Process safety remains a top priority for companies worldwide, but balancing CAPEX against the need to design safety systems for multiple emergencies can be challenging. Aspen HYSYS Dynamics™ and Aspen Flare System Analyzer™ are proven to accurately model flare systems while reducing CAPEX.

Advanced simulation tools are key to overcoming the challenges of the green hydrogen economy. Process engineers who leverage Aspen Plus® simulation software can optimize hydrogen production processes, boost efficiency and reduce costs.

Advanced simulation tools are key to overcoming the challenges of the green hydrogen economy. Process engineers who leverage Aspen Plus® simulation software can optimize hydrogen production processes, boost efficiency and reduce costs.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Process safety remains a priority for companies, but balancing the design of safety systems to withstand risks against higher CAPEX costs is challenging. Accurate, efficient modeling of depressurization is key, especially in carbon-capture processes.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

Optimizing chemical processes requires input from multiple disciplines – engineering, costing, safety and environmental. Evaluating these factors early in the design lifecycle significantly improves the quality of the design and reduces time spent collaborating across teams.

Process industries, especially refineries, must continually adapt to operational changes driven by variations in feedstock, product demands, and other factors. Moreover, many critical KPIs cannot be directly measured in real-time within an operating plant.

Developing automated 3D models during pre-FEED and FEED can drive down material costs, enhance asset visualization and help identify an optimal design early, minimizing revisions in later engineering phases.