An MILP model of post-combustion carbon capture based on detailed process simulation

Lukas Weimann; Guus Dubbink; Louis van der Ham; Gert Jan Kramer; Matteo Gazzani

doi:10.1016/B978-0-323-88506-5.50051-6

An MILP model of post-combustion carbon capture based on detailed process simulation

Lukas Weimann, Guus Dubbink, Louis van der Ham, Gert Jan Kramer, Matteo Gazzani^*

^*Corresponding author for this work

Sustainable Process Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

123 Downloads (Pure)

Abstract

This contribution presents an integer-linear model of a post-combustion carbon capture plant featuring discrete sizing, part load operation and dynamic behavior. In particular, the model covers a design space from 200 t_CO2/h (size of Petra Nova) down to 7.5 t_CO2/h, a part load operation range from 50% to 100%, and a CO₂ concentration range from 7.5% to 12%. Starting with detailed, partly rate-based, models in Aspen Plus and deriving linear performance planes thereof allows to bring process model information into a linear system modeling domain for a reasonable range of design specifications. By applying this model to a low-emission energy system design optimization, its practicability and added value could be demonstrated. The simulations show that especially for systems with high non-dispatchable energy generation, the information about the carbon capture plant's dynamic behavior is essential. To fit the scope of this paper, the mathematical formulation of the model is reported in a condensed manner. However, all information required to formulate the model is provided.

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Publisher	Elsevier
Pages	319-325
Number of pages	7
Volume	50
DOIs	https://doi.org/10.1016/B978-0-323-88506-5.50051-6
Publication status	Published - Jan 2021
Event	31st European Symposium on Computer Aided Process Engineering, ESCAPE 2021 - Istanbul, Turkey Duration: 6 Jun 2021 → 9 Jun 2021 Conference number: 31

Publication series

Name	Computer Aided Chemical Engineering
Volume	50
ISSN (Print)	1570-7946

Conference

Conference	31st European Symposium on Computer Aided Process Engineering, ESCAPE 2021
Abbreviated title	ESCAPE 2021
Country/Territory	Turkey
City	Istanbul
Period	6/06/21 → 9/06/21

Keywords

2022 OA procedure
energy system design
low emission
MILP
CCS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-323-88506-5.50051-6

1-s2.0-B9780323885065500516-mainFinal published version, 427 KBLicence: Taverne

Cite this

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title = "An MILP model of post-combustion carbon capture based on detailed process simulation",

abstract = "This contribution presents an integer-linear model of a post-combustion carbon capture plant featuring discrete sizing, part load operation and dynamic behavior. In particular, the model covers a design space from 200 tCO2/h (size of Petra Nova) down to 7.5 tCO2/h, a part load operation range from 50% to 100%, and a CO2 concentration range from 7.5% to 12%. Starting with detailed, partly rate-based, models in Aspen Plus and deriving linear performance planes thereof allows to bring process model information into a linear system modeling domain for a reasonable range of design specifications. By applying this model to a low-emission energy system design optimization, its practicability and added value could be demonstrated. The simulations show that especially for systems with high non-dispatchable energy generation, the information about the carbon capture plant's dynamic behavior is essential. To fit the scope of this paper, the mathematical formulation of the model is reported in a condensed manner. However, all information required to formulate the model is provided.",

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author = "Lukas Weimann and Guus Dubbink and {van der Ham}, Louis and Kramer, {Gert Jan} and Matteo Gazzani",

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Weimann, L, Dubbink, G, van der Ham, L, Kramer, GJ & Gazzani, M 2021, An MILP model of post-combustion carbon capture based on detailed process simulation. in Computer Aided Chemical Engineering. vol. 50, Computer Aided Chemical Engineering, vol. 50, Elsevier, pp. 319-325, 31st European Symposium on Computer Aided Process Engineering, ESCAPE 2021, Istanbul, Turkey, 6/06/21. https://doi.org/10.1016/B978-0-323-88506-5.50051-6

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AU - Weimann, Lukas

AU - Dubbink, Guus

AU - van der Ham, Louis

AU - Kramer, Gert Jan

AU - Gazzani, Matteo

N1 - Conference code: 31

PY - 2021/1

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N2 - This contribution presents an integer-linear model of a post-combustion carbon capture plant featuring discrete sizing, part load operation and dynamic behavior. In particular, the model covers a design space from 200 tCO2/h (size of Petra Nova) down to 7.5 tCO2/h, a part load operation range from 50% to 100%, and a CO2 concentration range from 7.5% to 12%. Starting with detailed, partly rate-based, models in Aspen Plus and deriving linear performance planes thereof allows to bring process model information into a linear system modeling domain for a reasonable range of design specifications. By applying this model to a low-emission energy system design optimization, its practicability and added value could be demonstrated. The simulations show that especially for systems with high non-dispatchable energy generation, the information about the carbon capture plant's dynamic behavior is essential. To fit the scope of this paper, the mathematical formulation of the model is reported in a condensed manner. However, all information required to formulate the model is provided.

AB - This contribution presents an integer-linear model of a post-combustion carbon capture plant featuring discrete sizing, part load operation and dynamic behavior. In particular, the model covers a design space from 200 tCO2/h (size of Petra Nova) down to 7.5 tCO2/h, a part load operation range from 50% to 100%, and a CO2 concentration range from 7.5% to 12%. Starting with detailed, partly rate-based, models in Aspen Plus and deriving linear performance planes thereof allows to bring process model information into a linear system modeling domain for a reasonable range of design specifications. By applying this model to a low-emission energy system design optimization, its practicability and added value could be demonstrated. The simulations show that especially for systems with high non-dispatchable energy generation, the information about the carbon capture plant's dynamic behavior is essential. To fit the scope of this paper, the mathematical formulation of the model is reported in a condensed manner. However, all information required to formulate the model is provided.

KW - 2022 OA procedure

KW - energy system design

KW - low emission

KW - MILP

KW - CCS

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ER -

An MILP model of post-combustion carbon capture based on detailed process simulation

Abstract

Publication series

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Keywords

UN SDGs

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