As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.

2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性，围绕数字化作为关键推动因素的作用，一个共同的主题正在形成。事实上，ARC咨询集团最近的一项调查显示，75%的受访者认为数字化转型对于实现可持续发展目标非常重要。

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

Sustainability remains top-of-mind for most executives as they work to balance environmental concerns with business performance. Digital solutions have emerged as a key enabler to help companies make progress toward their sustainability goals.

Aspen HYSYS has been updated and improved with additional features over the last few years. From concurrent engineering to integrated gas plant modeling and refinery-wide modeling to streamlined process safety analysis, experience the latest innovations in chemical process simulation. This checklist shows the addition of features and incremental improvements by version.

As changing business conditions and an evolving workforce challenge companies in the process industries, AspenTech is working to meet their diverse training needs.

Dynamic modeling is more accessible with Activated Dynamics in Aspen HYSYS. Optimize one, two or three stage centrifugal compressors with pre-built templates for setting up multiple scenarios and preconfigured charts for analyzing the results. Start your 1-day online trial today to take a guided tour and test drive the workflow to optimize compression while avoiding compressor surge.

Dynamic simulation is a powerful tool for ensuring safety, operability and controllability, but moving models from steady-state to transient can be intimidating for new users. Use this checklist to get started creating a dynamic study from a steady-state flowsheet.

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。