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Design, Optimization, Validation, an...

Ghimire, Saugat,

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Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor // Saugat Ghimire.
作者:	Ghimire, Saugat,
面頁冊數:	1 electronic resource (236 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
Contained By:	Dissertations Abstracts International86-07B.
標題:	Aerospace engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31879205
ISBN:	9798302164803

Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor /
Ghimire, Saugat,

Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor /Saugat Ghimire. - 1 electronic resource (236 pages)

Source: Dissertations Abstracts International, Volume: 86-07, Section: B.

The move towards renewable energy has highlighted the need for large-scale, environmentally friendly energy storage solutions. Among these, the Supercritical Carbon Dioxide (sCO2) power cycle is emerging as a promising technology for advanced energy conversion. The effectiveness of such systems depends heavily on the compressor's performance. Using optimization-based methods, a multistage axial compressor has been designed, and its first stage has been built and tested experimentally. Through a series of detailed design iterations and optimization strategies, 3D CFD analyses, the compressor's geometric and operational parameters were fine-tuned to address the unique challenges posed by operation using CO2.Key findings highlight the successful implementation of design optimization that significantly reduces aerodynamic losses and improves the overall efficiency of the compressor stages. The optimized compressor demonstrates robust performance across a range of operating conditions, particularly focusing on improved stall margin, which emphasizes the potential of sCO2 technology in contributing to efficient and sustainable energy systems. Further detailed studies using CFD to analyze cavity effects in shrouded configurations, tip clearance effects, real gas effects, and Reynolds number effects were performed. Experimental validations, conducted at the University of Notre Dame Turbomachinery Laboratory, confirm the CFD predictions and showcase the practical viability of the compressor design and the approach used.This work not only advances the state-of-the-art in turbomachinery design for supercritical fluids but also lays a foundation for future research into the integration of sCO2 and real gas based compressors in renewable energy systems and industrial applications. The insights gained from this study underscore the critical importance of tailored design and optimization strategies in overcoming the thermophysical challenges associated with axial turbomachinery design for real gases and super/trans critical fluids.

English

ISBN: 9798302164803Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Supercritical Carbon Dioxide

Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor /
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245 1 0 $a Design, Optimization, Validation, and Detailed Flow Physics Analysis of a CO2 Axial Compressor / $c Saugat Ghimire.
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300 $a 1 electronic resource (236 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
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502 $b Ph.D. $c University of Cincinnati $d 2024.
520 $a The move towards renewable energy has highlighted the need for large-scale, environmentally friendly energy storage solutions. Among these, the Supercritical Carbon Dioxide (sCO2) power cycle is emerging as a promising technology for advanced energy conversion. The effectiveness of such systems depends heavily on the compressor's performance. Using optimization-based methods, a multistage axial compressor has been designed, and its first stage has been built and tested experimentally. Through a series of detailed design iterations and optimization strategies, 3D CFD analyses, the compressor's geometric and operational parameters were fine-tuned to address the unique challenges posed by operation using CO2.Key findings highlight the successful implementation of design optimization that significantly reduces aerodynamic losses and improves the overall efficiency of the compressor stages. The optimized compressor demonstrates robust performance across a range of operating conditions, particularly focusing on improved stall margin, which emphasizes the potential of sCO2 technology in contributing to efficient and sustainable energy systems. Further detailed studies using CFD to analyze cavity effects in shrouded configurations, tip clearance effects, real gas effects, and Reynolds number effects were performed. Experimental validations, conducted at the University of Notre Dame Turbomachinery Laboratory, confirm the CFD predictions and showcase the practical viability of the compressor design and the approach used.This work not only advances the state-of-the-art in turbomachinery design for supercritical fluids but also lays a foundation for future research into the integration of sCO2 and real gas based compressors in renewable energy systems and industrial applications. The insights gained from this study underscore the critical importance of tailored design and optimization strategies in overcoming the thermophysical challenges associated with axial turbomachinery design for real gases and super/trans critical fluids.
546 $a English
590 $a School code: 0045
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Fluid mechanics. $3 528155
650 4 $a Mechanical engineering. $3 649730
653 $a Supercritical Carbon Dioxide
653 $a Multistage axial compressor
653 $a 3D CFD analyses
653 $a Aerodynamic design
653 $a Compressor design
653 $a Experimental validation
690 $a 0538
690 $a 0548
690 $a 0204
710 2 $a University of Cincinnati. $b Engineering and Applied Science: Aerospace Engineering. $e degree granting institution. $3 3824698
720 1 $a Turner, Mark G. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-07B.
790 $a 0045
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31879205