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Now more than ever, refineries are looking for ways to improve production performance and meet sustainability goals. In this on-demand webinar, experts from BPCL Kochi Refinery share their experience—and best practices—in deploying real-time, Aspen HYSYS®-based digital twins for CDU, Delayed Coker and Hydrocracker units.

With mounting pressure to reduce carbon emissions—and still meet critical production targets—today’s energy and chemical companies are challenged to stay on top of changing operating conditions and respond in a timely, efficient and coordinated manner.

Distributed Energy Resource Management Systems (DERMS) are quickly gaining adoption as an indispensable tool for managing the large influx of distributed energy resources (DERs). The ability to optimize and orchestrate huge numbers of DERs is essential to integrate large amounts of intermittent renewable generation while also ensuring grid reliability.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Aspen Mtell® combines the power of data and technology to enable reliability and maintenance engineers to monitor the performance of assets, providing real-time visibility into asset health and actionable insights for faster decision-making. Discover why companies like LG Chem, Evolution Mining, OCP Ecuador and others have opted for AspenTech´s prescriptive maintenance solution to improve their operational efficiency and achieve carbon mitigation and sustainability goals.

As refineries continue to look for new ways to gain efficiency and increase margins, we bring you Aspen Unified™ – a breakthrough solution to unite, streamline and simplify planning and scheduling.

In this short video featuring Antonio Pietri, CEO Aspen Technology, discusses how the self-optimizing plant will be a self-learning, self-adapting, and self-sustaining operation.

In this short video featuring Antonio Pietri, CEO Aspen Technology, explains how the last 40 years have been foundational to the success of industrial AI. In order to accelerate your digital transformation, assets need to run safer, greener, longer and faster.

With Recipe-based modeling, chemists and engineers can work together to develop new processes faster, remove equipment and schedule limitations, and transfer technology smoothly between sites and departments.  With Aspen Batch Process Developer use recipe-based modeling solutions to develop your batch process from lab to plant using models that grow with the scale of your batch process.  Watch now to learn more.

This video is from the ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations Workshop presented by Chris Williams, Director, Customer Success, Aspen Technology, Inc.