EcoStruxure Plant Predictive Energy
EcoStruxure Plant Predictive Energy provides insights on Energy Metrix and leverages AI-based models to detect anomalies and recommend optimal settings to reduce energy consumption.
EcoStruxure Plant Predictive Energy SOLUTION OVERVIEW
EcoStruxure Plant Predictive Energy is a pre-packaged application running on CONNECT data services (AVEVA™ Data Hub).
Based on IIoT, automation, and energy efficiency, the solution monitors energy consumption and provides advanced data analytics. Those analytics can detect consumption anomalies and convert them into actionable insight. It proposes the optimal settings and operating mode across multiple assets and automatically download those new parameters in automation layers.
Energy & environment: Decreases energy consumption by 10% and carbon emissions by 40%
Cost savings: Increases profitability thanks to energy costs savings
Designed to simplify business: End-to-end solution and smooth digital experience from data scientist to facility engineer
Designed to scale: Integration of legacy equipment and scalability to all sites worldwide.
The solution is well suited for a wide range of energy-intensive industries such as semiconductors, manufacturing, food and beverage, and more.
Contact
Thomas Filloque** IIoT Offer Manager** thomas.filloque@se.com
Company Overview
Schneider Electric’s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all.
Region(s)
Global
Industries
Mining and Metals, Oil & Gas, and Power Generation, Semiconductor, Water