Abstract
This study shows that using better material property predictions results in better source-term modeling for high molecular weight substances. Viscosity, density, and enthalpy are used as a function of process variables, namely, temperature and pressure, and mixing effects. The viscosity prediction uses an improvement on current predictions by combining b-parameter and Modified Chung-Lee-starling (MCLS) viscosity predictions for the employed pseudo-mixtures. The source-term model used is SPILLS. It is an established, publicly available model, which has been incorporated into several proprietary dispersion modeling packages. The model is modified to accommodate new material property relationships. The final results compared in this work are evaporation rates for pseudo-mixtures of petroleum fractions. The results are compared to actual SPILLS model prediction. The model is also compared using pentane with experimental evaporation data. Currently, this work is valid for crude compositions and can be extended for other materials that meet the new property prediction criterion. This work can also be extended to other areas of source-term and dispersion modeling, namely, aerosol entrainment, rainout predictions, and vapor cloud dispersion.
Shaikh, Irfan Yusuf (1999). Role of viscosity in the accurate prediction of source-terms for high molecular weight substances. Master's thesis, Texas A&M University. Available electronically from
https : / /hdl .handle .net /1969 .1 /ETD -TAMU -1999 -THESIS -S47.