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.

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.

Heat exchangers can comprise up to 30% of capital equipment and impact 90% of the energy used in a process plant. The conventional workflow for heat exchanger design requires manual data transfer. The process is time-consuming and prone to data transcription errors. The Aspen Exchanger Design & Rating product family integrates rigorous process models with the industry’s most comprehensive heat exchanger modeling capabilities. In this brochure you will learn how the these fully integrated tools for process design increases engineering efficiency, reduces exchanger costs and improves reliability.

Eliminate the guesswork with reliability modeling that quantifies risk.

Learn more about Aspen Collaborative Demand Manager, a world-class enterprise solution for forecasting market demand.

Cierre la brecha entre la planeación y la operación actual con Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT alinea los objetivos de planeación y programación de forma dinámica para optimizar y coordinar múltiples unidades de proceso en tiempo real y asegurar los mejores resultados económicos en todo el sitio de manera consistente y minuto a minuto.

借助Aspen通用动态优化技术（General Dynamic Optimization Technology）缩小计划与实际运营之间的差距。Aspen GDOTTM 通过实时动态优化和协调多台工艺装置调整计划和调度目标，以确保始终实现惠及全厂的最佳经济效益。

Aspen Mtell uses predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures—enabling companies to increase safety, improve asset performance, and reduce emissions.

Aspen Mtell은 머신 러닝 기술을 활용하여 실제로 문제가 발생하기 전에 성능 저하와 임박한 고장을 나타내는 운전 데이터 내의 정확한 패턴을 인식합니다..

Descubra cómo Aspen Mtell utiliza machine learning para reconocer patrones precisos en los datos operativos que indican degradación y fallas inminentes, mucho antes de que suceda.