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.

AspenTech provides over 160 easy-to-use application models that you can adapt to your own initiatives, along with the supporting documentation to help you get started. Models cover areas such as bio-based feedstocks, carbon capture, emissions management, hydrogen economy, materials circularity and more.

Ron Beck discusses the promising future of Green Hydrogen and Carbon Capture solutions

This video showcases the streamlined workflow enabled by AspenTech Concurrent Engineering applied to a carbon capture project. The workflow enables the creation of state-of-the-art process simulation, equipment design, economic analysis, conceptual 3D layout generation, reliability analysis for equipment redundancy and data centric FEED deliverables. Through this demonstration, you will learn how to benefit from seamless data sharing across disciplines, increasing efficiency, minimizing estimation uncertainties and ensuring consistency in deliverables during project execution.

Leading chemical companies across the globe face more competitive pressures with volatile market conditions and a rapidly changing workforce pushing the demand for increased sustainability and profitability. Digital twin software offers new levels of operational excellence through enterprise-wide insights that drive improved business operations.

Enter the era of autonomy and take the first steps to the self-optimizing plant – a self-learning, self-adapting and self-sustaining operation driven by industrial AI that will start your industrial metaverse journey and help you thrive in any market condition. Watch this video to learn how you can start realizing this vision today.

Start your journey to the self-optimizing plant and view this interactive e-book that highlights how your assets can be safer, more reliable, more flexible and more profitable with the help of Industrial AI.

AspenTech DataWorks is purpose-built to be the global leader in industrial data management.

Petro Rabigh wanted to improve margins for refinery products, to do so, they needed to identify the most optimal production yields and qualities of their refinery and petrochemical products.

To support our customers in this journey to meet the dual challenge, we are pleased to make many of AspenTech’s industry-leading asset optimization solutions available for deployment in the Azure environment.