Energetica India Magazine October-November 2021

RENEWABLE POWER 15 energetica INDIA- Oct-Nov_2021 Machine learning models and KPIs de- tect early deviations from the underlying trends. Identifying underperformance Using the digital twin created for the specific assets of the client, a compre - hensive performance analysis was car- ried out. This analysis detected that one of the wind farms in the portfolio was not performing as expected. The sys- tem identified the root causes of this un - derperformance and the client was able to take action. That’s how this works: a problem emerges, the client can con- centrate their O&M efforts only on the affected wind turbines. Enhancing security Applied data science not only provides performance improvements. Security enhancements for aging assets is also a key value driver. For instance, the cli- ent was able to spot abnormal thermal behavior in a subset of the transform- ers. This insight allowed the client to launch an O&M campaign to correct the issue before it escalated. Curtailment losses In another example, the curtailment losses associated to a specific solar plant were calculated in fine detail and economic savings were achieved by means of joints work with the transmis- sion system operator (TSO). Overall, the deployment of the Central SCADA improved the internal process- es and decision making for managing all the client’s assets. As a result, in the first year follow - ing the implementation of improve- ments, the client generated estimat- ed savings of over $500,000. The use of digital twins and advanced analytics enables all users, from op- erators and O&M technicians to per- formance and reliability analysts and managers, to have the right tools and the necessary information to meet their specific needs within one central plat - form. Information is available for each user type without division into difficult to access silos. Within our Smart SCADA platform, we can optimise a suite of specific tools for each stakeholder. The overall deci- sion-making process improves, begin- ning with real-time operators, field tech - nicians and ending with skilled O&M analysts and managers. In the case study presented, we believe that INGESYSTM Smart SCADA was a key factor in the digital transformation of our customer’s asset management. Machine Learning Dashboard