Robust heat exchangers designed and delivered on time and on budget are vital for the success of engineering projects. AspenTech offers an integrated design workflow that supports every major type of heat exchanger. The seamless integration between its solutions for process design and the thermal and mechanical design of heat exchangers reduces design time. Learn more.

Maintain refinery margins by updating refinery planning models with streamlined workflows using a process simulation solution calibrated to plant data.

Close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ aligns planning and scheduling objectives by dynamically optimizing and coordinating multiple process units in real time to ensure the best site-wide economic results, consistently and on a minute by minute basis. Download this brochure to discover how companies are minimizing product giveaway, increasing throughput, improving yields and much more!

Air Products has seen between 2% and 5% improvement in plant capacity by using AspenTech solutions, as well as significant improvements to recovery and efficiency. Learn more by watching this video.

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

This podcast is part of a series featured on "In the Oil Patch" with Shale Oil & Gas Business Magazine radio show. In this podcast, Kim Bolado, host with "In the Oil Patch" interviewed Ron Beck, AspenTech Market Strategy Director and Industry expert on how technology can help improve sustainability in the oil and gas industry.

In this brief video, Antonio Pietri discusses the concept of VUCA and what that means for Industry 4.0 and digitalization in the smart enterprise.

In today’s ever-evolving global economy, Energy and Chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI Machine Learning algorithms to build seed models by simply mining historical data. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling, and operation, significantly reducing margin leakage and energy costs.

Braskem is the largest petrochemical company in Latin America, the leading producer of polypropylene in the United States, and the eighth-largest resin producer worldwide. Braskem used Adaptive Process Control within Aspen DMC3 to deploy controllers in just two weeks to start accruing benefits immediately. The benefits included lowered energy usage by 20%, increased production rates and reduced process variability. Download this case study today to learn more about the benefits Braskem realized by using Aspen DMC3 and discover how to achieve these benefits at your organization.

Demo showing a controller before and after Robust Control. Turning on Robust Control stabilizes a controller for a temporary period until the model can be updated to reflect true plant behavior.