Designing a distillation column requires balancing thermodynamics, hydraulics, internals, energy use and cost—often with limited information early in a project. Decisions made at this stage play a critical role in shaping capital investment, efficiency and long-term operability.

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.

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

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.

As grid complexity accelerates with DERs, renewables and bidirectional power flows, utilities like Ameren and TenneT are turning to standards-based network model management to replace manual, siloed processes with a single, continuously updated source of truth for grid data.

In complex, integrated and dynamic industrial systems, decisions made during design, operations & maintenance and supply chain planning can significantly impact business performance.

The world’s power grids must keep pace and expand rapidly.

AspenTech’s Digital Grid Management team and Portland General Electric (PGE) have partnered since 2006 to ensure reliable, safe and advanced real-time operations of PGE’s electric grid serving over 1.9 million people with over 21 MW-hours generated and delivered across 1,250 miles of transmission line and 28,800 miles of distribution line.

We are committed to operating in the most responsible way possible — and enabling our customers to do the same.

Generate cost estimates for small capital and maintenance projects.