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)

148 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

@inbook{5e7290d576234c778b12b0bcc79ef2ce,

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.",

keywords = "2022 OA procedure, energy system design, low emission, MILP, CCS",

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

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.; 31st European Symposium on Computer Aided Process Engineering, ESCAPE 2021, ESCAPE 2021 ; Conference date: 06-06-2021 Through 09-06-2021",

year = "2021",

month = jan,

doi = "10.1016/B978-0-323-88506-5.50051-6",

language = "English",

volume = "50",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "319--325",

booktitle = "Computer Aided Chemical Engineering",

}

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

TY - CHAP

T1 - An MILP model of post-combustion carbon capture based on detailed process simulation

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

Y1 - 2021/1

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

UR - https://www.scopus.com/pages/publications/85110451445

U2 - 10.1016/B978-0-323-88506-5.50051-6

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

M3 - Chapter

AN - SCOPUS:85110451445

VL - 50

T3 - Computer Aided Chemical Engineering

SP - 319

EP - 325

BT - Computer Aided Chemical Engineering

PB - Elsevier

T2 - 31st European Symposium on Computer Aided Process Engineering, ESCAPE 2021

Y2 - 6 June 2021 through 9 June 2021

ER -

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this