Simplified Factory Energy Management System based on operational condition estimation by sensor data
This paper describes a visualization technique to analyze causalities among the productivity indices and energy for improving energy efficiency of factory equipment. Recently, energy-saving has been important worldwide. Especially, energy-saving for factories is very important in manufacturing. Meanwhile, productivity indices must be kept in manufacturing process. Thus, we realize the improvement of energy efficiency on factory equipment by adding our visualization technique to conventional Factory Energy Management System. Our visualization technique quantifies the operational condition of equipment by the energy consumption and the equipment behavior. As the result of the visualization in our factory, our proposed technique could successfully improve the energy efficiency on a molding machine, a press machine and compressors without a negative effect to the productivity that means production volume and supply pressure.
Enerize E3 Factory Energy Management System
The Enerize E3 factory energy management system is the first system in the industry to succeed in visualizing the energy key performance indicator (KPI). This makes it possible to standardize energy management and encourage all members in a factory to participate in energy-saving activities. The system is built by modeling energy supplying utility equipment, and energy-consuming and production equipment. This paper reports its development and features.
In order to continually practice energy-saving activities that encourage full participation, indicators that serve as criteria are necessary. Yokogawa defines these indicators as energy key performance indicators (KPIs), and proposes using the KPIs for identifying points where energy can be saved and utilizing them as subsequent management criteria.