A supply chain optimization framework for CO2 emission reduction

N. Kalyanarengan Ravi, E. Zondervan, M. van Sint Annaland, J.C. Fransoo, J. Grievink, T. Claus (Editor), F. Herrmann (Editor), M. Manitz (Editor), O. Rose (Editor)

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Abstract

A major challenge for the industrial deployment of a CO2 emission reduction methodology is to reduce the overall cost and the integration of all the nodes in the supply chain for CO2 emission reduction. In this work, we develop a mixed integer linear optimization model that selects appropriate sources, capture process, transportation network and CO2 storage sites and optimize for a minimum overall cost. Initially, we screen the sources and storage options available in the Netherlands at different levels of detail (locations and industrial activities) and present the network of major sources and storage sites at the more detailed level. Results for a case study estimate the overall optimized cost to be €47.8 billion for 25 years of operation and 54 Mtpa reduction of CO2 emissions (30% of the 2013 levels). This work also identifies the preferred technologies for the CO2 capture and we discuss the reasons behind it. The foremost outcome of this case study is that capture and compression consumes the majority of the costs and that further optimization or introduction of new efficient technologies for capture can cause a major reduction in the overall costs.
Original languageEnglish
Title of host publicationProceedings of the 30th European Conference on Modelling and Simulation (ECMS 2016)
EditorsThorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose
Place of PublicationRegensburg
Number of pages7
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event30th European Conference on Modelling and Simulation - Regensburg, Germany
Duration: 31 May 20163 Jun 2016

Conference

Conference30th European Conference on Modelling and Simulation
Abbreviated titleECMS 2016
Country/TerritoryGermany
CityRegensburg
Period31/05/163/06/16

Keywords

  • Supply Chain optimization
  • CO2 reduction

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