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The influence of uncertainty in the development of a CO2 infrastructure network

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  • Knoope, M.M.J.
  • Ramírez, A.
  • Faaij, A.P.C.

Abstract

This study aimed to analyze whether, and how, uncertainty influences the layout and costs of a CO2 transportation network. The case without uncertainty is modelled with a perfect foresight (PF) model and with uncertainty with the real option approach (ROA). In this study, uncertainties in the CO2 price, tariff received per tonne of CO2 transported, the willingness, probability and moment that sources join the CO2 transportation network are incorporated in the analysis. The results show that uncertainty leads to higher required CO2 prices before investments in carbon dioxide capture and storage (CCS) are made. With a volatility of 47% in the CO2 price, the required CO2 price almost triples in comparison with the net present value approach. Hence, under uncertainty less sources are retrofitted with CCS and less CO2 is captured and stored over time. For instance, for the analyzed case study 31 Mt and 137 Mt CO2 is projected to be captured in the base scenario of ROA and PF model, respectively, in the period 2015–2050. If the volatility of the CO2 price is reduced with 50%, 96 Mt is projected to be captured in the ROA, which is still about one third less than in the PF model.

Suggested Citation

  • Knoope, M.M.J. & Ramírez, A. & Faaij, A.P.C., 2015. "The influence of uncertainty in the development of a CO2 infrastructure network," Applied Energy, Elsevier, vol. 158(C), pages 332-347.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:332-347
    DOI: 10.1016/j.apenergy.2015.08.024
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    1. A. Hacura & M. Jadamus-Hacura & A. Kocot, 2001. "Risk analysis in investment appraisal based on the Monte Carlo simulation technique," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 20(4), pages 551-553, April.
    2. Zhu, Lei & Fan, Ying, 2011. "A real options–based CCS investment evaluation model: Case study of China’s power generation sector," Applied Energy, Elsevier, vol. 88(12), pages 4320-4333.
    3. Fuss, Sabine & Szolgayova, Jana & Obersteiner, Michael & Gusti, Mykola, 2008. "Investment under market and climate policy uncertainty," Applied Energy, Elsevier, vol. 85(8), pages 708-721, August.
    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    5. Michael J. Kuby & Jeffrey M. Bielicki & Richard S. Middleton, 2011. "Optimal Spatial Deployment of CO2 Capture and Storage Given a Price on Carbon," International Regional Science Review, , vol. 34(3), pages 285-305, July.
    6. Zhang, Xian & Wang, Xingwei & Chen, Jiajun & Xie, Xi & Wang, Ke & Wei, Yiming, 2014. "A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties," Applied Energy, Elsevier, vol. 113(C), pages 1059-1067.
    7. Kuramochi, Takeshi & Ramírez, Andrea & Turkenburg, Wim & Faaij, André, 2013. "Techno-economic prospects for CO2 capture from distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 328-347.
    8. Szolgayova, Jana & Fuss, Sabine & Obersteiner, Michael, 2008. "Assessing the effects of CO2 price caps on electricity investments--A real options analysis," Energy Policy, Elsevier, vol. 36(10), pages 3974-3981, October.
    9. Peter S. Reinelt & David W. Keith, 2007. "Carbon Capture Retrofits and the Cost of Regulatory Uncertainty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 101-128.
    10. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, January.
    11. Sun, Liang & Chen, Wenying, 2013. "The improved ChinaCCS decision support system: A case study for Beijing–Tianjin–Hebei Region of China," Applied Energy, Elsevier, vol. 112(C), pages 793-799.
    12. S. Ping Ho & Liang Liu, 2002. "An option pricing-based model for evaluating the financial viability of privatized infrastructure projects," Construction Management and Economics, Taylor & Francis Journals, vol. 20(2), pages 143-156.
    13. Luis M. Abadie & Ibon Galarraga & Dirk Rübbelke, 2013. "Evaluation of Two Alternative Carbon Capture and Storage Technologies: A Stochastic Model," Working Papers 2013-07, BC3.
    14. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, January.
    15. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
    16. Abadie, Luis M. & Chamorro, José M., 2008. "European CO2 prices and carbon capture investments," Energy Economics, Elsevier, vol. 30(6), pages 2992-3015, November.
    17. Middleton, Richard S. & Bielicki, Jeffrey M., 2009. "A scalable infrastructure model for carbon capture and storage: SimCCS," Energy Policy, Elsevier, vol. 37(3), pages 1052-1060, March.
    18. Somayeh Heydari & Nick Ovenden & Afzal Siddiqui, 2012. "Real options analysis of investment in carbon capture and sequestration technology," Computational Management Science, Springer, vol. 9(1), pages 109-138, February.
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