Predictive Energy (Industry)
Without energy, production stops. Electricity, heat, compressed air, … are important for production processes. For energy intensive industries like steel or aluminum production, energy costs are ca. 25% of entire production costs. Thus, it is obvious that saving energy costs is mandatory. However, how can energy saving solutions reduce costs without having negative effects on your production processes and product quality?
Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of energy optimization:
- Predicts highly dynamic energy demands and energy generations.
- Analyzes machinery behavior and gives transparency which influences have negative effects on energy demand.
- Gives recommendations for machinery operator how to produce the same product volume and quality with less energy. Or automatic control is done directly, machine-to-machine.
- Gives recommendations for plant operator to achieve optimal power flow.
- Gives recommendations for energy trading, which products should be sold in which volume and price at energy trade.
PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine behavior (i.e. changed production or machinery utilization).
Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:
Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading
Energy Peak Cutting
Energy Demand Analysis
EVO: Machinery Control / Simulation
Heat Recovery saves 25 % of Energy
Reduction of Energy Resources in Casting
Predictive Energy Flow