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Electrical Engineering

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28-11-2019 | Original Paper

Analysis and design of nanofluid-filled power transformers

Authors: Xinsheng Yang, S. L. Ho, Weinong Fu, Yunpeng Zhang, Guizhi Xu, Qingxin Yang, Wanjun Deng

Published in: Electrical Engineering | Issue 1/2020

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Abstract

To alleviate the adverse impact due to the deterioration of electrical insulation, this paper presents an electromagnetic-thermal-fluid analysis for the prediction of temperature distribution in transformers with oil-based nanofluids or pure oil. The core loss and copper loss are taken as the heat sources for the temperature analysis using computational fluid dynamics. To strive for computing the temperature distribution accurately in the nano-oil, an effective numerical method using finite volume method and improved physical parameter model are employed. Numerical simulation of the thermal performance of the nanofluid with different volumetric fractions with Al₂O₃ nanoparticles is compared with those using pure transformer oil in a 500 VA single-phase transformer. From the comparisons of the simulation results, it is found that the volumetric fraction 0.01% is an optimum concentration in reducing the transformer size for the same power rating. The observation is served as useful guidelines and detailed process for the design of oil-based power transformers.

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Ahn H-M, Lee B-J, Hahn S-C (2011) An efficient investigation of coupled electromagnetic-thermal-fluid numerical model for temperature rise prediction of power transformer. In: 2011 International conference on electrical machines and systems (ICEMS), 2011. IEEE, pp 1–4

Arabul AY, Senol I (2018) Development of a hot-spot temperature calculation method for the loss of life estimation of an ONAN distribution transformer. Electr Eng 100(3):1651–1659. https://doi.org/10.1007/s00202-017-0641-0 CrossRef

Park T-W, Han SH (2015) Numerical analysis of local hot-spot temperatures in transformer windings by using alternative dielectric fluids. Electr Eng 97(4):261–268. https://doi.org/10.1007/s00202-015-0335-4 CrossRef

Shiri A, Gholami A, Shoulaie A (2011) Investigation of the ambient temperature effects on transformer’s insulation life. Electr Eng 93(3):193. https://doi.org/10.1007/s00202-011-0202-x CrossRef

Lin D, Zhou P, Fu W, Badics Z, Cendes Z (2004) A dynamic core loss model for soft ferromagnetic and power ferrite materials in transient finite element analysis. IEEE Trans Magn 40(2):1318–1321CrossRef

Choi SUS, Eastman JA (1995) Enhancing thermal conductivity of fluids with nanoparticles. Paper presented at the conference: 1995 International mechanical engineering congress and exhibition, San Francisco CA, United States, 12–17 Nov 1995; Other Information: PBD: Oct 1995

Fu W, Ho SL, Li HL, Wong HC (2002) An effective method to reduce the computing time of nonlinear time-stepping finite-element magnetic field computation. IEEE Trans Magn 38(2):441–444. https://doi.org/10.1109/20.996117 CrossRef

Belahcen A, Arkkio A (2008) Comprehensive dynamic loss model of electrical steel applied to FE simulation of electrical machines. IEEE Trans Magn 44(6):886–889. https://doi.org/10.1109/TMAG.2007.916358 CrossRefMATH

Fu W, Ho SL, Zhou P (2012) Reduction of computing time for steady-state solutions of magnetic field and circuit coupled problems using time-domain finite-element method. IEEE Trans Magn 48(11):3363–3366. https://doi.org/10.1109/TMAG.2012.2199285 CrossRef

10.

Niu S, Fu W, Ho SL (2015) Nonlinear convergence acceleration of magnetic field computation. IEEE Trans Magn 51(11):1–4. https://doi.org/10.1109/TMAG.2015.2445342 CrossRef

11.

Bertotti G, Fiorillo F, Soardo G (1987) Dependence of power losses on peak magnetization and magnetization frequency in grain-oriented and non-oriented 3% SiFe. IEEE Trans Magn 23(5):3520–3522. https://doi.org/10.1109/TMAG.1987.1065758 CrossRef

12.

Li L, Fu W, Ho SL, Niu S, Li Y (2015) A quantitative comparison study of power-electronic-driven flux-modulated machines using magnetic field and thermal field co-simulation. IEEE Trans Ind Electron 62(10):6076–6084. https://doi.org/10.1109/TIE.2015.2420039 CrossRef

13.

Fu W, Ho S (2009) Matrix analysis of 2-D eddy-current magnetic fields. IEEE Trans Magn 45(9):3343–3350CrossRef

14.

Weili L, Yu Z, Yuhong C (2011) Calculation and analysis of heat transfer coefficients and temperature fields of air-cooled large hydro-generator rotor excitation windings. IEEE Trans Energy Convers 26(3):946–952CrossRef

15.

Torriano F, Chaaban M, Picher P (2010) Numerical study of parameters affecting the temperature distribution in a disc-type transformer winding. Appl Therm Eng 30(14):2034–2044. https://doi.org/10.1016/j.applthermaleng.2010.05.004 CrossRef

16.

Nategh S, Huang Z, Krings A, Wallmark O, Leksell M (2013) Thermal modeling of directly cooled electric machines using lumped parameter and limited CFD analysis. IEEE Trans Energy Convers 28(4):979–990. https://doi.org/10.1109/TEC.2013.2283089 CrossRef

17.

Li L, Niu S, Ho SL, Fu W, Li Y (2015) A novel approach to investigate the hot-spot temperature rise in power transformers. IEEE Trans Magn 51(3):1–4. https://doi.org/10.1109/TMAG.2014.2359956 CrossRef

18.

Li L, Fu W, Ho SL, Niu S, Li Y (2014) Numerical analysis and optimization of lobe-type magnetic shielding in a 334 MVA single-phase auto-transformer. IEEE Trans Magn 50(11):1–4. https://doi.org/10.1109/TMAG.2014.2326465 CrossRef

19.

Dong M, Dai J, Li Y, Xie J, Ren M, Dang Z (2017) Insight into the dielectric response of transformer oil-based nanofluids. AIP Adv 7(2):025307. https://doi.org/10.1063/1.4977481 CrossRef

20.

Khaled U, Beroual A (2018) AC dielectric strength of mineral oil-based Fe₃O₄ and Al₂O₃ nanofluids. Energies 11(12):3505CrossRef

21.

Choi C, Yoo HS, Oh JM (2008) Preparation and heat transfer properties of nanoparticle-in-transformer oil dispersions as advanced energy-efficient coolants. Curr Appl Phys 8(6):710–712. https://doi.org/10.1016/j.cap.2007.04.060 CrossRef

22.

Sui J, Zheng L, Zhang X, Chen Y, Cheng Z (2016) A novel equivalent agglomeration model for heat conduction enhancement in nanofluids. Sci Rep 6:19560. https://doi.org/10.1038/srep19560 CrossRef

23.

Aman S, Khan I, Ismail Z, Salleh MZ, Al-Mdallal QM (2017) Heat transfer enhancement in free convection flow of CNTs Maxwell nanofluids with four different types of molecular liquids. Sci Rep 7(1):2445. https://doi.org/10.1038/s41598-017-01358-3 CrossRef

24.

Prasher R, Bhattacharya P, Phelan PE (2005) Thermal conductivity of nanoscale colloidal solutions (nanofluids). Phys Rev Lett 94(2):025901CrossRef

25.

Xuan Y, Li Q, Hu W (2003) Aggregation structure and thermal conductivity of nanofluids. AIChE J 49(4):1038–1043CrossRef

26.

Jang SP, Choi SU (2004) Role of Brownian motion in the enhanced thermal conductivity of nanofluids. Appl Phys Lett 84(21):4316–4318CrossRef

27.

Chebbi R (2017) A theoretical model for thermal conductivity of nanofluids. Mater Express 7(1):51–58CrossRef

28.

Nguyen C, Desgranges F, Galanis N, Roy G, Maré T, Boucher S, Mintsa HA (2008) Viscosity data for Al₂O₃–water nanofluid—hysteresis: is heat transfer enhancement using nanofluids reliable? Int J Therm Sci 47(2):103–111CrossRef

Title: Analysis and design of nanofluid-filled power transformers
Authors: Xinsheng Yang
S. L. Ho
Weinong Fu
Yunpeng Zhang
Guizhi Xu
Qingxin Yang
Wanjun Deng
Publication date: 28-11-2019
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 1/2020
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-019-00877-8

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