AspenTech optimizes cyclic separation processes, maximizes production by identifying improvement scenarios and reducing plant trials using proven models.

AspenTech's Aspen Plus provides a plant-wide simulation solution that combines unparalleled accuracy and engineering collaboration to drive ROI.

AspenTech's performance engineering solution reduces plant CAPEX and OPEX while improving time to market, energy efficiency and profit margins.

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 Plus has been updated and improved with additional features over the last few years. From concurrent engineering to integrated solids modeling and batch modeling, 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.

The AIoT Hub provides a cloud-ready, robust and highly scalable infrastructure for Industrial AI applications to realize the vision for the Self-Optimizing Plant.