Development and implementation of supply chain optimization framework for CO2 capture and storage in the Netherlands. (12th July 2017)

• Record Type: Journal Article
• Authors: Kalyanarengan Ravi, Narayen; Van Sint Annaland, Martin; Fransoo, Jan C.; Grievink, Johan; Zondervan, Edwin
• Is Part Of: Computers & chemical engineering. Volume 102(2017)
• Page Start: 40
• Page End: 51
• Publication Date: 2017-07-12
• Subjects: Carbon capture -- CO2 reduction -- Supply chain -- Optimization -- CCS -- Mathematical model; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2016.08.011
• Languages: English
• ISSNs: 0098-1354

Abstract

Abstract : Highlights: Novel optimization framework for the carbon capture and storage in the Netherlands. Adsorption is the preferred post-combustion CO2 capture technology. Capture costs cannot be reduced adequately by having a central capture plant. 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.