Industrial Data-driven Plant Optimization Modeling

In recent years, the importance of EnMS (Energy Management System) that can monitor the balance of supply and demand of energy, and can efficiently operate plant, is increasing. In order to improve the plant operation by appropriate introduction of EnMS, customers want precise pre-diagnostic. In order to calculate the improvement potential precisely, it is effective to optimization using a plant simulating model. However, since the advanced technical knowledge of equipment is required for the construction of the plant model, it is a problem to increase modeling man-hours. Therefore, we have developed Data Driven Plant Optimization Modeling that can automatically create equipment models from operating data. The greatest feature of this technology is that it can extract exhaustively equipment characteristic equations even if any operating data are assigned. This new modeling technology is able to reduce more than 80% of the conventional modeling man-hours and create high precision model for certain plant.