2021
DOI: 10.1109/temc.2021.3059365
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Estimation of Contact Resistivity in Lightning Protection Equipotential Bonding Joints of Wind Turbine Blades

Abstract: Modern lightning protection systems for wind turbine blades with conducting structural elements, e.g., carbon fibre reinforced polymer (CFRP) spar caps, contain equipotential bonding joints to prevent sparking during strikes. Significant current levels are experienced through the joints and the characterization of the electrical contact at the bonding regions is essential for reliable protection. Therefore, this article aims to characterize the contact resistivity of several equipotential bonding joints. The p… Show more

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Cited by 5 publications
(6 citation statements)
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“…The anisotropic electrical conductivities of both UD CFRP and BIAX CFRP were experimentally measured according to the procedures presented in [28]. The values of contact resistivity for BIAX EB joints are taken from [18]. The relative permittivity was assumed equal to 1 for both copper and…”
Section: Materials Propertiesmentioning
confidence: 99%
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“…The anisotropic electrical conductivities of both UD CFRP and BIAX CFRP were experimentally measured according to the procedures presented in [28]. The values of contact resistivity for BIAX EB joints are taken from [18]. The relative permittivity was assumed equal to 1 for both copper and…”
Section: Materials Propertiesmentioning
confidence: 99%
“…This is due to the fact that the spar conducts the lightning current for a short interval [13,14,46], as well as because the test sample presents EB layers over the spar chamfered surfaces. This allows the current to be injected through the entire spar cross-section, which reduces the Joule heating due to the CFRP anisotropy [18]. As the spar maximum temperature is considerably below the temperature dependence range of CFRP electrical and thermal conductivities [40,74], the weak coupling between the electromagnetic and heat transfer problems is a valid approach to model lightning strikes to wind turbine blades.…”
Section: Temperature Distribution Within the Wind Turbine Bladementioning
confidence: 99%
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