Design of sustainable processes for CO2 capture

Ana Gabriela Romero-Garcia; Nelly Ramírez-Corona; Eduardo Sánchez-Ramírez; Heriberto Alcocer-García; Cataldo De Blasio; Juan Gabriel Segovia-Hernández

doi:10.1016/B978-0-323-95879-0.50136-3

Design of sustainable processes for CO2 capture

Ana Gabriela Romero-Garcia, Nelly Ramírez-Corona, Eduardo Sánchez-Ramírez, Heriberto Alcocer-García, Cataldo De Blasio, Juan Gabriel Segovia-Hernández

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Global warming is one of the main environmental problems affecting the world. The continuous emissions of Carbon Dioxide (CO ₂) released into the atmosphere have generated a critical environmental situation worldwide. It is reported that 70% of CO ₂ emissions are related to electricity production. For this reason, if there is an increase in energy demand therefore it is expected to increase CO ₂ emissions. Globally, different alternatives have been sought to reduce the environmental footprint related to CO ₂ emissions, highlighting the implementation of capture and storage plants as a promising alternative. In this work it is presented the multiobjective optimization for the simulation of a CO ₂ capture plant coupled to a power plant considering a stochastic optimization having as objective function the minimization of the environmental implications (Ecoindicator 99), the control properties (Condition Number), as well maximize the economic indicator (Return on investment). The analysis considered the most used fuels in the power plant. From the results, the design with the best overall performance is when natural gas is burned. Presenting the lower environmental impact with 22549.43kEcopoints and a return on investment of 73.24%. This results in a sustainable process with less environmental impact.

Original language	English
Title of host publication	PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32)
Editors	Ludovic Montastruc, Stephane Negny
Pages	811-816
Number of pages	6
Volume	51
DOIs	https://doi.org/10.1016/B978-0-323-95879-0.50136-3
Publication status	Published - Jan 2022
MoE publication type	A4 Article in a conference publication

Publication series

Name	Computer Aided Chemical Engineering
ISSN (Print)	1570-7946

Access to Document

10.1016/B978-0-323-95879-0.50136-3

Tenure Track professur, Energitekniken
Hupa, M., Salmi, T., Björklund-Sänkiaho, M. & De Blasio, C.
01/01/20 → 31/12/24
Project: Core financing

Cite this

Romero-Garcia, A. G., Ramírez-Corona, N., Sánchez-Ramírez, E., Alcocer-García, H., De Blasio, C., & Segovia-Hernández, J. G. (2022). Design of sustainable processes for CO2 capture. In L. Montastruc, & S. Negny (Eds.), PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32) (Vol. 51, pp. 811-816). (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-323-95879-0.50136-3

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title = "Design of sustainable processes for CO2 capture",

abstract = "Global warming is one of the main environmental problems affecting the world. The continuous emissions of Carbon Dioxide (CO 2) released into the atmosphere have generated a critical environmental situation worldwide. It is reported that 70% of CO 2 emissions are related to electricity production. For this reason, if there is an increase in energy demand therefore it is expected to increase CO 2 emissions. Globally, different alternatives have been sought to reduce the environmental footprint related to CO 2 emissions, highlighting the implementation of capture and storage plants as a promising alternative. In this work it is presented the multiobjective optimization for the simulation of a CO 2 capture plant coupled to a power plant considering a stochastic optimization having as objective function the minimization of the environmental implications (Ecoindicator 99), the control properties (Condition Number), as well maximize the economic indicator (Return on investment). The analysis considered the most used fuels in the power plant. From the results, the design with the best overall performance is when natural gas is burned. Presenting the lower environmental impact with 22549.43kEcopoints and a return on investment of 73.24%. This results in a sustainable process with less environmental impact.",

author = "Romero-Garcia, {Ana Gabriela} and Nelly Ram{\'i}rez-Corona and Eduardo S{\'a}nchez-Ram{\'i}rez and Heriberto Alcocer-Garc{\'i}a and {De Blasio}, Cataldo and Segovia-Hern{\'a}ndez, {Juan Gabriel}",

year = "2022",

month = jan,

doi = "10.1016/B978-0-323-95879-0.50136-3",

language = "English",

isbn = "978-0-323-95879-0",

volume = "51",

series = "Computer Aided Chemical Engineering",

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Romero-Garcia, AG, Ramírez-Corona, N, Sánchez-Ramírez, E, Alcocer-García, H, De Blasio, C & Segovia-Hernández, JG 2022, Design of sustainable processes for CO2 capture. in L Montastruc & S Negny (eds), PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32). vol. 51, Computer Aided Chemical Engineering, pp. 811-816. https://doi.org/10.1016/B978-0-323-95879-0.50136-3

Design of sustainable processes for CO2 capture. / Romero-Garcia, Ana Gabriela; Ramírez-Corona, Nelly; Sánchez-Ramírez, Eduardo et al.
PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32). ed. / Ludovic Montastruc; Stephane Negny. Vol. 51 2022. p. 811-816 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - Design of sustainable processes for CO2 capture

AU - Romero-Garcia, Ana Gabriela

AU - Ramírez-Corona, Nelly

AU - Sánchez-Ramírez, Eduardo

AU - Alcocer-García, Heriberto

AU - De Blasio, Cataldo

AU - Segovia-Hernández, Juan Gabriel

PY - 2022/1

Y1 - 2022/1

N2 - Global warming is one of the main environmental problems affecting the world. The continuous emissions of Carbon Dioxide (CO 2) released into the atmosphere have generated a critical environmental situation worldwide. It is reported that 70% of CO 2 emissions are related to electricity production. For this reason, if there is an increase in energy demand therefore it is expected to increase CO 2 emissions. Globally, different alternatives have been sought to reduce the environmental footprint related to CO 2 emissions, highlighting the implementation of capture and storage plants as a promising alternative. In this work it is presented the multiobjective optimization for the simulation of a CO 2 capture plant coupled to a power plant considering a stochastic optimization having as objective function the minimization of the environmental implications (Ecoindicator 99), the control properties (Condition Number), as well maximize the economic indicator (Return on investment). The analysis considered the most used fuels in the power plant. From the results, the design with the best overall performance is when natural gas is burned. Presenting the lower environmental impact with 22549.43kEcopoints and a return on investment of 73.24%. This results in a sustainable process with less environmental impact.

AB - Global warming is one of the main environmental problems affecting the world. The continuous emissions of Carbon Dioxide (CO 2) released into the atmosphere have generated a critical environmental situation worldwide. It is reported that 70% of CO 2 emissions are related to electricity production. For this reason, if there is an increase in energy demand therefore it is expected to increase CO 2 emissions. Globally, different alternatives have been sought to reduce the environmental footprint related to CO 2 emissions, highlighting the implementation of capture and storage plants as a promising alternative. In this work it is presented the multiobjective optimization for the simulation of a CO 2 capture plant coupled to a power plant considering a stochastic optimization having as objective function the minimization of the environmental implications (Ecoindicator 99), the control properties (Condition Number), as well maximize the economic indicator (Return on investment). The analysis considered the most used fuels in the power plant. From the results, the design with the best overall performance is when natural gas is burned. Presenting the lower environmental impact with 22549.43kEcopoints and a return on investment of 73.24%. This results in a sustainable process with less environmental impact.

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T3 - Computer Aided Chemical Engineering

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BT - PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32)

A2 - Montastruc, Ludovic

A2 - Negny, Stephane

ER -

Romero-Garcia AG, Ramírez-Corona N, Sánchez-Ramírez E, Alcocer-García H, De Blasio C, Segovia-Hernández JG. Design of sustainable processes for CO2 capture. In Montastruc L, Negny S, editors, PROCEEDINGS OF THE 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32). Vol. 51. 2022. p. 811-816. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-323-95879-0.50136-3

Design of sustainable processes for CO2 capture

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Tenure Track professur, Energitekniken

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