Software Versus Hardware Approach to Emissions Monitoring
Many operations use hardware-based continuous emissions monitoring systems (CEMS) to track boiler emissions. This hardware approach uses pumps, filters, and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming...
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Veröffentlicht in: | IEEE transactions on industry applications 2017-03, Vol.53 (2), p.1717-1721 |
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description | Many operations use hardware-based continuous emissions monitoring systems (CEMS) to track boiler emissions. This hardware approach uses pumps, filters, and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming as it requires daily deployments of calibration gases to confirm the system is providing accurate measurements. And when CEMs fail, data blackouts can occur. In addition, the lifespan of hardware is short, averaging eight to ten years. Due to these factors, more and more industrial operators are abandoning hardware in favor of software for emissions monitoring. This software approach is often referred to as a predictive emissions monitoring system. This paper compares the hardware and software approaches, and features a boiler application case study to showcase the financial advantages of the software approach. |
doi_str_mv | 10.1109/TIA.2016.2639456 |
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This hardware approach uses pumps, filters, and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming as it requires daily deployments of calibration gases to confirm the system is providing accurate measurements. And when CEMs fail, data blackouts can occur. In addition, the lifespan of hardware is short, averaging eight to ten years. Due to these factors, more and more industrial operators are abandoning hardware in favor of software for emissions monitoring. This software approach is often referred to as a predictive emissions monitoring system. 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This hardware approach uses pumps, filters, and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming as it requires daily deployments of calibration gases to confirm the system is providing accurate measurements. And when CEMs fail, data blackouts can occur. In addition, the lifespan of hardware is short, averaging eight to ten years. Due to these factors, more and more industrial operators are abandoning hardware in favor of software for emissions monitoring. This software approach is often referred to as a predictive emissions monitoring system. This paper compares the hardware and software approaches, and features a boiler application case study to showcase the financial advantages of the software approach.</description><subject>Boiler emissions</subject><subject>Boilers</subject><subject>Companies</subject><subject>continuous emissions monitoring systems (CEMS)</subject><subject>emissions monitoring</subject><subject>environmental compliance</subject><subject>Hardware</subject><subject>Monitoring</subject><subject>predictive emissions monitoring system (PEMS)</subject><subject>Sensor systems</subject><subject>Software</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j09LxDAUxIMoWFfvgpd-gdaXvDTpO5ZldRdWPLh6LWmbaMVtlqQifnu7f_A0DMwM82PslkPOOdD9ZlXlArjKhUKShTpjCSekjFDpc5YAEGZEJC_ZVYyfAFwWXCaMXrwbf0yw6ZsN8TumSxO6g692u-BN-5GOPl1s-xh7P8T0yQ_96EM_vF-zC2e-or056Yy9Piw282W2fn5czat11k5PxgxNKYhKjah5K12DrSo6sAp4qZVrDGl0ClThGlcKKZx2QJbQKN04iZ3AGYPjbht8jMG6ehf6rQm_NYd6j15P6PUevT6hT5W7Y6W31v7HtS6FLgn_AN5EVJA</recordid><startdate>201703</startdate><enddate>201703</enddate><creator>Smith, Keith</creator><creator>Cole, Dawn</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201703</creationdate><title>Software Versus Hardware Approach to Emissions Monitoring</title><author>Smith, Keith ; Cole, Dawn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c263t-3a8299873371c4fb3c65d0e601876fba973f6065fbf8242f7f09e93a67bf43d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Boiler emissions</topic><topic>Boilers</topic><topic>Companies</topic><topic>continuous emissions monitoring systems (CEMS)</topic><topic>emissions monitoring</topic><topic>environmental compliance</topic><topic>Hardware</topic><topic>Monitoring</topic><topic>predictive emissions monitoring system (PEMS)</topic><topic>Sensor systems</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, Keith</creatorcontrib><creatorcontrib>Cole, Dawn</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Smith, Keith</au><au>Cole, Dawn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Software Versus Hardware Approach to Emissions Monitoring</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2017-03</date><risdate>2017</risdate><volume>53</volume><issue>2</issue><spage>1717</spage><epage>1721</epage><pages>1717-1721</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>Many operations use hardware-based continuous emissions monitoring systems (CEMS) to track boiler emissions. This hardware approach uses pumps, filters, and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming as it requires daily deployments of calibration gases to confirm the system is providing accurate measurements. And when CEMs fail, data blackouts can occur. In addition, the lifespan of hardware is short, averaging eight to ten years. Due to these factors, more and more industrial operators are abandoning hardware in favor of software for emissions monitoring. This software approach is often referred to as a predictive emissions monitoring system. This paper compares the hardware and software approaches, and features a boiler application case study to showcase the financial advantages of the software approach.</abstract><pub>IEEE</pub><doi>10.1109/TIA.2016.2639456</doi><tpages>5</tpages></addata></record> |
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subjects | Boiler emissions Boilers Companies continuous emissions monitoring systems (CEMS) emissions monitoring environmental compliance Hardware Monitoring predictive emissions monitoring system (PEMS) Sensor systems Software |
title | Software Versus Hardware Approach to Emissions Monitoring |
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