Siemens and Process Systems Enterprise (PSE)

...working together to leverage your process plant’s full potential. Improving profitability and efficiency: In collaboration with Process Systems Enterprise (PSE), Siemens is moving a step closer to Industry 4.0 and creating ideal conditions for digitalized plant operation in the process industry.

Siemens plans to acquire Process Systems Enterprise 

Siemens has been working successfully in a strategic partnership with Process Systems Enterprise (PSE) since 2018.

The combination of high-precision predictive models and real-time process data play an important role in the digitization of process plants.

After the cooperation has proved to be very positive for both companies, the integration of PSE into the Siemens family is planned. This enables the customer to exploit his full potential over the entire plant life cycle.

Strategic partnership

Consistent, end-to-end data models for the entire lifecycle

In-depth process knowledge and comprehensive expertise make model-based plant operation a possibility.

Creating added value:

An important feature of Industry 4.0 is the goal of providing consistent, end-to-end data models. Both for the supply chain and the entire lifecycle of a plant. Dealing with the process industry requires an in-depth understanding of both processes and procedures as well as extensive engineering know-how.

The partnership between Siemens and Process Systems Enterprise (PSE) is therefore a logical step towards the future, enabling you to optimize your plant’s productivity and performance using predictive models that faithfully reflect the real thing.

In cooperation with PSE, we are taking another step towards model-based plant operation using technologies that perfectly complement each other. This is digitalization in its truest sense.
Eckard Eberle, CEO of the Process Automation Business Unit, Siemens AG
Strategic partnership between Siemens and PSE

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Model-based plant operation

Ensuring a consistent data flow in the plant

Working with PSE, Siemens will make a new series of model-based solutions available. This technology covers the entire lifecycle of your plant. This means: long-term device and status monitoring, soft-sensing, prediction of future performance as well as real-time optimization and operator training based on predictive models using real-time and historical plant data. As the plant operator, you benefit from optimized production processes based on real-time information and an improved foundation for decision-making, for example, by being able to calculate the remaining service life. 
Seamless transition between process cycles

Make the most of your plant’s full potential.

Flexible production that is easy on resources as well as shorter times-to-market coupled with increased efficiency and consistently high quality are key demands in the process industry. The foundation for this is consistent data, which not only improves engineering workflows but also creates a foundation for accurate plant models. These support operators when it comes to planning and commissioning, from the process to the field and automation level, and monitoring. 

Collate data and resolve any deviations

Mathematical estimation processes are combined with current and historical data to provide long-term status monitoring. This will record any anomalies in the core components and process parameters (catalyst activity, coke build-up in furnaces, heat transfer coefficients in heat exchangers, etc.) – and form the basis for optimized maintenance planning.

Evaluate real-time data and make use of decision-making aids

The process model is combined with real-time plant data in order to obtain accurate real-time values for KPIs that are difficult to measure. These can help the operator with decision-making, e.g. when conversion work or revenue checks are being performed.

Simulate operating scenarios and plan countermeasures

A model with a current plant status, based on long-term monitoring, is used to simulate future operating scenarios. Hypothetical operating scenarios can be simulated in this way, e.g. to accurately predict the end of the service life of a furnace or catalyst regeneration times for reactors.

Determine process values and improve performance

The model is used to determine the optimum computed values for process parameters within the plant. This can help maximize economic performance (i.e. profit) in real time.

Train employees and minimize risks

The high-precision process model in gPROMS can be used as part of the existing PCS 7/SIMIT operator training to make it even more realistic.

Use Cases

See how simulation models can control and improve your processes.

Model-based solutions shorten the time between the development and introduction of new products, and help improve plant performance across all sectors of industry.
Portfolio

From integrated engineering to integrated operations

Building up a store of consistent data is an important precondition for a model-based process plant. Integrating gPROMS, SIMIT, COMOS and SIMATIC PCS 7 throughout will permit a consistent data flow for the entire lifecycle of your plant.

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Improve efficiency and cost-effectiveness using simulation models

We can help you tap your plant’s full potential by improving productivity, reducing maintenance intervals, and cutting your power consumption at the same time – all thanks to model-based technologies for plant operation.

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