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.

Process engineers are under pressure to optimize production while managing variable feedstock and shifting process conditions.

The webinar features IDC research on industrial data usage.

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.

Safety is a top priority for every process industry operator worldwide. Yet, many engineers still face challenges developing effective safety system designs. Working with multiple disconnected tools often makes it difficult to analyze all scenarios and address design risks, especially when manual data entry introduces errors.

As energy transition efforts accelerate, advanced subsurface monitoring technologies are critical to maximize hydrocarbon recovery and ensure safe, long-term carbon storage.

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.

Aspen Unified Scheduling, production scheduling software for the next generation, brings optimization to scheduling, increasing margins and productivity

AI-powered Advisor within Aspen Unified PIMS · Novel use of Industrial AI provides guidance for easier production planning in refinery LP models.

Saras needed a better way to predict FCC product yields and quality while managing the complexity of variable feedstocks at its Sarroch refinery. Using Aspen HYSYS®, Aspen AI Model Builder™ and Aspen Simulation Workbook™, the team developed an AI-powered hybrid model to improve operational visibility and decision-making.