Research Papers

Novel Heat Sink Design Utilizing Ionic Wind for Efficient Passive Thermal Management of Grid-Scale Power Routers

[+] Author and Article Information
Noris Gallandat

Department of Mechanical Engineering,
The George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332

J. Rhett Mayor

Associate Professor
Department of Mechanical Engineering,
The George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: rhett.mayor@me.gatech.edu

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS. Manuscript received December 12, 2014; final manuscript received February 20, 2015; published online April 8, 2015. Assoc. Editor: Gamal Refai-Ahmed.

J. Thermal Sci. Eng. Appl 7(3), 031004 (Sep 01, 2015) (8 pages) Paper No: TSEA-14-1278; doi: 10.1115/1.4030105 History: Received December 12, 2014; Revised February 20, 2015; Online April 08, 2015

This paper presents a numerical model assessing the potential of ionic wind as a heat transfer enhancement method for the cooling of grid distribution assets. Distribution scale power routers (13–37 kV, 1–10 MW) have stringent requirements regarding lifetime and reliability, so that any cooling technique involving moving parts such as fans or pumps are not viable. A new heat sink design combining corona electrodes with bonded fin arrays is presented. The model of the suggested design is solved numerically. It is predicted that applying a voltage of 5 kV on the corona electrodes could increase the heat removed by a factor of five as compared to natural convection.

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Fig. 1

Principles of ionic wind generation

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Fig. 2

Implementation of ionic wind for enhanced passive thermal management of grid-scale power routers

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Fig. 3

Control volumes for the solution of the electrodynamic problem (ionic wind generator—control volume I) and for the thermofluidic problem (heat exchanger channel—control volume II)

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Fig. 4

Boundary conditions applied to the potential Φ in the control volume I

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Fig. 5

Boundary conditions applied in the control volume II

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Fig. 6

Electric field in the ionic wind generator at a voltage of 4000 V

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Fig. 7

Ions density in the ionic wind generator at a voltage of 4000 V

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Fig. 8

Convergence of the numerical scheme at a voltage of 4000 V

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Fig. 9

Body force in horizontal direction at a voltage of 4000 V

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Fig. 10

Body force in vertical direction at a voltage of 4000 V

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Fig. 11

Velocity profile at the entrance of the heat exchanger channel. The coordinate x = 0 corresponds to the center of the channel, while x = 3.15 corresponds to the wall.

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Fig. 12

Average and maximal velocity at the entrance of the heat exchanger channel. The uncertainty is carried on from Ref. [13].

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Fig. 13

Average heat flux over the heat exchanger channel at different voltages compared to the case with natural convection only. The values for the mass flow rate used in Eq. (11) correspond to the linear fit in Fig. 12.



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