Industrial energy management

Energy and utilities companies can use industrial energy management software to achieve operational excellence by integrating their manufacturing and production systems. Using advanced technologies, such as manufacturing execution systems and an industrial Internet of Things (IoT) platform provides data-driven insights and complete lifecycle visibility. 

At the heart of this approach is the connected digital plant. It enables teams to harness the power of data to continuously optimize systems and processes in real time. Furthermore, engineering and operations teams can seamlessly collaborate by connecting performance data with simulation tools to accurately assess and optimize production performance. 

Any company with an existing manufacturing or production facility, such as energy owner-operators and equipment manufacturers, can benefit from the operational excellence approaches we offer. 

Integrating your plant’s production assets through an open, industrial IoT platform lets your business operations staff quickly develop robust applications that turn real-time manufacturing and performance data into actionable insights. Furthermore, engineering and operations teams can be alerted about potential operational issues before they happen while enabling continuous optimization of operations and sustainability initiatives.

Connecting your plants, systems and assets with an open, industrial IoT as-a-service solution enables energy and utilties businesses to take advantage of advanced analytics that turn raw data into actionable insights. By applying real-time performance analysis to predict and diagnose plant problems before they happen, businesses can incorporate predictive maintenance strategies to prevent unplanned downtime in manufacturing and production facilities. 

By using the executable digital twin, energy and utilities companies can connect real-time performance data with accurate, well-orchestrated plant information and performance engineering softwares. Engineers can troubleshoot critical systems, model new concepts and diagnose issues that might lead to instability or plant outages. The self-contained digital twin model can be run on the industrial IoT platform for near-real-time condition monitoring, enabling system performance modeling, troubleshooting issues and performing different ‘what-if’ scenarios.