A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

Villez, Kris; Vanrolleghem, Peter A.; Corominas, Lluís

doi:10.1016/j.compchemeng.2020.106880

A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

Journal Article · 06 May 2020 · Computers and Chemical Engineering

DOI:https://doi.org/10.1016/j.compchemeng.2020.106880· OSTI ID:1617791

Villez, Kris ^[1]; ^[2]; ^[3]

Eawag, Dübendorf (Switzerland); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. Laval, Quebec (Canada)
Catalan Inst. for Water Research, Girona (Spain); Univ. de Girona (Spain)

The advent of affordable computing, low-cost sensor hardware, and high-speed and reliable communications have spurred installation of ubiquitous sensors in complex engineered systems. However, ensuring reliable data quality remains a challenge. Exploitation of redundancy among sensor signals can help improving the precision of measured variables, detecting the presence of gross errors, and identifying faulty sensors. The cost of sensor ownership, maintenance efforts in particular, can still be cost-prohibitive however. Maximizing the ability to assess and control data quality while minimizing the cost of ownership thus requires a careful sensor placement. To solve this challenge, in this work we develop a generally applicable method to solve the multi-objective sensor placement problem in systems governed by linear and bilinear balance equations. Importantly, the method computes all Pareto-optimal sensor layouts with conventional computational resources and requires no information about the expected sensor quality.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; Natural Sciences and Engineering Research Council of Canada (NSERC); Ramon and Cajal Grant

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1617791

Journal Information:: Computers and Chemical Engineering, Journal Name: Computers and Chemical Engineering Journal Issue: C Vol. 139; ISSN 0098-1354

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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42 ENGINEERING
Bilinear balance equations
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A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants

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