Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection

Unscented Kalman Filtering is applied to district heating meter data and GIS-data from a utility network to simultaneously identify temperature offsets in utility meters and service pipe insulation. Implementing estimation of the temperature in the main pipe allows for more accurate results, which a...

Full description

Saved in:
Bibliographic Details
Main Authors: Østergaard Peter F., Daugbjerg Thomas S., Kok Gertjan
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_07002.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849730427493810176
author Østergaard Peter F.
Daugbjerg Thomas S.
Kok Gertjan
author_facet Østergaard Peter F.
Daugbjerg Thomas S.
Kok Gertjan
author_sort Østergaard Peter F.
collection DOAJ
description Unscented Kalman Filtering is applied to district heating meter data and GIS-data from a utility network to simultaneously identify temperature offsets in utility meters and service pipe insulation. Implementing estimation of the temperature in the main pipe allows for more accurate results, which also respect physical constraints. Unscented Transformations allow for easier implementation of the algorithm compared to existing solutions, as linearization is avoided. Correcting for potential offsets in the temperature measurement of the utility meter allows for a better estimation of the insulation level of the service pipe, improving the ability for the utilities to pinpoint their efforts in optimizing their renovation activities over several areas of interest.
format Article
id doaj-art-3b95b2a01d3f4b56a3ee4ff989add434
institution DOAJ
issn 2100-014X
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series EPJ Web of Conferences
spelling doaj-art-3b95b2a01d3f4b56a3ee4ff989add4342025-08-20T03:08:52ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013230700210.1051/epjconf/202532307002epjconf_cim2025_07002Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level DetectionØstergaard Peter F.0Daugbjerg Thomas S.1Kok Gertjan2Danish Technological Institute, Energy and ClimateDanish Technological Institute, Energy and ClimateVSL National Metrology InstituteUnscented Kalman Filtering is applied to district heating meter data and GIS-data from a utility network to simultaneously identify temperature offsets in utility meters and service pipe insulation. Implementing estimation of the temperature in the main pipe allows for more accurate results, which also respect physical constraints. Unscented Transformations allow for easier implementation of the algorithm compared to existing solutions, as linearization is avoided. Correcting for potential offsets in the temperature measurement of the utility meter allows for a better estimation of the insulation level of the service pipe, improving the ability for the utilities to pinpoint their efforts in optimizing their renovation activities over several areas of interest.https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_07002.pdf
spellingShingle Østergaard Peter F.
Daugbjerg Thomas S.
Kok Gertjan
Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
EPJ Web of Conferences
title Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
title_full Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
title_fullStr Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
title_full_unstemmed Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
title_short Unscented Kalman Filtering for in-situ Bulk Identification of District Heating Meter Temperature Offsets and Service Pipe Insulation Level Detection
title_sort unscented kalman filtering for in situ bulk identification of district heating meter temperature offsets and service pipe insulation level detection
url https://www.epj-conferences.org/articles/epjconf/pdf/2025/08/epjconf_cim2025_07002.pdf
work_keys_str_mv AT østergaardpeterf unscentedkalmanfilteringforinsitubulkidentificationofdistrictheatingmetertemperatureoffsetsandservicepipeinsulationleveldetection
AT daugbjergthomass unscentedkalmanfilteringforinsitubulkidentificationofdistrictheatingmetertemperatureoffsetsandservicepipeinsulationleveldetection
AT kokgertjan unscentedkalmanfilteringforinsitubulkidentificationofdistrictheatingmetertemperatureoffsetsandservicepipeinsulationleveldetection