Introduction
Multi-Factor Energy Optimization Control offers added value to your energy management solution through the following features: - Energy forecasting: displaying short-term and long-term energy consumption trends to help decision-makers manage the risk of overloading and reduce costs accordingly. - Machine operation parameter optimization: comprehensively considering complex indices and possibilities to provide the best-fit solutions that target both productivity and energy-saving potential. This allows managers to efficiently settle on a strategy that balances both concerns.
Features
- 01
Energy forecasting
Infer the short-term and long-term energy consumption based on collected real-time electrical and operational data.
- 02
Chiller energy optimization
Evaluate feasible settings for operational parameters and machine numbers to generate a multi-objective optimization strategy. This strategy can maximize energy efficiency by manipulating the icing water temperature, for example.
Demonstration
Energy forecasting
This feature visualizes the real-time energy consumption trend, highlighting possible peak values and their times.
Machine operation parameter optimization
This feature visualizes both the target status and energy-consuming trends. It emphasizes suggested operation parameters based on the AI module.