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Design and analysis of cryogenic CO2 separation from a CO2‐rich mixture.

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Title: Design and analysis of cryogenic CO2 separation from a CO2‐rich mixture.
Authors: Lin, Mingzhen1 (AUTHOR) linmz1221@126.com, Zhang, Yilong2 (AUTHOR), Yan, Guanghong3 (AUTHOR), Yu, Pengpeng3 (AUTHOR), Duan, Shiwen4 (AUTHOR), Chen, Hongfu3 (AUTHOR), Han, Juanjuan3 (AUTHOR)
Source: Energy Science & Engineering. Jul2023, Vol. 11 Issue 7, p2253-2266. 14p.
Subject Terms: *Grey relational analysis, *Greenhouse gas mitigation, *Cooling towers, *Product recovery, *Potential flow, *Chemical purification
Abstract: In this study, we designed and optimized the main process for CO2 cryogenic separation and purification as well as the auxiliary process of refrigeration with ammonia, both these processes are modeled using Aspen HYSYS V11. The energy‐saving potential and greenhouse gas emission reduction potential of the process flow were analyzed using the Aspen Energy Analyzer V11. The effects of the plant inlet pressure, cooling temperature, tower pressure, and number of stages on two key parameters (energy consumption per unit of product and CO2 recovery rate) were studied in detail. Simultaneously, the appropriate design parameters of the plant were obtained, and the reason for the variation law was analyzed. Finally, grey relational analysis was used to explore the correlation between the influence factors and key parameters, indicating that the number of stages has the largest impact on the CO2 recovery rate and the energy consumption per unit of product, whereas tower pressure and cooling temperature have the least impact on the CO2 recovery rate and energy consumption per unit of product, respectively. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 164780294
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Design and analysis of cryogenic CO<subscript>2</subscript> separation from a CO<subscript>2</subscript>‐rich mixture.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Mingzhen%22">Lin, Mingzhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> linmz1221@126.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yilong%22">Zhang, Yilong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Guanghong%22">Yan, Guanghong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Pengpeng%22">Yu, Pengpeng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duan%2C+Shiwen%22">Duan, Shiwen</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Hongfu%22">Chen, Hongfu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Juanjuan%22">Han, Juanjuan</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jul2023, Vol. 11 Issue 7, p2253-2266. 14p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Grey+relational+analysis%22">Grey relational analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Greenhouse+gas+mitigation%22">Greenhouse gas mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Cooling+towers%22">Cooling towers</searchLink><br />*<searchLink fieldCode="DE" term="%22Product+recovery%22">Product recovery</searchLink><br />*<searchLink fieldCode="DE" term="%22Potential+flow%22">Potential flow</searchLink><br />*<searchLink fieldCode="DE" term="%22Chemical+purification%22">Chemical purification</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this study, we designed and optimized the main process for CO2 cryogenic separation and purification as well as the auxiliary process of refrigeration with ammonia, both these processes are modeled using Aspen HYSYS V11. The energy‐saving potential and greenhouse gas emission reduction potential of the process flow were analyzed using the Aspen Energy Analyzer V11. The effects of the plant inlet pressure, cooling temperature, tower pressure, and number of stages on two key parameters (energy consumption per unit of product and CO2 recovery rate) were studied in detail. Simultaneously, the appropriate design parameters of the plant were obtained, and the reason for the variation law was analyzed. Finally, grey relational analysis was used to explore the correlation between the influence factors and key parameters, indicating that the number of stages has the largest impact on the CO2 recovery rate and the energy consumption per unit of product, whereas tower pressure and cooling temperature have the least impact on the CO2 recovery rate and energy consumption per unit of product, respectively. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=164780294
RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1002/ese3.1448
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      – Code: eng
        Text: English
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        PageCount: 14
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      – SubjectFull: Grey relational analysis
        Type: general
      – SubjectFull: Greenhouse gas mitigation
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      – SubjectFull: Cooling towers
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      – SubjectFull: Product recovery
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      – SubjectFull: Potential flow
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      – SubjectFull: Chemical purification
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      – TitleFull: Design and analysis of cryogenic CO2 separation from a CO2‐rich mixture.
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            NameFull: Lin, Mingzhen
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            NameFull: Zhang, Yilong
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            NameFull: Yan, Guanghong
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            NameFull: Yu, Pengpeng
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            NameFull: Duan, Shiwen
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            NameFull: Chen, Hongfu
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            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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              Value: 11
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              Value: 7
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            – TitleFull: Energy Science & Engineering
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