To design an energy storage solution that is as efficient as possible and pays for itself quickly, the first and most important step is to accurately collect data on the facility. The main starting point for our engineers is the company’s historical electricity consumption graph. Ideally, data should be provided at 15-minute intervals for the past 12 months and can be downloaded from the distribution network operator’s self-service portal.
Why is a 15-minute interval specifically required? This level of data detail allows us to see the facility’s true “rhythm of life”: when electricity consumption is highest, at what times of day power spikes occur, and how weekdays, weekends, and seasons differ. A monthly electricity bill does not reflect these fluctuations, yet they often determine the capacity, power, and control logic required for a BESS system.
At the same time, it is necessary to assess the existing connection capacity, the applicable tariff plan, power demand, and planned changes in consumption. If a solar power plant is already in operation or planned for the site, its technical parameters are also important: power output, generation profile, surplus energy, and connection conditions. This information helps determine whether the storage system will be used solely to take advantage of electricity price fluctuations or also to store energy from the solar power plant.
The nature of the company’s operations is no less important. Manufacturing, storage, refrigeration, charging, or other energy-intensive processes may have different load patterns. Therefore, it is assessed based on the facility's peak power requirements, whether there are short-term spikes, whether backup power is important, and whether business expansion is planned.
This data later forms the basis for the technical solution, design, and the entire BESS implementation process, and is therefore directly related to how the BESS project is implemented.
With such detailed information, engineers can simulate system performance and select the most cost-effective capacity, power, and control algorithms for a specific facility, thereby accelerating the payback period for industrial energy storage systems.