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PSA - Perform a Study of the Potential Benefits to Deploy the BLU-X Treatment Discovery Project for SB WWTP - EmNet LLC
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PSA - Perform a Study of the Potential Benefits to Deploy the BLU-X Treatment Discovery Project for SB WWTP - EmNet LLC
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4/9/2025 9:29:25 AM
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5/27/2020 10:04:34 AM
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Board of Public Works
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Contracts
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5/26/2020
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0 South Bend is interested in using BLU-X for optimizing its WWTP as it can bring <br />together real time data and advanced control algorithms to minimize energy <br />consumption and chemical inputs while ensuring effluent water quality standards. <br />BLU-X has been leveraged to characterize and optimize wastewater collection <br />systems and treatment facilities in more than 55 cities around the world — helping <br />utilities improve operations, stay in compliance, and reduce capital expenditures and <br />operating costs. EmNet's success is based on a collaborative "Glass -Box" approach, <br />which utilizes both proprietary and open -source software in an open architecture <br />environment. <br />Background- <br />0 South Bend WWTP is designed to treat an average flow of 48 million gallons per day <br />and can treat at least 77 million gallons per day under high flow. <br />0 South Bend WWTP operates under a National Pollutant Discharge Elimination System <br />(NPDES) permit issued by the Indiana Department of Environmental Management. <br />Under stringent NPDES permit conditions, the plant discharges treated wastewater to <br />the St. Joseph River. <br />Figure 1. South Bend Wastewater Treatment Plant (South Bend, IN) <br />The BLU-X Treatment Solution: <br />The BLU-X platform allows our clients to match their treatment process to the specific <br />make-up of wastewater entering the plant in real time. To achieve optimal operational <br />efficiency, BLU-X goes beyond static setpoint controllers (such as PIDs) and implements <br />an advanced control system based on a real time digital twin model. The BLU-X team <br />builds these digital twin models using Neural Network (NN) of the carbon, nitrogen, and <br />phosphorous elimination processes based on data from the plant's existing SCADA <br />system (Figure 2). Using this real time digital twin, the system can create an optimization <br />Page 2 of 6 <br />
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