Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands

N. Kalyanarengan Ravi; M. van Sint Annaland; J.C. Fransoo; J. Grievink; E. Zondervan

doi:10.1016/j.compchemeng.2016.08.011

Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands

N. Kalyanarengan Ravi, M. van Sint Annaland, J.C. Fransoo, J. Grievink, E. Zondervan

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

In this work, we develop a mixed integer linear optimization model that can be used to select appropriate sources, capture technologies, transportation network and CO2 storage sites and optimize for a minimum overall cost for a nationwide CO2 emission reduction in the Netherlands. Five different scenarios are formulated by varying the location of source and storage sites available in the Netherlands. The results show that the minimum overall cost of all scenarios is €47.8 billion for 25 years of operation and 54 Mtpa capture of CO2. Based on the investigated technologies, this work identifies Pressure Swing Adsorption (PSA) as the most efficient for post-combustion CO2 capture in the Netherlands. The foremost outcome of this study is that the capture and compression is the dominant force contributing to a majority of the cost.

Keywords
Carbon capture;
CO2 reduction;
Supply chain;
Optimization;
CCS;
Mathematical model

Original language	English
Pages (from-to)	40-51
Number of pages	12
Journal	Computers and Chemical Engineering
Volume	102
Early online date	6 Sept 2016
DOIs	https://doi.org/10.1016/j.compchemeng.2016.08.011
Publication status	Published - 2017

Keywords

CCS
CO reduction
Carbon capture
Mathematical model
Optimization
Supply chain

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10.1016/j.compchemeng.2016.08.011

submitted manuscriptSubmitted manuscript, 2.67 MBLicence: Unspecified
publisher versionFinal published version, 2.45 MBLicence: TAVERNE

Cite this

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title = "Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands",

abstract = "In this work, we develop a mixed integer linear optimization model that can be used to select appropriate sources, capture technologies, transportation network and CO2 storage sites and optimize for a minimum overall cost for a nationwide CO2 emission reduction in the Netherlands. Five different scenarios are formulated by varying the location of source and storage sites available in the Netherlands. The results show that the minimum overall cost of all scenarios is €47.8 billion for 25 years of operation and 54 Mtpa capture of CO2. Based on the investigated technologies, this work identifies Pressure Swing Adsorption (PSA) as the most efficient for post-combustion CO2 capture in the Netherlands. The foremost outcome of this study is that the capture and compression is the dominant force contributing to a majority of the cost.KeywordsCarbon capture; CO2 reduction; Supply chain; Optimization; CCS; Mathematical model",

keywords = "CCS, CO reduction, Carbon capture, Mathematical model, Optimization, Supply chain",

author = "{Kalyanarengan Ravi}, N. and {van Sint Annaland}, M. and J.C. Fransoo and J. Grievink and E. Zondervan",

year = "2017",

doi = "10.1016/j.compchemeng.2016.08.011",

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volume = "102",

pages = "40--51",

journal = "Computers and Chemical Engineering",

issn = "0098-1354",

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AU - Kalyanarengan Ravi, N.

AU - van Sint Annaland, M.

AU - Fransoo, J.C.

AU - Grievink, J.

AU - Zondervan, E.

PY - 2017

Y1 - 2017

N2 - In this work, we develop a mixed integer linear optimization model that can be used to select appropriate sources, capture technologies, transportation network and CO2 storage sites and optimize for a minimum overall cost for a nationwide CO2 emission reduction in the Netherlands. Five different scenarios are formulated by varying the location of source and storage sites available in the Netherlands. The results show that the minimum overall cost of all scenarios is €47.8 billion for 25 years of operation and 54 Mtpa capture of CO2. Based on the investigated technologies, this work identifies Pressure Swing Adsorption (PSA) as the most efficient for post-combustion CO2 capture in the Netherlands. The foremost outcome of this study is that the capture and compression is the dominant force contributing to a majority of the cost.KeywordsCarbon capture; CO2 reduction; Supply chain; Optimization; CCS; Mathematical model

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KW - CCS

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KW - Carbon capture

KW - Mathematical model

KW - Optimization

KW - Supply chain

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JO - Computers and Chemical Engineering

JF - Computers and Chemical Engineering

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Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands

Abstract

Keywords

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