复合型横流闭式冷却塔冷却性能的数值模拟 

杨卫波 夏莉 孙念心

扬州大学电气与能源动力工程学院 

摘 

要：

为了获得不同参数对风冷蒸发复合型横流闭式塔冷却性能的影响， 

建立了塔内不同换热区域的热湿传递 

方程， 

模拟了结构和运行参数对复合塔冷却性能的影响。 

结果表明： 

对于结构参数， 

单排盘管根数与单根管长度的 

增加有助于提高冷却效率， 

而增加排管间距会降低冷却效率。且翅片管排数所占比值越大， 

复合型塔的冷却性能 

越差。 

就运行参数而言， 

随空气流量与喷淋水量的增加及空气湿球温度的升高， 

冷却效率提高。 

而冷却水流量的增 

加会导致冷却效率的降低。 

关键词：

风冷蒸发 

复合型 

横流冷却塔 

冷却性能 

数值模拟 

Numerical

Simulation

of

Cooling

Performance 

of

Composite

Cross­flow

Closed

Cooling

Tower

YANG

Wei­bo,

XIA

Li,

SUN

Nian­xin 

College

of

Electrical,

Energy

and

Power

Engineering,

Yangzhou

University 

Abstract:

In

order

to

obtain

the

effects

of

different

parameters

on

cooling

performance

of

the

composite

cross­flow 

closed

cooling

tower

with

air

and

evaporating

cooling,

the

heat

and

mass

transfer

equations

in

various

heat

exchange 

regions

are

established.

The

influences

of

the

structural

and

operating

parameters

on

the

cooling

performance

of

the 

composite

cooling

tower

are

numerically

simulated.

The

results

show

that

for

the

structural

parameters,

the

increase

of 

the

number

of

single

row

coils

and

the

length

of

single

tube

is

helpful

to

improve

the

cooling

efficiency,

while

increasing 

the

distance

between

the

rows

of

tubes

will

reduce

the

cooling

efficiency.The

larger

the

ratio

of

fin

tube

rows,

the

worse 

the

cooling

performance

of

the

composite

tower.

In

terms

of

operating

parameters,

the

cooling

efficiency

increases

with 

the

increase

of

air

flow,

spray

water

volume

and

air

wet

bulb

temperature,

while

the

increase

of

cooling

water

flow

will 

lead

to

the

decrease

of

cooling

efficiency. 

Keywords:

air­evaporation

cooling;

composite;

cross­flow

cooling

tower;

cooling

performance;

numerical

simulation 

收稿日期：

2020­1­8 

作者简介：

杨卫波 

（

1975~

）

， 

博士， 

教授； 

扬州大学电气与能源动力工程学院建筑环境与设备工程教研室 

（

225127

）

； 

E­mail:

****************** 

基金项目：

扬州市科技计划项目 

（

YZ2019135

）

； 

国家自然科学基金项目 

（

No.51978599