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Digital
Library of the European Council for Modelling
and Simulation |
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Title: |
A
Supply Chain Optimization Framework For CO2 Emission Reduction: Case Of The
Netherlands |
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Authors: |
Narayen Kalyanarengan Ravi, Edwin
Zondervan, Martin Van Sint Annaland, J.C. (Jan) Fransoo, Johan Grievink |
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Published in:
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(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European
Council for Modeling and Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
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Citation
format: |
Narayen Kalyanarengan Ravi, Edwin
Zondervan, Martin Van Sint Annaland, J.C. (Jan) Fransoo, Johan Grievink
(2016). A Supply Chain Optimization Framework For CO2 Emission Reduction: Case
Of The Netherlands, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank
Herrmann, Michael Manitz, Oliver Rose European Council for Modeling
and Simulation. doi:10.7148/2016-0439 |
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DOI: |
http://dx.doi.org/10.7148/2016-0439 |
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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. |
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