Process Modeling and Simulation Tool(PSM)
The PSM Tool is a .NET application for AquaSPICE that creates digital models to simulate entire industrial production chains under 'what-if' scenarios.
Description
The Process Simulation and Modelling (PSM) Tool is a specialized, stand-alone software application built using the .NET Framework, utilizing both Visual Basic and C# programming languages. It was designed as a core component of the AquaSPICE project suite, specifically developed to address the complex requirements of modelling and simulating production chains within process industries.
A key innovation of the PSM Tool is its holistic approach to simulation; it is capable of modelling the entire production chain, tracking the lifecycle from raw materials to final valuable products and by-products. This capability is highly scalable and versatile, allowing users to analyze operations at different levels of granularity, ranging from a single specific process to complex, cross-sectorial networks.
Functionally, the tool allows for the creation of a comprehensive digital representation of the physical system. By enabling users to run simulations based on specific "what-if" scenarios, the PSM Tool provides critical insights into system behavior, helping industries predict outcomes, optimize processes, and better understand the dynamics of their production ecosystems.
Features:
- Modeling & Simulation
- Dynamic LCA
- Scorecards (SBSC)
Actors, Roles and Interactions
- Actor 1
- Actor 2
Unique Selling Points
- Process Modeling
- Sustainability Balanced Scorecards
- Built-in Life Cycle Assesment
- Well documented API for integration with various other tools
Publications
Model-Based Simulation Framework for Digital Twins in the Process Industry
A process modelling and simulation theoretical framework of general use for the study of continuous process industrial systems is introduced. The proposed process modelling methodology is based on Material Flow Networks and is implemented on a Process Simulation Modelling Tool developed for this purpose. The tool introduced can also serve the requirements arising for online use of the models as digital shadows of the physical systems, in the context of digital twinning the process industry. The implemented models in conjunction with tools from other scientific fields can be used for monitoring, root cause analysis, performance optimization, limitation and recovery of the behaviour of systems. An application example of the proposed methodology is provided and useful conclusions arise. Finally, extensions of the proposed method and potential challenges are discussed.
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Contact Person
Georgios Arampatzis