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DC Decoupler Modelling To Predict The Effects Of Capacitance On CP Potential Surveys

Extensive and increased collocation of high voltage AC (HVAC) electrical transmission lines, coupled with advances in coating technology, has resulted in the emergence of the possibility of transfer of electrical energy from the HVAC line to paralleling utilities through electrical induction. That transfer of energy can result in safety risks for personnel, as well as corrosion risks for below grade assets. In order to mitigate those risks, operators ground the induced AC using grounding electrodes, typically consisting of bare copper cabling or zinc ribbon.

Product Number: 51322-17839-SG
Author: Alex Ristow, Mike Tachick
Publication Date: 2022
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$20.00
$20.00

New DC decoupling technology provides operators with a solution to capacitance-related data accuracy challenges seen with traditional devices when recording structure to electrolyte potentials. When CP current sources are interrupted for systems that utilize DC decouplers, the capacitors discharge. If structure to electrolyte potentials are taken prior to full discharge, data inaccuracies can result. Data accuracy challenges have historically been difficult to predict definitively, which can present challenges in selecting the appropriate device prior to mitigation installation. Computer modelling in the mitigation design phase can proactively predict the magnitude of capacitance and rate of capacitive discharge. Further, different interruption cycles and their effect on capacitive discharge can be analyzed to determine the magnitude of the issue, so the optimal DC decoupler can be chosen, minimizing project inefficiencies and costs.

New DC decoupling technology provides operators with a solution to capacitance-related data accuracy challenges seen with traditional devices when recording structure to electrolyte potentials. When CP current sources are interrupted for systems that utilize DC decouplers, the capacitors discharge. If structure to electrolyte potentials are taken prior to full discharge, data inaccuracies can result. Data accuracy challenges have historically been difficult to predict definitively, which can present challenges in selecting the appropriate device prior to mitigation installation. Computer modelling in the mitigation design phase can proactively predict the magnitude of capacitance and rate of capacitive discharge. Further, different interruption cycles and their effect on capacitive discharge can be analyzed to determine the magnitude of the issue, so the optimal DC decoupler can be chosen, minimizing project inefficiencies and costs.

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