In this short course on measurement uncertainty in gas analysis, the emphasis lay on calculations derived from analytical data. Such calculations played an important role in the transmission and distribution of energy gases, carbon dioxide and other commodities.
Evaluating measurement uncertainty was important, as there were usually legislative, regulatory and commercial requirements to be met. Assessing and demonstrating compliance with such requirements required knowledge of the uncertainty associated with the measurement result.
It was shown how the well-known law of propagation of uncertainty could be used with models for which it was not evident how to calculate partial derivatives, such as equations of state used to calculate, for example, compressibility factors, densities and energies.
Furthermore, it was shown how to calculate time averages from measurement data in grids and networks.