Volatile markets & feedstock challenges can stifle innovation. AspenTech solutions = material innovation & operational optimization to achieve circularity

AspenTech Asset Performance Management solutions help safeguard critical equipment and optimize maintenance for global wastewater treatment companies.

AspenTech solutions enable sustainable energy transition & efficiency in infrastructure engineering, procurement, and construction. Learn more here.

As the refining industry navigates market volatility and evolving ESG compliance, optimizing plant reliability and maintenance is crucial. Leveraging Industrial AI-driven Asset Performance Management (APM) solutions can enhance productivity, reduce costs and improve safety.

Electric utilities are facing unprecedented grid complexity. Aging infrastructure, increasing distributed energy resources (DERs) and rapidly changing load patterns are making it harder to maintain reliable operations using traditional grid models.

Aspen DMC3™ brings a powerful suite of adaptive model predictive control technologies to power generation customers.

The clean energy transition currently reshaping the electric power utility system requires intelligent management of unprecedented amounts of new and changing grid asset data.

The energy sector is undergoing a significant transformation, driven by the global call for more sustainable energy production and the imperative to reduce greenhouse gas emissions.

Learn how S&P Global Commodity Insights—in collaboration with AspenTech and AWS—has introduced an innovative, cloud-powered refining solution designed to enhance decision-making, improve operational efficiency and maximize profitability.

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.