The analysis of data collected by the EVEMS takes place in real time. It involves processing this information, comparing it with predefined parameters, and determining whether regulatory actions are necessary to keep energy consumption within established limits.

 This analysis can be performed in two main ways:

  • Locally: The analysis is performed directly by the EVEMS installed on site.
  • Remotely (in the Cloud): Data is sent to remote servers for analysis.

The mode (or location) in which the analysis is performed is an important criterion when choosing an EVEMS, as it can influence the available features and operating costs of the system.

As for the type of analysis, it can be:

  • Critical: The top priority of critical analysis is to ensure the safety of the electrical infrastructure. It aims to prevent any capacity overloads by responding quickly to situations that could pose a risk.
  • Optimization: More advanced, optimization analysis aims to improve the overall efficiency of the system. It can include sophisticated features such as adjusting charging based on electricity rates (to charge when electricity is cheaper), responding to signals from the power grid (e.g., to reduce demand during peak periods), or adapting to specific user charging habits.

In short, effective analysis is essential for the EVEMS to optimize the use of available energy, ensure the safety of the installation, and potentially generate savings for the building.

Interpreting data is essential, but the ultimate goal is to modulate charging stations power supply to prevent overloads. Read on in our next article to find out how the EVEMS control function translates analysis into concrete and safe actions.