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EDA-Based Optimization of Blow-Off Valve Positions for Centrifugal Compressor Systems

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Applications of Evolutionary Computation (EvoApplications 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12694))

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Abstract

Designing actuators is an important part of automation technology and indispensable for the operation of plants in process industry. This also applies to valves which are important actuators of compressor systems. Compressor systems have a high degree of complexity due to the interconnection of many different components. Often simulation environments are used to test already designed actuators. In this study we show how a digital twin of a compressor system in combination with an Estimation of Distribution (EDA) algorithm can be used to facilitate the valve design. In addition, the installation position in the plant is determined in order to achieve a desired operating behaviour during an emergency shutdown.

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Author information

Authors and Affiliations

  1. AviComp Controls GmbH, Leipzig, Germany

    Jacob Spindler, Rico Schulze & Kevin Schleifer

  2. HTWK University of Applied Sciences, Leipzig, Germany

    Jacob Spindler & Hendrik Richter

Authors
  1. Jacob Spindler
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  2. Rico Schulze
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  3. Kevin Schleifer
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  4. Hendrik Richter
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Corresponding author

Correspondence to Hendrik Richter .

Editor information

Editors and Affiliations

  1. ETSIIT-CITIC, University of Granada, Granada, Spain

    Pedro A. Castillo

  2. Université Le Havre Normandie, Le Havre, France

    Juan Luis Jiménez Laredo

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Spindler, J., Schulze, R., Schleifer, K., Richter, H. (2021). EDA-Based Optimization of Blow-Off Valve Positions for Centrifugal Compressor Systems. In: Castillo, P.A., Jiménez Laredo, J.L. (eds) Applications of Evolutionary Computation. EvoApplications 2021. Lecture Notes in Computer Science(), vol 12694. Springer, Cham. https://doi.org/10.1007/978-3-030-72699-7_28

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  • DOI: https://doi.org/10.1007/978-3-030-72699-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72698-0

  • Online ISBN: 978-3-030-72699-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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