Comprehensive, first principles thermodynamics and unit operation models bring benefits across a project and/or asset lifecycle for the process industries. Users can quickly create robust, realistic process simulation models to use for offline and online (digital twin) applications.

• Create and visualize process flowsheets with an intuitive, easy-to-use graphical interface. 

• Size, rate and select appropriate materials for equipment in accordance with industry standards. 

• Accurately predict the impact of feed changes, upsets and alternate operations on safety, production and profitability. 

• Optimize designs to meet operational and business objectives.  

• Leveraging UniSim models as the digital twin, monitor plant performance and equipment reliability.

The UniSim API represents a significant advancement over traditional COM/OLE interfaces, providing a modern SDK compatible with languages such as Python and .NET. UniSim AltView offers an alternate, ready-to-use view into UniSim Design without the need for coding, while the reference implementation of the UniSim API Python SDK further enhances usability. With the Designer tool, users can locally design and create screens, and the Runner tool allows non-experts to remotely launch simulations, making UniSim Design accessible and efficient for a wide range of users.

• UniSim API – SDK compatible with newer languages (ex: Python, .NET)
• UniSim AltView – An alternate view into UniSim Design (ready to use – no coding)
  • Reference implementation of the UniSim API Python SDK
  • Designer – locally to design & create screens
  • Runner – remotely by a non-expert to launch

Carbon Capture and Storage (CCS)

• Specialized property packages for pure CO2 and gas mixtures with high CO2 content.
• Enhanced flash solver for solid formation.
• CO2 Freeze Out utility to predict the formation temperature and solid CO2 freeze-out.

CO2/GHG Emissions Accounting

• Tool estimates CO2 emissions based on power and utility consumption for any flowsheet.
• Emissions utility can classify Scope 1 and Scope 2 emissions.
• Calculate emissions for GHG: Methane (CH4) and Nitrous Oxide (N2O) along with (existing) CO2.

Green Hydrogen (H2)

• Alkaline (AEL) and PEM electrolyzer with pre-defined parameters flowsheet.
• User-modifiable parameters to match technology licensor’s information.

User-friendly features make flowsheeting intuitive and fast. 

• Adjust methods and adjust groups.

• Run multiple cases in parallel.

• Intuitive navigation and search options.

• Ease-of-use for PFDs. 

• Enhanced spreadsheet functionality.

• Preliminary equipment design tool based on UOP sizing.

In the realm of process modeling, the integration of first principles and data-driven models, such as AI and machine learning, offers a powerful approach to achieving specific goals. By supplementing first principles models with additional structure, the accuracy of predictions can be significantly enhanced when calibrated with process data. Combination of first principles and data driven ML models designed to achieve specific goals. The system includes configurable data-driven model types, known as Machine Learning Evaluators, which support both linear and neural network models.

• Supplement first principles model with additional structure to improve accuracy of predictions when calibrated with process data
• Leverage both UniSim Design sequential and UniSim EO based process flowsheet models
• Utilize the new Hybrid Developer (HD) unit operation in the object palette to for hybrid model configuration
• Configurable data-driven model types (Machine Learning Evaluator) that support linear and neural network models
• Option to train ML model with externally using an open-source tools such as TensorFlow Keras, Scikit-Learn or PyTorch