Shell recently completed a pilot evaluation of Aspen Unified Planning™ (AUP) and Aspen Unified Scheduling™ (AUS) at the Pernis and Moerdijk manufacturing complexes. The objective of the project was to simplify and streamline the deployment of newer software versions to enhance the efficiency and usability of its planning and scheduling tools.

Selecting the right control and optimization solution is essential for maximizing performance in industrial processes.

The process industry faces unique and complex transient operational challenges—especially during critical phases like start-up and shut-down.

Microgrids are a hot topic for energy-intensive companies—and for good reason. Industrial assets from refineries and data centers to critical infrastructure must run continuously to meet not only production targets but also net-zero goals.

Optimizing production for industries with complex processes requires precise models. However, models can be challenging to create when processes include custom equipment, not available in standard model libraries.

The latest features in Aspen GDOT™ V15 offer a new flexible online optimization approach that caters to a wide range of applications, including broad production envelopes, high-value reactors and small-scale column applications.

Jamaica Public Service Company (JPS) navigated the devastating impact of Category 5 Hurricane Melissa, the strongest hurricane on record in the Atlantic, with AspenTech Digital Grid Management (DGM).

Get an in-depth look at Cameron LNG’s successful deployment of Aspen DMC3™ Advanced Process Control (APC) across its three LNG trains and fuel gas system—now available on demand.

Urea fertilizer plays a crucial role in maintaining global food security, and its utilization is growing globally. The production of urea is often energy intensive and can be difficult to simulate due to the complex nature of physical properties.

3D models are proven to provide clear visualization and better accuracy for engineering projects. Now with mounting pressure to stay ahead of the energy transition, companies must identify design flaws even earlier and minimize costly revisions to ensure faster delivery during the conceptual phase.