On Demand Webinar

Circular Economy Benchmarking: How Do You Compare?

Recently AspenTech and the ARC Advisory Group conducted a study on the circular economy among industrial manufacturers. Early results indicate that complex supply chains and proven technologies are the most significant barriers to achieving circular economy goals with 75% of respondents believing digital capabilities are essential.

On Demand Webinar

可持续性案例模型网络研讨会:改善碳捕集以实现净零排放

在企业进行能源转型的过程中,碳捕集始终是关键。在网络研讨会中,专家展示了AspenTech解决方案中的案例模型如何帮助您准确、高效地模拟、设计、优化和评估碳捕集过程。

On Demand Webinar

Sustainability Sample Model Webinar: Improve Carbon Capture to Achieve Net Zero Emissions

Carbon capture remains key as companies continue to navigate the energy transition.

On Demand Webinar

Sustainability Sample Model Webinar: Integrate Bio-based Feedstocks into Industrial Processes for a Low-Carbon Future

Companies today are challenged to leverage alternative raw materials for greener operations.

On Demand Webinar

Hybrid Models in Chemicals: Leveraging Industrial AI to Overcome Operational Challenges

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.

On Demand Webinar

Addressing Key Technical and Economical Challenges of Carbon Capture Technology

Technology Centre Mongstad (TCM DA) is the world’s largest open access test center for carbon capture technologies. It is located next to the Equinor refinery in Mongstad, Norway, which is the source of two types of flue gases supplied to TCM’s carbon capture demonstration plant. Since TCM inauguration in 2012, testing has provided valuable learnings and experiences needed for the widespread growth of the CCS industry.

On Demand Webinar

3 Ways to Drive Progress with Sustainability and Net-Zero Targets

As sustainability remains an industry imperative, it’s essential you make progress with both your near- and long-term sustainability targets.

On Demand Webinar

Desarrolle sus iniciativas de sustentabilidad a través de la digitalización

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.

On Demand Webinar

Polymer Digital Twin: Enabling Plant of the Future for a Global Energy-Petrochemical Major

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.

On Demand Webinar

Use of Surrogate Models to Enhance Rigorous Simulation Performance

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.

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