AspenTech provides 160+ sustainability sample models and supporting documentation to start reducing your carbon footprint while improving your bottom line.

Wildfires are no longer just a seasonal threat — they’re a year-round crisis reshaping the way utilities must plan and operate.

Advanced Process Control (APC) continues to evolve, and AspenTech’s nonlinear APC capabilities are redefining what’s possible.

Frequent changes in refinery operating conditions cause planning models to fall out of sync with actual conditions, making them less reliable. At the same time, updating these models is complex, often forcing refineries to turn to expensive third-party consultants.

Maximizing energy efficiency and minimizing CO2 emissions remain critical goals for the process industries. Now you can leverage pinch technology from within the process simulation environment to identify opportunities to significantly lower energy use and reduce your carbon footprint.

Oil refineries are complex operations with tight margins, constantly adapting to changing crude types and product demands. Rigorous process simulation software like Aspen HYSYS® provides vital insights to manage these challenges effectively.

Gainesville Regional Utilities (GRU) is a multi-service utility owned by the City of Gainesville, Florida. As the state’s fifth largest municipal electric utility, GRU provides electric, water, wastewater and telecommunications services to approximately 93,000 retail and wholesale customers in Gainesville and surrounding areas.

Physical property models are the foundation of all process simulations, directly influencing equipment sizing, energy requirements, and capital cost estimates.

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.

Process engineers are under pressure to optimize production while managing variable feedstock and shifting process conditions.