pilot of a hybrid (machine learning + mechanistic modelling) based nutrient controller is being implemented at Alexandria Renew Enterprises (AlexRenew), VA as part of The Water Research Foundation project 5121. The hybrid nutrient controller developed for this project has been named ODIN (Operational Decision-making Information Network). At AlexRenew, ODIN is used to recommend equalization discharge and return pumping setpoints with the goal of minimizing overall energy and chemical usage at the facility while maintaining a very low effluent total nitrogen. Recent historical and simulated nutrient removal performance is presented along with the metrics selected to evaluate the control period with ODIN suggestions being considered.

This paper was presented at WEFTEC 2023 in Chicago, IL.

SpeakerOristian, Monica

Presentation time

16:25:00

16:40:00

Session time

15:30:00

17:00:00

SessionCase Studies of Machine Learning in Full-Scale Nutrient Management Part II

Session locationRoom S505b - Level 5

TopicAdvanced Level, Facility Operations and Maintenance, Intelligent Water, Nutrients

Author(s)

Oristian, Monica

Author(s)M. Oristian 1; M. Oristian 1 ; B. Johnson ; C. Yang 3; J. Registe 5; H Stewart 6; K. Lesnik 7; A. Menniti 8;

Author affiliation(s)Alexandira Renew Enterprises (AlexRenew) 1; Alexandira Renew Enterprises (AlexRenew) 1 ; Jacobs ; Jacobs 3; Jacobs 5; Jacobs 6; Jacobs 7; Clean Water Services 8;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159118

Volume / Issue

Content sourceWEFTEC

Word count16

Designing for Humans

Abstract

The Water Research Foundation Project 5121 is titled Development of Innovative Predictive Control Strategies for Nutrient Removal is focused on developing and full-scale testing of a hybrid (machine learning + mechanistic model) nutrient management controller at four different WRRFs. The project team has named the controller ODIN: Operational Decision-making Information Network. The philosophy behind the ODIN User Interface is to make this tool easy to use for operations staff. To accomplish this objective, we’ve focused on two goals with the user interface design: 1. Keep the user priorities and mind set in mind at every step of the user interface design. 2. As engineers, we need to remember to keep the interface easily accessible and simple. Any new way of doing things must make the life of the operator better in some way. Without that, even the best ideas will likely fail at widespread adoption

A hybrid (machine learning + mechanistic modelling) controller developed through WRF5121 and named ODIN has been developed and is currently being tested at four different WRRFs. The philosophy behind the ODIN User Interface is to make this tool easy to use for operations staff. Every step of the user interface development process has kept user priorities and needs at the forefront. This paper reviews the ODIN approach to user interface development.

SpeakerMenniti, Adrienne

Presentation time

13:35:00

13:50:00

Session time

13:30:00

15:00:00

SessionApplications of Machine Learning in Full-Scale Nutrient Management Part I

Session locationRoom S504c - Level 5

TopicFacility Operations and Maintenance, Intelligent Water, Intermediate Level, Nutrients

Author(s)

Menniti, Adrienne

Author(s)A. Menniti 1; B. Johnson 2 ; A. Menniti 1;

Author affiliation(s)Clean Water Services 1; Jacobs 2 ; Clean Water Services 1;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159078

Volume / Issue

Content sourceWEFTEC

Word count4

Evaluating Measurement Approach and Variability of the Apparent Fermentation Rate

Abstract

In an effort to understand options to improve EBPR stability, research into the sidestream EBPR process configurations has increased. Understanding the carbon generation rate of S2EBPR is key to determining if the process may improve EBPR performance. CWS has investigated methods to describe this apparent fermentation rate and evaluated AFR implications for fullscale performance. The results indicate that differences in measurement methodology can cause the resulting AFR to vary greatly.

This paper was presented at WEFTEC 2023 in Chicago, IL.

SpeakerSchauer, Peter

Presentation time

13:30:00

13:50:00

Session time

13:30:00

15:00:00

SessionBiomass Fermentation for Carbon Efficient Biological Phosphorus Removal

Session locationRoom S404c - Level 4

TopicFacility Operations and Maintenance, Intermediate Level, Municipal Wastewater Treatment Design, Nutrients

Author(s)

Schauer, Peter

Author(s)P. Schauer 1; P. Schauer 1 ; A. Menniti 1;

Author affiliation(s)Clean Water Services 1; Clean Water Services 1 ; Clean Water Services 1;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825158989

Volume / Issue

Content sourceWEFTEC

Word count11

Description: Genome-centric Insights into Full-scale EBPR Captured During a Biomonitoring...

Genome-centric Insights into Full-scale EBPR Captured During a Biomonitoring Campaign

Abstract

Phosphorus removal from wastewater remains a core component of modern wastewater treatment strategies critical for protecting aquatic ecosystems and capturing valuable nutrients. Enhanced biological phosphorus removal (EBPR) is attractive since it reduces the need for chemical precipitating agents and facilitates phosphorus recovery. However, instability can limit the reliable application of EBPR for meeting stringent effluent phosphorus limits. As part of an ongoing biomonitoring campaign, samples were collected before and during an EBPR process stability episode and sequenced for paired metagenomes and metatranscriptomes. Analysis revealed that shifts in carbon and phosphorus loads coupled with changes in the population sizes of non-fermenting polyphosphate accumulating organisms (PAOs; Candidatus Accumulibacter spp.), as identified in the metagenomic data, were associated with poor P-uptake. Metatranscriptomic data from these PAO populations revealed they were indeed substrate limited, as hypothesized from process data, with key genes related to carbon storage appearing down regulated during the instability event with respect to the stable control despite having a greater cell load during the instability period. Accordingly, several gene families related to carbon uptake, VFA metabolism, and PHA synthesis were found to be sensitive to the underlying carbon-limited conditions of the process instability. Our findings illustrate how combined metagenomic and metatranscriptomic sequencing can facilitate interpretation of process data and aid in evaluating the root cause of instability. These data also indicate potential gene targets suitable for developing EBPR performance markers as part of longer term or more frequent biomonitoring efforts.

As part of an ongoing biomonitoring campaign, samples were collected before and during an EBPR process stability episode and sequenced for paired metagenomes and metatranscriptomes. Analysis revealed that shifts in carbon and phosphorus loads coupled with changes in the population sizes and gene transcription of PAOs were associated with poor P-uptake. Our findings illustrate how sequence data can facilitate interpretation of process data and aid in evaluating the root cause of instability.

SpeakerLindner, Blake

Presentation time

14:00:00

14:30:00

Session time

13:30:00

15:00:00

SessionConnecting Molecular Biology Sensors to EBPR Performance

Session locationRoom S502 - Level 5

TopicAdvanced Level, Facility Operations and Maintenance, Municipal Wastewater Treatment Design, Nutrients

Author(s)

Lindner, Blake

Author(s)B. Lindner 1; B. Layton 2 ; B. Lindner 1; B. Layton 2; R. Golda 2; K. Lesnik 3; K. Konstantinidis 4; A. Menniti 2; P. Schauer 2;

Author affiliation(s)School of Civil and Environmental Engineering, Georgia Institute of Technology 1; Clean Water Services 2 ; School of Civil and Environmental Engineering, Georgia Institute of Technology 1; Clean Water Services 2; Clean Water Services 2; Maia Analytica 3; School of Civil and Environmental Engineering, Georgia Institute of Technology 4; Clean Water Services 2; Clean Water Services 2;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159085

Volume / Issue

Content sourceWEFTEC

Word count11

Heating Primary Sludge for Increased Fermenter Volatile Fatty Acid Production

Abstract

The Durham Advanced Treatment Facility in Tigard, OR operates a fermentation complex that utilizes a Unified Fermentation and Thickening (UFAT) process to ferment primary sludge. Volatile fatty acid (VFA) produced through fermentation are used to support biological phosphorus removal (BPR). During cold weather months, solids retention time (SRT) limitations result in reduced VFA production, leaving BPR somewhat unstable especially in late spring when the plant effluent total phosphorus limit becomes more stringent. A sludge heating system was installed upstream from the fermentation complex to heat primary sludge, overcoming SRT limitations of the current system to increase cold weather VFA production. This improves BPR stability in the late spring and changes future fermenter design criteria, reducing the required footprint for future fermentation system expansion.

SpeakerMenniti, Adrienne

Presentation time

10:50:00

11:10:00

Session time

10:30:00

11:10:00

SessionAddressing Low Influent Carbon for EBPR

Session number517

TopicMunicipal Wastewater Treatment Design, Nutrients, Research and Innovation

Author(s)

A. MennitiA. MennitiR. GoldaJ. Abrook

Author(s)A. Menniti1; A. Menniti1; R. Golda2; J. Abrook2;

Author affiliation(s)Clean Water Services, OR1; Clean Water Services, OR, OR2

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2020

DOI10.2175/193864718825157520

Volume / Issue

Content sourceWEFTEC

Word count11

Online Instrumentation for Dewatering Centrifuge Optimization

Abstract

Dewatering is a major resource recovery facility operating cost. Therefore, dewatering optimization could provide a significant cost saving opportunity. At CWS, the historical approach for dewatering centrifuge operation is to set targets for dewatered cake dryness and solids capture. This approach encouraged increased polymer use with limited incentive to critically evaluate operational set points. Because of the costs associated with dewatering, CWS has moved toward cost-based dewatering centrifuge operation using a suite of analyzers from Valmet that allows cost-based dewatering optimization information to be available in real time. The first of four new dewatering centrifuges installed at the Durham and Rock Creek facilities was commissioned in May 2019. Valmet instruments measuring centrifuge feed total solids (Valmet TS analyzer), dewatered cake total solids (Valmet DS analyzer) and centrate total suspended solids (Valmet LS analyzer) were also commissioned in May 2019 with a pilot agreement to allow their performance to be evaluated for 60 days before investing fully. Based on trial period performance, CWS has chosen to retain the Valmet instrumentation to support dewatering centrifuge operation and will install instrumentation on the remaining new dewatering centrifuges.

SpeakerMenniti, Adrienne

Presentation time

11:10:00

11:30:00

Session time

10:30:00

11:30:00

SessionOvercoming Dewatering Difficulties

Session number520

TopicBiosolids and Residuals, Facility Operations and Maintenance

Author(s)

M. GatesM. GatesA. MennitiA. MennitiM. Idehara

Author(s)M. Gates1; M. Gates1; A. Menniti2; A. Menniti2; M. Idehara1;

Author affiliation(s)Clean Water Services, OR, OR1; Clean Water Services, OR2

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2020

DOI10.2175/193864718825157544

Volume / Issue

Content sourceWEFTEC

Word count7

Online Phosphorus Stability Analyzer: Quantifying The Risk Of BPR Upset

Abstract

INTRODUCTION
Biological phosphorus removal (BPR) has been a cornerstone of the Clean Water Services (CWS) effluent phosphorus permit compliance strategy for decades. The BPR process has historically been observed to operate stably over long periods of time, only to become upset during critical times of the phosphorus permit compliance season. For CWS, an upset condition is defined as the secondary effluent orthophosphate (OP) daily average concentration > 0.1 mg/L P. To reliably meet a stringent effluent phosphorus permit with limited chemical use, it is useful to have an early warning metric for detection of upsets in the secondary effluent. We have demonstrated the effectiveness of an online orthophosphate analyzer coined the 'Stability Analyzer' to better understand BPR Stability (Menniti et al, 2016, Bushee et al, 2018). The analyzer has been operating on aeration basin one (AB1) at the Durham Wastewater Resource Recovery Facility (WRRF) since 2017. Its location was intentionally determined at about halfway through the aerobic zone, which we define as the stability point, where generally all phosphorus uptake has occurred by this point during stable operation. The purpose of this paper is to quantify the risk of an upset event using historical stability analyzer data. A new aeration basin (AB5) recently came online at the Durham facility. This paper will also demonstrate the process of strategically locating a stability analyzer on AB5, which has a different physical geometry to AB1 (Figure 1, Table 1).
UPSET RISK QUANTIFICATION RESULTS
Through empirical observation, we found that BPR operates stably when the Stability Analyzer reads 'zero,' which we define as a daily average concentration < 0.2 mg/L P, and that the BPR process is moving toward an upset event when the analyzer becomes non-zero (Figure 2). Not all instances of non-zero daily average Stability Analyzer measurements result in upset events. Therefore, we have quantified the risk of upset using historical data. Through data analysis from summers 2018-2020, we have quantified the risk of near-future upset events. All analysis is based on daily average analyzer concentrations and excludes time periods when alum was applied to the secondary clarifiers, isolating periods of phosphorus removal solely by biological means. We observe two types of conditions where the Stability Analyzer offers early warning of upset events: A. The daily average Stability Analyzer OP concentration has read zero for at least three days followed by an increase into non-zero daily average territory (Figure 3A, 3B). B. The daily average Stability Analyzer OP concentration is already non-zero and the daily average concentration increases the next day (Figure 4). There are 18 instances of Condition A and 139 instances of Condition B. Of the 18 Condition A instances, 9 resulted in a secondary effluent upset event within the next 2 to 6 days. This equates to a 50% risk of upset. Within these 9 scenarios, the average early warning of upset is 2.8 days. Of the 139 Condition B instances, 107 resulted in a secondary effluent upset event within 3 days. This equates to a 77% risk of upset. To divert an upset, the operations analysts can re-direct VFA flow from fermentate, and if necessary, add alum in the primary and/or secondary clarifiers. The Stability Analyzer has informed process decision making on a day to day basis and has proven useful in predicting BPR stability.
FINDING THE STABILITY POINT
After success with the Stability Analyzer on AB1, CWS wanted to demonstrate that the process could be replicated for basins with different geometries. AB5 is configured with a larger anaerobic and anoxic volume than AB1 (Figure 1, Table 1). In order to find the stability point in AB1, basin OP profiling efforts began in 2013 on all four identical aeration basins at the Durham WRRF (Figure 5). The profiles measure OP concentrations in multiple locations throughout the aerobic zone, with the goal of locating the stability point (Menniti et al, 2016). The stability point for AB1 was found 58% down the aerobic zone, referred to as Cell 7B (Figure 5). However, the stability analyzer was installed in the middle of Cell 7B, 52% down the aerobic zone, rather than where the sampling point was located due to inaccessibility for an analyzer to be placed. The profiling procedure was repeated for AB5 during its first summer of operation (2021) to determine the stability point, therefore informing stability analyzer installation location (Figure 6). The sampling points focused on for AB5 were accessible and appropriate locations for installing an analyzer. It is imperative to collect the profile samples at the same time of day due to diurnal patterns observed in carbon and phosphorus loading (Figure 7). Throughout summer 2021, AB5 was profiled once a week between 9-9:30am for 3.5 months, through stable times and during upset events. Determining the stability point and therefore the location for a stability analyzer is informed by where uptake is complete during time periods when no secondary effluent upset is observed. The OP Basin Profiling efforts on AB5 suggest the ideal location for predicting stability is at Cell 6C, where 45% of the aerated volume is completed (Figure 6). Figure 8 includes the profile results from the anaerobic and anoxic zones in addition to the aerobic zone. These profiles demonstrate that there is limited correlation between anaerobic zone release and corresponding strong aerobic zone uptake. In fact, the anaerobic release is highest during a secondary effluent upset event. We will be installing the stability analyzer on AB5 in January 2022.
CONCLUSIONS
The Stability Analyzer on AB1 provides an indication of BPR stability, and has enabled us to calculate for risk of secondary effluent upset given two prominent conditions, which have been empirically observed to provide early warning of upset events. Operations analysts have used the stability analyzer data in combination with other bioassay data to determine the need to re-distribute fermentate flow and decide on alum dosing approaches to divert a major upset event during stringent phosphorus permit limits. Despite the difference in anaerobic and anoxic volumes, we conclude that the stability points for the two basins with different geometries to be about halfway through the aerobic zone, with AB1 stability analyzer located at 52% and the AB5 stability point found at 45% down the aerobic zone of the basins.
<bF>UTURE WORK
We are currently performing OP Basin Profiling on two step feed basins at our Rock Creek WRRF. The results of this effort will be included in the full paper. Operational experience with the AB5 stability analyzer will also be included from its first 9 months in service, specifically focusing on summer operation when upsets are likely to occur while under strict phosphorus permit limits.

CWS has demonstrated the effectiveness of an on-line orthophosphate analyzer installed halfway through the aerobic zone to predict impending BPR instability. The Stability Analyzer provides an indirect measure of phosphorus uptake and offers 3 days early warning for BPR upsets. This paper quantifies the risk of upset events using 5 years of historical Stability Analyzer data and describes the process of strategically locating the stability point on an operating aeration basin.

SpeakerMenniti, Adrienne

Presentation time

10:30:00

10:55:00

Session time

10:30:00

12:00:00

TopicAdvanced Level, Intelligent Water, Nutrients, Research and Innovation

Author(s)

Menniti, Adrienne

Author(s)Adrienne Menniti1; Peter Schauer1; Skylar Watnick1;

Author affiliation(s)Clean Water Services, Tigard, OR1

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2022

DOI10.2175/193864718825158551

Volume / Issue

Content sourceWEFTEC

Word count11

Description: Use of Bio-electrochemical Sensors to Inform Enhanced Biological Phosphorus Removal...

Use of Bio-electrochemical Sensors to Inform Enhanced Biological Phosphorus Removal Operation Under RAS Fermentation and A2O Conditions

Abstract

This paper was presented at WEFTEC 2023 in Chicago, IL.

This paper summarizes the performance bio-electrochemical sensors deployed at the Clean Water Services Durham WRRF with the following goals to support EBPR operation: 1. Guide RAS-fermentation operation to determine the optimal setpoints to create stable EBPR. 2. Compare anaerobic zone performance during A2O operation between two aeration basins where one basin has an anaerobic zone that is twice as large as the other. 3. Inform plant operations of process influent carbon loadings.

SpeakerMenniti, Adrienne

Presentation time

13:30:00

14:00:00

Session time

13:30:00

15:00:00

SessionConnecting Molecular Biology Sensors to EBPR Performance

Session locationRoom S502 - Level 5

TopicAdvanced Level, Facility Operations and Maintenance, Municipal Wastewater Treatment Design, Nutrients

Author(s)

Menniti, Adrienne

Author(s)A. Menniti 1; J. Ambler 2 ; J. Mejia Franco 3; R. Cusick 4; A. Menniti 1;

Author affiliation(s)Chemical Engineering, Université Laval, 1065 Avenue de la Médecine, Québec, QC, Canada 1; SENTRY Water Technologies 2 ; SENTRY Water Technologies 3; University of Illinois at Urbana-Champaign 4; Clean Water Services 1;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159084

Volume / Issue

Content sourceWEFTEC

Word count18

Base text size -

Menniti, Adrienne

About Menniti, Adrienne

My Recent Activity