For decades, first principle models have been used for process design and optimization in the chemical industry. Recent innovations employ machine learning techniques—enriched with first principle constraints—to create a hybrid model that closely represents real plant behavior. Fast, easy access to industrial AI is helping organizations make accurate decisions to select an optimum design quickly and improve operations, maximizing productivity and minimizing energy usage.

The successful execution of engineering projects requires intense collaboration among multi-discipline teams, but manual data handoffs often lead to errors, inconsistencies and delays that can derail a project.

Watch this webinar on Aspen InfoPlus.21® (IP.21) from AspenTech, exploring the potential of contextualizing historical data to transform your business.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

For chemical manufacturers, responding with agility to inevitable daily supply and demand disruptions is vital to reach planning and scheduling goals.

In today's industrial landscape, the ability to leverage data for safety and reliable plant maintenance is critical. But with so much industrial data from disparate sources, it’s difficult to gain the insights you need to achieve your operational goals.

In this webinar, Florian Seidl, Business Unit Manager, Advanced Solutions at cts GmbH discusses the challenges of contextualizing data when transferring between different systems, a concern especially applicable for regulated industries.

The hydrogen economy has been gaining momentum in North America for the past two years, and this has only accelerated as the U.S. Department of Energy begins to implement the incentives provided in the recent IRA legislation.

AspenTech commissioned an independent survey of 200 North American and European decision makers from key industries, including engineering and construction, chemicals, oil and gas, pharmaceuticals and metals and mining, focusing on industrial data usage.

Early returns from an ARC Advisory Group survey indicate that optimizing plant operations performance and eliminating process upsets are considered a critical component of asset performance management (APM) systems.