A supply chain optimization framework for CO₂ emission reduction

A supply chain optimization framework for CO₂ emission reduction: Case of the Netherlands

Ravi, Narayen Kalyanarengan (Eindhoven University of Technology)
Zondervan, Edwin (University of Bremen)
Van Sint Annaland, Martin (Eindhoven University of Technology)
Fransoo, J. C. (Eindhoven University of Technology)
Grievink, J. (TU Delft ChemE/Product and Process Engineering)

2016

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.

Carbon capture
CCS
CO reduction
Mathematical Model
Optimization
Supply Chain

http://resolver.tudelft.nl/uuid:5a212a17-fa0f-4d73-a623-ece723e751b3

https://doi.org/10.7148/2016-0439

European Council for Modelling and Simulation

9780993244025

Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016

30th European Conference on Modelling and Simulation, ECMS 2016, 2016-05-31 → 2016-06-03, Regensburg, Germany

Institutional Repository

conference paper

© 2016 Narayen Kalyanarengan Ravi, Edwin Zondervan, Martin Van Sint Annaland, J. C. Fransoo, J. Grievink