AspenTech® has introduced a new way to interact with APC controllers to evaluate real-time operating scenarios and provide actionable guidance with a 24x7 virtual advisor. Additional innovations include workflow improvements and synergies to empower users to further optimize APC technology.

In today's complex and ever-changing technological landscape, integration between Information Technology (IT) and Operational Technology (OT) is not just a buzzword; it's a necessity.

Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

For decades, first principle models have been used for process design and optimization in the chemical industry. Recent innovations employ machine learning techniques—enriched with first principle constraints—to create a hybrid model that closely represents real plant behavior. Fast, easy access to industrial AI is helping organizations make accurate decisions to select an optimum design quickly and improve operations, maximizing productivity and minimizing energy usage.

Green hydrogen plays an increasingly important role in meeting decarbonization and energy transition targets. As electrolyzer technology rapidly advances as part of a green hydrogen solution, it’s vital that engineers capture these process enhancements to meet design targets and optimize performance.

Industrial data from a variety of sources and locations has the potential to help organizations meet energy efficiency goals, avoid raw materials/feedstock shortages, decrease downtime, increase profitability and improve ESG reporting. But the chemical industry, like other asset-intensive industries, generates large amounts of data that never gets collected, contextualized and used to its full potential.

The successful execution of engineering projects requires intense collaboration among multi-discipline teams, but manual data handoffs often lead to errors, inconsistencies and delays that can derail a project.

To chemical and polymer manufacturers, achieving site optimization and resiliency to disruptions is key to meeting the world's ever-changing demand. Take a deep dive look into the flywheel effect of how Advanced Process Control (APC) and Scheduling synergies takes manufacturing sites to another level of performance and resilience. Leverage both of these crucial layers together to multiply the benefits of each other.

Watch this webinar on Aspen InfoPlus.21® (IP.21) from AspenTech, exploring the potential of contextualizing historical data to transform your business.

Are you still relying on simplified RAM analysis or even “gut feel” to make critical decisions for your operations? What if you could gain a more holistic view with in-depth insights to help quantify overall project value?