In January, we welcomed back Jim Holt as Head of Sales and Business Development. Jim brings with him over 20 years’ experience in flow measurement including a period at TÜV SÜD National Engineering Laboratory as Head of Oil, Gas and Renewables.
In the first of a three-part series, Dr Martin Hanton discusses the major sustainability and net zero challenges that organisations need to start addressing towards decarbonisation and sustainability. The UK’s Climate Change Committee acknowledges that this is a difficult issue with no single solution or technology that will achieve net zero across all sectors. With lots of different sectors to decarbonise, we know that we need to use all the tools in the box to reach net zero.
TÜV SÜD has rapidly adapted the services offered to support business and industry on their journey to net zero, by assessing the quality, safety and efficiency of energy infrastructure and systems across all technologies, including batteries, hydrogen, wind and nuclear. Whatever your organisation’s advisory testing and certification needs, we can help you on your net zero journey.
No measurement is ever completely exact; there is always a degree of doubt about its accuracy. This degree of doubt is quantified by the uncertainty. The effects of measurement uncertainty manifest themselves across all industrial sectors, resulting in significant financial exposure. In the field of flow measurement, measurement uncertainty is particularly important when the fluid being metered is of high value where small errors in flow measurement could potentially cost the operator large amounts of money.
Each month, we share our expertise related to a specific flow measurement theme. This month, our Flow Focus is on Digital Services.
An interview with Data Scientist, Dr Behzad Nobakht
The webinar gives a general overview of condition-based calibration and the potential advantages of implementing such a system within large scale engineering process facilities.
This webinar, presented by data scientist Dr Behzad Nobakht, presents a high-level overview of simple but key concepts in time-series modelling of industrial processes with the aim of maximising model performance and generalisability.
Using Our Flow Laboratories, we have conducted experimentation on multiple USMs, and through data driven modelling techniques, our Digital Services team were able to identify hidden correlations between the various digital process values and were able to build a tool which can identify specific fault conditions and alert end-users via simple graphical interfaces.
By Implementing a Condition-Based Calibration (CBC) schedule, end-users, in theory, have the ability to reduce costs through a more dynamic operating pattern. However, in reality the performance of a given meter will vary between manufacturers, as will the availability and relevance of the digital ‘diagnostic’ data. A data-driven model was developed, capable of alerting an end-user to the fact that not only was there a measurement error but identify the cause of said error.
Anomaly Detection in Multisensory Systems // 23 March // Webinar
For more information about our range of training courses visit: www.tuvsud.com/en-gb/academy