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.

Process simulation, cost estimation and 3D models are crucial to engineering projects, leading to better, more accurate designs. Now imagine seamlessly integrating these disciplines into one concurrent workflow for real-time collaboration that dramatically saves time and reduces costs.

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.

Optimizing production for industries with complex processes requires precise models. However, models can be challenging to create when processes include custom equipment, not available in standard model libraries.

Sulfur recovery units (SRUs) are critical to process plants to ensure product quality and meet environmental regulations.

Process safety remains a priority for companies, but balancing the design of safety systems to withstand risks against higher CAPEX costs is challenging. Accurate, efficient modeling of depressurization is key, especially in carbon-capture processes.

AspenTech Industrial AI™는 공정 산업의 판도를 바꾸는 기술로서 AI 알고리즘의 속도와 성능에 실제 도메인 전문 지식의 효율성과 매개변수를 결합하였습니다. 특수 목적에 맞게 설계된 아스펜테크의 AI 솔루션은 데이터 인사이트, 엔지니어링 기반기술, 공정자산에 대한 지식 및 산업에 특화된 전문 지식을 결합하여 고객 기업이 끊임없이 변화하는 비즈니스 요구 사항에 더 빠르게 적응하고 대응할 수 있도록 지원합니다.

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.