Work

Measurement Uncertainty in the Totalisation of Quantity and Energy Measurement in Gas Grids

Year: 2025

Type: article

Abstract: The total quantity and energy delivered through a gas grid is calculated using simple formulas that sum the increments measured at regular time intervals. These calculations are described in international standards (e.g., ISO 15112 and EN 1776) and guidelines (e.g., OIML R140). Currently, in the evaluation of the associated measurement uncertainty, the measurement results that enter into the calculation are assumed to be mutually independent. This assumption leads to underrating of the measurement uncertainty. There is a growing concern among transmission and distribution system operators that this assumption and the obtained values for the measurement uncertainty are not fit for purpose when fluctuations in gas quantity and quality increase, which occurs when injecting renewable energy gases such as hydrogen and biomethane. In a project in the European Partnership for Metrology programme, "Metrology for the hydrogen supply chain", the underlying assumptions of these uncertainty evaluations are revisited and reworked to be more adequate. The dependence of measurement results coming from, e.g., the same flow meter and gas chromatograph will be assessed for correlations, as well as other effects, such as the effect of the chosen mathematical approximation of the totalisation integral, and fluctuations in flow rate and gas quality. % The poster presentation gives an impression of the models being developed, the first findings and the magnitudes of the effects concerned. In this paper, an outline is given for the improvements that can be made in the measurement models to make them more responsive to the error structure of the measurement data, temporal effects in these data, and the fluctuations in gas quality and gas quantity.

Source: Gases

DOI: 10.3390/gases5020007

Authors: Adriaan M. H. van der Veen, Kjetil Folgerø, Federica Gugole

Institutions: VSL National Metrology Institute, NORCE Research AS

Language: English

Topic: Scientific Measurement and Uncertainty Evaluation

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: gold

Estimated APC paid: $1,207