Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques
The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions....
Gespeichert in:
Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2014-04, Vol.63 (4), p.953-963 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 963 |
---|---|
container_issue | 4 |
container_start_page | 953 |
container_title | IEEE transactions on instrumentation and measurement |
container_volume | 63 |
creator | Han, Xiaojuan Yan, Yong Cheng, Cheng Chen, Yueyan Zhu, Yanglin |
description | The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions. A cloud model is incorporated into the measurement system. In consideration of the temporal and spatial characteristics of the oxygen sensors, a quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in the flue gas is calculated using mean value, space fusion, and space-time fusion methods, respectively. The temperatures of both flue gas and cold air are also measured to calculate the heat loss of the flue gas and the combustion efficiency of the boiler. On-plant demonstration results show that the proposed method produces more accurate measurements than those from the mean value method, leading to increased combustion efficiency and reduced heat loss. |
doi_str_mv | 10.1109/TIM.2013.2287117 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1506723178</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6658913</ieee_id><sourcerecordid>3244503811</sourcerecordid><originalsourceid>FETCH-LOGICAL-c324t-4d2786e7c8da896f86b6f8436322b08a526cb398698e6ecc49d3eb08289858733</originalsourceid><addsrcrecordid>eNpdkM1PwkAQxTdGExG9m3jZxIuX4n50v46GCJJI4ADnZmmnUFK6uNtG-e_dBuLBy0wm83tvJg-hR0pGlBLzuprNR4xQPmJMK0rVFRpQIVRipGTXaEAI1YlJhbxFdyHsCSFKpmqAdnPXVK3zVbPFrsSLn9MWGjx2TQtNi6sGtzvAk7oDPLUB2xbbuLR1Mqk8FHjpvsHjZW0juw69x7h2XYHnroC6H1eQ75rqq4Nwj25KWwd4uPQhWk_eV-OP5HMxnY3fPpOcs7RN0oIpLUHlurDayFLLTSwpl5yxDdFWMJlvuNHSaJCQ56kpOMQF00YLrTgfopez79G7_m6bHaqQQx1_BNeFjApGuBKMiog-_0P3rvNN_C5SRCrGqdKRImcq9y4ED2V29NXB-lNGSdZHn8Xosz767BJ9lDydJRUA_OFSCm0o57_Su31K</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506723178</pqid></control><display><type>article</type><title>Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques</title><source>IEEE Xplore</source><creator>Han, Xiaojuan ; Yan, Yong ; Cheng, Cheng ; Chen, Yueyan ; Zhu, Yanglin</creator><creatorcontrib>Han, Xiaojuan ; Yan, Yong ; Cheng, Cheng ; Chen, Yueyan ; Zhu, Yanglin</creatorcontrib><description>The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions. A cloud model is incorporated into the measurement system. In consideration of the temporal and spatial characteristics of the oxygen sensors, a quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in the flue gas is calculated using mean value, space fusion, and space-time fusion methods, respectively. The temperatures of both flue gas and cold air are also measured to calculate the heat loss of the flue gas and the combustion efficiency of the boiler. On-plant demonstration results show that the proposed method produces more accurate measurements than those from the mean value method, leading to increased combustion efficiency and reduced heat loss.</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2013.2287117</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Cloud model ; Clouds ; Coal-fired power plants ; Combustion ; combustion efficiency ; Flue gas ; Generators ; heat loss ; Numerical models ; oxygen content ; Sensors ; space fusion ; space-time fusion ; Temperature measurement ; Zirconium</subject><ispartof>IEEE transactions on instrumentation and measurement, 2014-04, Vol.63 (4), p.953-963</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-4d2786e7c8da896f86b6f8436322b08a526cb398698e6ecc49d3eb08289858733</citedby><cites>FETCH-LOGICAL-c324t-4d2786e7c8da896f86b6f8436322b08a526cb398698e6ecc49d3eb08289858733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6658913$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6658913$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Han, Xiaojuan</creatorcontrib><creatorcontrib>Yan, Yong</creatorcontrib><creatorcontrib>Cheng, Cheng</creatorcontrib><creatorcontrib>Chen, Yueyan</creatorcontrib><creatorcontrib>Zhu, Yanglin</creatorcontrib><title>Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions. A cloud model is incorporated into the measurement system. In consideration of the temporal and spatial characteristics of the oxygen sensors, a quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in the flue gas is calculated using mean value, space fusion, and space-time fusion methods, respectively. The temperatures of both flue gas and cold air are also measured to calculate the heat loss of the flue gas and the combustion efficiency of the boiler. On-plant demonstration results show that the proposed method produces more accurate measurements than those from the mean value method, leading to increased combustion efficiency and reduced heat loss.</description><subject>Cloud model</subject><subject>Clouds</subject><subject>Coal-fired power plants</subject><subject>Combustion</subject><subject>combustion efficiency</subject><subject>Flue gas</subject><subject>Generators</subject><subject>heat loss</subject><subject>Numerical models</subject><subject>oxygen content</subject><subject>Sensors</subject><subject>space fusion</subject><subject>space-time fusion</subject><subject>Temperature measurement</subject><subject>Zirconium</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkM1PwkAQxTdGExG9m3jZxIuX4n50v46GCJJI4ADnZmmnUFK6uNtG-e_dBuLBy0wm83tvJg-hR0pGlBLzuprNR4xQPmJMK0rVFRpQIVRipGTXaEAI1YlJhbxFdyHsCSFKpmqAdnPXVK3zVbPFrsSLn9MWGjx2TQtNi6sGtzvAk7oDPLUB2xbbuLR1Mqk8FHjpvsHjZW0juw69x7h2XYHnroC6H1eQ75rqq4Nwj25KWwd4uPQhWk_eV-OP5HMxnY3fPpOcs7RN0oIpLUHlurDayFLLTSwpl5yxDdFWMJlvuNHSaJCQ56kpOMQF00YLrTgfopez79G7_m6bHaqQQx1_BNeFjApGuBKMiog-_0P3rvNN_C5SRCrGqdKRImcq9y4ED2V29NXB-lNGSdZHn8Xosz767BJ9lDydJRUA_OFSCm0o57_Su31K</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Han, Xiaojuan</creator><creator>Yan, Yong</creator><creator>Cheng, Cheng</creator><creator>Chen, Yueyan</creator><creator>Zhu, Yanglin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>7TG</scope><scope>7TV</scope><scope>C1K</scope><scope>KL.</scope></search><sort><creationdate>20140401</creationdate><title>Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques</title><author>Han, Xiaojuan ; Yan, Yong ; Cheng, Cheng ; Chen, Yueyan ; Zhu, Yanglin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-4d2786e7c8da896f86b6f8436322b08a526cb398698e6ecc49d3eb08289858733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Cloud model</topic><topic>Clouds</topic><topic>Coal-fired power plants</topic><topic>Combustion</topic><topic>combustion efficiency</topic><topic>Flue gas</topic><topic>Generators</topic><topic>heat loss</topic><topic>Numerical models</topic><topic>oxygen content</topic><topic>Sensors</topic><topic>space fusion</topic><topic>space-time fusion</topic><topic>Temperature measurement</topic><topic>Zirconium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Xiaojuan</creatorcontrib><creatorcontrib>Yan, Yong</creatorcontrib><creatorcontrib>Cheng, Cheng</creatorcontrib><creatorcontrib>Chen, Yueyan</creatorcontrib><creatorcontrib>Zhu, Yanglin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Han, Xiaojuan</au><au>Yan, Yong</au><au>Cheng, Cheng</au><au>Chen, Yueyan</au><au>Zhu, Yanglin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>2014-04-01</date><risdate>2014</risdate><volume>63</volume><issue>4</issue><spage>953</spage><epage>963</epage><pages>953-963</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions. A cloud model is incorporated into the measurement system. In consideration of the temporal and spatial characteristics of the oxygen sensors, a quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in the flue gas is calculated using mean value, space fusion, and space-time fusion methods, respectively. The temperatures of both flue gas and cold air are also measured to calculate the heat loss of the flue gas and the combustion efficiency of the boiler. On-plant demonstration results show that the proposed method produces more accurate measurements than those from the mean value method, leading to increased combustion efficiency and reduced heat loss.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIM.2013.2287117</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0018-9456 |
ispartof | IEEE transactions on instrumentation and measurement, 2014-04, Vol.63 (4), p.953-963 |
issn | 0018-9456 1557-9662 |
language | eng |
recordid | cdi_proquest_journals_1506723178 |
source | IEEE Xplore |
subjects | Cloud model Clouds Coal-fired power plants Combustion combustion efficiency Flue gas Generators heat loss Numerical models oxygen content Sensors space fusion space-time fusion Temperature measurement Zirconium |
title | Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T20%3A31%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Monitoring%20of%20Oxygen%20Content%20in%20the%20Flue%20Gas%20at%20a%20Coal-Fired%20Power%20Plant%20Using%20Cloud%20Modeling%20Techniques&rft.jtitle=IEEE%20transactions%20on%20instrumentation%20and%20measurement&rft.au=Han,%20Xiaojuan&rft.date=2014-04-01&rft.volume=63&rft.issue=4&rft.spage=953&rft.epage=963&rft.pages=953-963&rft.issn=0018-9456&rft.eissn=1557-9662&rft.coden=IEIMAO&rft_id=info:doi/10.1109/TIM.2013.2287117&rft_dat=%3Cproquest_RIE%3E3244503811%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1506723178&rft_id=info:pmid/&rft_ieee_id=6658913&rfr_iscdi=true |