E2.09 Newhart 2017 ReNUWIt Annual Meeting Poster

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Abstract/Contents

Abstract
Onsite, decentralized, and satellite wastewater treatment facilities are ideal to meet the increasing water demand and wastewater production in the US. As urban centers grow, smaller facilities ease the stress on wastewater collection systems by reducing flow, and enable wastewater reuse at the point of generation, which reduces potable water consumption. However, working on a smaller scale poses challenges — changes in influent quality can cause biological system disturbances that are difficult to recover from, and can put facilities out of compliance. Early fault detection is key to preventing downtime, avoiding effluent limit exceedances, and reducing the cost of operation. A program designed to identify system faults is developed using multivariate statistical analysis, and challenged by common faults in activated sludge wastewater treatment systems. Additionally, the early-detection program is designed to optimize system operation to meet a desired effluent quality, allowing for greater control when producing water for potable or non-potable reuse.

Description

Type of resource other
Date created May 2017

Creators/Contributors

Author Newhart, Kathryn
Author Odom, G.J.
Author Li, P.
Author Hering, A.S.
Author Camp, T.
Author Cath, Tzahi

Subjects

Subject Re-inventing the Nation’s Urban Water Infrastructure
Subject ReNUWIt
Subject E2.09
Subject Efficient Engineered Systems
Subject Energy and resource recovery
Subject Mines Park
Subject Golden
Subject Colorado
Subject fault detection
Subject management
Subject optimization
Subject sensors
Subject statistical process control
Subject wastewater treatment

Bibliographic information

Related Publication Newhart, K. B., Holloway, R. W., Hering, A. S., & Cath, T. Y. (2019). Data-driven performance analyses of wastewater treatment plants: A review. Water Research, 157, 498-513. http://doi.org/10.1016/j.watres.2019.03.030 Y9
Location https://purl.stanford.edu/jd706kd1921

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License
This work is licensed under an Open Data Commons Attribution License v1.0.

Preferred citation

Preferred Citation
Newhart, K.B., Odom, G.J., Li, P., Hering, A.S., Camp, T., & Cath, T.Y. (2017). E2.09 Newhart 2017 ReNUWIt Annual Meeting Poster. Stanford Digital Repository. Available at: https://purl.stanford.edu/jd706kd1921

Collection

Re-inventing the Nation's Urban Water Infrastructure (ReNUWIt)

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Contact information

Contact
tcath@mines.edu

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