Jumpstart your sustainability goals by adapting our sample Aspen HYSYS sustainability models to the applications you're building.

Combine machine learning and advanced sequence optimization algorithims to build the plant of the future.

Optimize and innovate across water conservation, CO2 as feedstock and other sustainability pathways to further drive progress on key metrics.

Achieve real-time control and optimization of growing and increasingly complex energy networks. Improve safety, reliability, maintenance and efficiency of operations, while integrating new green energy sources for a reduced carbon footprint.

Three ways to advance greenhouse reduction goals with AURA

This Business Reporter article, featuring Heiko Claussen, AspenTech SVP & Co-Chief Technology Officer, explores how asset-intensive industries can deploy artificial intelligence (AI) strategically to strengthen both efficiency and sustainability.

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

To drive its condensate maximization initiative, ADNOC is using AspenTech® solutions to develop a process simulation digital twin using a hybrid model.

Hear leaders from Tennet (based in the Netherlands) and California's SMUD talk about how AspenTech DGM solutions are helping them reach their goals and provide reliability to their customers.

It’s often described as the largest machine in the world, but even that doesn’t do justice to just how complex the electric grid really is.