Using digital twin and machine learning for thermal power plant predictive maintenance and decision support

Feb 21, 2023
W203B, Second Level
The Evolving Power Plant
A decision support system was developed for thermal power plants with combustion engines. Digital twin models allow plant operators to predict trends and operational deviations in an automated and reliable way. The models represent the mechanical, thermal and electrical conditions of each piece of equipment under normal operating conditions. This session highlights the benefits of digital twins, which include reduced corrective maintenance downtimes and O&M costs.
Angelo Cordeiro, Data solution Analyst - Radix Engineering & Software
Flávio Loução, Head of RD&I in the Gas & Energy business unit - Radix Engineering and Software Development
Gabriela Freitas, Data Scientist - Radix Engineering and Software