OpenFOAM® pp 173-181 | Cite as

Floating Potential Boundary Condition in OpenFOAM\(^{\textregistered }\)

  • Nils Lavesson
  • Tor LanerydEmail author


In OpenFOAM\(^{\textregistered }\), the powerful CFD solver can be combined with an electrostatic solver, allowing multiphysics analysis on the same mesh within the same numerical framework, which offers advantages for applications in high voltage power devices. One important piece of missing functionality in OpenFOAM\(^{\textregistered }\) is a boundary condition for the electrostatic solver that can apply a floating potential to conducting parts that are not connected to any fixed potential and should be treated as an equipotential surface of undefined potential. This chapter describes the theoretical background and an OpenFOAM\(^{\textregistered }\) implementation of a numerical algorithm that can accurately solve the electrostatic problem for a domain that includes several floating potentials.


  1. 1.
    Chakravorti S, Steinbigler H (1998) Capacitive-resistive field calculation on HV bushings using the boundary-element method. IEEE Trans Dielectr Electr Insul 5(2):237–244CrossRefGoogle Scholar
  2. 2.
    Graham JS (2001) High Voltage Bushings. In: Ryan HM (ed) High voltage engineering and testing, 2nd edn. The Institution of Electrical Engineers, LondonGoogle Scholar
  3. 3.
    Hesamzadeh MR, Hosseinzadeh N, Wolfs P (2008) An advanced optimal approach for high voltage AC bushing design. IEEE Trans Dielectr Electr Insul 15(2):461–466CrossRefGoogle Scholar
  4. 4.
    Jackson JD (1999) Classical Electrodynamics. 3rd edn. John Wiley & Sons, New York, p 40–43zbMATHGoogle Scholar
  5. 5.
    Jonsson L, Johansson R (2009) High-voltage bushings. ABB review 3:66–70Google Scholar
  6. 6.
    Li N et al (2015) Electric field analysis and optimal design of inner electrodes for HVDC wall bushing. Paper presented at the 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM), UNSW, Sydney, Australia, 19–22 Jul 2015Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.ABB Corporate ResearchVästeråsSweden

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