Multi-period Least Cost Optimisation Model of an Integrated Carbon Dioxide Capture Transportation and Storage Infrastructure in the UK

Abstract The commercial deployment of CO 2 capture and storage (CCS) technology requires whole system optimisation of the CO 2 supply, transport and storage chain under evolving targets or constraints. Most of the earlier attempts to model CCS networks were deterministic steady state models. The very few multi-period spatially explicit CCS models are unable to simultaneously make investment decisions for the three components of the chain for an overall cost optimal solution or they only demonstrate the evolution of the transport network. This work presents a multi-period spatially explicit least cost optimisation model of an integrated CO 2 capture, transportation and storage infrastructure. The model is showcased through a case study focusing on the future UK CCS infrastructure. The solution demonstrates the investment requirement and operational strategy for all components of the chain at each phase and, hence, shows how the system evolves through four time periods up to year 2050. The non- intuitive results of the multi-period model confirm that such a tool is essential for large scale CCS deployment.

[1]  Dianne E. Wiley,et al.  Steady-state optimisation of CCS pipeline networks for cases with multiple emission sources and injection sites: south-east Queensland case study , 2011 .

[2]  Meysam Qadrdan,et al.  A model for investigation of optimal hydrogen pathway, and evaluation of environmental impacts of hydrogen supply system , 2008 .

[3]  Nilay Shah,et al.  Design and operation of a future hydrogen supply chain: Multi-period model , 2009 .

[4]  Richard S. Middleton,et al.  Optimal Spatial Deployment of CO2 Capture and Storage Given a Price on Carbon , 2011 .

[5]  Joan M. Ogden,et al.  Detailed spatial modeling of carbon capture and storage (CCS) infrastructure deployment in the southwestern United States , 2011 .

[6]  Andrea Ramírez,et al.  Planning CCS Development in the West Mediterranean , 2013 .

[7]  Nigel P. Brandon,et al.  Optimal transition towards a large-scale hydrogen infrastructure for the transport sector: The case , 2011 .

[8]  Jana P. Jakobsen,et al.  A standardized Approach to Multi-criteria Assessment of CCS Chains , 2013 .

[9]  In-Beum Lee,et al.  A preliminary infrastructure design to use fossil fuels with carbon capture and storage and renewable energy systems , 2012 .

[10]  Filip Johnsson,et al.  Modelling Large-scale CCS Development in Europe Linking Techno- economic Modelling to Transport Infrastructure☆ , 2013 .

[11]  Richard S. Middleton,et al.  Generating candidate networks for optimization: The CO2 capture and storage optimization problem , 2012, Comput. Environ. Urban Syst..

[12]  Alexander G. Kemp,et al.  A futuristic least-cost optimisation model of CO2 transportation and storage in the UK/UK Continental Shelf , 2010 .