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  6. gUTILITIES: A modeling tool for optimizing utility services.

gUTILITIES: A modeling tool for optimizing utility services.

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gUTILITIES

last updated:Jan 05, 2021

シーメンス株式会社  gPROMS ポートフォリオ
シーメンス株式会社 gPROMS ポートフォリオ
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Modeling tool for the management and optimization of utilities. It explores and presents better economic utility plans even for complex utility systems.

In the plant, various utilities such as fuel, electricity, and steam are consumed through multiple routes, fluctuating constantly. In process plants, there may also be self-production of steam and fuel or selling electricity. The energy unit of each utility varies hourly, and factors such as maintenance of major equipment failures fluctuate daily, making the issues even more complex. gUTILITIES provides a strictly optimized solution while considering the current utility demand, utility unit costs, and availability, allowing for the determination of appropriate operating conditions even for complex utility systems. Cutting-edge optimization algorithms can search for and present better economic utility plans compared to traditional tools. <Features> - Major libraries including gas turbines, boilers, and steam turbines - Flow sheet creation via drag-and-drop - A powerful, fast, and robust framework for optimization - High-speed processing enabled by equation-based solvers - Preprocessing of raw data through data reconciliation - Real-time advice for operators - Utility planner and advisor screens are easy to read and customizable.

    simulator
gUTILITIES.png

gUTILITIES: A modeling tool for optimizing utility services.

gUTILITIES.png
gUTILITIES.png
  • Related Link - https://www.psenterprise.com/solutions/gutilities

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basic information

gUTILITIES is a cutting-edge platform for the management and optimization of utilities, aimed at minimizing utility costs and emissions by optimizing production and maintaining an appropriate energy balance in refineries and chemical plants. By utilizing the Engineering View, Planner View, and Advisor View, it is easy to construct a utility system model. This allows for planning and monitoring the most economical plant operations while satisfying all constraints. <Effects and Benefits> - 2-10% reduction in energy costs - On-site implementation within 3-4 months - Proven payback in less than 9 months - Real-time advice for operators - Minimization of utility costs and emissions through production optimization in chemical plants and refineries - Flexibility in implementation (integration with SCADA/DCS, web applications, and Excel)

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Delivery Time

P3

※This is the delivery date after the licensing agreement. If you have any other questions, please feel free to contact us.

Applications/Examples of results

For oil, gas, chemical, and petrochemical processes.

catalog(5)

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Modeling Tool for Optimal Resource Utilization 'gUTILITY'

Modeling Tool for Optimal Resource Utilization 'gUTILITY'

PRODUCT
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gUTILITY Modeling Tool for Role Optimization

gUTILITY Modeling Tool for Role Optimization

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Technical Data: gPROMS Process

Technical Data: gPROMS Process

TECHNICAL
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<Example> Overall Plant Optimization gPROMS ProcessBuilder

<Example> Overall Plant Optimization gPROMS ProcessBuilder

TECHNICAL
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<Case> Optimization of Batch Processes gPROMS ProcessBuilder

<Case> Optimization of Batch Processes gPROMS ProcessBuilder

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Company information

シーメンス株式会社

シーメンス株式会社 gPROMS ポートフォリオ

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Founded in 1997 by the gPROMS development team at Imperial College London, PSE became part of the Siemens Group in 2019 and has been providing products and services in Japan as Siemens Corporation since 2023. gPROMS features a powerful equation-based computation engine that differs from traditional simulators, allowing for seamless handling of both steady-state and dynamic simulations. This enables the effective scaling up of models adjusted with experimental data from batch processing for the design and operational optimization of continuous processing plants. With gPROMS's excellent capabilities in custom modeling, parameter estimation, and optimization, it is possible to quickly build optimal manufacturing processes, resolve issues, and achieve optimization.

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