With an increased focus on climate change and energy transition, companies are pivoting to more sustainable operations raising questions such as:

En esta presentación la experta de AspenTech, Rosa Montesinos, dio a conocer cómo puede lograr la excelencia operativa al incluir soluciones con IA Industrial como modelos híbridos y APC. Vea ahora esta grabación.

Las innovaciones en IA industrial ahora permiten la descarbonización de los principales procesos químicos y de refinación, mejoran la eficiencia energética y del agua, reducen las emisiones de gases de efecto invernadero e impulsan la captura y el almacenamiento de carbono. Descubra cómo estas tecnologías digitales y aplicaciones pueden apoyarlo a alcanzar más rápido sus objetivos de sustentabilidad a través de la simulación de procesos, la optimización de servicios públicos, el control avanzado de procesos, el mantenimiento predictivo, la optimización de la planificación de la producción y la gestión de la cadena de suministro.

In this session from OPTIMIZE™ 21, learn how how Polymer Digital Twin models built by Equinox Software and Services Pvt. Ltd. (EQNX) helped build capabilities at a Greenfield Polymer manufacturing facility. The Digital Twin Process models using Aspen Plus® were deployed prior to the plant commissioning, helping the Operations team to quickly build capabilities for Polymer manufacturing enabling agility, collaboration and profitability from the first day of operations of the integrated refinery, petrochemical and polymer complex.

The global pandemic has disrupted the process industries as never before. Shifting market demands and an increasingly remote workforce are challenging companies to operate safely, efficiently and profitably. At the same time, they cannot lose sight of their long-term sustainability goals. Fortunately, advances in technology are helping downstream, upstream and chemical leaders not just adapt, but find new ways to improve operations, reduce risk and create value—all while driving toward a safer, more sustainable business.

Will your current technology help you achieve a zero-carbon future? As industry leaders look for ways to reduce their carbon footprint, there are strategies energy companies can employ now to reduce their carbon intensity.

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.  

A breakthrough innovation, Aspen Hybrid Models™ help chemical companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of industrial AI.

Hydrogen and carbon capture have become focal points as energy and chemical companies look to reduce emissions and achieve net-zero carbon targets. But what’s the best approach?

Reactor operations continue to be critical for today’s refineries, but reactor simulation solutions have traditionally been difficult to use and maintain. The problem is magnified as experienced engineers and operators retire at a faster rate.