An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance
The rising environmental problems due to fossil fuels’ consumption have pushed researchers and technologists to develop sustainable power systems. Due to properties such as abundance and nontoxicity of the working fluid, the supercritical carbon (<inline-formula><math xmlns="http://www...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/5/2389 |
| _version_ | 1827601728854294528 |
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| author | Khaled Alawadhi Abdullah Alfalah Bashar Bader Yousef Alhouli Ahmed Murad |
| author_facet | Khaled Alawadhi Abdullah Alfalah Bashar Bader Yousef Alhouli Ahmed Murad |
| author_sort | Khaled Alawadhi |
| collection | DOAJ |
| description | The rising environmental problems due to fossil fuels’ consumption have pushed researchers and technologists to develop sustainable power systems. Due to properties such as abundance and nontoxicity of the working fluid, the supercritical carbon (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub></mrow></semantics></math></inline-formula>) dioxide Brayton cycle is considered one of the most promising technologies among the various sustainable power systems. In the current study, a mathematical model has been developed and coded in Matlab for the recompression of the supercritical carbon dioxide Brayton cycle sCO<sub>2</sub>-BC. The real gas properties of supercritical carbon dioxide (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub></mrow></semantics></math></inline-formula>) were incorporated into the program by pairing the NIST’s Refporp with Matlab© through a subroutine. The impacts of the various designs of the cycle’s individual components have been investigated on the performance of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub><mo>−</mo><mi>BC</mi></mrow></semantics></math></inline-formula>. The impact of various sedative cycle parameters, i.e., compressor’s inlet temperature <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>(</mo><mrow><msub><mi>T</mi><mn>1</mn></msub></mrow><mo>)</mo></mrow><mo>,</mo></mrow></semantics></math></inline-formula> and pressure (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>P</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula>), cycle pressure ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>r</mi></mrow></semantics></math></inline-formula>), and split mass fraction (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>x</mi></semantics></math></inline-formula>), on the cycle’s performance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo stretchy="false">(</mo><msub><mi>η</mi><mrow><mi>c</mi><mi>y</mi><mi>c</mi></mrow></msub></mrow></semantics></math></inline-formula>) were studied and highlighted. Moreover, an optimization study using the genetic algorithm was carried out to find the abovementioned cycle’s optimized values that maximize the cycle’s per-formance under provided design constraints and boundaries. |
| first_indexed | 2024-03-09T05:01:36Z |
| format | Article |
| id | doaj.art-f1965b739bf54ad581efc47fac113ec5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:01:36Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f1965b739bf54ad581efc47fac113ec52023-12-03T12:59:40ZengMDPI AGApplied Sciences2076-34172021-03-01115238910.3390/app11052389An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall PerformanceKhaled Alawadhi0Abdullah Alfalah1Bashar Bader2Yousef Alhouli3Ahmed Murad4Department of Automotive and Marine Engineering Technology, College of Technological Studies, The Public Authority for Applied Education and Training, Shuwaikh, Kuwait City 70654, KuwaitAutomotive Department, Industrial Institute at Sabah Alsalem, The Public Authority for Applied Education and Training, Sabah Alsalem, Kuwait City 70654, KuwaitDepartment of Automotive and Marine Engineering Technology, College of Technological Studies, The Public Authority for Applied Education and Training, Shuwaikh, Kuwait City 70654, KuwaitDepartment of Automotive and Marine Engineering Technology, College of Technological Studies, The Public Authority for Applied Education and Training, Shuwaikh, Kuwait City 70654, KuwaitDepartment of Automotive and Marine Engineering Technology, College of Technological Studies, The Public Authority for Applied Education and Training, Shuwaikh, Kuwait City 70654, KuwaitThe rising environmental problems due to fossil fuels’ consumption have pushed researchers and technologists to develop sustainable power systems. Due to properties such as abundance and nontoxicity of the working fluid, the supercritical carbon (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub></mrow></semantics></math></inline-formula>) dioxide Brayton cycle is considered one of the most promising technologies among the various sustainable power systems. In the current study, a mathematical model has been developed and coded in Matlab for the recompression of the supercritical carbon dioxide Brayton cycle sCO<sub>2</sub>-BC. The real gas properties of supercritical carbon dioxide (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub></mrow></semantics></math></inline-formula>) were incorporated into the program by pairing the NIST’s Refporp with Matlab© through a subroutine. The impacts of the various designs of the cycle’s individual components have been investigated on the performance of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>sCO</mi></mrow><mn>2</mn></msub><mo>−</mo><mi>BC</mi></mrow></semantics></math></inline-formula>. The impact of various sedative cycle parameters, i.e., compressor’s inlet temperature <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>(</mo><mrow><msub><mi>T</mi><mn>1</mn></msub></mrow><mo>)</mo></mrow><mo>,</mo></mrow></semantics></math></inline-formula> and pressure (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>P</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula>), cycle pressure ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>r</mi></mrow></semantics></math></inline-formula>), and split mass fraction (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>x</mi></semantics></math></inline-formula>), on the cycle’s performance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo stretchy="false">(</mo><msub><mi>η</mi><mrow><mi>c</mi><mi>y</mi><mi>c</mi></mrow></msub></mrow></semantics></math></inline-formula>) were studied and highlighted. Moreover, an optimization study using the genetic algorithm was carried out to find the abovementioned cycle’s optimized values that maximize the cycle’s per-formance under provided design constraints and boundaries.https://www.mdpi.com/2076-3417/11/5/2389recompression sCO<sub>2</sub>-BCmultiobjective genetic algorithm (MOGA)recuperatorcycle simulation |
| spellingShingle | Khaled Alawadhi Abdullah Alfalah Bashar Bader Yousef Alhouli Ahmed Murad An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance Applied Sciences recompression sCO<sub>2</sub>-BC multiobjective genetic algorithm (MOGA) recuperator cycle simulation |
| title | An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance |
| title_full | An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance |
| title_fullStr | An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance |
| title_full_unstemmed | An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance |
| title_short | An Optimization Study to Evaluate the Impact of the Supercritical CO<sub>2</sub> Brayton Cycle’s Components on Its Overall Performance |
| title_sort | optimization study to evaluate the impact of the supercritical co sub 2 sub brayton cycle s components on its overall performance |
| topic | recompression sCO<sub>2</sub>-BC multiobjective genetic algorithm (MOGA) recuperator cycle simulation |
| url | https://www.mdpi.com/2076-3417/11/5/2389 |
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