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 journalArticleScientificpeer-review

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
Original languageEnglish
Pages (from-to)40-51
Number of pages12
JournalComputers & Chemical Engineering
Volume102
DOIs
Publication statusPublished - 2017

Keywords

  • CCS
  • CO reduction
  • Carbon capture
  • Mathematical model
  • Optimization
  • Supply chain

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