Frequent shifts in market dynamics and operational constraints make refinery decision-making increasingly complex. Traditional methods for refinery cost analysis and margin modeling struggle to keep pace, leading to inefficiencies and missed opportunities.

Microgrids are a hot topic for energy-intensive companies—and for good reason. Industrial assets from refineries and data centers to critical infrastructure must run continuously to meet not only production targets but also net-zero goals.

View this webinar replay to learn about AspenTech OSI OutPlan, an integrated solution for transmission and distribution equipment outages and switch order management.

The process industry faces unique and complex transient operational challenges—especially during critical phases like start-up and shut-down.

Fermentation modeling is essential for advancing sustainability initiatives such as biomass feedstocks and Sustainable Aviation Fuel (SAF); however, accurately simulating biological processes and scaling production can be complex.

Watch experts from Carbon Circle, an EPC specialist in carbon removal and energy transition solutions, and hear how they are improving the economics, execution and scale-up of their projects—including energy-from-waste (EfW) with integrated CCS.

Discover how the AspenTech Microgrid Management System (MMS) empowers commercial and industrial facilities, microgrid integrators and partners to optimize energy operations, reduce costs and enhance resilience.

Urea fertilizer plays a crucial role in maintaining global food security, and its utilization is growing globally. The production of urea is often energy intensive and can be difficult to simulate due to the complex nature of physical properties.

Watch this webinar to see how to transform customer experience with customer-facing solutions based on model-driven network data with AspenTech Grid Apps.

3D reservoir models combined with reservoir engineering solutions increase understanding of reservoir flow performance. The solutions integrate multiple data types, capture and propagate uncertainties, and preserve data and geologic integrity throughout the workflow.