Optimization and analysis of exergy, economic, and environmental of a combined cycle power plant
In this study, a combined cycle power plant with a nominal capacity of 500 MW, including two gas turbine units and one steam turbine unit, is considered by a mathematical model. This study is carried out to optimize three objective functions of exergy efficiency, CO 2 emission and produced power cos...
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| Veröffentlicht in: | Sadhana (Bangalore) 2019-05, Vol.44 (5), p.1-11, Article 121 |
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| creator | Javadi, M A Hoseinzadeh, S Khalaji, M Ghasemiasl, R |
| description | In this study, a combined cycle power plant with a nominal capacity of 500 MW, including two gas turbine units and one steam turbine unit, is considered by a mathematical model. This study is carried out to optimize three objective functions of exergy efficiency, CO
2
emission and produced power costs. This multi-objective optimization has been carried out by using the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results indicate that the efficiency of the combined cycle power plant depends on the design parameters including gas turbine input temperature, compressor pressure ratio, and pinch point temperature. Furthermore, any change occurring in these settings may lead to noticeable changes in objective functions, so that the efficiency of this power plant is increased after optimization by up to 8.12 %, and its heat rate is correspondingly reduced from 7233 (kJ/kWh) to 7023 (kJ/kWh). Similarly, exergy destruction in the total system shows a reduction by 7.23%. |
| doi_str_mv | 10.1007/s12046-019-1102-4 |
| format | Article |
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2
emission and produced power costs. This multi-objective optimization has been carried out by using the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results indicate that the efficiency of the combined cycle power plant depends on the design parameters including gas turbine input temperature, compressor pressure ratio, and pinch point temperature. Furthermore, any change occurring in these settings may lead to noticeable changes in objective functions, so that the efficiency of this power plant is increased after optimization by up to 8.12 %, and its heat rate is correspondingly reduced from 7233 (kJ/kWh) to 7023 (kJ/kWh). Similarly, exergy destruction in the total system shows a reduction by 7.23%.</description><identifier>ISSN: 0256-2499</identifier><identifier>EISSN: 0973-7677</identifier><identifier>DOI: 10.1007/s12046-019-1102-4</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Classification ; Combined cycle power generation ; Design parameters ; Economic analysis ; Efficiency ; Engineering ; Exergy ; Gas turbines ; Genetic algorithms ; Multiple objective analysis ; Optimization ; Power efficiency ; Power plants ; Pressure ratio ; Sorting algorithms ; Steam turbines</subject><ispartof>Sadhana (Bangalore), 2019-05, Vol.44 (5), p.1-11, Article 121</ispartof><rights>Indian Academy of Sciences 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-b3afe865a1c51eb281ad0f7d72d17cff8367f5df63c2bcba46783624a8b11273</citedby><cites>FETCH-LOGICAL-c398t-b3afe865a1c51eb281ad0f7d72d17cff8367f5df63c2bcba46783624a8b11273</cites><orcidid>0000-0002-4282-074X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12046-019-1102-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12046-019-1102-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Javadi, M A</creatorcontrib><creatorcontrib>Hoseinzadeh, S</creatorcontrib><creatorcontrib>Khalaji, M</creatorcontrib><creatorcontrib>Ghasemiasl, R</creatorcontrib><title>Optimization and analysis of exergy, economic, and environmental of a combined cycle power plant</title><title>Sadhana (Bangalore)</title><addtitle>Sādhanā</addtitle><description>In this study, a combined cycle power plant with a nominal capacity of 500 MW, including two gas turbine units and one steam turbine unit, is considered by a mathematical model. This study is carried out to optimize three objective functions of exergy efficiency, CO
2
emission and produced power costs. This multi-objective optimization has been carried out by using the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results indicate that the efficiency of the combined cycle power plant depends on the design parameters including gas turbine input temperature, compressor pressure ratio, and pinch point temperature. Furthermore, any change occurring in these settings may lead to noticeable changes in objective functions, so that the efficiency of this power plant is increased after optimization by up to 8.12 %, and its heat rate is correspondingly reduced from 7233 (kJ/kWh) to 7023 (kJ/kWh). Similarly, exergy destruction in the total system shows a reduction by 7.23%.</description><subject>Classification</subject><subject>Combined cycle power generation</subject><subject>Design parameters</subject><subject>Economic analysis</subject><subject>Efficiency</subject><subject>Engineering</subject><subject>Exergy</subject><subject>Gas turbines</subject><subject>Genetic algorithms</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Power efficiency</subject><subject>Power plants</subject><subject>Pressure ratio</subject><subject>Sorting algorithms</subject><subject>Steam turbines</subject><issn>0256-2499</issn><issn>0973-7677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhosouK7-AG8FrxvNJG3SHmXxCxb2sveYpsmSpU1q0lXXX2_WCp48DDMMzzswT5ZdA74FjPldBIILhjDUCAATVJxkM1xzijjj_DTNpGSIFHV9nl3EuMOYcFzRWfa6Hkbb2y85Wu9y6dpUsjtEG3Nvcv2pw_awyLXyzvdWLX4I7d5t8K7XbpTdEZO58n1jnW5zdVCdzgf_oUM-dNKNl9mZkV3UV799nm0eHzbLZ7RaP70s71dI0boaUUOl0RUrJagSdEMqkC02vOWkBa6MqSjjpmwNo4o0qpEF42lFClk1AITTeXYznR2Cf9vrOIqd34f0ShSEAIWa1RwSBROlgo8xaCOGYHsZDgKwOHoUk0eRPIqjR1GkDJkyMbFuq8Pf5f9D32vqdlc</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Javadi, M A</creator><creator>Hoseinzadeh, S</creator><creator>Khalaji, M</creator><creator>Ghasemiasl, R</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-4282-074X</orcidid></search><sort><creationdate>20190501</creationdate><title>Optimization and analysis of exergy, economic, and environmental of a combined cycle power plant</title><author>Javadi, M A ; Hoseinzadeh, S ; Khalaji, M ; Ghasemiasl, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-b3afe865a1c51eb281ad0f7d72d17cff8367f5df63c2bcba46783624a8b11273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Classification</topic><topic>Combined cycle power generation</topic><topic>Design parameters</topic><topic>Economic analysis</topic><topic>Efficiency</topic><topic>Engineering</topic><topic>Exergy</topic><topic>Gas turbines</topic><topic>Genetic algorithms</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Power efficiency</topic><topic>Power plants</topic><topic>Pressure ratio</topic><topic>Sorting algorithms</topic><topic>Steam turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Javadi, M A</creatorcontrib><creatorcontrib>Hoseinzadeh, S</creatorcontrib><creatorcontrib>Khalaji, M</creatorcontrib><creatorcontrib>Ghasemiasl, R</creatorcontrib><collection>CrossRef</collection><jtitle>Sadhana (Bangalore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Javadi, M A</au><au>Hoseinzadeh, S</au><au>Khalaji, M</au><au>Ghasemiasl, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization and analysis of exergy, economic, and environmental of a combined cycle power plant</atitle><jtitle>Sadhana (Bangalore)</jtitle><stitle>Sādhanā</stitle><date>2019-05-01</date><risdate>2019</risdate><volume>44</volume><issue>5</issue><spage>1</spage><epage>11</epage><pages>1-11</pages><artnum>121</artnum><issn>0256-2499</issn><eissn>0973-7677</eissn><abstract>In this study, a combined cycle power plant with a nominal capacity of 500 MW, including two gas turbine units and one steam turbine unit, is considered by a mathematical model. This study is carried out to optimize three objective functions of exergy efficiency, CO
2
emission and produced power costs. This multi-objective optimization has been carried out by using the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results indicate that the efficiency of the combined cycle power plant depends on the design parameters including gas turbine input temperature, compressor pressure ratio, and pinch point temperature. Furthermore, any change occurring in these settings may lead to noticeable changes in objective functions, so that the efficiency of this power plant is increased after optimization by up to 8.12 %, and its heat rate is correspondingly reduced from 7233 (kJ/kWh) to 7023 (kJ/kWh). Similarly, exergy destruction in the total system shows a reduction by 7.23%.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12046-019-1102-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4282-074X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Indian Academy of Sciences; EZB-FREE-00999 freely available EZB journals; SpringerLink Journals - AutoHoldings |
| subjects | Classification Combined cycle power generation Design parameters Economic analysis Efficiency Engineering Exergy Gas turbines Genetic algorithms Multiple objective analysis Optimization Power efficiency Power plants Pressure ratio Sorting algorithms Steam turbines |
| title | Optimization and analysis of exergy, economic, and environmental of a combined cycle power plant |
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