Maximizing the consumption of self-generated power
Predictive plant control systems help maximize consumption of self-generated power and reduce costs for power obtained from the grid.
How companies benefit from maximizing the consumption of self-generated power
In terms of their load profile, industrial companies and their production facilities are ideal candidates – as are office and business complexes – for a tool that maximizes the consumption of self-generated power.
Our solution: Balancing Energy Network
As a rule, conventional energy management solutions are used to aggregate and display energy-related data, which is then analyzed manually. By contrast, the Balancing Energy Network is an intelligent energy management system that uses artificial intelligence (AI) not only to analyze energy flows but also to control production machinery and distributed energy resources on the basis of dependable generation and load forecasts.
The Balancing Energy Network solution enables companies to plan production in line with the availability of green energy while continuing to focus on their business targets. Given the existing flexibilities in energy generation, some consumption can be deferred to periods when self-generated, green energy is available in sufficient or surplus quantities. This solution also factors in information such as meteorological data and shift plans in order to draw up enhanced schedules. In addition, load forecasts help establish a production facility’s future energy requirements and thereby create optimal conditions for the purchase of electricity.
Alongside reducing the cost of power drawn from the grid, the Balancing Energy Network also helps reduce the CO2 emissions generated by production companies. By connecting the solution to a heating supply or charging infrastructure for electric vehicles, companies can improve their energy efficiency even further.