SimCentral Simulation Platform is now AVEVA Process Simulation. We are making it easier to understand our products with new names. Learn more.
AVEVA Process Simulation is an integrated platform for engineers and operators to innovate across the entire process life cycle—design, simulation, training, and operations. A digital twin allows users to explore all dimensions of a potential design and to quantify the impact on sustainability, feasibility, and profitability for each engineering process.
15%
reduction in engineering hours at Promon Engenharia
60%
faster project implementation at Promon Engenharia
20%
less time spent on maintaining models at Covestro
Use custom modeling and built-in sustainability features to decarbonize your process plants and achieve net-zero emissions.
A single, easy-to-use interface replaces dozens of specialized programs throughout your plant’s life cycle.
Engineers collaborate across process, utility, control, and mechanical disciplines to explore all dimensions of a design.
Reuse one simulation across all engineering phases. Change modes any time and in any direction between flow-driven steady state, pressure-driven rating, and dynamics.
Built-in Python scripting makes it easy to simulate new processes and integrate new technologies.
Engineer the plant of the future with built-in hydrogen processes, processes for renewables, and greenhouse gas calculations.
Automatically integrate real-time operations data from AVEVA™PI System™.
Encourage collaboration and innovation and alleviate the burden on IT departments by connecting engineers and operators in the cloud.
Visualize, understand, and customize model equations. Write new models without needing to program.
Covestro digitally transformed its production processes with a digital twin of process behavior using a single, easy-to-use platform. Engineers across disciplines work on the same processes using the same tool, spurring collaboration and innovation.
Bring your simulations online with operations data and build a digital twin for your process plant. Monitor KPIs that can’t be measured in a plant. Replicate process conditions to identify and troubleshoot issues.
Design renewable power generation networks for wind turbines, solar panels, electrical distribution, and hydrogen electrolysis. AVEVA Process Simulation easily handles the dynamic nature of renewables.
Access industry-specific process libraries for chemical processes, process utilities, flare networks, and more. Use a single simulation for multiple complex processes with capabilities that go beyond conventional simulators.
AVEVA Process Simulation can model a wide range of processes, including chemicals, sustainable technologies (green hydrogen, renewables, power-to-X, and recycling/circularity), gas processing, LNG, carbon capture and gas treating with amines and other solvents, refining, flare and utility networks, as well as water and wastewater systems.
While the legacy process simulators have a sequential modular (SM) solver, AVEVA Process Simulation has a rigorous equation oriented (EO) matrix solver that continuously solves with new inputs (and is therefore much faster than SM tools). AVEVA Process Simulation has specification swapping flexibility (no need for adjusts or controllers), has a role-based user interface, saves multiple cases with a single simulation topology, and offers continuous saving with the cloud. It also has open model writing with Python scripting and offers three different modes in the same program (steady state process, rating/fluid flow and dynamics) that can be transitioned seamlessly.
AVEVA Process Simulation integrates with AVEVA™ PI System™ for building online digital twins, as well as AVEVA™ Unified Engineering for integrating simulation data with engineering process flow diagrams (PFDs), piping and instrumentation diagrams (P&IDs), datasheets, and 3D plant models.
General flowsheet models (flash drum, pump, compressor, expander), heat exchanger models (S&T, air cooled, plate fin), distillation models, reactor models, sustainability and renewables models (electrolyzers, solar panels, wind turbines, electric transmission components), pipe models, flare models, wastewater models, utility network models (steam, cooling water, fuel), economics (CAPEX and OPEX), and sustainability (scope 1 & 2 emissions) calculations.
Users can easily apply any externally trained ML model using any supported pipeline (Tensorflow, PyTorch, scikit-learn, etc.) to an AVEVA Process Simulation model via the Open Neural Network exchange (ONNX) adapter. In this way, users can create process data and cases to train an ML model, as well as incorporate an ML model into a flowsheet for “grey box” simulations (combining first principles heat and material balances with ML model data).
Yes, AVEVA Process Simulation is available via the cloud through AVEVA™ Simulation. Customers can access AVEVA PRO/II Simulation, AVEVA Process Simulation and AVEVA™ Dynamic Simulation through a single cloud environment (with a single cost) and deploy with speed via the cloud, reducing IT infrastructure and software installation.
AVEVA PRO/II Simulation is a sequential modular (SM) steady-state simulator, which has a rich history in refining, oil and gas, petrochemicals, chemicals and polymer processes, while AVEVA Process Simulation is a next-generation equation oriented (EO) simulation platform and is the future of design simulation at AVEVA.
Extend the capability of AVEVA Process Simulation
Formerly Known As PRO/II Process Engineering
A simulator that optimizes plant performance improves your process design and operational analysis by performing engineering studies.
Formerly Known As DYNSIM
High fidelity dynamic simulation for engineering studies and operator training solutions in the process and power industries. Meet and beat the dynamic challenges of designing, commissioning, controlling, and operating a plant safely, reliably, and profitably.
AVEVA Unified Engineering is a data-centric engineering environment. Engineer and collaborate across all project phases and multi-discipline teams in real time.
Collect, aggregate, and enrich real-time operations data for immediate problem-solving and easily deliver formatted data to enterprise applications and advanced analytics.
