Industrial data from a variety of sources and locations has the potential to help organizations meet energy efficiency goals, avoid raw materials/feedstock shortages, decrease downtime, increase profitability and improve ESG reporting. But the chemical industry, like other asset-intensive industries, generates large amounts of data that never gets collected, contextualized and used to its full potential.

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.

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.

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.

The design and debottleneck of plants often require multiple iterations of engineering and capital expenditure (CAPEX) analysis. No matter how well an asset is designed, once operational, new variables come into play allowing for further optimization opportunities to arise. The handoffs between design, construction and operations bring new wrinkles to the entire system. What may seem like an inconsequential decision in one area may have a significant impact in another.