Discover how Ameren is accelerating its Grid of the Future strategy by transforming how it manages electrical network data. As manual, time-intensive data transfers between GIS and ADMS became more complex, the utility identified an opportunity to enhance how it maintains accurate, up-to-date models for advanced grid operations.

HPCL’s Mumbai Refinery faced a major issue with product quality giveaways, as assessing product quality was both challenging and time-consuming.

Download this case study to learn how BPCL developed and deployed an online CDU simulation model using Aspen HYSYS®, enabling:

Motiva sought to reduce product giveaway while increasing yields and maintaining consistent product quality across refinery operations.

Phillips 66 needed a better way to reduce monomer losses, optimize equipment performance and strengthen process safety at its polypropylene plant.

Saras needed a better way to predict FCC product yields and quality while managing the complexity of variable feedstocks at its Sarroch refinery. Using Aspen HYSYS®, Aspen AI Model Builder™ and Aspen Simulation Workbook™, the team developed an AI-powered hybrid model to improve operational visibility and decision-making.

To provide insights about how digital technologies offer a beacon of hope in navigating the challenges of the energy transition, Tim Langdon, publisher of Eco Voice, had the pleasure of facilitating a Q & A with Sally Jacquemin, VP and GM, Power and Utilities, Aspen Technology, Inc.

From attracting and retaining a quality workforce to improving maintenance and reliability, establishing the three pillars of a strong data foundation can help ensure a manufacturer’s current and future success

Learn how a leading integrated energy company migrated to Aspen Unified PIMS in less than three months, quickly trained 25 users and provided planners with an easier, faster way to share information—all on one Unified server.

Polymer producers often struggle with unreliable viscosity measurements and raw material variability, leading to reactive adjustments and inconsistent product quality.