Aspentech

As North American utilities approach the one-year mark following the July 2025 compliance milestone for FERC Order 881, many are reflecting on the value that adopting ambient-adjusted rating (AAR) functionality has provided to grid reliability and how to expand further use and adoption. The objective of FERC 881 is to improve the fidelity of transmission line limits, enabling both more reliable system operation and the identification of additional line capacity when conditions permit.

Industrial organizations are increasingly focused on making operational data accessible across plants, business units and cloud initiatives—yet many data platforms struggle to scale without introducing complexity, cybersecurity risk and high operational overhead. In this session, Stefan Secker, VP of Software Development at AspenTech and co-founder of inmation, introduces a new generation of AspenTech Inmation™: the AspenTech Inmation OT Data Fabric.

As electrical networks continue to grow in complexity and scale, a strong IT/OT data strategy is becoming critical to reliable and efficient system operations. Aging infrastructure, combined with electrification and the rapid adoption of distributed energy resources (DERs), is fundamentally reshaping how transmission and distribution networks operate. Today’s grids are no longer defined by predictable, one‑way power flows.

AspenTech Digital Grid Management (DGM) is actively advancing data interoperability across the utility ecosystem by participating in the Electric Power Research Institute (EPRI) Grid Model Data Management Forum. This is a collaborative initiative that brings together utilities, software providers and consultants to standardize the exchange of electrical network models.

Optimal design and operation of heat exchangers (HX) are critical for reducing energy usage, lowering emissions and ensuring proper plant performance. However, using disparate software for process simulation, thermal design and mechanical design leads to missed opportunities, increased risk of design errors from manual data transfer and higher engineering effort.

Periods of market volatility test every part of the refining and chemicals value chain. Rapid price movements, disrupted trade flows and shifting supply–demand dynamics compress decision windows and expose operational weaknesses. At the same time, these conditions create opportunities for companies that can respond quickly and confidently.

Inspiring the Next Generation Energy challenges are complicated, and they don’t get solved in a vacuum. They get solved when smart people come together to design innovative solutions that work in the real world. That’s why Aspen Technology is proud to once again sponsor Energy Mentors’ Power the Community competition for 2026.

Sweco, Europe’s leading architecture and engineering consultancy, needed a more consistent and scalable approach to cost estimation across its Industry and Energy Division in Finland. Reliance on scattered, spreadsheet-based workflows created alignment issues between estimators and required extensive manual reviews, especially in projects where clearly defined process areas were essential for accurate results.

DATE: March 24, 2026 TIME: 10:00 AM EDT / 3:00 PM CET Process simulation tools—such as steady-state and dynamic modeling platforms—provide value far beyond traditional design and analysis. When simulation models are connected to a broader digital engineering environment, validated process data can be seamlessly reused across disciplines, supporting integrated and efficient project execution.

Join us for an in-depth look at Cameron LNG’s successful deployment of Aspen DMC3™ Advanced Process Control (APC) across its three LNG trains and fuel gas system. Learn how Cameron LNG layered multivariable advanced control atop its existing process automation infrastructure to reduce process variability, overcome seasonal constraints and enhance stability and responsiveness under fluctuating ambient conditions.