This video demonstrates how to define a bio-feed or co-feed stream for use with any molecule-based reactor model in Aspen HYSYS. Molecule-Based (MB) Modeling is a cutting-edge technology in Aspen HYSYS that enables precise characterization and processing of both conventional and unconventional refining feedstocks, including bio-feeds and co-feeds.

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.

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.

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. 

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.

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.

View this webinar replay to learn about AspenTech OSI OutPlan, an integrated solution for transmission and distribution equipment outages and switch order management.

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

Fermentation modeling is essential for advancing sustainability initiatives such as biomass feedstocks and Sustainable Aviation Fuel (SAF); however, accurately simulating biological processes and scaling production can be complex.