Case Study Overview
DNV worked with E.ON in a consortium with other partners to create a Digital Twin that monitors asset health and performance of 110 kV power transformers.
What challenges does it solve?
DNV’s solution:
• The operational data from the transformers is acquired and stored by using DNV’s Veracity cloud platform.
• The data is then visualized on a user-friendly web-based dashboard where the location of the transformers is shown on a map.
• Users can select a transformer and see its asset characteristics as well as relevant timeseries-data. Assessment functions can be added to evaluate failure modes per asset type.
• The resulting digital twin platform can be used to determine the remaining life of the equipment fleet and to prioritize capital replacement targets.
What outcomes have you delivered?
Key benefits:
• Real-time insights about asset condition and performance
• Reduced operational costs and risks
• Smarter asset management through improved decision support
What lessons have you learn that apply to future work?
DNV’s Veracity platform was used to establish a Digital Twin for a subset of 130 transformers owned and operated by E.ON Germany. A data ingest pipeline was built using the Veracity IoT pipeline fetching data from all the transformers and the data was contextualized to a hierarchical structured data model. This enabled firstly visualization of all asset in Veracity Asset Connect and made it possible to share the data with different analytical models, one being Eon’s asset health index algorithm. Veracity was chosen to be the cloud infrastructure according to Eon strict cyber security and data sharing criteria’s. With asset data contextualized and available API’s data can now be shared with external providers to provide more insight to the assets condition.
This solution has allowed E.ON to make the shift from managing assets in a reactive, time-based manner, to a more preventive, predictive and risk-based manner. Digital twins like these, give grid operators a better insight into the condition and performance of critical assets and allow for more real-time decision support. This allows them to reduce operating costs and unplanned maintenance of their assets.