GSE SOLUTIONS | ADVERTORIAL FEATURE
Improve Plant Performance with Advanced Modeling
A smarter path from data to decisions—leveraging advanced modeling to reduce risk, validate designs, and improve plant performance before implementation.
AS POWER PLANTS MODERNISE, engineers must integrate legacy systems with new digital technologies while maintaining safety, reliability, and regulatory compliance. Advanced modeling combined with simulation software tools bridge this gap by enabling engineering teams to evaluate system behavior and proposed changes before implementation. Modern simulation platforms digitally replicate plant systems and compare simulated performance with real plant data. By modeling equipment, control systems, and process behavior under actual conditions, engineers can analyse responses to design changes, equipment degradation, or abnormal scenarios. This allows teams to investigate root causes, test solutions, and validate performance without introducing operational risk. One key application is Simulation-Assisted Design
Engineering (SADE), which supports plant modifications and new builds. Through advanced modeling, engineers verify system interactions, validate design assumptions, and refine control strategies before field implementation. When combined with experienced design engineers, simulation becomes a powerful tool for resolving integration issues early
and improving system response. These digital environments support design verification and validation, control system testing, procedure development, human factors evaluations, and plant performance optimisation. Practical applications illustrate the value. In one case, engineers reproduced a persistent operational issue through simulation and identified the root cause. In another, modeling of balance-of-plant piping predicted system behavior during upgrades and defined safe operating limits before modifications were installed. Beyond technical insight, simulation-supported engineering delivers measurable value. Validating designs before installation reduces rework, minimises commissioning delays, and avoids costly change orders. Teams often see troubleshooting reduced by 20–30%, while preventing a single major design correction can save hundreds of thousands of dollars in avoided downtime and redesign. By combining advanced modeling with expert design engineering support, utilities can turn operational data into actionable insight and make better-informed engineering decisions. ■
W:
gses.com/sade.
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