2021
DOI: 10.31224/osf.io/4myz5
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How well can inaccurate sensors quantify and improve the performance of a fleet of on-site wastewater treatment plants?

Abstract: On-site wastewater treatment plants (OSTs) are widely seen as a stopgap solution, mainly because of a lack of monitoring and the resulting unreliable treatment performance. To address this concern, low maintenance, but inaccurate soft sensors are emerging. However, the impact of this inaccuracy on the treatment performance of entire fleets of OSTs has not been quantified. We develop a stochastic model to estimate these performances. In the modelled case soft sensors with a 70% accuracy improve the treatment pe… Show more

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“…An earlier version of this manuscript has been published in the PhD thesis "Monitoring and quantifying the treatment performance of on-site wastewater treatment plants" 48 and as a preprint. 49 The authors declare no competing financial interest.…”
Section: Author Contributionsmentioning
confidence: 99%
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“…An earlier version of this manuscript has been published in the PhD thesis "Monitoring and quantifying the treatment performance of on-site wastewater treatment plants" 48 and as a preprint. 49 The authors declare no competing financial interest.…”
Section: Author Contributionsmentioning
confidence: 99%
“…The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (). An earlier version of this manuscript has been published in the PhD thesis “Monitoring and quantifying the treatment performance of on-site wastewater treatment plants” and as a preprint …”
mentioning
confidence: 99%