SCOPE
Hydrogen storage and distribution
Maturity Level
TRL 5-7
Development Level
Pilot plant
Protection Level
Industrial protection
Virtual sensors
Entity:
Use of data analysis and machine learning techniques to indirectly obtain a magnitude from measurements obtained from other related magnitudes or that contain errors or data gaps.
In the case of H2, they can be applied to predict H2 flow rates, composition, purity, temperature or pressure as a function of input variables such as raw material characteristics, process conditions and energy inputs. They can also be used to estimate the status and performance of H2 storage systems. For fuel cells, virtual sensors can estimate the performance and health of fuel cell systems, predict parameters such as the H2 consumption rate, cell voltage, temperature, humidity or power output as a function of inputs such as H2 flow rate, air supply, operating conditions and cell characteristics.
Challenges met
- Increases process visibility with new variables
- Reduces investments in expensive measuring equipment
Scope of application
H2 generation, distribution and use: Process monitoring, alarm generation and decision support.
Main publications
- Virtual Sensors for Smart Data Generation and Processing in AI-Driven Industrial Applications. DOI: 10.5772/intechopen.106988
Related projects
- PORTS4ALL – Environmental and marine enhancement through the combination of smart systems and ecosystem regeneration.
Other related technologies
