Every year wildfires destroy thousands of homes, cause massive damage to utility infrastructure and lead to billions of dollars in damages around the world. Mitigating threats from wildfires is becoming a matter of both public safety and business continuity for electric utilities.

Achieve real-time control and optimization of growing and increasingly complex energy networks. Improve safety, reliability, maintenance and efficiency of operations, while integrating new green energy sources for a reduced carbon footprint.

Aspen InfoPlus.21 historian database software for industrial plant operations for real-time data collection, analysis & traceability to boost efficiency.

AspenTech's Unified Scheduling product saves hours per day with automated reconciliation and schedule optimization.

AspenTech and AWS: Better Together! Partnering for effortless industrial IoT data migration to Amazon S3 cloud storage.

Empower your utility's future. Discover how advanced digital solutions for control centers are driving the integration of renewables and optimizing grid operations.

Ameren Corporation powers the lives of 2.5 million electric and 900,000 natural gas customers across a 64,000-square-mile service territory in Missouri and Illinois. This Saint Louis-based utility is dedicated to providing reliable and affordable energy, a mission it has successfully met for years.

Process engineers working with specialty chemicals often face the challenge of optimizing production systems—consisting of both batch and continuous processes. However, modeling these mixed processes can be complex and time-consuming. 

Synchronized intelligence is critical to closing the gap between planning and execution. It’s the blueprint that defines successful digital transformation in manufacturing today.

The process industry faces unique and complex transient operational challenges—especially during critical phases like start-up and shut-down. These conditions can introduce significant risks if not properly managed. Moreover, many engineers find it tedious and time-consuming to set up dynamic process simulation models to effectively study these scenarios.