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Me Analytics
You don’t just want to install charging solutions. You want to install the proper charging solutions. However, making the right choice is not easy because there is a lack of information available on the topic. With ME Analytics, you can model your parking lots and dynamically simulate the performance of a given charging solution.
Implementing an electrification strategy is more complex than it sounds, and for good reason: the market is still in its early stages, consumers’ needs vary, and no days in your parking lot are alike. Moreover, the costs to be incurred are important! Many parameters are fundamental and can make your investment a success or a complete failure.
- Have you been considering the right factors?
- How many electric cars?
- What percentage of EV and PHEV?
- How much energy to deliver?
- What parking time?
- What arrival and departure times?
- What car models?
- Slow, normal, or fast charging?
- How much power available on the grid?
- Based on data from your parking lot
- Key phenomena related to charging
- A model that can be improved over time, especially with the service data collected by ME Charge and ME Sight apps
- Sketch the evolution of the number of electric vehicles over several years
- In each scenario, test the solutions of your choice and the deployment rounds
- Run the simulation: cars arrive, charge, leave…
- 4 analysis sections to understand the subject in its entirety
- Zoom out: visualize the global indicators over several years
- Zoom in: observe key phenomena
- Compare the scenarios and identify the one that best suits you
Each parking lot is a unique project. And each project requires several study scenarios. You can, via a secure online platform, access each project and the associated simulations.
- Online visualization of simulation results
- Dynamic and practical filters to zoom in on certain phenomena
- Modular indicators adapted to the needs of your study
- Model available for life: possibility to play new simulations or to make the model evolve by field data