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Simulation-Based Design and Evaluation of a Smart Energy Manager

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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Abstract

In this work we describe an advanced development environment for energy management systems using a combination of a Modelica-based simulation tool for multi-physics systems and a controller implemented in the Python scripting language, exchanging information via the FMI (Functional Mockup Interface) standard. As an example, we present the development of a simple but robust Electric Vehicle (EV) charging controller for a smart home with a Photo Voltaic system. The performance of the controller is evaluated using conventional criteria like annual energy costs and peak load plus two newly developed customer satisfaction indicator (CSI) functions.

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References

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Author information

Authors and Affiliations

  1. Honda Research Institute Europe, Offenbach, Germany

    Tobias Rodemann

  2. Department of Systems and Control Engineering, Tokyo Institute of Technology, Tokyo, Japan

    Kai Kitamura

Authors
  1. Tobias Rodemann
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  2. Kai Kitamura
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Corresponding author

Correspondence to Tobias Rodemann .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Rodemann, T., Kitamura, K. (2020). Simulation-Based Design and Evaluation of a Smart Energy Manager. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_61

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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