Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system
Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventio...
Ausführliche Beschreibung
Autor*in: |
Yong, Ma [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2005 |
---|
Schlagwörter: |
---|
Anmerkung: |
© Springer-Verlag 2005 |
---|
Übergeordnetes Werk: |
Enthalten in: Bioprocess and biosystems engineering - Springer-Verlag, 2001, 27(2005), 4 vom: 18. Mai, Seite 223-228 |
---|---|
Übergeordnetes Werk: |
volume:27 ; year:2005 ; number:4 ; day:18 ; month:05 ; pages:223-228 |
Links: |
---|
DOI / URN: |
10.1007/s00449-004-0390-0 |
---|
Katalog-ID: |
OLC2106609957 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | OLC2106609957 | ||
003 | DE-627 | ||
005 | 20230403073228.0 | ||
007 | tu | ||
008 | 230403s2005 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1007/s00449-004-0390-0 |2 doi | |
035 | |a (DE-627)OLC2106609957 | ||
035 | |a (DE-He213)s00449-004-0390-0-p | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 660 |q VZ |
082 | 0 | 4 | |a 570 |a 690 |a 540 |q VZ |
084 | |a 12 |2 ssgn | ||
100 | 1 | |a Yong, Ma |e verfasserin |4 aut | |
245 | 1 | 0 | |a Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
264 | 1 | |c 2005 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a © Springer-Verlag 2005 | ||
520 | |a Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. | ||
650 | 4 | |a Energy-saving | |
650 | 4 | |a Feedforward-feedback control | |
650 | 4 | |a DO control | |
650 | 4 | |a Predenitrification | |
700 | 1 | |a Yongzhen, Peng |4 aut | |
700 | 1 | |a Shuying, Wang |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Bioprocess and biosystems engineering |d Springer-Verlag, 2001 |g 27(2005), 4 vom: 18. Mai, Seite 223-228 |w (DE-627)333469763 |w (DE-600)2056063-1 |w (DE-576)094533709 |x 1615-7591 |7 nnns |
773 | 1 | 8 | |g volume:27 |g year:2005 |g number:4 |g day:18 |g month:05 |g pages:223-228 |
856 | 4 | 1 | |u https://doi.org/10.1007/s00449-004-0390-0 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-UMW | ||
912 | |a SSG-OLC-ARC | ||
912 | |a SSG-OLC-TEC | ||
912 | |a SSG-OLC-CHE | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_2006 | ||
912 | |a GBV_ILN_2018 | ||
912 | |a GBV_ILN_4046 | ||
912 | |a GBV_ILN_4277 | ||
912 | |a GBV_ILN_4307 | ||
951 | |a AR | ||
952 | |d 27 |j 2005 |e 4 |b 18 |c 05 |h 223-228 |
author_variant |
m y my p y py w s ws |
---|---|
matchkey_str |
article:16157591:2005----::edowrfebccnrlfisleoyecnetainnp |
hierarchy_sort_str |
2005 |
publishDate |
2005 |
allfields |
10.1007/s00449-004-0390-0 doi (DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p DE-627 ger DE-627 rakwb eng 660 VZ 570 690 540 VZ 12 ssgn Yong, Ma verfasserin aut Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2005 Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. Energy-saving Feedforward-feedback control DO control Predenitrification Yongzhen, Peng aut Shuying, Wang aut Enthalten in Bioprocess and biosystems engineering Springer-Verlag, 2001 27(2005), 4 vom: 18. Mai, Seite 223-228 (DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 1615-7591 nnns volume:27 year:2005 number:4 day:18 month:05 pages:223-228 https://doi.org/10.1007/s00449-004-0390-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 27 2005 4 18 05 223-228 |
spelling |
10.1007/s00449-004-0390-0 doi (DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p DE-627 ger DE-627 rakwb eng 660 VZ 570 690 540 VZ 12 ssgn Yong, Ma verfasserin aut Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2005 Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. Energy-saving Feedforward-feedback control DO control Predenitrification Yongzhen, Peng aut Shuying, Wang aut Enthalten in Bioprocess and biosystems engineering Springer-Verlag, 2001 27(2005), 4 vom: 18. Mai, Seite 223-228 (DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 1615-7591 nnns volume:27 year:2005 number:4 day:18 month:05 pages:223-228 https://doi.org/10.1007/s00449-004-0390-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 27 2005 4 18 05 223-228 |
allfields_unstemmed |
10.1007/s00449-004-0390-0 doi (DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p DE-627 ger DE-627 rakwb eng 660 VZ 570 690 540 VZ 12 ssgn Yong, Ma verfasserin aut Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2005 Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. Energy-saving Feedforward-feedback control DO control Predenitrification Yongzhen, Peng aut Shuying, Wang aut Enthalten in Bioprocess and biosystems engineering Springer-Verlag, 2001 27(2005), 4 vom: 18. Mai, Seite 223-228 (DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 1615-7591 nnns volume:27 year:2005 number:4 day:18 month:05 pages:223-228 https://doi.org/10.1007/s00449-004-0390-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 27 2005 4 18 05 223-228 |
allfieldsGer |
10.1007/s00449-004-0390-0 doi (DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p DE-627 ger DE-627 rakwb eng 660 VZ 570 690 540 VZ 12 ssgn Yong, Ma verfasserin aut Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2005 Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. Energy-saving Feedforward-feedback control DO control Predenitrification Yongzhen, Peng aut Shuying, Wang aut Enthalten in Bioprocess and biosystems engineering Springer-Verlag, 2001 27(2005), 4 vom: 18. Mai, Seite 223-228 (DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 1615-7591 nnns volume:27 year:2005 number:4 day:18 month:05 pages:223-228 https://doi.org/10.1007/s00449-004-0390-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 27 2005 4 18 05 223-228 |
allfieldsSound |
10.1007/s00449-004-0390-0 doi (DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p DE-627 ger DE-627 rakwb eng 660 VZ 570 690 540 VZ 12 ssgn Yong, Ma verfasserin aut Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2005 Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. Energy-saving Feedforward-feedback control DO control Predenitrification Yongzhen, Peng aut Shuying, Wang aut Enthalten in Bioprocess and biosystems engineering Springer-Verlag, 2001 27(2005), 4 vom: 18. Mai, Seite 223-228 (DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 1615-7591 nnns volume:27 year:2005 number:4 day:18 month:05 pages:223-228 https://doi.org/10.1007/s00449-004-0390-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 27 2005 4 18 05 223-228 |
language |
English |
source |
Enthalten in Bioprocess and biosystems engineering 27(2005), 4 vom: 18. Mai, Seite 223-228 volume:27 year:2005 number:4 day:18 month:05 pages:223-228 |
sourceStr |
Enthalten in Bioprocess and biosystems engineering 27(2005), 4 vom: 18. Mai, Seite 223-228 volume:27 year:2005 number:4 day:18 month:05 pages:223-228 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Energy-saving Feedforward-feedback control DO control Predenitrification |
dewey-raw |
660 |
isfreeaccess_bool |
false |
container_title |
Bioprocess and biosystems engineering |
authorswithroles_txt_mv |
Yong, Ma @@aut@@ Yongzhen, Peng @@aut@@ Shuying, Wang @@aut@@ |
publishDateDaySort_date |
2005-05-18T00:00:00Z |
hierarchy_top_id |
333469763 |
dewey-sort |
3660 |
id |
OLC2106609957 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2106609957</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230403073228.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230403s2005 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00449-004-0390-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2106609957</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00449-004-0390-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">690</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">12</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yong, Ma</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2005</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2005</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy-saving</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Feedforward-feedback control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DO control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Predenitrification</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yongzhen, Peng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shuying, Wang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Bioprocess and biosystems engineering</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">27(2005), 4 vom: 18. Mai, Seite 223-228</subfield><subfield code="w">(DE-627)333469763</subfield><subfield code="w">(DE-600)2056063-1</subfield><subfield code="w">(DE-576)094533709</subfield><subfield code="x">1615-7591</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:27</subfield><subfield code="g">year:2005</subfield><subfield code="g">number:4</subfield><subfield code="g">day:18</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:223-228</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00449-004-0390-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">27</subfield><subfield code="j">2005</subfield><subfield code="e">4</subfield><subfield code="b">18</subfield><subfield code="c">05</subfield><subfield code="h">223-228</subfield></datafield></record></collection>
|
author |
Yong, Ma |
spellingShingle |
Yong, Ma ddc 660 ddc 570 ssgn 12 misc Energy-saving misc Feedforward-feedback control misc DO control misc Predenitrification Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
authorStr |
Yong, Ma |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)333469763 |
format |
Article |
dewey-ones |
660 - Chemical engineering 570 - Life sciences; biology 690 - Buildings 540 - Chemistry & allied sciences |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
1615-7591 |
topic_title |
660 VZ 570 690 540 VZ 12 ssgn Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system Energy-saving Feedforward-feedback control DO control Predenitrification |
topic |
ddc 660 ddc 570 ssgn 12 misc Energy-saving misc Feedforward-feedback control misc DO control misc Predenitrification |
topic_unstemmed |
ddc 660 ddc 570 ssgn 12 misc Energy-saving misc Feedforward-feedback control misc DO control misc Predenitrification |
topic_browse |
ddc 660 ddc 570 ssgn 12 misc Energy-saving misc Feedforward-feedback control misc DO control misc Predenitrification |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
hierarchy_parent_title |
Bioprocess and biosystems engineering |
hierarchy_parent_id |
333469763 |
dewey-tens |
660 - Chemical engineering 570 - Life sciences; biology 690 - Building & construction 540 - Chemistry |
hierarchy_top_title |
Bioprocess and biosystems engineering |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)333469763 (DE-600)2056063-1 (DE-576)094533709 |
title |
Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
ctrlnum |
(DE-627)OLC2106609957 (DE-He213)s00449-004-0390-0-p |
title_full |
Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
author_sort |
Yong, Ma |
journal |
Bioprocess and biosystems engineering |
journalStr |
Bioprocess and biosystems engineering |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology 500 - Science |
recordtype |
marc |
publishDateSort |
2005 |
contenttype_str_mv |
txt |
container_start_page |
223 |
author_browse |
Yong, Ma Yongzhen, Peng Shuying, Wang |
container_volume |
27 |
class |
660 VZ 570 690 540 VZ 12 ssgn |
format_se |
Aufsätze |
author-letter |
Yong, Ma |
doi_str_mv |
10.1007/s00449-004-0390-0 |
dewey-full |
660 570 690 540 |
title_sort |
feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
title_auth |
Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
abstract |
Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. © Springer-Verlag 2005 |
abstractGer |
Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. © Springer-Verlag 2005 |
abstract_unstemmed |
Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants. © Springer-Verlag 2005 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_11 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 |
container_issue |
4 |
title_short |
Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system |
url |
https://doi.org/10.1007/s00449-004-0390-0 |
remote_bool |
false |
author2 |
Yongzhen, Peng Shuying, Wang |
author2Str |
Yongzhen, Peng Shuying, Wang |
ppnlink |
333469763 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s00449-004-0390-0 |
up_date |
2024-07-04T07:05:07.328Z |
_version_ |
1803631153462116352 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2106609957</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230403073228.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230403s2005 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00449-004-0390-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2106609957</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00449-004-0390-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">690</subfield><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">12</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yong, Ma</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Feedforward-feedback control of dissolved oxygen concentration in a predenitrification system</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2005</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2005</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract As the largest single energy-consuming component in most biological wastewater treatment systems, aeration control is of great interest from the point of view of saving energy and improving wastewater treatment plant efficiency. In this paper, three different strategies, including conventional constant dissolved oxygen (DO) set-point control, cascade DO set-point control, and feedforward-feedback DO set-point control were evaluated using the denitrification layout of the IWA simulation benchmark. Simulation studies showed that the feedforward-feedback DO set-point control strategy was better than the other control strategies at meeting the effluent standards and reducing operational costs. The control strategy works primarily by feedforward control based on an ammonium sensor located at the head of the aerobic process. It has an important advantage over effluent measurements in that there is no (or only a very short) time delay for information; feedforward control was combined with slow feedback control to compensate for model approximations. The feedforward-feedback DO control was implemented in a lab-scale wastewater treatment plant for a period of 60 days. Compared to operation with constant DO concentration, the required airflow could be reduced by up to 8–15% by employing the feedforward-feedback DO-control strategy, and the effluent ammonia concentration could be reduced by up to 15–25%. This control strategy can be expected to be accepted by the operating personnel in wastewater treatment plants.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy-saving</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Feedforward-feedback control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DO control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Predenitrification</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yongzhen, Peng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shuying, Wang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Bioprocess and biosystems engineering</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">27(2005), 4 vom: 18. Mai, Seite 223-228</subfield><subfield code="w">(DE-627)333469763</subfield><subfield code="w">(DE-600)2056063-1</subfield><subfield code="w">(DE-576)094533709</subfield><subfield code="x">1615-7591</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:27</subfield><subfield code="g">year:2005</subfield><subfield code="g">number:4</subfield><subfield code="g">day:18</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:223-228</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00449-004-0390-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">27</subfield><subfield code="j">2005</subfield><subfield code="e">4</subfield><subfield code="b">18</subfield><subfield code="c">05</subfield><subfield code="h">223-228</subfield></datafield></record></collection>
|
score |
7.400141 |