Aspen HYSYS는 선도적인 공정 시뮬레이이션 소프트웨어로서, 수십 년간 축적된 경험과 함께 세계 각국의 오일 및 가스 산업과 EPC (Engineering, Procurement, and Construction) 기업들의 피드백을 기반으로 개발되었습니다. 경제성 평가, 에너지 절감, 안전성 평가 및 배출량 분석 등을 결합한 통합 공정 모델링 툴을 통해 공정 자산의 전체 주기 전반에서 가치를 확보할 수 있습니다.

With ever-changing operating conditions—including different feedstock—today’s process plants are challenged to meet growth and sustainability targets as many critical KPIs cannot be measured on a real-time basis.

With ever-changing operating conditions—including different feedstock—today’s process plants are challenged to meet growth and sustainability targets as many critical KPIs cannot be measured on a real-time basis.

Con condiciones operativas en constante cambio —incluyendo diferentes materias primas—, las plantas de proceso actuales enfrentan el desafío de cumplir con objetivos de crecimiento y sostenibilidad, ya que muchos indicadores clave de desempeño (KPIs) no pueden medirse en tiempo real. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar a los operadores visibilidad en tiempo real y optimizar el rendimiento, existe una idea errónea común en la industria de que este enfoque es complicado y difícil de implementar.

Watch this video to discover the new FCC model available in Aspen HYSYS V15. This model facilitates the simulation of both modern high-conversion FCCs (such as those used in petrochemical applications) and traditional FCCs. The new FCC model features enhanced kinetics and naphtha lump definitions, providing detailed insights into lighter olefins and paraffins, as well as improved naphtha recycle loop modeling.

Process safety remains a top priority for companies worldwide, but balancing CAPEX against the need to design safety systems for multiple emergencies can be challenging. Aspen HYSYS Dynamics™ and Aspen Flare System Analyzer™ are proven to accurately model flare systems while reducing CAPEX.

Natural gas is uniquely positioned as a transition fuel to support an affordable and secure energy transformation through displacement of coal power electricity generation and supplementing renewable electricity.

Process industries, especially refineries, must continually adapt to operational changes driven by variations in feedstock, product demands, and other factors. Moreover, many critical KPIs cannot be directly measured in real-time within an operating plant.

In this interview, Erika Belmont Product Manager for Performance Engineering explains the advantages of using dynamic process simulation to gain insight into the transient behavior of systems and understand how processes respond to changes.

Setting up analyses to study transient process conditions is cumbersome, even for the most experienced engineers in the process industry.