As the sector specializes, new technologies have become an important ally for the Asset Manager, finding new ways to progress and advance in the complex task of maximizing the portfolio’s return.
This is why the early detection of deviations in the production is now one of the main areas of improvement of the industry, requiring the use of algorithms, automation and Big Data to improve the performance and efficiency of the plants.
However, the identification of these problems must go along with an action plan to increase the plant production and benefits.
Isotrol solves this challenge through Bluence Performance Diagnosis, a solution designed to detect any asset problem in advance, quantify them and identify its root cause. Once this is done, it shows evidences of these performance losses and proposes actions for improvement.
All this applying Big Data Technology, Artificial Intelligence and Machine Learning, which will allow the integration of expert knowledge in algorithms to make the diagnosis faster, proposing actions and recommendations that seek operational excellence.
In this way, we have been able to contrast, through success cases with our customers, that the possibility of knowing the evolution and the impact of each one of the elements involved in the performance of the portfolio allows the user to optimize decision-making and obtain a performance improvement of between 5-10%.
The combination of a wide variety of knowledge of the renewable business with the most advanced techniques for the early detection of performance losses makes Bluence Performance Diagnsosis a unique solution. Prioritizing actions according to their impact on the business becomes the key to maximize portfolio yields.