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Research Article

Numerical and experimental investigation of a novel liquid upper-feeding micro-channel flat loop thermosyphon cooling and heat recovery system

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Pages 399-412 | Received 12 Jan 2023, Accepted 23 Mar 2023, Published online: 29 Mar 2023
 

ABSTRACT

A novel liquid upper-feeding micro-channel flat loop thermosyphon (LUF-MCFLTS) system was developed, to eliminate the drying phenomenon of the upper surface in the traditional LTS and provide a highly efficient solution for DC cooling and heat recovery. The effects of cooling capacity (cooling water flow rate and temperature), heat load, and filling ratio on the heat transfer performance of the LUF-MCFLTS system are investigated experimentally. The results indicated that with the increase in cooling water flow, the decrease in cooling water temperature, and the increase in heat load, the heat transfer performance of the LUF-MCFLTS system was better. Under a heat load of 500 W, a cooling water flow rate of 600 L/h, and a cooling water temperature of 15°C, the heat recovery efficiency could reach 86.28%. Compared with the MCFTS and MCFLTS systems in literature, the recovery efficiency of the LUF-MCFLTS system could be increased by 31.6% and 2.64%, respectively. In addition, an effective numerical model to predict the heat recovery efficiency of the LUF-MCFLTS system with the experimental data in the 2.07% error band has been established. This work provides a new idea and theoretical basis for the design of DC cooling and heat recovery system.

Nomenclature

A=

area (m2)

cp=

specific heat (J/(kg·K))

hfg=

latent heat (J/kg)

h=

convective heat transfer coefficient (W/m2K)

I=

current (A)

L=

length (m)

m=

mass flow rate (kg/s)

N=

number

Nu=

Nusselt number

Pr=

Prandtl number

PIT=

heat load (W)

P=

pressure (Pa)

Q=

energy (W)

R0=

universal gas constant

r=

radius (m)

Re=

Reynolds number

R=

thermal resistance (K/W)

T=

temperature (K)

t=

time (s)

U=

voltage (V)

v=

velocity (m/s)

wxn=

deviation value of the dependent variable

w=

width (m)

xn=

true value of the dependent variable

Greek symbols=
σ=

surface tension coefficient (N/m)

λ=

thermal conductivity (W/(m·K))

ρ=

density (kg/m3)

ω=

uncertainty

δ=

thickness (m)

ε=

emissivity [W/(m2K4)]

μ=

dynamic viscosity [kg/(m·s))]

η=

efficiency

Subscripts=
amb=

ambient

c=

condenser

cw=

condenser wall

cl=

condensed liquid film

DC=

data center

e=

evaporator

ew=

evaporator wall

GWP=

Global warming potential

h=

heat exchanger

IT=

information technology

gr=

groove

LUF=

liquid upper-feeding

LTS=

loop thermosiphon

lrl=

liquid return line

l=

liquid

ltl=

liquid transmission line

MCFTS=

micro channel flat thermosiphon

MCFLTS=

micro-channel flat loop thermosiphon

ODP=

Destroy ozone potential

PVC=

polyvinyl chloride

TS=

thermosyphon

tg=

thermal grease

vtl=

vapor transmission line

v=

vapor

vf=

vapor flow

w=

water

wr=

wick resistance

Acknowledgements

This work was supported by the Department of Science and Technology of Guangdong Province, China [2019A050509008] and European Commission H2020-MSCA-IF-2018 Programme [835778-LHP-C-H-PLATE-4-D].

Data availability statement

The participants of this study did not give written consent for their data to be shared publicly, so due to the sensitive nature of the research supporting data is not available.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work was supported by the European Commission [835778-LHP-C-H-PLATE-4-D]; Guangdong Science and Technology Department [2019A050509008]

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