Uncertainty analysis in the techno-economic assessment of CO2 capture and storage technologies. Critical review and guidelines for use. (September 2020)

• Record Type: Journal Article
• Authors: van der Spek, Mijndert; Fout, Timothy; Garcia, Monica; Kuncheekanna, Vishalini Nair; Matuszewski, Michael; McCoy, Sean; Morgan, Joshua; Nazir, Shareq Mohd; Ramirez, Andrea; Roussanaly, Simon; Rubin, Edward S.
• Is Part Of: International journal of greenhouse gas control. Volume 100(2020)
• Publication Date: 2020-09
• Subjects: Sensitivity analysis -- Monte carlo simulation -- CCS -- Pedigree analysis -- Pseudo-statistical approach -- Design under uncertainty -- Sequential design of experiments -- Uncertainty analysis software -- Uncertainty quantification; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2020.103113
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: Sound uncertainty analysis is indispensable to CCS techno-economic analysis and its communication. Many different uncertainty analysis methods exist, all with their merits and drawbacks. Guidelines for method selection are presented based on analysis purpose and other criteria. Emerging and advanced uses of uncertainty analysis are presented. Available software is discussed, including current limitations. Abstract: Uncertainty analysis is a key element of sound techno-economic analysis (TEA) of CO2 Capture and Storage (CCS) technologies and systems, and in the communication of TEA results. Many CCS technologies are relatively novel, with only few large-scale projects constructed and in operation to date. Therefore, uncertainties in technology performance and costs are often substantial, making it imperative that they be characterized and reported. Although uncertainty analysis itself is not novel, with some methods already frequently used by the CCS TEA community, a document that provides a comprehensive overview of methods and approaches, as well as guidance on their selection and use, is still lacking. Given its importance, we seek to fill this gap by providing a critical review of uncertainty analysis methods along with guidance on the selection and use of these methods for CCS TEAs, highlighting good practice and examples from the CCS literature. The paper starts by identifying the different audiences for CCS TEAs, the different modelling approaches available for CCS technology performance and cost analysis, and the different roles that uncertainty analysis may play. It then continues to discuss established, as well as emerging, uncertainty analysis methods and addresses how and when each method is best used, as well as common pitfalls. We argue that the most commonly used method of one-parameter-at-a-time 'local' sensitivity analysis may often be a suboptimal choice, and that other approaches may be more suitable or lead to more insight, especially since uncertainty analysis software is becoming more widespread and easier to use. Finally, the paper discusses the benefits of advanced uses of uncertainty analysis in, for instance, the design of CCS experiments or in the design and planning of CCS infrastructure. Sound uncertainty analysis has an important role to play in TEAs of CCS technologies and systems, and there are many opportunities to bring the use of uncertainty analysis to a higher level than currently practiced. This review of and guidance on available methods is intended to help accelerate continued methods development and their application to more robust and meaningful CCS performance and costing studies.