SE²OPTIMIZER: AI-based
on site plant optimization

Actually, plant optimization is a simple matter. With surpluses additional revenues can be achieved in times of high electricity prices with energy marketing and lower consumption costs can be achieved in times of favorable electricity prices. Actually. But when is the right time for which of the two actions? When can the plants do this without neglecting the actual tasks? And how do you adapt the timetable to it with foresight?

The keyword is: decentralized intelligent plant optimization
The solution: SE²OPTIMIZER

With the SE²OPTIMIZER, a demand-side management solution is available for more efficient adaptation of the plant operating mode. It independently regulates this process and makes available existing storage elements as flexibilities for individual energy production and production plants. Our intelligent asset optimizers are installed on-site at the plant, locally setting the target timetables against predicted market prices, and can be connected to virtually any trading platform for subsequent marketing. All critical plant operating data remain in your company due to the local optimization - promised!

You want to bundle several plants and control them flexibly? Then our control system for virtual power plants will be used as a higher-level control. The SE²DIRECTOR act as a communication interface fine-tuning of all systems and provides a secure gateway to direct marketers.

Advantages SE²OPTIMIZER

  • Energy cost savings of up to 25% per year
  • Sensitive system values and data remain in the company
  • Full control remains with the system operator at all times

 

  

 

  • Cost and revenue optimization during ongoing operation
  • Shift purchase and feed-in to lucrative times
  • Higher revenues due to trading on the electricity exchange

AI flexibility every day

In addition to the usual energy cost factors, the energy optimization strategies supported by the system also take into account the system costs, personnel and warehouse costs, as well as electricity purchase limits. The total overall cost optimization of up to 25% is then achieved by shifting the flexibly deployable electricity consumers and producers into more economical periods.

Not only do the operational data remain within the company, but the operator also determines the degree of automation at all times. Changing the flexible operating times of the systems and accepting, rejecting, or individually adapting the suggested optimized system schedules is possible at any time.

Energy supplier and producer

Network operators and energy suppliers rely heavily on flexible storage options, load management and power reserves in order to balance the power grid. Targeted driving contributes to balancing power consumption and generation. Especially in the heat supply, it is possible to combine power-consuming units with generators to form a virtual power storage. Objects with year-round heating requirements, such as indoor swimming pools or heating plants in the local or district heating supply, are particularly suitable.

Industrial and commercial plants

This flexibility is also continued within the integration of the plant types. Whether thermal processes (heating systems, furnaces, etc.), mechanical processes with storage (mills, injection molding machines, etc.) or process engineering (chemical conversion processes, fermentation plants, etc.) – we can use numerous interfaces (I/O, Modbus, Profibus, etc.) for plant control, depending on the desired degree of automation. Many systems, even existing ones, can be flexibly used with little effort and can be easily used for energy cost efficiency.

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