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DOE OSTI · 3002278

Advanced Data Management for the Wastewater Industry

Sharma, Naushita [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000175525854)·Lemar Jr., Paul [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)]·Price, Christopher [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)]·Asmar Awad, Rima [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000233407742)
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Abstract

This information sheet discusses the technology pillar Advanced Data Management as a pathway toward improving wastewater infrastructure sustainability and resiliency. To supplement existing literature on current technologies and policies for improving resiliency at wastewater treatment plants (WWTPs), this document aims to accomplish the following: • Summarize key technologies such as Supervisory Control and Data Acquisition (SCADA), digital twins, and smart sensors • Summarize relevant cybersecurity measures and data management tools available for WW utilities • Summarize advances in sensing and monitoring technologies • Serve as a comprehensive (though not exhaustive) repository for data management for wastewater utilities The Advanced Management Technical Information Sheet should be viewed as a general guide to established best practices for the water and wastewater sector when considering implementing energy capture and energy- or process-efficient technologies. Further details are presented in the SWIFt Technology Information Sheet Series for accompanying Technology Pillars.

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Sharma, Naushita [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000175525854), Lemar Jr., Paul [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)], Price, Christopher [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)], Asmar Awad, Rima [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000233407742). 2025-10-01. Advanced Data Management for the Wastewater Industry. https://doi.org/10.2172/3002278

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