Influence of Aging Derivatives on Properties of Natural Ester Oil
C. Subalaksmi1, M. Bakrutheen2, M. Willjuice Iruthayarajan3
1C. Subalakshmi*, Department of EEE, National Engineering College, Kovilpatti, India.
2M. Bakrutheen, Department of EEE, National Engineering College, Kovilpatti, India.
3M. Willjuice Iruthayarajan, Department of EEE, National Engineering College, Kovilpatti, India.
Manuscript received on January 18, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2597-2600 | Volume-9 Issue-4, February 2020. | Retrieval Number: D2031029420/2020©BEIESP | DOI: 10.35940/ijitee.D2031.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Transformers are the critical component in the power system, which is used for transmission and distribution purposes. Traditionally mineral oil has been used as the liquid insulation medium in the transformer. Owing to poor bio – degradability and availability, it has been widely studied to replace mineral oil with natural ester oil. During the service period of the transformer, oil insulation and paper insulation gets degraded due to aging. This aging results in the formation of furanic compounds in the oil insulation, which will affect the performance of oil insulation and thus the transformer life. In this proposed work, an effort is made to analyze the critical parameters before and after the inclusion of an aging derivative of 2–furfuraldehyde (2-FAL). 2-FAL has been added in the proportion of 20 ppm to investigate the oil’s properties such as breakdown voltage, viscosity, flash point, fire point, and peak absorbance of the UV spectrum. It is observed that there is a lesser impact on the properties with the addition of 20ppm of 2-FAL. Hence it is suggested that the various concentration of 2-FAL may be added to check the quality of oil for further applications.
Keywords: Power Transformer, Insulating Oil, Natural Ester, Furfuraldehyde.
Scope of the Article: Natural Language Processing