en.Wedoany.com Reported - Valmet has recently launched a software suite called the Valmet DNAe Optimization Suite, consisting of a set of scalable optimization applications designed to improve plant operational performance and efficiency. This solution can be deployed in process plants using Valmet or other suppliers' control systems, covering circular processes, the hydrogen industry, as well as traditional chemical and refining operations.
Petri Köykkä, Director of Plant Performance Solutions for Automation Solutions Energy and Process Systems at Valmet, noted that process optimization can reduce fluctuations, improve energy efficiency, and increase production while maintaining stable operations. With this suite, customers' engineering teams can configure and deploy optimization applications according to actual needs, either independently or in collaboration with Valmet. The company states that this software suite can be used to enhance the performance of an entire plant or to optimize specific sub-processes. The suite is part of the Valmet DNAe development program, which continuously introduces new tools, features, and AI capabilities to support customers, strengthen partnerships with value-added resellers and OEMs, and drive the process industry toward more autonomous operations.
The Valmet DNAe Optimization Suite supports iterative optimization workflows, bridging performance monitoring, application design, and operational optimization. Users can identify improvement opportunities through dashboards and key performance indicators, develop and validate models using process data, and then deploy advanced control applications aimed at improving yield, stability, and efficiency. Additionally, the suite allows customers to develop and run machine learning models locally with Valmet experts, features database integration capabilities, and provides direct connections to control solutions and operational applications.
The Valmet DNAe Optimization Suite can be integrated with the Valmet DNAe distributed control system, supporting commissioning and lifecycle management, or it can serve as a standalone optimization layer for plants using other control systems. The suite includes model predictive control applications, nonlinear rule-based advanced process control methods, virtual sensor functions, computational libraries for estimation and online modeling, controller design tools, as well as analysis and dashboard creation capabilities.
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