A New Correlation for Prediction of CO2 Viscosity: Application to Carbon Capture and Storage (CCS) Processes

Thermophysical characteristics of carbon dioxide are vital for execution, and planning of carbon capture and storage (CCS) processes. While thermodynamic properties such as vapor pressure are more important, the transport parameters such as viscosity play crucial role for design of CCS processes. It is straightforward to use an equation of state (EoS) to predict such parameters; however, these methods cannot predict all parameters precisely. Review of literature shows that an EoS is not suitable for estimation of viscosity ( Heidaryan et al. 2011 ). Recently, some models were proposed for estimation of the viscosity of CO2 ( Bahadori and Vuthaluru 2010 , Heidaryan, Hatami, Rahimi and Moghadasi 2011 ). Present study investigates the applicability of a new correlation for estimation of carbon dioxide viscosity. The new correlation is put into comparison with the literature available correlations and it was concluded that the despite its simple for