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.

With ever-changing operating conditions—including different feedstock—today’s process plants are challenged to meet growth and sustainability targets as many critical KPIs cannot be measured on a real-time basis. While process simulation models can be deployed online to provide operators real-time visibility to optimize performance, there is a common misconception in the industry that this approach is complicated and difficult.

Discover how a suite of advanced applications enable resiliency and operational excellence for distribution operations.

Global hydrogen demand is forecast to increase dramatically to 2050. Dozens of nations around the world have established hydrogen roadmaps or policies that are fueling the adoption of hydrogen that will help adhere to net-zero policies. To adhere to these policies, a significant amount of capital investment will be needed to satisfy increasing hydrogen demand.

Frequent changes in refinery operating conditions cause planning models to fall out of sync with actual conditions, making them less reliable. At the same time, updating these models is complex, often forcing refineries to turn to expensive third-party consultants.

Operational teams and engineers understand their processes intimately, yet converting that expertise into actionable operational and advanced process control (APC) strategies can be complex. Moreover, a lack of understanding of APC actions often leads to constrained APC controllers, and in some cases, to APC being disabled altogether, resulting in lost benefits.

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

Frequent shifts in market dynamics and operational constraints make refinery decision-making increasingly complex. Traditional methods for refinery cost analysis and margin modeling struggle to keep pace, leading to inefficiencies and missed opportunities.

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. 

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.