![]() ![]() We believe that incorporating the uncertainty associated with the calculation of the MN is important for developing a legislation for LNG quality as it would significantly enhance the confidence provided by the results of the calculation tools. For the first time to our knowledge the algorithm also determines the uncertainty associated with the calculated MN yielding expanded uncertainties that vary between 0.2 and 0.7 MN depending on the composition of the mixture. Our comparison indicates that the observed differences between the methods might stem from different approaches used for the higher hydrocarbon and inert gas corrections. The algorithm shows good agreement with other popular methods for a set of exemplar LNG mixtures covering a broad MN range between 60 and 99. This is in accordance with other modern MN calculation tools. ![]() List”) with automated calculation and optimisation routines that guarantee for a high degree of repeatability and reproducibility. It combines the detailed experimental data used to develop the commonly used method by AVL (“Anstalt für Verbrennungsmotoren Prof. In this work we present a novel, simple and robust algorithm for calculating the methane number from LNG composition. ![]() While the developments for an improved infrastructure for LNG are significantly advanced, no commonly agreed method for the characterization of LNG mixtures in terms of the so-called methane number (MN) exist. Liquefied natural gas (LNG) is increasing in importance both as an energy carrier and as a transport fuel. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |