With climate neutrality in sight, clean energies are taking on a more prominent role among companies. One of them, wind power, has grown significantly: in 2022 alone, this energy increased by 14% compared to the previous year, being surpassed only by solar. Therefore, once the implementation has been extended, this growth forces us to turn our attention to new horizons:

What are the Next Challenges?

• Produce energy that competes with other cheaper solutions even today (example: fossil fuels).
• Ensure high availability even when weather conditions are adverse and hinder generation.
• Guarantee a service that requires the least technical support (usually, the parks are located in remote places).

High Availability Even when it Seems Impossible

If the intention is to move away from traditional fuels, but these are still cheaper, any failure or stoppage that hinders the production of green energies can mean a point against their generators. In addition, depending on natural sources, the production of renewable energies varies depending on weather conditions (more/less sun, little/too much wind, etc.).

Solutions such as Stratus ztC Edge allow processing and analyzing the data of each generator, without needing a constant connection with the cloud or a data center. They are equipment prepared to be in situ with processing capacity and redundancy, self-protection and self-supervision that drastically reduce downtime and guarantee continuous availability.

It has become clear that Edge technology favors high availability of generators. But how does it also reduce production declines resulting from breakdowns or low yields? If any stopper for energy production is detrimental to companies, the position is clear: we must arrive before the stops. In this case, proper asset management is indispensable.

The software AVEVA Predictive Analytics allows implementing predictive maintenance strategies thanks to Machine Learning and AI. Anticipating problems reduces the probability of suffering more critical failures in production and distribution assets. Operators can proactively schedule maintenance tasks, calculating the most optimal time for these and of less impact for production, and anticipating a critical failure.

Based on the information collected, the IFS Ultimo asset management software allows managing and optimizing the life cycle of assets. Providing greater control, knowledge and useful life of assets, the EAM reduces downtime and improves, therefore, services. In addition, with all the information of the assets centralized in the system, it facilitates the optimization of future investments in assets. More points in favor of the availability of resources that pave the way for producing companies.