Surrogate models (or Reduced-Order Models) allow simulation users to explore and identify optimal process performance conditions faster than full, rigorous simulations. But there are times when users may find they are extrapolating beyond the data used to develop the surrogate model or when there is a desire to confirm the accuracy of the surrogate model. In these cases, the surrogate model can be used to enhance model performance, from both a robustness and performance perspective.

The steam reforming reaction to generate hydrogen from natural gas takes place at high temperatures. Conventional rigorous reactor modeling requires a temperature profile of the process fluid, which is difficult to estimate or measure. Using the latest First Principles Driven Hybrid Models, it was found that a relatively simple model can accurately represent a wide range of plant data. In this presentation, the methodology of first principles driven Aspen Hybrid Models, the importance of data conditioning, comparison with conventional methods and potential benefits are all discussed.  

Drive more sustainable mining operations with digital technologies have the power to transform your mining business- from pit to port. Achieve higher levels of agility, efficiency, safety and profitability with the digital mine.

This webinar offers use cases that explain how to leverage the power of AIoT to lower costs, accelerate performance and improve sustainability.

There is great opportunity to leverage digital technologies that improve product quality and yield, process efficiency, on-time delivery and sustainability in pharma manufacturing.

Nissan Chemical was looking to optimize its ammonia manufacturing process and reduce operating costs. To do so, they needed to find a model that would enable them to simulate the behavior of a real plant.

InformationWeek - 3 Ways CDOs Drive Successful Industrial Digital Transformation

CIO - To make industrial data actionable evolve your data historian with an AIoT strategy

At the recent COP26 Conference, AspenTech President and CEO Antonio Pietri sat down with Wood Chief Technology Officer Darren Martin to discuss the highlights of the event and the progress made in sustainability across key industries. Highlights of the discussion include: Hurdles companies are facing to achieve their sustainability goals; Technology’s role in reducing emissions; How digitalization is advancing companies’ carbon-reduction strategy; The co-innovation between AspenTech and Wood.

Refiners and olefins producers continue to look for innovative ways to reduce carbon emissions. New innovations now enable companies to meet emission targets and still ensure profitable operations. In this on-demand webinar experts discuss how Production Optimization in Aspen Unified™ can be used to predict and optimize the tradeoff between emissions and profits.