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 journalArticleAcademicpeer-review

9 Citations (Scopus)
185 Downloads (Pure)

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 languageEnglish
Pages (from-to)40-51
Number of pages12
JournalComputers and Chemical Engineering
Volume102
Early online date6 Sep 2016
DOIs
Publication statusPublished - 2017

Fingerprint

Supply chains
Costs
Mathematical models
Adsorption

Cite this

@article{fc6d4ef612a64ab4b806237a8ac8cdbc,
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 = "Carbon capture, CO2 reduction, Supply Chain, Optimization, CCS, Mathematical Model",
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",
language = "English",
volume = "102",
pages = "40--51",
journal = "Computers and Chemical Engineering",
issn = "0098-1354",
publisher = "Elsevier",

}

Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands. / Kalyanarengan Ravi, N.; van Sint Annaland, M.; Fransoo, J.C.; Grievink, J.; Zondervan, E.

In: Computers and Chemical Engineering, Vol. 102, 2017, p. 40-51.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands

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

AB - 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

KW - Carbon capture, CO2 reduction, Supply Chain, Optimization, CCS, Mathematical Model

U2 - 10.1016/j.compchemeng.2016.08.011

DO - 10.1016/j.compchemeng.2016.08.011

M3 - Article

VL - 102

SP - 40

EP - 51

JO - Computers and Chemical Engineering

JF - Computers and Chemical Engineering

SN - 0098-1354

ER -