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Description: Clean Water Services ODIN Pilot Case Study
Clean Water Services ODIN Pilot Case Study
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Description: Clean Water Services ODIN Pilot Case Study
Clean Water Services ODIN Pilot Case Study

Clean Water Services ODIN Pilot Case Study

Clean Water Services ODIN Pilot Case Study

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Description: Clean Water Services ODIN Pilot Case Study
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
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
Copyright2023
Word count8

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Description: Clean Water Services ODIN Pilot Case Study
Clean Water Services ODIN Pilot Case Study
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Description: Clean Water Services ODIN Pilot Case Study
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
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
Copyright2023
Word count8

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Menniti, Adrienne. Clean Water Services ODIN Pilot Case Study. Water Environment Federation, 2023. Web. 16 Jun. 2025. <https://www.accesswater.org?id=-10097628CITANCHOR>.
Menniti, Adrienne. Clean Water Services ODIN Pilot Case Study. Water Environment Federation, 2023. Accessed June 16, 2025. https://www.accesswater.org/?id=-10097628CITANCHOR.
Menniti, Adrienne
Clean Water Services ODIN Pilot Case Study
Access Water
Water Environment Federation
October 3, 2023
June 16, 2025
https://www.accesswater.org/?id=-10097628CITANCHOR