Controlling Factors of Degassing in Crosslinked Polyethylene Insulated Cables
KAUST DepartmentPhysical Sciences and Engineering (PSE) Division
Upstream Petroleum Engineering Research Center (UPERC)
Earth Science and Engineering Program
KAUST Grant NumberAward 2993
Permanent link to this recordhttp://hdl.handle.net/10754/656696
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AbstractHere, we analyze the degassing process of a byproduct (methane) formed during the peroxide-induced crosslinking of polyethylene. A diffusion model based on Fick’s law is used to obtain the controlling factors of degassing in a crosslinked polyethylene (XLPE) insulated power cable (132 kV with 18 mm of insulation). We quantitatively analyze different scenarios of the diffusion of methane through the XLPE insulation and two semiconductor layers under various in situ degassing conditions. The analyzed degassing conditions include heat transfer and its effect on the diffusion properties, the different transport and boundary conditions due to the free spaces within the cable conductor, and the nonuniform distribution of methane concentrations within the insulation layers. Our simulation results clearly demonstrate that the free spaces between the copper strands in the cable conductor significantly affect the degassing efficiency. However, the temperature-diffusion coupling has a relatively minor effect on the overall degassing efficiency due to the rapid temperature increase of the polymer layers during the initial stages of degassing. Moreover, we find that the nonuniform distribution of methane in the initial stages also plays an important role in degassing in the cable, but this effect varies significantly during the degassing process.
SponsorsThis research was supported by The Dow Chemical Company, and the authors would like to express their sincere appreciation for the support. Jozef Van Dun and Jerker Kjellqvist at The Dow Chemical Company are acknowledged for the fruitful discussions.
Funding: This project received funding from The Dow Chemical Company, and this publication was partly based on work supported by the KAUST Office of Sponsored Research (OSR) under Award 2993.