A Cost Approach for Optimization of a Combined Power and Thermal Desalination System through Exergy and Environmental Analysis
In this Article, a systematic approach of cost analysis and optimization for combining the multieffect thermal vapor compression (METVC) desalination system with the gas turbine power plant (GT) was proposed on the basis of thermodynamic, economic, and environmental attributes. The total annual cost...
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Veröffentlicht in: | Industrial & engineering chemistry research 2013-08, Vol.52 (32), p.11099-11110 |
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description | In this Article, a systematic approach of cost analysis and optimization for combining the multieffect thermal vapor compression (METVC) desalination system with the gas turbine power plant (GT) was proposed on the basis of thermodynamic, economic, and environmental attributes. The total annual cost (TAC) of the combined system, including annual capital and operating costs, was modified to define an efficient cost objective function by adding the exergy destruction cost as a lost opportunity cost, and environmental emissions cost as a damage cost of the system to the operating cost. A parametric analysis was conducted to evaluate the effects of the key thermodynamic parameters for combining the GT and METVC systems, including the gas turbine inlet temperature (TIT), the HRSG outlet temperature (HOT), and the temperature difference between the effects of the METVC system (ΔT METVC) on the modified total annual cost (MTAC). The parameter optimization was achieved using a genetic algorithm (GA) to find the optimal key thermodynamic parameters with minimization of the MTAC of the combined system. In addition, the methodology was applied to optimize the combining of a METVC desalination system with a GT power plant located in Mahshar, Iran. The optimization results indicated that the METVC systems with less than five effects cannot be combined with the current GT power plant because the combined systems cannot produce the power and fresh water requirements. Among the combined systems with more than four effects in the METVC system, the combined system with five effects in the METVC system was selected as the best system, which can produce 28 543 m3/day fresh water and 127 MW power, respectively, and reduce the NO x emission by 3.6% as compared to the current power plant. |
doi_str_mv | 10.1021/ie401068c |
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Janghorban ; Kim, J. T ; Yoo, C. K</creator><creatorcontrib>Esfahani, I. Janghorban ; Kim, J. T ; Yoo, C. K</creatorcontrib><description>In this Article, a systematic approach of cost analysis and optimization for combining the multieffect thermal vapor compression (METVC) desalination system with the gas turbine power plant (GT) was proposed on the basis of thermodynamic, economic, and environmental attributes. The total annual cost (TAC) of the combined system, including annual capital and operating costs, was modified to define an efficient cost objective function by adding the exergy destruction cost as a lost opportunity cost, and environmental emissions cost as a damage cost of the system to the operating cost. A parametric analysis was conducted to evaluate the effects of the key thermodynamic parameters for combining the GT and METVC systems, including the gas turbine inlet temperature (TIT), the HRSG outlet temperature (HOT), and the temperature difference between the effects of the METVC system (ΔT METVC) on the modified total annual cost (MTAC). The parameter optimization was achieved using a genetic algorithm (GA) to find the optimal key thermodynamic parameters with minimization of the MTAC of the combined system. In addition, the methodology was applied to optimize the combining of a METVC desalination system with a GT power plant located in Mahshar, Iran. The optimization results indicated that the METVC systems with less than five effects cannot be combined with the current GT power plant because the combined systems cannot produce the power and fresh water requirements. Among the combined systems with more than four effects in the METVC system, the combined system with five effects in the METVC system was selected as the best system, which can produce 28 543 m3/day fresh water and 127 MW power, respectively, and reduce the NO x emission by 3.6% as compared to the current power plant.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/ie401068c</identifier><language>eng</language><publisher>American Chemical Society</publisher><subject>Cost analysis ; Cost engineering ; Desalination ; Electric power generation ; Electric power plants ; Genetic algorithms ; Optimization ; Thermodynamics</subject><ispartof>Industrial & engineering chemistry research, 2013-08, Vol.52 (32), p.11099-11110</ispartof><rights>Copyright © 2013 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a325t-95713c97978bf54d845e400cef7ce9909ec26208f8ad0d60696fa7305e4573ce3</citedby><cites>FETCH-LOGICAL-a325t-95713c97978bf54d845e400cef7ce9909ec26208f8ad0d60696fa7305e4573ce3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ie401068c$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ie401068c$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids></links><search><creatorcontrib>Esfahani, I. Janghorban</creatorcontrib><creatorcontrib>Kim, J. T</creatorcontrib><creatorcontrib>Yoo, C. K</creatorcontrib><title>A Cost Approach for Optimization of a Combined Power and Thermal Desalination System through Exergy and Environmental Analysis</title><title>Industrial & engineering chemistry research</title><addtitle>Ind. Eng. Chem. Res</addtitle><description>In this Article, a systematic approach of cost analysis and optimization for combining the multieffect thermal vapor compression (METVC) desalination system with the gas turbine power plant (GT) was proposed on the basis of thermodynamic, economic, and environmental attributes. The total annual cost (TAC) of the combined system, including annual capital and operating costs, was modified to define an efficient cost objective function by adding the exergy destruction cost as a lost opportunity cost, and environmental emissions cost as a damage cost of the system to the operating cost. A parametric analysis was conducted to evaluate the effects of the key thermodynamic parameters for combining the GT and METVC systems, including the gas turbine inlet temperature (TIT), the HRSG outlet temperature (HOT), and the temperature difference between the effects of the METVC system (ΔT METVC) on the modified total annual cost (MTAC). The parameter optimization was achieved using a genetic algorithm (GA) to find the optimal key thermodynamic parameters with minimization of the MTAC of the combined system. In addition, the methodology was applied to optimize the combining of a METVC desalination system with a GT power plant located in Mahshar, Iran. The optimization results indicated that the METVC systems with less than five effects cannot be combined with the current GT power plant because the combined systems cannot produce the power and fresh water requirements. Among the combined systems with more than four effects in the METVC system, the combined system with five effects in the METVC system was selected as the best system, which can produce 28 543 m3/day fresh water and 127 MW power, respectively, and reduce the NO x emission by 3.6% as compared to the current power plant.</description><subject>Cost analysis</subject><subject>Cost engineering</subject><subject>Desalination</subject><subject>Electric power generation</subject><subject>Electric power plants</subject><subject>Genetic algorithms</subject><subject>Optimization</subject><subject>Thermodynamics</subject><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqN0T1PwzAQBmALgUQpDPwDL0gwBM5JHDtjVcqHVKlIlDlynUvrKrGLnQJh4LcTKGJiYLrluZPeewk5ZXDJIGZXBlNgkEm9RwaMxxBxSPk-GYCUMuJS8kNyFMIaADhP0wH5GNGxCy0dbTbeKb2ilfN0tmlNY95Va5ylrqKqN83CWCzpg3tFT5Ut6XyFvlE1vcagamN3-LELLTa0XXm3Xa7o5A39svvmE_tivLMN2rZfGllVd8GEY3JQqTrgyc8ckqebyXx8F01nt_fj0TRSSczbKOeCJToXuZCLiqelTHmfEzRWQmOeQ446zmKQlVQllBlkeVYpkUCvuEg0JkNyvrvbp3zeYmiLxgSNda0sum0oWJbHiWAC0n9QKTIh0pj39GJHtXcheKyKjTeN8l3BoPiqo_ito7dnO6t0KNZu6_sPhD_cJxlSiVw</recordid><startdate>20130814</startdate><enddate>20130814</enddate><creator>Esfahani, I. Janghorban</creator><creator>Kim, J. T</creator><creator>Yoo, C. K</creator><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20130814</creationdate><title>A Cost Approach for Optimization of a Combined Power and Thermal Desalination System through Exergy and Environmental Analysis</title><author>Esfahani, I. Janghorban ; Kim, J. T ; Yoo, C. K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a325t-95713c97978bf54d845e400cef7ce9909ec26208f8ad0d60696fa7305e4573ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Cost analysis</topic><topic>Cost engineering</topic><topic>Desalination</topic><topic>Electric power generation</topic><topic>Electric power plants</topic><topic>Genetic algorithms</topic><topic>Optimization</topic><topic>Thermodynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Esfahani, I. Janghorban</creatorcontrib><creatorcontrib>Kim, J. T</creatorcontrib><creatorcontrib>Yoo, C. K</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Industrial & engineering chemistry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Esfahani, I. Janghorban</au><au>Kim, J. T</au><au>Yoo, C. K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Cost Approach for Optimization of a Combined Power and Thermal Desalination System through Exergy and Environmental Analysis</atitle><jtitle>Industrial & engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>2013-08-14</date><risdate>2013</risdate><volume>52</volume><issue>32</issue><spage>11099</spage><epage>11110</epage><pages>11099-11110</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><abstract>In this Article, a systematic approach of cost analysis and optimization for combining the multieffect thermal vapor compression (METVC) desalination system with the gas turbine power plant (GT) was proposed on the basis of thermodynamic, economic, and environmental attributes. The total annual cost (TAC) of the combined system, including annual capital and operating costs, was modified to define an efficient cost objective function by adding the exergy destruction cost as a lost opportunity cost, and environmental emissions cost as a damage cost of the system to the operating cost. A parametric analysis was conducted to evaluate the effects of the key thermodynamic parameters for combining the GT and METVC systems, including the gas turbine inlet temperature (TIT), the HRSG outlet temperature (HOT), and the temperature difference between the effects of the METVC system (ΔT METVC) on the modified total annual cost (MTAC). The parameter optimization was achieved using a genetic algorithm (GA) to find the optimal key thermodynamic parameters with minimization of the MTAC of the combined system. In addition, the methodology was applied to optimize the combining of a METVC desalination system with a GT power plant located in Mahshar, Iran. The optimization results indicated that the METVC systems with less than five effects cannot be combined with the current GT power plant because the combined systems cannot produce the power and fresh water requirements. Among the combined systems with more than four effects in the METVC system, the combined system with five effects in the METVC system was selected as the best system, which can produce 28 543 m3/day fresh water and 127 MW power, respectively, and reduce the NO x emission by 3.6% as compared to the current power plant.</abstract><pub>American Chemical Society</pub><doi>10.1021/ie401068c</doi><tpages>12</tpages></addata></record> |
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subjects | Cost analysis Cost engineering Desalination Electric power generation Electric power plants Genetic algorithms Optimization Thermodynamics |
title | A Cost Approach for Optimization of a Combined Power and Thermal Desalination System through Exergy and Environmental Analysis |
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