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.

Las plantas de proceso enfrentan el desafío de cumplir con sus objetivos de crecimiento y sostenibilidad en un entorno de condiciones operativas en constante cambio, incluyendo la variabilidad en las materias primas. Muchos KPIs críticos no pueden medirse en tiempo real, lo que dificulta la optimización del desempeño. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar visibilidad en tiempo real a los operadores, existe la percepción errónea en la industria de que este enfoque es complejo y difícil de implementar.

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.

Sulfur recovery units (SRUs) are critical to process plants to ensure product quality and meet environmental regulations. However, SRUs present challenges with limited performance insights due to unpredictable catalyst degradation and feed composition-dependent optimization. Additionally, varied plant configurations and rapidly evolving technology add to the complexity.

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.

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.

AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

Learn the answers to your questions about Activated Energy Analysis. We compiled a list of questions and answers from the webinar, “Reduce Energy Use and Emissions with Process Design Workflows That Integrate Energy Analysis.”