Frustrated designing your column or understanding how process changes will affect your distillation unit operations? Many non-ideal distillation systems cannot be modeled accurately with equilibrium-based modeling. Rate-based modeling provides a more rigorous modeling approach for complex systems. Once tuned, rate-based models can yield better predictions at extrapolated operation conditions.

Digital technologies offer significant opportunity for improved quality and cost savings across the chemicals industry by enabling more efficient design, operation, and maintenance of assets throughout their lifecycle. However, many chemical companies are still in the early stages of understanding how such opportunities can be applied effectively to their business. This article highlights how top companies are using data to drive business and operational decisions, and are progressing with their own transformation to the next level of performance and operational excellence.

AspenTech recently delivered the company’s first two-day certification preparation training on Aspen HYSYS and awarded user certifications.

Realistically, isn’t the IIoT platform today’s incarnation of the data warehouse? Be wary of taking on an IIoT project without a clear business need.

Leverage new technology to develop optimal heat exchanger cleaning schedules that save money and maximize throughput.

Discussion over Days 2 and 3 focused on how cross-functional coordination can yield the best results when it comes to digital transformation.

Using simplified RAM analysis tools can cause huge margins of error! With the right technology, you can minimize risk and make more profitable decisions.

Watch this video to learn how you can better monitor your heat exchanger fouling levels using AspenTech solution.

Find out about the margin improvement opportunities European refining and chemical leaders were exploring at our recent seminar in Amsterdam.

AspenTech to Attend ARC Industry Forum 2019