Dynamic optimization toolset for efficient tuning and optimization of simulation models

Dynamic process simulation is widely used in process industry for important applications such as design, training and operation support. High-fidelity of simulation models is critical to achieve reliable results.

Tuning parameters and optimization of simulation models is often time-consuming. It also requires simulation experts with thorough understanding of the system under study.

Semantum and Omega simulation have collaborated to develop a model optimization toolbox. This toolset consists of tuning and optimization functions based on multi-parameter optimization. This critically reduces time needed for model tuning and optimization, and can be used to find optimal parameter values for both steady state and dynamic behaviour.

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Simulation-aided testing of the cruise-ship LNG fuel system control application

Simulation-aided testing refers to the use of a dynamic process simulation model to test and verify the process control application. Semantum and MEYER Group have collaborated to apply this method during the commissioning and delivery of a cruise-ship LNG fuel system. This approach enabled integrated testing, even before the real system is operational, reducing commissioning time. Testing during early commissioning is key to making necessary adjustments in a more agile way.

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Cruise ship system level optimization for energy efficient operation

Dynamic system simulation offers an exceptional method to analyze and enhance the performance of complex systems within real-world operational constraints. In this case, we are collaborating with ALFRED Maritime and MEYER Energy Efficiency Team. By integrating cruise ship system simulation and optimization, we provide situational insights and recommendations for near-future operations. Our contribution is a key component of the recently launched MEYER EMS product.

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MONA: Linear optimization tool for operations planning

High efficiency of power and heat production and distribution is critical for Fortum. Power and heat generation must be planned considering e.g., fluctuations in power price, ever-changing weather conditions and continuous variations of fuel costs.

In order to help overcoming this challenge, Fortum and Semantum have developed MONA, a tool for linear programming modeling.

MONA is used for optimization of power and heat production planning, but its potential applications are many across different domains.

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Digital Twin of LUMI high-performance computer cooling system

LUMI is one of the EuroHPC pre-exascale supercomputers. Located at CSC data center in Kajaani, Finland, LUMI is about ten times more powerful than the Europe’s most powerful supercomputer currently in public use.

Supercomputers generate a significant amount of heat, thus they require efficient cooling solutions. LUMI's cooling system, designed and built by Grandlund, reduces the facility’s carbon footprint by providing excess heat to the district heating network.

Semantum, in collaboration with Granlund, developed a simulation-based Digital Twin of LUMI's cooling system. This Digital Twin has been used for design verification and for more efficient commissioning.

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WebTurbine^®: Simulation-Based Digital Twin for the Siemens SGT-800 gas turbine series

WebTurbine^® is a Simulation-Based Digital Twin where the simulation model of the turbine can be configured and managed through web-based user interfaces.

Holistic model information and simulation variables values are displayed in user-friendly interfaces and simulation results can be easily stored and retrieved.

WebTurbine has been successfully used for performance analysis and it is a valuable tool for operation, service and sales support

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TAKEOFF: Collaborative Design-Build-Operate Ecosystem

Digital transformation of process industries plays a key role in Europe's journey towards sustainable economy. ABB and Semantum collaborate in the TAKEOFF project, partially funded by EIT Digital. TAKEOFF is targeted to create a business-driven ecosystem based on a digital collaboration platform to design, build, and operate industrial plants.

In TAKEOFF, ABB and Semantum are jointly developing a simulation-aided equipment selection system that will optimize the equipment selection for the end-customers. This optimal selection can be based on different aspects such as efficiency and maintainability of the plant equipment.

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From a 3D Plant Model to an Autodesk Forge^®-based OPC UA-connected Digital Twin for Simulation

In this demonstration application, developed in collaboration with Autodesk, information of a 3D plant model is extracted to automatically generate and configure a dynamic simulation model

After its integration with the plant through Autodesk Forge, the simulation model is the core component of a Simulation-Based Digital Twin.

This application can be used for process and control design, control system testing, operator training, and process optimization and troubleshooting. The generated Simulation-Based Digital Twin can be seamlessly connected to the Forge platform and to the targeted process plant, capitalizing on the OPC UA standard, and simulation data can be visualized in Autodesk Forge.

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