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Automation & Control

Software Features Empower Process Optimization

AI, machine learning and predictive analytics encourage faster, data-driven decision making To help offset the loss of experienced operators and optimize operations, advanced features, such as artificial intelligence (AI), machine learning (ML) and predictive analytics, are being applied to software…

Yokogawa deploys multiple autonomous control AI agents at Aramco facility

Yokogawa Electric Corporation (Tokyo, Japan; www.yokogawa.com) announced it has achieved a historic milestone in the deployment of industrial artificial intelligence (AI) solutions with Aramco (Dhahran, Saudi Arabia; www.aramco.com). Multiple autonomous control AI agents have been successfully implemented by Yokogawa at…

How to Choose the Best Calibration Software for Your Chemical Plant

In chemical manufacturing, precise instrumentation is essential for product quality, process safety and regulatory compliance. The Beamex Calibration Software Buyer’s Guide helps engineers and operations leaders understand how digital calibration management improves traceability, reduces manual work and supports compliance with…

How leading manufacturers are rethinking expansion with pre-owned process facilities

This white paper from International Process Plants (IPP) reveals how chemical and petrochemical executives are reducing capital costs, greatly accelerating time-to-market, and minimizing risk by acquiring quality secondhand facilities with verified operating histories. Using IPP’s Southeast Asia petrochemical complex as…

Evonik and Schneider Electric partner to advance automation in thermoplastic recycling

Schneider Electric (Rueil-Malmaison, France; www.se.com) and Evonik (Essen, Germany; www.evonik.com) have partnered to automate a thermoplastic processing plant at Evonik’s Essen Goldschmidt site in Germany. This initiative was officially launched during the K Show trade fair in Düsseldorf, Germany, an…

Estimating Simulation Parameters for Batch Columns from Experimental Data

This whitepaper, Estimating Simulation Parameters for Batch Columns from Experimental Data, outlines a practical method for deriving key model parameters (such as heat losses, hold-up volumes, and stage efficiencies) directly from plant data. Using a lab-scale ethanol–water batch distillation column,…

Accelerating Speed to Market and Sustainability Outcomes Using Digital Twins

An AI-driven digital twin has fundamentally altered the way new products are developed in the automotive sector Your product might be a game changer. But if it takes two years longer than your competitors to bring it to market, that’s…

Getting It Right: Building a Sustainable Smart Digital Reality™

Digital transformation promises growth, resilience and efficiency, but too often it fails to deliver. In fact, 70% of digital initiatives miss their goals because of poor planning, lack of alignment, and employee fatigue. This eBook, Getting It Right: Building a…

Goodbye Thermowell! Introducing high-precision non-invasive temperature measurement

This new advanced temperature measurement technology delivers accuracy while saving you time and money associated with additional thermowell requirements. This white paper presents results of a direct comparison of non-invasive temperature measurements with classic measurements in a measuring medium, achieved…

Good Engineering Practices for Flow Measurement in the Chlor-Alkali Process

The chlor-alkali process is a cornerstone of the chemical industry, but it presents significant challenges for instrumentation due to the highly corrosive and aggressive nature of its process and end products. Selecting the right flow measurement technology is critical for…