Alfonso Lacerda
Leading Asset Management Innovation Evora IT Solutions
”Stability and competitiveness hinge not only on knowing what is happening in real time, but also on anticipating what comes next.
In today’s energy landscape, where digitalisation and artificial intelligence are rapidly reshaping industries, ignoring these solutions means falling behind. Power generation, such as biomass plants, cannot afford that risk, where critical assets must run safely and efficiently at all times. Reliability here is not only an operational concern: it is vital to avoid unnecessary emissions, ensure processes run with maximum efficiency, and protect grid stability. In a sector where sustainability and resilience must go hand in hand, these factors are decisive.
At Greenvolt, the journey with Evora IT Solutions demonstrates how innovation can transform biomass plants into smarter, more resilient operations. Stability and competitiveness hinge not only on knowing what is happening in real time, but also on anticipating what comes next. Combining monitoring and prediction provides that dual capability: immediate situational awareness and foresight to prevent issues before they escalate.
A key aspect of this programme is its architecture. End-to-end monitoring and predictive capabilities are being delivered entirely within a single SAP ecosystem, which is a pioneering approach in the sector. From data ingestion to AI training, inference and automated response, everything happens in one environment. This closed-loop approach enhances robustness, ensures consistent governance, and eliminates the inefficiencies of moving data between external platforms. Because data never leaves the SAP ecosystem, computational overhead is optimised, and scaling to new plants becomes straightforward and efficient.
Prediction adds a powerful layer of value when built on top of solid monitoring. Rather than relying on generic algorithms, the models are fine-tuned to the behaviour of each critical asset, by choosing the most suitable model for each case. This tailored approach improves accuracy and provides operators with actionable insights. A monitoring centre with prediction gives plant teams a clear view of equipment health, early warnings of potential anomalies, and even recommended actions, whether to adjust parameters, plan maintenance, or optimise performance.
The impact is significant. Predictive insights enable earlier detection of issues that could otherwise cause unplanned downtime, reducing costly outages. Asset health forecasts help schedule interventions during low-demand periods, while recommendations derived from real-time data improve efficiency and extend equipment life. In short, combining monitoring with predictive intelligence strengthens both reliability and flexibility.
A crucial factor for the success of the project is close cooperation with Greenvolt’s experts to understand the nature and behaviour of each asset and indicator. This collaboration ensures that value can be extracted not only from the data itself but also from the results, enabling reliable conclusions with real and validated impact. Their operational knowledge ensures that systems are not generic, but precisely adapted to the needs of each plant. Together, the teams are building a monitoring and prediction centre that is not just a tool, but a repeatable blueprint for smarter and more resilient biomass operations.
Stay tuned as we continue powering a greener, safer, and more inclusive future.
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