Use pH and ORP as fuzzy control parameters of denitrification in SBR process

In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and andogenous carbon source on the relationships between pH, ORP and denitrification were investigated....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water science and technology 2002-01, Vol.46 (4-5), p.131-137
Hauptverfasser: PENG, Y. Z, GAO, J. F, WANG, S. Y, SUI, M. H
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 137
container_issue 4-5
container_start_page 131
container_title Water science and technology
container_volume 46
creator PENG, Y. Z
GAO, J. F
WANG, S. Y
SUI, M. H
description In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and andogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.
doi_str_mv 10.2166/wst.2002.0569
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_72147393</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>16139598</sourcerecordid><originalsourceid>FETCH-LOGICAL-c473t-ab4eaa3571de745f20e64bfa0b3c49fe89cc761af6a1ea9aa01a6137684dc0563</originalsourceid><addsrcrecordid>eNqN0s9LHDEUB_BQLbpuPfYqAal4mW1eXiaZHKu0Wliw2Hoe3mYSGJmdWZMZiv71zdYFoQftKZcP70fel7GPIBYStP78O40LKYRciFLbd2wG1urCGpR77NiaCiqFaJXEcp_NhDRYgJR4yI5SuhdCGFTigB2CRA1CwIwt75Lnm2tOfcNvbn9wSjxMT0-P3A39GIeObyjS2o8-Jj4E3vi-HWMbWkdjO_S87fnPi1u-iYPzKX1g7wN1yR_v3jm7-_b11-V1sby5-n75ZVk4ZXAsaKU8EZYGGm9UGaTwWq0CiRU6ZYOvrHNGAwVN4MkSCSANaHSlGpfXxjk7e66b-z5MPo31uk3Odx31fphSbSTkRhbfhNJagWjMf0BdojLwJoQ8qC1tleH561BIpUul83Xm7PQfej9Msc8_WINVqKSSfzsXz8rFIaXoQ72J7ZriYy5Vb6NR52jU22jU22hkf7KrOq3WvnnRu9tn8GkHKDnqQqTetenFKahkXgT_ALqbvCU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1943424271</pqid></control><display><type>article</type><title>Use pH and ORP as fuzzy control parameters of denitrification in SBR process</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>PENG, Y. Z ; GAO, J. F ; WANG, S. Y ; SUI, M. H</creator><creatorcontrib>PENG, Y. Z ; GAO, J. F ; WANG, S. Y ; SUI, M. H</creatorcontrib><description>In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and andogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.</description><identifier>ISSN: 0273-1223</identifier><identifier>ISBN: 9781843394235</identifier><identifier>ISBN: 1843394235</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2002.0569</identifier><identifier>PMID: 12361001</identifier><identifier>CODEN: WSTED4</identifier><language>eng</language><publisher>London: IWA</publisher><subject>Acetates ; Acetic acid ; Aeration ; Applied sciences ; Automation ; Batch reactors ; Biological and medical sciences ; Biological treatment of waters ; Bioreactors ; Biotechnology ; Breweries ; Brewing industry wastewaters ; Carbon ; Carbon sources ; Control ; Control methods ; Denitrification ; Environment and pollution ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Fuzzy control ; Fuzzy Logic ; Hydrogen-Ion Concentration ; Industrial applications and implications. Economical aspects ; Industrial wastewaters ; Knee ; Limiting factors ; Nitrogen - isolation &amp; purification ; Parameters ; pH effects ; Pollution ; Profiles ; Sequencing batch reactor ; Sodium ; Sodium acetate ; Waste Disposal, Fluid - methods ; Wastewater ; Wastewaters ; Water treatment and pollution</subject><ispartof>Water science and technology, 2002-01, Vol.46 (4-5), p.131-137</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright IWA Publishing Aug 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-ab4eaa3571de745f20e64bfa0b3c49fe89cc761af6a1ea9aa01a6137684dc0563</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,776,780,785,786,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=14182983$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12361001$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>PENG, Y. Z</creatorcontrib><creatorcontrib>GAO, J. F</creatorcontrib><creatorcontrib>WANG, S. Y</creatorcontrib><creatorcontrib>SUI, M. H</creatorcontrib><title>Use pH and ORP as fuzzy control parameters of denitrification in SBR process</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and andogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.</description><subject>Acetates</subject><subject>Acetic acid</subject><subject>Aeration</subject><subject>Applied sciences</subject><subject>Automation</subject><subject>Batch reactors</subject><subject>Biological and medical sciences</subject><subject>Biological treatment of waters</subject><subject>Bioreactors</subject><subject>Biotechnology</subject><subject>Breweries</subject><subject>Brewing industry wastewaters</subject><subject>Carbon</subject><subject>Carbon sources</subject><subject>Control</subject><subject>Control methods</subject><subject>Denitrification</subject><subject>Environment and pollution</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fuzzy control</subject><subject>Fuzzy Logic</subject><subject>Hydrogen-Ion Concentration</subject><subject>Industrial applications and implications. Economical aspects</subject><subject>Industrial wastewaters</subject><subject>Knee</subject><subject>Limiting factors</subject><subject>Nitrogen - isolation &amp; purification</subject><subject>Parameters</subject><subject>pH effects</subject><subject>Pollution</subject><subject>Profiles</subject><subject>Sequencing batch reactor</subject><subject>Sodium</subject><subject>Sodium acetate</subject><subject>Waste Disposal, Fluid - methods</subject><subject>Wastewater</subject><subject>Wastewaters</subject><subject>Water treatment and pollution</subject><issn>0273-1223</issn><issn>1996-9732</issn><isbn>9781843394235</isbn><isbn>1843394235</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqN0s9LHDEUB_BQLbpuPfYqAal4mW1eXiaZHKu0Wliw2Hoe3mYSGJmdWZMZiv71zdYFoQftKZcP70fel7GPIBYStP78O40LKYRciFLbd2wG1urCGpR77NiaCiqFaJXEcp_NhDRYgJR4yI5SuhdCGFTigB2CRA1CwIwt75Lnm2tOfcNvbn9wSjxMT0-P3A39GIeObyjS2o8-Jj4E3vi-HWMbWkdjO_S87fnPi1u-iYPzKX1g7wN1yR_v3jm7-_b11-V1sby5-n75ZVk4ZXAsaKU8EZYGGm9UGaTwWq0CiRU6ZYOvrHNGAwVN4MkSCSANaHSlGpfXxjk7e66b-z5MPo31uk3Odx31fphSbSTkRhbfhNJagWjMf0BdojLwJoQ8qC1tleH561BIpUul83Xm7PQfej9Msc8_WINVqKSSfzsXz8rFIaXoQ72J7ZriYy5Vb6NR52jU22jU22hkf7KrOq3WvnnRu9tn8GkHKDnqQqTetenFKahkXgT_ALqbvCU</recordid><startdate>20020101</startdate><enddate>20020101</enddate><creator>PENG, Y. Z</creator><creator>GAO, J. F</creator><creator>WANG, S. Y</creator><creator>SUI, M. H</creator><general>IWA</general><general>IWA Publishing</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7ST</scope><scope>SOI</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>20020101</creationdate><title>Use pH and ORP as fuzzy control parameters of denitrification in SBR process</title><author>PENG, Y. Z ; GAO, J. F ; WANG, S. Y ; SUI, M. H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-ab4eaa3571de745f20e64bfa0b3c49fe89cc761af6a1ea9aa01a6137684dc0563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Acetates</topic><topic>Acetic acid</topic><topic>Aeration</topic><topic>Applied sciences</topic><topic>Automation</topic><topic>Batch reactors</topic><topic>Biological and medical sciences</topic><topic>Biological treatment of waters</topic><topic>Bioreactors</topic><topic>Biotechnology</topic><topic>Breweries</topic><topic>Brewing industry wastewaters</topic><topic>Carbon</topic><topic>Carbon sources</topic><topic>Control</topic><topic>Control methods</topic><topic>Denitrification</topic><topic>Environment and pollution</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fuzzy control</topic><topic>Fuzzy Logic</topic><topic>Hydrogen-Ion Concentration</topic><topic>Industrial applications and implications. Economical aspects</topic><topic>Industrial wastewaters</topic><topic>Knee</topic><topic>Limiting factors</topic><topic>Nitrogen - isolation &amp; purification</topic><topic>Parameters</topic><topic>pH effects</topic><topic>Pollution</topic><topic>Profiles</topic><topic>Sequencing batch reactor</topic><topic>Sodium</topic><topic>Sodium acetate</topic><topic>Waste Disposal, Fluid - methods</topic><topic>Wastewater</topic><topic>Wastewaters</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>PENG, Y. Z</creatorcontrib><creatorcontrib>GAO, J. F</creatorcontrib><creatorcontrib>WANG, S. Y</creatorcontrib><creatorcontrib>SUI, M. H</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environment Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>PENG, Y. Z</au><au>GAO, J. F</au><au>WANG, S. Y</au><au>SUI, M. H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use pH and ORP as fuzzy control parameters of denitrification in SBR process</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2002-01-01</date><risdate>2002</risdate><volume>46</volume><issue>4-5</issue><spage>131</spage><epage>137</epage><pages>131-137</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><isbn>9781843394235</isbn><isbn>1843394235</isbn><coden>WSTED4</coden><abstract>In order to achieve fuzzy control of denitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effects of brewery wastewater, sodium acetate, methanol and andogenous carbon source on the relationships between pH, ORP and denitrification were investigated. Also different quantities of brewery wastewater were examined. All the results indicated that the nitrate apex and nitrate knee occurred in the pH and ORP profiles at the end of denitrification. And when carbon was the limiting factor, through comparing the different increasing rate of pH whether the carbon was enough or not could be known, and when the carbon should be added again could be decided. On the basis of this, the fuzzy controller for denitrification in SBR was constructed, and the on-line fuzzy control experiments comparing three methods of carbon addition were carried out. The results showed that continuous carbon addition at a low rate might be the best method, it could not only give higher denitrification rate but also reduce the re-aeration time as much as possible. It appears promising to use pH and ORP as fuzzy control parameters to control the denitrification time and the addition of carbon.</abstract><cop>London</cop><pub>IWA</pub><pmid>12361001</pmid><doi>10.2166/wst.2002.0569</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0273-1223
ispartof Water science and technology, 2002-01, Vol.46 (4-5), p.131-137
issn 0273-1223
1996-9732
language eng
recordid cdi_proquest_miscellaneous_72147393
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Acetates
Acetic acid
Aeration
Applied sciences
Automation
Batch reactors
Biological and medical sciences
Biological treatment of waters
Bioreactors
Biotechnology
Breweries
Brewing industry wastewaters
Carbon
Carbon sources
Control
Control methods
Denitrification
Environment and pollution
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Fuzzy control
Fuzzy Logic
Hydrogen-Ion Concentration
Industrial applications and implications. Economical aspects
Industrial wastewaters
Knee
Limiting factors
Nitrogen - isolation & purification
Parameters
pH effects
Pollution
Profiles
Sequencing batch reactor
Sodium
Sodium acetate
Waste Disposal, Fluid - methods
Wastewater
Wastewaters
Water treatment and pollution
title Use pH and ORP as fuzzy control parameters of denitrification in SBR process
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T05%3A42%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Use%20pH%20and%20ORP%20as%20fuzzy%20control%20parameters%20of%20denitrification%20in%20SBR%20process&rft.jtitle=Water%20science%20and%20technology&rft.au=PENG,%20Y.%20Z&rft.date=2002-01-01&rft.volume=46&rft.issue=4-5&rft.spage=131&rft.epage=137&rft.pages=131-137&rft.issn=0273-1223&rft.eissn=1996-9732&rft.isbn=9781843394235&rft.isbn_list=1843394235&rft.coden=WSTED4&rft_id=info:doi/10.2166/wst.2002.0569&rft_dat=%3Cproquest_cross%3E16139598%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1943424271&rft_id=info:pmid/12361001&rfr_iscdi=true