The project has received funding from the European Partnership on Metrology, co-financed by European Union Horizon Europe Research and Innovation Programme and from the Participating States.
The Consortium
VSL, the National Metrology Institute of the Netherlands, provides the coordinator for this project and will lead WP4.
VSL will employ its facilities for flow rate measurement, pressure, mass, humidity and composition measurement of energy gases to provide empirical data sets in WP1.
Its expertise in the evaluation of measurement uncertainty, time series analysis and using AI in metrology is used to contribute to WP2- WP4. It coordinated 21GRD05, 16ENG05. VSL is closely connected to standardisation in ISO and has good relationships with OIML.
CMI, the Czech Metrology Institute, has experience in performing regular audits at transfer stations of Czech TSOs and DSOs.
CMI will use its capabilities for providing input to the experimental work in WP1 and provides input to WP4 regarding the uncertainty evaluation in a legal metrology context.
LEI, the Lithuanian Energy Institute, has a proven track record of collaborative research and consultancy work with companies in the gas sector.
It will use its capabilities for the measurement of air/gas flows and the calibration of a range of meters and quantities, including flow rate, volume, pressure, humidity and temperature in WP1.
Additionally, it will use its expertise in mathematical and numerical modelling of fluid dynamics to contribute to WP2 and WP3.
PTB, the National Metrology Institute of Germany with scientific and technical service tasks.
PTB brings in its experience in numerical simulations of gaseous flows and machine learning in flow-related applications.
PTB’s expertise will primarily be used in WP2 and WP3 by developing CFD models. PTB also operates a parallel computer cluster with 64 nodes (1792 processors) which is available to the project work.
DTU, the Technical University of Denmark, is recognised internationally as a leading university in the areas of the technical and the natural sciences.
DTU has participated and participating in research where state-of-the-art, fast spectroscopy-based methods and techniques have been developed and applied.
DTU will contribute to the WP1 with focus on simultaneous dynamical pressure and gas composition measurements in high-pressure gas flows typical for gas nets.
ERIG, the European Research Institute for Gas and Energy Innovation, aims at strengthening the role that gas plays as an energy source for the transition of the European energy system in synergy with intermittent renewable energy production.
ERIG will engage in WP1, WP4 and WP5 to provide stakeholder feedback and help assure impact by communication and dissemination activities.
ERIG will also support the coordinator (VSL) with the project management tasks in WP6.
GERG, The European Gas Research Group, works with the European energy community to develop innovative solutions that ensure gas infrastructure remains at the heart of the energy system and integral in our transition to a sustainable energy future.
GERG has an expertise in coordination, knowledge management, and dissemination for R&D projects. It will lead WP5 (Impact) and will leverage its stakeholder networks to ensure maximum awareness and potential take up of the project outcomes.
NORCE, one of Norway’s largest research institutes, with expertise in e.g., the development of measurement technology, and evaluation and optimisation of measurement systems, particularly for flow measurements.
NORCE will use its competence in the analysis of measurement uncertainty in its activities in WP2 and WP4.
NORCE leads WP2 on time series modelling, as well as Task 4.2, building on software developed by NORCE for Met4H2.
TNO, Dutch research organisation which has R&D department focus on flow assurance & fluid dynamics of gas transport.
TNO led technology programs for cost-effective gas quality sensors and has developed detailed physical gas grid models, which were validated in real gas grids in the Netherlands. Next to physical modelling of gas networks,
TNO has a background and extensive experiences in data-driven machine learning metering, model updating techniques and uncertainties quantifications from oil & gas sectors. TNO will lead WP3.
UL, the University of Ljubljana, includes a metrology research group at the Faculty of Mechanical Engineering at the University of Ljubljana, whose central fields of research are fluid flow metrology and measurement dynamics.
UL with support of national TSO will provide the gas network data sets in WP1.
UL will also contribute to the statistical and analytical analysis of time-series uncertainty correlations in WP2 and will participate in software implementation and validation in WP4