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.

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.

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Leading chemical companies across the globe face more competitive pressures with volatile market conditions and a rapidly changing workforce pushing the demand for increased sustainability and profitability. Digital twin software offers new levels of operational excellence through enterprise-wide insights that drive improved business operations.

The concept of digital twins has been around since 1960s, but the term was first introduced nearly a decade ago by NASA's John Vickers. Until very recently, adoption of digital twins has been fairly inconsistent but acceptance looks to be accelerating with recent market shifts. Today’s users are seeing exponential benefits by deploying multiple digital twins across sites. The next wave of digitalization innovations, powered by digital twins and AI, is creating new levels of agility and flexibility, paving the way to autonomous operations.