2019 - OSIsoft PI World - Gothenburg - PI System Introduction
Condition Monitoring: Enabling efficient Maintenance (Statkraft)
During 2017 Statkraft decided to implement an OSIsoft PI System Solution as a Common Data Platform (CDP) for collecting and storing data from our wind and hydro assets. This have enabled us to move on to data-driven projects, one of them being the Hydro Dashboard Project (Condition Monitoring: Enabling efficient Maintenance) Main presenter: Camilla Feurst, Statkraft (Responsible for Digitalization HydroPower) As a leading company in hydropower internationally and Europe s largest generator of renewable energy, we think many will benefit from taking part in our experiences from this project.
Company
Statkraft
Speaker
Camilla Feurst
Camilla Feurst Responsible for digitalization hydropower in Statkraft Camilla Feurst has been a risk analyst in Statkraft since late 2012 with the objective to investigate economic risks in the physical assets, mostly hydropower, to optimize reinvestments. When assessing risk, predictive analytics is an essential part and as of 2017 Camilla became the main responsible for developing and implementing predictive maintenance in hydropower assets. She is now the main responsible for digitalization of hydropower at Statkraft and holds the main lead of an advanced analytics team aiming to improve predictive maintenance through applied data science in assets. Camilla has a master s degree in Energy Systems Engineering and has during her career combined strategic analysis with hands on experience. Managed projects, primarily related to transformation but always kept a strong connection to the power plants, visiting the plants and also performing risk assessments on site.
Company
Amitec AS
Speaker
Øystein Rindal
Øystein Rindal holds a Bachelors Degree from NTNU in Computer Engineering. He first joined IBM working on Cloud Solutions and later joined Amitec in 2019. Øystein has been the main technical PI System Engineer supporting the Statkraft projects, both regarding the HydroPower Dashboards and the Wind Asset Model.
Session Code
UC19EU-D2PG06