Sensor bias impact on efficient aeration control during diurnal load variations

This study highlights the need to increase our understanding of the interplay between sensor drift and the performance of the automatic control system. The impact from biased sensors on the automatic control systems is rarely considered when different control strategies are assessed in water resourc...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Oscar Samuelsson, Gustaf Olsson, Erik Lindblom, Anders Björk, Bengt Carlsson
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	ammonium-based aeration control ammonium sensor box–behnken data quality do sensor sensor drift Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/9296c570b5644c68aa49423c658aec34
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9296c570b5644c68aa49423c658aec34
record_format	dspace
spelling	oai:doaj.org-article:9296c570b5644c68aa49423c658aec342021-11-06T10:52:26ZSensor bias impact on efficient aeration control during diurnal load variations0273-12231996-973210.2166/wst.2021.031https://doaj.org/article/9296c570b5644c68aa49423c658aec342021-03-01T00:00:00Zhttp://wst.iwaponline.com/content/83/6/1335https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732This study highlights the need to increase our understanding of the interplay between sensor drift and the performance of the automatic control system. The impact from biased sensors on the automatic control systems is rarely considered when different control strategies are assessed in water resource recovery facilities. Still, the harsh measurement environment with negative effects on sensor data quality is widely acknowledged. Simulations were used to show how sensor bias in an ammonium cascade feedback controller impacts aeration energy efficiency and total nitrogen removal in an activated sludge process. Response surface methodology was used to reduce the required number of simulations, and to consider the combined effect of two simultaneously biased sensors. The effects from flow variations, and negatively biased ammonium (−1 mg/L) and suspended solids sensors (−500 mg/L) reduced the nitrification aeration energy efficiency by between 7 and 25%. Less impact was seen on total nitrogen removal. There were no added non-linear effects from the two simultaneously biased sensors, apart from an interaction between a biased ammonium sensor and dissolved oxygen sensor located in the last aerated zone. Negative effects from sensor bias can partly be limited if the expected bias direction is considered when the controller setpoint-limits are defined. HIGHLIGHTS Sensor bias needs to be included in control system benchmark studies to shift focus from idealized studies, to realistic assumptions.; Sensor drift direction and magnitude need to be further studied.; Response surface methodology can be used to facilitate assessment of several simultanously biased sensors.;Oscar SamuelssonGustaf OlssonErik LindblomAnders BjörkBengt CarlssonIWA Publishingarticleammonium-based aeration controlammonium sensorbox–behnkendata qualitydo sensorsensor driftEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 6, Pp 1335-1346 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ammonium-based aeration control ammonium sensor box–behnken data quality do sensor sensor drift Environmental technology. Sanitary engineering TD1-1066
spellingShingle	ammonium-based aeration control ammonium sensor box–behnken data quality do sensor sensor drift Environmental technology. Sanitary engineering TD1-1066 Oscar Samuelsson Gustaf Olsson Erik Lindblom Anders Björk Bengt Carlsson Sensor bias impact on efficient aeration control during diurnal load variations
description	This study highlights the need to increase our understanding of the interplay between sensor drift and the performance of the automatic control system. The impact from biased sensors on the automatic control systems is rarely considered when different control strategies are assessed in water resource recovery facilities. Still, the harsh measurement environment with negative effects on sensor data quality is widely acknowledged. Simulations were used to show how sensor bias in an ammonium cascade feedback controller impacts aeration energy efficiency and total nitrogen removal in an activated sludge process. Response surface methodology was used to reduce the required number of simulations, and to consider the combined effect of two simultaneously biased sensors. The effects from flow variations, and negatively biased ammonium (−1 mg/L) and suspended solids sensors (−500 mg/L) reduced the nitrification aeration energy efficiency by between 7 and 25%. Less impact was seen on total nitrogen removal. There were no added non-linear effects from the two simultaneously biased sensors, apart from an interaction between a biased ammonium sensor and dissolved oxygen sensor located in the last aerated zone. Negative effects from sensor bias can partly be limited if the expected bias direction is considered when the controller setpoint-limits are defined. HIGHLIGHTS Sensor bias needs to be included in control system benchmark studies to shift focus from idealized studies, to realistic assumptions.; Sensor drift direction and magnitude need to be further studied.; Response surface methodology can be used to facilitate assessment of several simultanously biased sensors.;
format	article
author	Oscar Samuelsson Gustaf Olsson Erik Lindblom Anders Björk Bengt Carlsson
author_facet	Oscar Samuelsson Gustaf Olsson Erik Lindblom Anders Björk Bengt Carlsson
author_sort	Oscar Samuelsson
title	Sensor bias impact on efficient aeration control during diurnal load variations
title_short	Sensor bias impact on efficient aeration control during diurnal load variations
title_full	Sensor bias impact on efficient aeration control during diurnal load variations
title_fullStr	Sensor bias impact on efficient aeration control during diurnal load variations
title_full_unstemmed	Sensor bias impact on efficient aeration control during diurnal load variations
title_sort	sensor bias impact on efficient aeration control during diurnal load variations
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/9296c570b5644c68aa49423c658aec34
work_keys_str_mv	AT oscarsamuelsson sensorbiasimpactonefficientaerationcontrolduringdiurnalloadvariations AT gustafolsson sensorbiasimpactonefficientaerationcontrolduringdiurnalloadvariations AT eriklindblom sensorbiasimpactonefficientaerationcontrolduringdiurnalloadvariations AT andersbjork sensorbiasimpactonefficientaerationcontrolduringdiurnalloadvariations AT bengtcarlsson sensorbiasimpactonefficientaerationcontrolduringdiurnalloadvariations
_version_	1718443746135113728

Sensor bias impact on efficient aeration control during diurnal load variations

Ejemplares similares