Unravelling uncertainty and variability in early stage techno-economic assessments of carbon capture technologies

This paper addresses the uncertainty and variability in techno-economic studies of carbon capture technologies, based on a detailed comparison of the results of different studies on postcombustion CO2 capture with advanced amines, and on an in-depth uncertainty analysis using a combination of sensitivity and pedigree analyses. The results show that despite efforts to harmonize capital cost estimates, the capital cost results of the same PCC carbon capture systems can still show large (65%) differences. This uncertainty may simply be inherent to early stage cost estimates. Amongst the most important causes for the variability shown in this work are differences in equipment sizing methods and purchased equipment cost estimates. This capital cost variability only mildly propagates into the Levelised Cost of Electricity and Cost of CO2 Avoided, more so in case of low power plant utilisation scenarios. To enhance insight into these uncertainties and enable their communication, the paper argues to use in-depth uncertainty evaluation for early stage techno-economic studies. It suggests to complement current practice of sensitivity analysis with pedigree analysis and to combine the results of both analyses in diagnostic diagrams. This may lead to more informed interpretation of the results of techno-economic studies, and helps focus techno-economic research efforts towards the parameters that most influence final performance indicators.

[1]  Lora L Pinkerton,et al.  Cost and Performance Baseline for Fossil Energy Plants Volume 1a: Bituminous Coal (PC) and Natural Gas to Electricity Revision 3 , 2011 .

[2]  Edward S Rubin,et al.  A technical, economic, and environmental assessment of amine-based CO2 capture technology for power plant greenhouse gas control. , 2002, Environmental science & technology.

[3]  E. Rubin,et al.  A technical and economic assessment of ammonia-based post-combustion CO2 capture at coal-fired power plants , 2011 .

[4]  Jacob Nygaard Knudsen,et al.  Experience with CO2 capture from coal flue gas in pilot-scale: Testing of different amine solvents , 2009 .

[5]  Edward S. Rubin,et al.  Uncertainties in CO2 Capture and Sequestration Costs , 2003 .

[6]  Iain Staffell,et al.  The role of flexible CCS in the UK's future energy system , 2016 .

[7]  Gary T. Rochelle,et al.  Thermodynamics of aqueous potassium carbonate, piperazine, and carbon dioxide , 2005 .

[8]  Aie Coal Information 2011 , 2011 .

[9]  Edward S. Rubin,et al.  Understanding the pitfalls of CCS cost estimates , 2012 .

[10]  Edward S. Rubin,et al.  A proposed methodology for CO2 capture and storage cost estimates , 2013 .

[11]  Bo Pedersen Weidema,et al.  Multi-user test of the data quality matrix for product life cycle inventory data , 1998 .

[12]  Ennio Macchi,et al.  Thermodynamic assessment of amine based CO2 capture technologies in power plants based on European Benchmarking Task Force methodology , 2014 .

[13]  P. Carrette,et al.  New Amines for CO2 Capture. II. Oxidative Degradation Mechanisms , 2009 .

[14]  G. Versteeg,et al.  CO2 capture from power plants. Part I: A parametric study of the technical performance based on monoethanolamine , 2007 .

[15]  Machteld van den Broek,et al.  Operational flexibility and economics of power plants in future low-carbon power systems , 2015 .

[16]  Tielin Wang,et al.  Oxidative degradation of aqueous PZ solution and AMP/PZ blends for post-combustion carbon dioxide capture , 2014 .

[17]  Jacob Nygaard Knudsen,et al.  Evaluation of process upgrades and novel solvents for the post combustion CO2 capture process in pilot-scale , 2011 .

[18]  André Faaij,et al.  Model development and process simulation of postcombustion carbon capture technology with aqueous AMP/PZ solvent , 2016 .

[19]  Edgar G. Hertwich,et al.  Environmental Due Diligence of CO2 Capture and Utilization Technologies – Framework and application , 2014 .

[20]  Harvey M. Wagner,et al.  Global Sensitivity Analysis , 1995, Oper. Res..

[21]  E. Rubin,et al.  The cost of CO2 capture and storage , 2015 .

[22]  S. Funtowicz,et al.  Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  Nikolett Sipöcz,et al.  Natural gas combined cycle power plants with CO2 capture – Opportunities to reduce cost , 2012 .

[24]  Helen Kerr CO2 Capture Project: An Integrated, Collaborative Technology Development Project For CO2 Separation, Capture And Geologic Sequestration , 2002 .

[25]  Marcus Hilliard,et al.  A predictive thermodynamic model for an aqueous blend of potassium carbonate, piperazine, and monoethanolamine for carbon dioxide capture from flue gas , 2008 .

[26]  Louis J. Durlofsky,et al.  A new carbon capture proxy model for optimizing the design and time-varying operation of a coal-natural gas power station , 2016 .

[27]  P. Carrette,et al.  Amine degradation in CO2 capture. I. A review , 2012 .

[28]  Ennio Macchi,et al.  Economic assessment of novel amine based CO2 capture technologies integrated in power plants based on European Benchmarking Task Force methodology , 2015 .

[29]  A. M. Gerrard Guide to Capital Cost Estimating , 2000 .

[30]  Gary T. Rochelle,et al.  Degradation of aqueous piperazine in carbon dioxide capture , 2010 .

[31]  André Faaij,et al.  Improving uncertainty evaluation of process models by using pedigree analysis. A case study on CO2 capture with monoethanolamine , 2016, Comput. Chem. Eng..

[32]  Edward S. Rubin,et al.  The outlook for improved carbon capture technology , 2012 .

[33]  Hanne M. Kvamsdal,et al.  Optimizing integrated reference cases in the OCTAVIUS project , 2016 .

[34]  Ming Zhao,et al.  A review of techno-economic models for the retrofitting of conventional pulverised-coal power plants for post-combustion capture (PCC) of CO2 , 2013 .

[35]  Timothy E. Fout,et al.  Advances in CO2 capture technology—The U.S. Department of Energy's Carbon Sequestration Program ☆ , 2008 .