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 dierent scenarios are formu- lated 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 AC47.8 billion for 25 years of operation and 54 Mtpa capture of CO2. Based on the investigated technologies, this work identies Pressure Swing Adsorption (PSA) as the most ecient 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 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