AVEVA Process Simulation

AVEVA Process Simulation is a comprehensive platform designed for engineers and operators focused on creating sustainable processes throughout a plant's life cycle. The platform facilitates innovation across design, simulation, training, and operations, enabling users to explore all design dimensions and assess impacts on sustainability, feasibility, and profitability.

The platform is renowned for significantly improving efficiency with a 15% reduction in engineering hours, enabling project implementation to occur 60% faster, and reducing time spent on model maintenance by 20%. It offers sustainable design features that use custom modeling and built-in capabilities to decarbonize process plants towards achieving net-zero emissions.

Users benefit from simplified workflows, replaced by a single user-friendly interface instead of multiple specialized programs, facilitating multi-discipline collaboration among engineers across various domains like process, utility, control, and mechanical.

Features

• Steady state and dynamic simulation modes: Allows for mode changes anytime between flow-driven steady state, pressure-driven rating, and dynamics.
• Extendable architecture: Features built-in Python scripting for simulating new processes and integrating new technologies.
• Sustainability tools: Includes built-in hydrogen processes, renewable processes, and greenhouse gas calculations to engineer future-ready plants.
• Real-time data integration: Facilitates automatic integration of operations data from AVEVA™ PI System™.
• Cloud access: Supports collaboration and innovation by connecting engineers in the cloud, reducing IT burden.
• Open modeling: Enables visualization and customization of model equations and new model creation without programming.

The tool integrates with AVEVA™ PI System™ for building online digital twins and AVEVA™ Unified Engineering, enabling seamless integration of simulation data with design diagrams and 3D plant models. Users can apply machine learning models through the Open Neural Network exchange (ONNX) adapter, creating process data and simulations that incorporate ML models for enhanced insights.

It supports a wide range of modeling processes, including chemical processes, renewable technologies, carbon capture, refining, and utility networks, and is distinguished by its advanced equation-oriented (EO) matrix solver offering greater speed than legacy systems.