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Evaluation of uncertainty associated with totalisation of time-sampled data in gas quantity and energy measurements
ID Kutin, Jože (Author), ID Bobovnik, Gregor (Author), ID Gugole, Federica (Author), ID Veen, Adriaan M.H. van der (Author)

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Abstract
The measurement uncertainty attributed to gas quantity and energy measurements includes among others a contribution for the calculation of the total/average from time-sampled data. The aim of this paper is to establish a procedure for evaluation of this component of uncertainty, which considers contributions related to deterministic and random variations of the input data. The principal steps of the proposed procedure are (i) separation of deterministic and random components via time-domain filtering, (ii) evaluation of uncertainty associated with deterministic component by the decimation method and (iii) evaluation of uncertainty associated with random component by statistical analysis. The paper presents this evaluation procedure for a test case of time-sampled data of the superior calorific value.

Language:English
Keywords:gas energy measurements, time-sampled data, deterministic variations, random variations, time-domain filtering, measurement uncertainty
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:4 str.
Numbering:Vol. 38, suppl., art. 101572
PID:20.500.12556/RUL-171062 This link opens in a new window
UDC:621.317:533
ISSN on article:2665-9174
DOI:10.1016/j.measen.2024.101572 This link opens in a new window
COBISS.SI-ID:234750979 This link opens in a new window
Publication date in RUL:30.07.2025
Views:600
Downloads:316
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Record is a part of a journal

Title:Measurement : Sensors
Publisher:Elsevier
ISSN:2665-9174
COBISS.SI-ID:56318211 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Projects

Funder:Other - Other funder or multiple funders
Funding programme:European Union’s Horizon 2020
Project number:21GRD05

Funder:UKRI - UK Research and Innovation
Project number:10064205
Name:Met4H2 Clean Hydrogen

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0223
Name:Prenos toplote in snovi

Funder:Other - Other funder or multiple funders
Funding programme:Ministry of Economic Affairs and Climate Policy, Netherlands

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