Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming
An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy‐based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO2 emission. This is achieved by defin...
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| Veröffentlicht in: | Chemical engineering & technology 2019-09, Vol.42 (9), p.1941-1951 |
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| container_end_page | 1951 |
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| container_issue | 9 |
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| container_title | Chemical engineering & technology |
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| creator | Sardashti Birjandi, Mohammad Reza Shahraki, Farhad Razzaghi, Kiyanoosh |
| description | An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy‐based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO2 emission. The weighting factors are considered as fuzzy parameters which are described based on the experts' experiences. The applicability of the proposed approach is illustrated by optimization of an Iranian refinery hydrogen network.
Multistage optimization for identifying the optimal structure for a hydrogen network, formulated as a fuzzy‐based multiobjective nonlinear programming, is proposed. Total annual costs and CO2 emission are reduced simultaneously using fuzzy parameters and flexible constraints for the hydrogen network. An objective function with a weighted sum of the annual cost and CO2 emission is defined. |
| doi_str_mv | 10.1002/ceat.201800422 |
| format | Article |
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Multistage optimization for identifying the optimal structure for a hydrogen network, formulated as a fuzzy‐based multiobjective nonlinear programming, is proposed. Total annual costs and CO2 emission are reduced simultaneously using fuzzy parameters and flexible constraints for the hydrogen network. An objective function with a weighted sum of the annual cost and CO2 emission is defined.</description><identifier>ISSN: 0930-7516</identifier><identifier>EISSN: 1521-4125</identifier><identifier>DOI: 10.1002/ceat.201800422</identifier><language>eng</language><publisher>Frankfurt: Wiley Subscription Services, Inc</publisher><subject>Carbon dioxide ; CO2 emission ; Emission ; Fuzzy parameter ; Fuzzy‐based multiobjective nonlinear programming ; Hydrogen ; Mathematical programming ; Multiple objective analysis ; Nonlinear programming ; Optimization ; Refineries ; Refinery hydrogen network</subject><ispartof>Chemical engineering & technology, 2019-09, Vol.42 (9), p.1941-1951</ispartof><rights>2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fceat.201800422$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fceat.201800422$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Sardashti Birjandi, Mohammad Reza</creatorcontrib><creatorcontrib>Shahraki, Farhad</creatorcontrib><creatorcontrib>Razzaghi, Kiyanoosh</creatorcontrib><title>Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming</title><title>Chemical engineering & technology</title><description>An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy‐based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO2 emission. The weighting factors are considered as fuzzy parameters which are described based on the experts' experiences. The applicability of the proposed approach is illustrated by optimization of an Iranian refinery hydrogen network.
Multistage optimization for identifying the optimal structure for a hydrogen network, formulated as a fuzzy‐based multiobjective nonlinear programming, is proposed. Total annual costs and CO2 emission are reduced simultaneously using fuzzy parameters and flexible constraints for the hydrogen network. An objective function with a weighted sum of the annual cost and CO2 emission is defined.</description><subject>Carbon dioxide</subject><subject>CO2 emission</subject><subject>Emission</subject><subject>Fuzzy parameter</subject><subject>Fuzzy‐based multiobjective nonlinear programming</subject><subject>Hydrogen</subject><subject>Mathematical programming</subject><subject>Multiple objective analysis</subject><subject>Nonlinear programming</subject><subject>Optimization</subject><subject>Refineries</subject><subject>Refinery hydrogen network</subject><issn>0930-7516</issn><issn>1521-4125</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9kMFLwzAchYMoOKdXzwHP1V-SpmmPo2xO2JzIPHkIWZp2GW0609bR_fV2THZ6PPh4Dz6EHgk8EwD6oo1qnymQGCCk9AqNCKckCAnl12gECYNAcBLdorum2QEAGcoIfc_7zNeFcVi5DKcripfKqcJUxrXYOtxuDf40uXXG9_hg2y2edcdjj5dd2dp6szO6tb8Gv9euHBjl8cew5lVVWVfco5tclY15-M8x-ppN1-k8WKxe39LJIiioABrEUZ7xSHEwmtENI0TFhrJkk6uICZXlPAEdagFZHsVa0YQZ4JnImVY6jEWm2Rg9nXf3vv7pTNPKXd15N1xKSgVPSAJCDFRypg62NL3ce1sp30sC8mRPnuzJiz2ZTifrS2N_4lVmcw</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Sardashti Birjandi, Mohammad Reza</creator><creator>Shahraki, Farhad</creator><creator>Razzaghi, Kiyanoosh</creator><general>Wiley Subscription Services, Inc</general><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>201909</creationdate><title>Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming</title><author>Sardashti Birjandi, Mohammad Reza ; Shahraki, Farhad ; Razzaghi, Kiyanoosh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g2702-86fd56a50ec32b311a8e239bfa637adf590c4c70df68ca293e05d7f3cac487dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Carbon dioxide</topic><topic>CO2 emission</topic><topic>Emission</topic><topic>Fuzzy parameter</topic><topic>Fuzzy‐based multiobjective nonlinear programming</topic><topic>Hydrogen</topic><topic>Mathematical programming</topic><topic>Multiple objective analysis</topic><topic>Nonlinear programming</topic><topic>Optimization</topic><topic>Refineries</topic><topic>Refinery hydrogen network</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sardashti Birjandi, Mohammad Reza</creatorcontrib><creatorcontrib>Shahraki, Farhad</creatorcontrib><creatorcontrib>Razzaghi, Kiyanoosh</creatorcontrib><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Chemical engineering & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sardashti Birjandi, Mohammad Reza</au><au>Shahraki, Farhad</au><au>Razzaghi, Kiyanoosh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming</atitle><jtitle>Chemical engineering & technology</jtitle><date>2019-09</date><risdate>2019</risdate><volume>42</volume><issue>9</issue><spage>1941</spage><epage>1951</epage><pages>1941-1951</pages><issn>0930-7516</issn><eissn>1521-4125</eissn><abstract>An innovative approach for optimization of the hydrogen network in a refinery is presented. The optimization problem was formulated as a fuzzy‐based multiobjective nonlinear programming (FMONLP), aiming at simultaneous minimization of the total annual cost and CO2 emission. This is achieved by defining an objective function with a weighted sum of the annual cost and CO2 emission. The weighting factors are considered as fuzzy parameters which are described based on the experts' experiences. The applicability of the proposed approach is illustrated by optimization of an Iranian refinery hydrogen network.
Multistage optimization for identifying the optimal structure for a hydrogen network, formulated as a fuzzy‐based multiobjective nonlinear programming, is proposed. Total annual costs and CO2 emission are reduced simultaneously using fuzzy parameters and flexible constraints for the hydrogen network. An objective function with a weighted sum of the annual cost and CO2 emission is defined.</abstract><cop>Frankfurt</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ceat.201800422</doi><tpages>11</tpages></addata></record> |
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| issn | 0930-7516 1521-4125 |
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| subjects | Carbon dioxide CO2 emission Emission Fuzzy parameter Fuzzy‐based multiobjective nonlinear programming Hydrogen Mathematical programming Multiple objective analysis Nonlinear programming Optimization Refineries Refinery hydrogen network |
| title | Hydrogen and CO2 Management in the Refinery with Fuzzy Multiobjective Nonlinear Programming |
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