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14
CHAPTER SIX WIND IN BUILDING ENVIRONMENT DESIGN Qingyan Chen INTRODUCTION Wind can be a building’s “friend” because it can naturally ventilate the building, providing a comfortable and healthy indoor environment, as well as saving energy. Conventional design approaches often ignore opportunities for innovations with wind that could condition buildings at a lower cost, while providing higher air quality and an acceptable thermal-comfort level by means of passive cooling or natural ventilation. Natural ventilation can be used for cooling in the spring and autumn for a moderate climate (e.g., Nashville, TN), the spring for a hot and dry climate (e.g., Phoenix, AZ), the summer for a cold climate (e.g., Portland, ME), and the spring and summer for a mild climate (e.g., Seattle, WA). Natural ventilation can also be used to cool environments in a hot and humid climate during part of the year (e.g., New Orleans, LA) (Lechner 2000). On the other hand, wind can be a building’s “enemy” when it causes discomfort to pedestrians, usually as a result of high wind speed around the building. Table 1 summarizes the effects of wind on people. The wind speed is normally referred to as the speed of wind at ten meters above an open terrain. The wind speed at pedestrian level is roughly 70 percent of the tabulated values. Visser (1980) proposed comfort criteria with different activities versus the frequency of wind speed higher than five meters per second, as shown in Table 2.
Transcript
Page 1: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

CHAP

TER

SIX

WIN

D IN

BU

ILDI

NG

EN

VIRO

NM

ENT

DESI

GN

Qin

gyan

Che

n

INTR

ODU

CTIO

N

Win

d ca

n be

a b

uild

ing’

s “fr

iend

” bec

ause

it c

an n

atur

ally

vent

ilate

the

bui

ldin

g, p

rovi

ding

a c

omfo

rtab

le a

ndhe

alth

y in

door

env

ironm

ent,

as w

ell a

s sa

ving

ene

rgy.

Con

vent

iona

l de

sign

ap

proa

ches

of

ten

igno

reop

port

unit

ies

for

inno

vati

ons

wit

h w

ind

that

cou

ldco

nditi

on b

uild

ings

at

a lo

wer

cos

t, w

hile

pro

vidi

nghi

gher

air

qual

ity a

nd a

n ac

cept

able

the

rmal

-com

fort

leve

l by

mea

ns o

f pas

sive

coo

ling

or n

atur

al v

entil

atio

n.N

atur

al v

entil

atio

n ca

n be

use

d fo

r coo

ling

in th

e sp

ring

and

autu

mn

for a

mod

erat

e cl

imat

e (e

.g.,

Nas

hvill

e, T

N),

the

sprin

g fo

r a

hot

and

dry

clim

ate

(e.g

., Ph

oeni

x, A

Z),

the

sum

mer

for

a c

old

clim

ate

(e.g

., Po

rtla

nd, M

E), a

ndth

e sp

ring

and

sum

mer

for

a m

ild c

limat

e (e

.g.,

Seat

tle,

WA)

. N

atur

al v

enti

lati

on c

an a

lso

be u

sed

to c

ool

envi

ronm

ents

in a

hot

and

hum

id c

limat

e du

ring

part

of

the

year

(e.g

., N

ew O

rlean

s, LA

) (Le

chne

r 200

0).

On

the

othe

r han

d, w

ind

can

be a

bui

ldin

g’s “

enem

y”w

hen

it ca

uses

dis

com

fort

to

pede

stria

ns, u

sual

ly a

s a

resu

lt of

hig

h w

ind

spee

d ar

ound

the

bui

ldin

g. T

able

1su

mm

ariz

es t

he e

ffec

ts o

f w

ind

on p

eopl

e. T

he w

ind

spee

d is

nor

mal

ly re

ferr

ed to

as t

he sp

eed

of w

ind

at te

nm

eter

s ab

ove

an o

pen

terr

ain.

The

win

d sp

eed

atpe

dest

rian

leve

l is

roug

hly

70 p

erce

nt o

f th

e ta

bula

ted

valu

es.

Viss

er (

1980

) pr

opos

ed c

omfo

rt c

riter

ia w

ithdi

ffer

ent

activ

ities

ver

sus

the

freq

uenc

y of

win

d sp

eed

high

er th

an fi

ve m

eter

s per

seco

nd, a

s sho

wn

in T

able

2.

yanchen
Text Box
Chen, Q. 2007. "Chapter 6: Wind in building environment design," Sustainable Urban Housing in China, Edited by L.R. Glicksman and J. Lin, Springer.
Page 2: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

101

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

Tabl

e 1

Effe

cts

of w

ind

on p

eopl

e. B

eauf

ort n

umbe

r cla

ssifi

es w

ind

as 0

(cal

m) t

o 12

(hur

rican

e) (S

ourc

e:Bo

ttem

a 19

93)

For e

xam

ple,

in a

n ar

ea w

here

the

num

ber o

f day

s w

ithan

ave

rage

win

d sp

eed

high

er th

an 5

m/s

is 1

50 d

ays p

erye

ar (o

r the

freq

uenc

y of

win

d w

ith a

spee

d hi

gher

than

5 m

/s is

150

day

s/36

5 da

ys x

100

per

cent

= 4

1 pe

rcen

t),

peop

le w

ho w

alk f

ast w

ould

feel

unp

leas

ant.

Clea

rly, w

ind

spee

ds g

reat

er t

han

five

met

ers

per

seco

nd a

reco

nsid

ered

unc

omfo

rtab

le fo

r mos

t act

iviti

es. T

here

fore

,it

is es

sent

ial t

o re

duce

the

win

d sp

eed

arou

nd b

uild

ings

.In

add

ition

, in

a m

ild, m

oder

ate,

and

col

d cl

imat

e, it

is v

ery

impo

rtan

t to

min

imiz

e in

filtr

atio

n of

col

d ai

r int

oth

e bu

ildin

g du

ring

the

win

ter

to r

educ

e w

ind

spee

dar

ound

bui

ldin

gs. T

he r

educ

tion

of w

ind

spee

d ca

n be

achi

eved

by:

avo

idin

g w

indy

loca

tions

suc

h as

hill

tops

;us

ing

win

d ba

rrie

rs li

ke e

verg

reen

veg

etat

ion;

clu

ster

ing

build

ings

for

mut

ual

win

d pr

otec

tion;

and

des

igni

ngbu

ildin

gs w

ith s

trea

mlin

ed s

hape

s an

d ro

unde

d co

rner

sto

bot

h de

flect

the

win

d an

d m

inim

ize

the

surf

ace-

to-

volu

me

ratio

(Lec

hner

200

0).

For

smal

l-sc

ale

build

ings

, th

ere

are

esta

blis

hed

guid

elin

es f

or p

assi

ve s

olar

hea

ting.

How

ever

, nat

ural

vent

ilatio

n an

d ou

tdoo

r the

rmal

com

fort

are

ver

y di

ffic

ult

to d

esig

n, e

ven

in si

mpl

e ca

ses.

The

purp

ose

of th

e pr

esen

tch

apte

r is

to

dem

onst

rate

, w

ith

the

help

of

the

com

puta

tiona

l flu

id d

ynam

ics

(CFD

) te

chni

que,

how

arch

itect

s ca

n w

ork

with

eng

inee

rs t

o de

sign

nat

ural

lyve

ntila

ted

build

ings

and

com

fort

able

out

door

envi

ronm

ents

aro

und

build

ings

.

WIN

D DA

TA

To d

esig

n na

tura

lly v

enti

late

d bu

ildin

gs a

nd/o

rco

mfo

rtab

le o

utdo

or e

nviro

nmen

ts, t

he f

irst

step

is t

oob

tain

relia

ble

win

d in

form

atio

n, su

ch a

s win

d sp

eed

and

dire

ctio

n. F

or e

xam

ple,

the

Nat

iona

l Ren

ewab

le E

nerg

yLa

bora

tory

der

ived

a s

et o

f ty

pica

l m

eteo

rolo

gica

lw

eath

er d

ata

for

229

stat

ions

thr

ough

out

the

Uni

ted

Tabl

e 2

Com

fort

crit

eria

for d

iffer

ent f

requ

ency

(day

/yea

r) w

hen

win

d sp

eed

is h

ighe

r tha

n 5

m/s

(Sou

rce:

Vis

ser 1

980)

Beau

fort

Num

ber

Win

d Sp

eed

Win

d Ef

fect

Desc

ript

ion

Page 3: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

102

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

Figu

re 2

Diu

rnal

and

noc

turn

al a

ir m

ovem

ents

nea

r a la

rge

body

of w

ater

(Sou

rce:

ada

pted

from

Moo

re 1

993)

Stat

es a

nd it

s te

rrito

ries

(Mar

ion

and

Urb

an 1

995)

. The

data

base

pro

vide

s hou

rly w

ind

spee

d an

d di

rect

ions

that

can

be u

sed

dire

ctly

in n

atur

al v

entil

atio

n an

d ou

tdoo

rco

mfo

rt d

esig

n. R

athe

r tha

n ac

coun

ting

for e

very

hou

rin

a f

ull r

efer

ence

yea

r, a

desi

gner

sho

uld

anal

yze

the

data

and

div

ide

it in

to e

ight

dire

ctio

ns (N

, NE,

E, S

E, S

,SW

, W, a

nd N

W) f

or s

ever

al w

ind

spee

ds (e

.g.,

Beau

fort

num

ber

<2,

3-4

, 5-

6, >

7, w

here

Bea

ufor

t nu

mbe

rcl

assi

fies

win

d as

0 f

or c

alm

to

12 f

or h

urric

ane)

. The

wea

ther

dat

a ca

n al

so b

e us

ed t

o de

term

ine

the

perc

enta

ge o

f w

ind

for

each

dir

ecti

on a

nd s

peed

com

bina

tion

(32

in

tota

l). T

he t

otal

num

ber

can

bere

duce

d, e

limin

atin

g th

ose

with

ver

y lo

w p

roba

bilit

ies.

For

coun

trie

s w

here

typ

ical

met

eoro

logi

cal w

eath

erda

ta a

re n

ot a

vaila

ble,

win

d ro

ses

can

be u

sed.

Fig

ure

1sh

ows

a pa

rt o

f th

e w

ind

rose

map

for

nor

thea

ster

nU

nite

d St

ates

in J

anua

ry. T

he w

ind

rose

s gi

ve t

he w

ind

dire

ctio

n an

d pe

rcen

tage

. The

num

ber

insi

de t

he w

ind

rose

sta

nds

for

the

perc

enta

ge o

f ca

lm p

erio

d. N

OAA

(198

3) u

ses

anot

her

figu

re t

o pr

ovid

e th

e m

onth

lyav

erag

e w

ind

spee

d ov

er a

yea

r.N

ote

that

the

win

d da

ta f

rom

wea

ther

dat

abas

es,

win

d ro

ses,

or a

wea

ther

sta

tion

is f

or a

n op

en t

erra

in.

Num

erou

s fa

ctor

s co

uld

have

a s

igni

fican

t im

pact

on

the

loca

l clim

actic

con

ditio

ns. F

or e

xam

ple,

a la

rge

wat

erbo

dy, s

uch

as a

lake

, can

cre

ate

a lo

cal w

ind

from

the

wat

er b

ody

to th

e la

nd d

urin

g th

e da

y an

d a

loca

l win

dfr

om th

e la

nd to

wat

er d

urin

g th

e ni

ght (

Figu

re 2

). Th

isis

bec

ause

wat

er h

as a

hig

her

effe

ctiv

e th

erm

al m

ass

than

tha

t of

land

. Und

er t

he s

un, t

he s

urfa

ce o

f lan

d is

heat

ed m

uch

fast

er t

han

wat

er. T

he w

arm

er a

ir ab

ove

the

land

goe

s up

due

to

the

buoy

ancy

eff

ect,

crea

ting

an a

ir pr

essu

re d

iffer

entia

l fro

m th

e w

ater

to la

nd. D

urin

gth

e ni

ght,

land

coo

ls f

aste

r th

an w

ater

due

to

ther

mal

radi

atio

n. It

is a

gain

the

ther

mal

buo

yanc

y in

the

air t

hat

form

s a la

nd-t

o-w

ater

win

d. O

ther

fact

ors i

nclu

de v

alle

ys,

mou

ntai

n ra

nges

, and

eve

n la

rge

build

ing

bloc

ks.

DESI

GN

TO

OLS

Trad

ition

ally

, man

y ar

chite

cts

pred

ict t

he a

irflo

w in

and

arou

nd b

uild

ings

by

usin

g “s

mar

t ar

row

s,” a

s sh

own

inFi

gure

3. D

raw

ing

the

airf

low

cor

rect

ly r

equi

res

a ric

hkn

owle

dge

of f

luid

mec

hani

cs. U

nfor

tuna

tely

in m

any

case

s, th

e “p

redi

cted

” airf

low

pat

tern

can

be

com

plet

ely

diff

eren

t fr

om t

hat

in r

ealit

y. F

urth

erm

ore,

the

sm

art

arro

ws c

anno

t giv

e th

e w

ind

spee

d, o

r at l

east

the

relia

ble

air s

peed

, whi

ch is

an

impo

rtan

t par

amet

er fo

r eva

luat

ing

the

bene

fits o

f nat

ural

ven

tilat

ion

and

outd

oor c

omfo

rt.

Chan

dra,

Fai

rey

and

Hou

ston

(198

3) d

evel

oped

a si

mpl

em

odel

for

cal

cula

ting

the

air

exch

ange

rat

e fo

r na

tura

lcr

oss v

entil

atio

n. H

owev

er, i

t is l

imite

d in

that

it c

an o

nly

be a

pplie

d to

bui

ldin

gs w

ith

sim

ple

geom

etry

and

surr

ound

ings

.M

any

empi

rical

and

ana

lytic

al t

ools

hav

e al

so b

een

deve

lope

d fo

r m

anua

l pre

dict

ion

of n

atur

al v

entil

atio

nin

bui

ldin

gs a

nd o

utdo

or t

herm

al c

omfo

rt,

asdo

cum

ente

d by

Alla

rd (1

998)

, Aw

bi (1

996)

, CIB

SE (1

997)

,an

d Li

nden

(199

9). T

hese

man

ual m

etho

ds a

re g

ener

ally

very

sim

ple

and

can

be e

xpre

ssed

by

alge

brai

c eq

uatio

nsan

d sp

read

shee

ts. D

espi

te b

eing

use

ful,

thes

e em

piric

alan

d an

alyt

ical

tool

s hav

e gr

eat u

ncer

tain

ties w

hen

used

for c

ompl

ex b

uild

ings

.As

a re

sult,

mos

t tra

ditio

nal s

tudi

es u

se w

ind

tunn

els

to s

imul

ate

and

mea

sure

the

airf

low

aro

und

build

ings

for

outd

oor

ther

mal

com

fort

and

a f

ull-

scal

e m

ock-

upro

om to

det

erm

ine

natu

ral v

entil

atio

n. F

igur

e 4

show

s asi

te m

odel

pla

ced

in a

win

d tu

nnel

. By

rota

ting

the

site

mod

el d

isc a

nd b

y ch

angi

ng th

e fa

n sp

eed,

diff

eren

t win

ddi

rect

ions

and

spe

eds

can

be s

imul

ated

.W

hen

the

buoy

ancy

eff

ect

is n

ot s

tron

g, s

uch

asdu

ring

nat

ural

cro

ss v

enti

lati

on,

the

win

d tu

nnel

,to

geth

er w

ith m

odel

ing

theo

ry, c

an a

lso b

e us

ed to

stud

yna

tura

l ve

ntila

tion

. Fo

r bu

oyan

cy-d

omin

ant

natu

ral

Figu

re 1

Surf

ace

win

d ro

ses

in Ja

nuar

y fo

r nor

thea

ster

n U

.S.

(Sou

rce:

ada

pted

from

NO

AA 1

983)

Page 4: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

103

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

vent

ilatio

n, s

uch

as s

ingl

e-si

ded

natu

ral

vent

ilatio

n,id

eally

a fu

ll-sc

ale

moc

kup

is n

eede

d in

ord

er t

o sa

tisfy

both

the

Reyn

olds

num

ber t

hat r

epre

sent

s ine

rtia

l for

cefr

om th

e w

ind

and

the

Gra

shov

num

ber t

hat r

epre

sent

sth

e bu

oyan

cy f

orce

. The

exp

erim

ent

usua

lly m

easu

res

win

d sp

eed

in t

he w

ind

tunn

el, a

nd w

ind

spee

d an

dte

mpe

ratu

re i

n th

e m

ocku

p ro

om. R

arel

y is

the

win

ddi

rect

ion

also

mea

sure

d. A

lthou

gh t

he e

xper

imen

tal

appr

oach

es p

rovi

de r

elia

ble

info

rmat

ion

conc

erni

ngai

rflo

w i

n an

d ar

ound

bui

ldin

gs, t

he a

vaila

ble

data

is

gene

rally

lim

ited

due

to th

e ex

pens

ive

expe

rimen

tal r

igs

and

proc

esse

s. M

oreo

ver,

the

appr

oach

is n

ot p

ract

ical

for a

des

igne

r who

wis

hes t

o op

timiz

e hi

s or h

er d

esig

nsbe

caus

e th

e ex

peri

men

tal

met

hod

is v

ery

tim

e-co

nsum

ing.

Alte

rnat

ely,

ano

ther

flu

id s

uch

as h

eavy

refr

iger

ant

vapo

r (O

lson

, Glic

ksm

an a

nd F

erm

199

0) o

rw

ater

(Li

nden

199

9) c

an b

e us

ed f

or m

odel

ing.

The

seflu

ids

allo

w t

he m

odel

siz

e to

be

subs

tant

ially

red

uced

.W

hole

bui

ldin

gs c

an b

e sim

ulat

ed w

ith th

e w

ater

mod

els.

Also

, by

rela

xing

som

e of

the

mod

elin

g cr

iteria

, suc

h as

mat

chin

g th

e Re

ynol

ds n

umbe

r, sm

all-

scal

e ai

r m

odel

sca

n al

so b

e em

ploy

ed.

Num

eric

al s

imul

atio

n ha

s be

com

e a

new

tre

nd f

orde

term

inin

g na

tura

l ve

ntila

tion

and

outd

oor

ther

mal

com

fort

. Tw

o nu

mer

ical

met

hods

are

ava

ilabl

e fo

rpr

edic

ting

natu

ral v

entil

atio

n. T

he fi

rst o

ne is

the

zona

lm

etho

d, w

hich

cal

cula

tes

inte

r-zo

nal a

irflo

w u

sing

the

Bern

oulli

equ

atio

n al

ong

with

exp

erim

enta

l cor

rela

tions

of fl

ow re

sista

nce

thro

ugh

door

way

s, w

indo

ws,

and

othe

ror

ifice

s.Th

e pr

edic

tion

of th

e in

ter-

zona

l airf

low

relie

s on

the

exte

rnal

pre

ssur

e di

strib

utio

n ca

used

eith

er b

y w

ind

orth

e bu

oyan

cy e

ffec

t. H

owev

er, t

he d

eter

min

atio

n of

the

exte

rnal

pre

ssur

e is

ver

y co

mpl

ex, s

ince

the

pre

ssur

edi

stri

buti

on d

epen

ds o

n in

com

ing

win

d sp

eed

and

dire

ctio

n, b

uild

ing

size

and

sha

pe,

and

the

size

and

loca

tion

of t

he b

uild

ing’

s in

terio

r op

enin

g (V

icke

ry a

nd

Kara

kats

anis

198

7). T

here

fore

, the

acc

urac

y of

the

zona

lm

etho

d de

pend

s on

the

acc

urac

y of

the

pre

ssur

edi

strib

utio

n. F

urth

erm

ore,

the

zon

al m

odel

is in

capa

ble

of d

eter

min

ing

ther

mal

com

fort

aro

und

a bu

ildin

g,be

caus

e it

does

not

pro

vide

win

d ve

loci

ty in

form

atio

n.H

owev

er, s

uch

a m

etho

d ca

n su

pply

goo

d pr

elim

inar

yes

timat

es o

f ai

r flo

w a

nd t

empe

ratu

re le

vels

with

in a

build

ing

if re

ason

able

est

imat

es o

f ext

erna

l win

d pr

essu

redi

strib

utio

ns c

an b

e m

ade.

The

othe

r nu

mer

ical

met

hod,

CFD

, cal

cula

tes

the

airf

low

dist

ribut

ion

for b

oth

indo

or a

nd o

utdo

or th

erm

alco

mfo

rt. T

he C

FD t

echn

ique

num

eric

ally

sol

ves

a se

t of

part

ial

diff

eren

tial

equa

tions

for

the

con

serv

atio

n of

mas

s, m

omen

tum

(N

avie

r-St

okes

equ

atio

ns),

ener

gy,

spec

ies

conc

entr

atio

ns, a

nd t

urbu

lenc

e qu

antit

ies.

The

solu

tion

prov

ides

the

fie

ld d

istr

ibut

ion

of p

ress

ure,

air

velo

city

, tem

pera

ture

, con

cent

ratio

ns o

f w

ater

vap

or(r

elat

ive

hum

idity

), an

d co

ntam

inan

ts, a

nd t

urbu

lenc

e.Re

fer t

o Ch

en a

nd G

licks

man

(200

0) fo

r a m

ore

deta

iled

desc

riptio

n of

the

CFD

tec

hniq

ue. D

espi

te h

avin

g so

me

unce

rtai

ntie

s an

d re

quiri

ng a

n en

gine

er w

ith s

uffic

ient

know

ledg

e of

flu

id m

echa

nics

and

a h

igh-

capa

city

com

pute

r, th

e CF

D m

etho

d ha

s be

en s

ucce

ssfu

lly u

sed

to p

redi

ct a

irflo

w in

and

aro

und

build

ings

(Che

n 19

97,

Mur

akam

i 199

8). W

ith t

he r

apid

incr

ease

in c

ompu

ter

capa

city

and

the

dev

elop

men

t of

new

CFD

pro

gram

inte

rfac

es, t

he C

FD te

chni

que

is b

ecom

ing

very

pop

ular

.Th

e fo

llow

ing

sect

ions

will

dis

cuss

the

app

licat

ions

of C

FD t

o ou

tdoo

r th

erm

al c

omfo

rt a

nd n

atur

alve

ntila

tion

desi

gn. C

FD g

ener

ally

inc

lude

s la

rge

eddy

sim

ulat

ion

and

Rey

nold

s av

erag

ed N

avie

r-St

okes

equa

tion

mod

elin

g. L

arge

edd

y si

mul

atio

n, a

s re

view

edby

Mur

akam

i (19

98),

can

give

mor

e de

taile

d re

sults

, suc

has

an

inst

anta

neou

s ai

rflo

w f

ield

, but

it r

equi

res

mor

eco

mpu

ting

time

than

tha

t of

the

Rey

nold

s av

erag

edN

avie

r-St

okes

equ

atio

n m

odel

ing.

Larg

e ed

dy si

mul

atio

nha

s sta

rted

app

earin

g in

bui

ldin

g en

viro

nmen

t res

earc

h,

Figu

re 4

A b

uild

ing

site

mod

el w

ithin

a w

ind

tunn

el

Figu

re 3

Smar

t arr

ows

used

by

arch

itect

s to

pre

dict

airf

low

inan

d ar

ound

bui

ldin

gs (S

ourc

e: a

dapt

ed fr

om M

oore

199

3)

Page 5: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

104

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

but h

as y

et to

be

appl

ied

as a

des

ign

tool

. The

refo

re, t

his

chap

ter

focu

ses

on R

eyno

lds

aver

aged

Nav

ier-

Stok

eseq

uatio

n m

odel

ing.

Man

y co

mm

erci

al C

FD p

rogr

ams

base

d on

the

Reyn

olds

ave

rage

d N

avie

r-St

okes

equ

atio

nm

odel

ing

are

avai

labl

e on

mar

ket a

nd a

re ra

ther

sim

ilar

to e

ach

othe

r. Th

is i

nves

tigat

ion

uses

the

PH

OEN

ICS

prog

ram

(CH

AM 2

000)

.

OU

TDO

OR

THER

MAL

CO

MFO

RT S

TUDI

ES

Out

door

the

rmal

com

fort

des

ign

will

be

illus

trat

ed b

ytw

o ap

plic

atio

n ex

ampl

es. T

he f

irst

exam

ple

conc

erns

the

desi

gn o

f th

e St

ata

Cent

er a

t th

e M

assa

chus

etts

Inst

itute

of

Tech

nolo

gy, a

nd t

he s

econ

d is

a h

igh-

rise

resi

dent

ial b

uild

ing

com

plex

in B

eijin

g.

Stat

a Ce

nter

Figu

re 5

a sh

ows

a m

odel

of

the

Stat

a Ce

nter

and

its

surr

ound

ings

des

igne

d by

Fran

k O.

Geh

ry a

nd A

ssoc

iate

s.Si

nce

this

cam

pus b

uild

ing

has w

indy

surr

ound

ings

, the

arch

itect

was

con

cern

ed a

bout

the

out

door

the

rmal

com

fort

in th

e pl

aza

(the

fron

t par

t of F

igur

e 5a

). At

one

time,

the

arch

itect

wan

ted

to a

dd a

gla

ss ro

of th

at w

ould

prov

ide

a w

ind

shie

ld o

ver

the

plaz

a. S

ince

the

gla

zed

roof

wou

ld c

ost

seve

ral

mill

ion

dolla

rs, t

he a

rchi

tect

initi

ated

a st

udy

of th

e w

ind

dist

ribut

ion

arou

nd th

e St

ata

Cent

er, w

hich

was

rese

arch

ed b

y th

e au

thor

.Th

is in

vest

igat

ion

used

a c

omm

erci

al C

FD p

rogr

am(C

HAM

200

0) fo

r the

stud

y. Th

e CF

D p

rogr

am a

llow

s one

to r

ead

data

fro

m a

n Au

toCA

D f

ile. T

his

feat

ure

is v

ery

impo

rtan

t be

caus

e of

the

com

plic

ated

geo

met

ry o

f the

build

ings

. Sim

ilar t

o a

win

d tu

nnel

, CFD

requ

ires d

etai

led

info

rmat

ion

on th

e su

rrou

ndin

gs o

f the

Sta

ta C

ente

r in

orde

r to

calc

ulat

e th

e ai

rflo

w. T

he su

rrou

ndin

g bu

ildin

gsca

n ei

ther

blo

ck o

r enh

ance

the

win

d sp

eed

arou

nd th

ece

nter

. The

com

puta

tiona

l dom

ain

for t

he b

uild

ing

and

surr

ound

ings

is s

how

n in

Fig

ure

5b. T

he d

omai

n le

ngth

is a

bout

fiv

e tim

es t

hat

of S

tata

Cen

ter

in t

he f

our

horiz

onta

l dire

ctio

ns (o

r 100

tim

es th

e St

ata

Cent

er a

rea

size

). Th

e w

ind

dist

ribut

ions

aro

und

Stat

a Ce

nter

wer

eca

lcul

ated

for

the

nor

th, e

ast,

sout

h, a

nd w

est

win

ddi

rect

ions

with

a t

ypic

al w

ind

spee

d fo

r ea

ch d

irect

ion.

Figu

re 6

show

s the

win

d di

strib

utio

n ar

ound

Sta

ta C

ente

rw

ith a

n ea

st w

ind.

Thi

s st

udy

used

abo

ut o

ne m

illio

ngr

id p

oint

s; th

e st

udy

requ

ired

thre

e da

ys o

f com

putin

gtim

e on

a P

entiu

m II

450

PC

with

512

MB

of m

emor

y.Th

at P

C w

as c

onsi

dere

d to

be

high

-end

in

1999

.O

bvio

usly

, the

grid

num

ber w

as t

oo c

oars

e so

the

win

din

form

atio

n w

as n

ot s

uffic

ient

ly d

etai

led.

Ther

efor

e, th

e in

vest

igat

ion

used

a zo

om-i

n ap

proa

chto

stu

dy th

e de

tails

of t

he w

ind

dist

ribut

ion.

The

zoo

m-

in a

ppro

ach

used

the

win

d in

form

atio

n co

mpu

ted

(Fig

ure

6) a

s bou

ndar

y co

nditi

ons i

n ca

lcul

atin

g th

e w

ind

spee

ddi

strib

utio

n ju

st a

roun

d St

ata

Cent

er, a

s sho

wn

in Fi

gure

7. W

ith th

e zo

om-i

n ap

proa

ch, t

he C

FD re

sults

pro

vide

dve

ry d

etai

led

win

d sp

eed

info

rmat

ion.

For

exa

mpl

e, t

hew

ind

spee

d w

as fo

und

to b

e al

mos

t ide

ntic

al a

roun

d St

ata

Cent

er w

ith o

r w

ithou

t th

e gl

ass

roof

. Hen

ce, t

he g

lass

roof

was

not

nec

essa

ry.

A H

igh-

Rise

Res

iden

tial B

uild

ing

Com

plex

in B

eijin

gIn

the

past

, a g

ood

livin

g en

viro

nmen

t in

Chin

a im

plie

dam

ple

spac

e be

twee

n bu

ildin

gs fi

lled

with

tree

s and

gra

ss.

Hig

h-ris

e bu

ildin

gs h

ave

been

reg

arde

d as

a s

ymbo

l of

mod

erni

ty a

nd lu

xury

. A t

ypic

al b

uild

ing

cons

istin

g of

such

res

iden

tial u

nits

is s

how

n in

Fig

ure

8. J

iang

et

al(1

999)

mad

e a

deta

iled

anal

ysis

on th

e de

sign

and

foun

dth

at s

uch

a de

sign

is n

ot s

usta

inab

le in

term

s of

ene

rgy

effic

ienc

y an

d Ch

ines

e cu

lture

. The

stu

dy s

how

ed t

hat

the

best

des

ign

wou

ld b

e m

ade

up o

f low

-ris

e bu

ildin

gsw

ith v

aryi

ng-s

ized

cou

rtya

rds.

This

wou

ld a

void

a h

arsh

win

ter w

ind,

let t

he w

inte

r sun

in, a

nd p

rom

ote

the

use

of n

atur

al v

entil

atio

n.

Figu

re 5

Stat

a Ce

nter

: (a)

mod

el s

how

n w

ithou

t gla

ss ro

of a

nd(b

) sur

roun

ding

s

(a)

(b)

Stat

a Ce

nter

Page 6: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

105

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

Figu

re 7

Win

d di

strib

utio

n ar

ound

Sta

ta C

ente

r (zo

om-i

n): (

a)w

ith a

gla

ss ro

of a

nd (b

) with

out a

gla

ss ro

of (d

ark

- lo

w v

eloc

ityan

d lig

ht -

hig

h ve

loci

ty)

Figu

re 6

Win

d di

strib

utio

n ar

ound

Sta

ta C

ente

r at t

he g

roun

d le

vel (

dark

- lo

w v

eloc

ity a

nd li

ght -

hig

h ve

loci

ty)

(a)

(b)

Page 7: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

106

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

As i

s th

e ca

se w

ith

man

y do

wnt

own

area

s w

ith

skys

crap

ers,

high

-rise

bui

ldin

gs so

met

imes

cre

ate

a w

ind

tunn

el e

ffec

t tha

t is

very

unc

omfo

rtab

le to

ped

estr

ians

.Th

e pr

opos

ed d

esig

n fo

r Bei

jing

Star

Gar

den

form

s a w

ind

tunn

el e

ffec

t on

the

site

with

pre

vaili

ng w

inte

r w

inds

from

the

nor

th. F

igur

e 9a

sho

ws

the

win

d di

strib

utio

non

the

site

with

a n

orth

win

d fr

om th

e rig

ht. T

here

are

afe

w p

lace

s th

at h

ave

very

hig

h w

ind

spee

ds (

see

red

arro

ws

in F

igur

e 9a

). Th

e de

velo

pers

did

not

ado

pt o

ursu

gges

tion

of lo

wer

ing

the

build

ing

heig

ht a

nd c

reat

ing

cour

ts to

elim

inat

e “w

ind

tunn

el” p

robl

ems a

nd e

nhan

ceco

ntac

t be

twee

n ne

ighb

ors.

Inst

ead,

the

y so

ught

to

chan

ge t

he s

hape

of

the

four

tow

ers

in t

he n

orth

to

elim

inat

e hi

gh w

ind

spot

s. T

he n

ew d

esig

n us

ed a

diff

eren

t bu

ildin

g sh

ape

to d

efle

ct t

he w

ind

to t

hew

estw

ard

dire

ctio

n. F

igur

e 9b

sho

ws

the

airf

low

dist

ribut

ion

with

a n

orth

win

d un

der t

he n

ew d

esig

n of

the

four

tow

ers

that

redu

ces

area

s of

hig

h w

inds

.O

f co

urse

, win

d is

not

the

onl

y fa

ctor

in p

rodu

cing

an e

nerg

y-ef

ficie

nt b

uild

ing

desig

n. C

hang

ing

the

tow

ersh

ape

may

hav

e an

impa

ct o

n th

e de

sire

to h

ave

sout

h-fa

cing

win

dow

s. T

his

can

be a

chie

ved

thro

ugh

arch

itect

ural

des

ign,

as

show

n in

Fig

ure

10. T

he t

hin

stru

ctur

e al

so a

llow

s th

e us

e of

nat

ural

ven

tilat

ion

inth

e su

mm

er. S

ee C

hapt

er 1

1, C

ase

Stud

y Tw

o –

Beiji

ngSt

ar G

arde

n fo

r mor

e in

form

atio

n.

NAT

URA

L VE

NTI

LATI

ON

STU

DIES

The

last

ten

yea

rs h

ave

seen

a s

igni

fican

t sh

ift in

the

deve

lopm

ent

and

inte

grat

ion

of e

nvir

onm

enta

l,ec

olog

ical

, and

ene

rgy

issue

s int

o th

e ar

chite

ctur

al d

esig

nof

bui

ldin

gs. E

nerg

y-ef

ficie

nt b

uild

ings

add

ress

not

onl

yth

e is

sues

of

cons

umpt

ion

and

perf

orm

ance

, but

als

oth

e de

velo

pmen

t an

d in

tegr

atio

n of

a s

erie

s of

des

ign

and

syst

em t

echn

olog

ies.

Build

ings

sho

uld

prov

ide

the

Figu

re 8

Beiji

ng S

tar G

arde

n -

a hi

gh-r

ise

resi

dent

ial

deve

lopm

ent

(a)

Figu

re 9

Win

d di

strib

utio

n on

the

build

ing

site

: (a)

orig

inal

des

ign,

and

(b) d

esig

n w

ith fo

ur p

ropo

sed

tow

ers

to th

e no

rth

(to

the

right

)(r

ed in

dica

tes

high

vel

ocity

, yel

low

- m

oder

ate

velo

city

, and

blu

e -

low

vel

ocity

)

(b)

Figu

re 1

0Th

e un

it la

yout

in th

e fo

ur n

ew to

wer

s al

low

s m

ore

effe

ctiv

e na

tura

l ven

tilat

ion

in th

e su

mm

er (n

orth

is u

p)

Page 8: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

107

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

basi

c am

eniti

es o

f sh

elte

r an

d ye

t pr

actic

e re

spon

sibl

eus

e of

res

ourc

es. W

hate

ver

the

clim

ate

zone

, ene

rgy-

cons

ciou

s de

sign

util

izes

str

ateg

ies

that

opt

imiz

e th

epa

ssiv

e en

viro

nmen

tal

syst

ems

in r

efer

ence

to

activ

e“s

eale

d sy

stem

” str

ateg

ies.

This

lead

s to

the

use

of n

atur

alve

ntila

tion

and

the

max

imiz

atio

n of

day

light

ing

whe

reve

rre

ason

able

. Eve

n un

der

unfa

vora

ble

outd

oor

clim

ate

cond

ition

s, pa

ssiv

e-ba

sed

tech

nolo

gy c

an b

e co

mbi

ned

wit

h ac

tive

sys

tem

s du

ring

sho

ulde

r se

ason

s an

dso

met

imes

for

nig

ht c

oolin

g in

con

junc

tion

wit

had

equa

te t

herm

al m

ass.

Lead

ing

arch

itect

s of

thi

s ge

nera

tion

in t

he U

nite

dKi

ngdo

m, G

erm

any,

Fran

ce, S

witz

erla

nd, a

nd S

cand

inav

iaha

ve tu

rned

thei

r att

entio

n to

a m

ore

sust

aina

ble

form

of p

ract

ice

in b

oth

build

ing

syst

em t

echn

olog

ies

and

build

ing

typo

logi

es. T

his

appr

oach

can

be

witn

esse

d in

the

wor

k of

arc

hite

cts s

uch

as Fo

ster

and

Par

tner

s, Re

nzo

Pian

o, A

lan

Shor

t, Th

omas

Her

zog,

Mic

hael

Hop

kins

,Ed

war

d Cu

llina

n, a

nd K

iess

ler

and

Part

ners

. In

the

irde

sign

s, th

e is

sue

of r

esou

rces

and

the

env

ironm

ent

isat

the

hea

rt o

f m

akin

g in

telli

gent

and

wel

l-cr

afte

dar

chit

ectu

re.

Thei

r bu

ildin

gs p

rovi

de a

n in

tera

ctio

nbe

twee

n th

e en

clos

ure

syst

ems

and

the

envi

ronm

enta

lan

d m

echa

nica

l st

rate

gies

for

the

int

erna

l sp

ace.

The

build

ings

are

repu

ted

to s

ave

a co

nsid

erab

le a

mou

nt o

fen

ergy

whi

le im

prov

ing

indo

or a

ir qu

ality

and

com

fort

.Ta

ble

3 sh

ows

the

pote

ntia

l of

usi

ng n

atur

alve

ntila

tion

in th

e U

nite

d St

ates

for r

esid

entia

l bui

ldin

gs.

With

pro

per

desi

gn o

f bu

ildin

g or

ient

atio

n, l

ocat

ion,

shap

e, a

nd o

peni

ngs,

dayt

ime

natu

ral v

entil

atio

n an

d/or

nigh

t coo

ling

can

prov

ide

a th

erm

ally

com

fort

able

indo

oren

viro

nmen

t for

a lo

ng p

erio

d in

mos

t all

U.S

. clim

ates

.Ev

en i

f it

is

not

poss

ible

to

avoi

d th

e us

e of

air

-co

nditi

onin

g in

the

sum

mer

, air-

cond

ition

ing

units

can

be m

uch

smal

ler w

ith n

atur

al v

entil

atio

n, re

duci

ng fi

rst

and

oper

atin

g co

sts.

Tabl

e 3

The

pot

entia

l for

nat

ural

ven

tilat

ion

in th

e U

.S. (

Sour

ce: L

echn

er 2

000)

Tabl

e 4

A s

urve

y co

nduc

ted

in B

eijin

g w

ith re

spec

t to

the

use

of a

ir-co

nditi

onin

g in

hom

es(S

ourc

e: Ji

ang

1999

)

Age

< 1

9 2

0-40

40-

60 >

60

Sex

MF

MF

MF

MF

Like

AC

(%)

4352

4835

3837

2230

Neu

tral

(%)

4332

4353

3737

3733

Dis

like

AC (%

)14

169

1225

2641

37

Mon

thJa

nFe

bM

arAp

rM

ayJu

nJu

lAu

gSe

pO

ctN

ovD

ec1.

Har

tfor

d, C

TH

HH

HN

VN

VN

VN

VN

VH

HH

2. M

adis

on, W

IH

HH

HN

VN

VN

VN

VN

VH

HH

3. In

dian

apol

is, I

NH

HH

NV

NV

NV

ACAC

NV

NV

HH

4. S

alt L

ake

City

, UT

HH

HH

NV

NV

ACAC

NV

NV

HH

5. E

ly, N

VH

HH

HN

VN

VN

VN

VN

VN

VH

H6.

Med

ford

, OR

HH

HN

VN

VN

VN

VN

VN

VN

VH

H7.

Fre

sno,

CA

HH

NV

NV

NV

NV

NV

NV

NV

NV

HH

8. C

harle

ston

, SC

HH

NV

NV

NV

ACAC

ACAC

NV

NV

H9.

Litt

le R

ock,

AR

HH

HN

VN

VAC

ACAC

NV

NV

NV

H10

. Kno

xvill

e, T

NH

HH

NV

NV

ACAC

ACN

VN

VN

VH

11. P

hoen

ix, A

ZH

NV

NV

NV

ACAC

ACAC

ACN

VN

VH

12. M

idla

nd, T

XH

HN

VN

VN

VAC

ACAC

ACN

VN

VH

13. F

ort W

orth

, TX

HN

VN

VN

VAC

ACAC

ACAC

NV

NV

H14

. New

Orle

ans,

LAH

HN

VN

VN

VAC

ACAC

ACN

VN

VH

15. H

oust

on, T

XH

NV

NV

NV

ACAC

ACAC

ACN

VN

VH

16. M

iam

i, FL

NV

NV

NV

NV

ACAC

ACAC

ACAC

NV

NV

17. L

os A

ngel

es, C

AH

HN

VN

VN

VN

VAC

NV

NV

NV

NV

H

Furt

herm

ore,

it is

ver

y in

tere

stin

g to

see

the

sur

vey

cond

ucte

d in

Bei

jing

by J

iang

(19

99)

rega

rdin

g th

eac

cept

abili

ty o

f air-

cond

ition

ing

syst

ems.

Tabl

e 4

show

sth

e su

rvey

res

ults

sep

arat

ed in

to c

ateg

orie

s ac

cord

ing

to a

ge a

nd s

ex. P

eopl

e w

ho li

ke a

ir-co

nditi

onin

g th

ink

that

it

prov

ides

a c

ool

tem

pera

ture

(40

per

cent

),re

pres

ents

a m

oder

n te

chno

logy

(34

perc

ent)

, and

off

ers

an a

bilit

y to

con

trol

the

clim

ate

(23

perc

ent)

. On

the

Peri

ods

Suit

able

for

Nat

ural

Ven

tila

tion

(NV)

and

whe

n Ai

r-Co

ndit

ioni

ng (A

C) o

r H

eati

ng (H

) is

Nee

ded

for

Resi

dent

ial B

uild

ings

Clim

ate

Regi

onan

d Re

fere

nce

City

othe

r ha

nd, t

hose

who

dis

like

air-

cond

ition

ing

belie

veth

at a

ir-c

ondi

tion

ing

sepa

rate

s th

em f

rom

nat

ure

(47

perc

ent),

lead

s to

draf

t and

a h

igh-

noise

env

ironm

ent

(26

perc

ent)

, and

cau

ses

high

ele

ctric

ity a

nd f

irst

cost

s(2

3 pe

rcen

t). I

n ge

nera

l, yo

unge

r peo

ple

tend

to li

ke a

ir-co

nditi

onin

g m

ore

than

eld

erly

peo

ple

do. T

he r

esul

tssh

ow a

gre

at p

oten

tial f

or u

sing

nat

ural

ven

tilat

ion

inBe

ijing

.

Page 9: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

108

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

It sh

ould

als

o be

not

ed t

hat

natu

ral v

entil

atio

n ha

sits

shor

tcom

ings

; the

se in

clud

e iss

ues o

f hum

idity

cont

rol,

nois

e co

ntro

l (1

0 dB

ded

uctio

n fo

r an

ope

n w

indo

wve

rsus

30

dB d

educ

tion

for

a s

eale

d w

indo

w),

heat

reco

very

, sec

urity

con

cern

s, an

d ra

in. I

n ad

ditio

n, in

are

asw

ith h

igh

outd

oor

pollu

tion,

nat

ural

ven

tilat

ion

has

diff

icul

ty in

con

trol

ling

air

qual

ity. O

ne s

olut

ion

coul

dbe

the

use

of n

ight

cool

ing

that

clos

es th

e w

indo

w d

urin

gda

ytim

e, a

s ill

ustr

ated

by

Carr

ilho

da G

raça

et a

l (20

02)

and

as d

escr

ibed

in c

hapt

er 5

.Ac

cord

ing

to C

IBSE

(19

97),

natu

ral v

entil

atio

n ca

nbe

cla

ssifi

ed a

s:

•cr

oss

vent

ilatio

n;•

sing

le-s

ided

ven

tilat

ion;

•st

ack

vent

ilatio

n; a

nd•

mec

hani

cally

ass

iste

d ve

ntila

tion.

Cros

s ve

ntila

tion

occu

rs w

here

an

indo

or s

pace

has

vent

ilatio

n op

enin

gs o

n bo

th s

ides

. Air

flow

s fr

om o

nesi

de o

f th

e bu

ildin

g to

the

oth

er d

ue t

o a

pres

sure

diff

eren

ce b

uilt

up b

y w

ind.

Sin

gle-

side

d ve

ntila

tion

impl

ies

that

an

indo

or s

pace

has

all

of t

he o

peni

ngs

onon

e si

de.

Stac

k ve

ntila

tion

mak

es u

se o

f de

nsit

ydi

ffer

ence

s du

e to

buo

yanc

y in

pro

mot

ing

an o

utflo

wfr

om a

par

t of a

bui

ldin

g (e

.g., r

oof)

and

draw

ing

in fr

esh

and

cool

air

from

ano

ther

par

t of

the

bui

ldin

g (e

.g.,

win

dow

s an

d do

ors)

. Mec

hani

cally

ass

iste

d ve

ntila

tion

uses

mec

hani

cal v

entil

atio

n to

incr

ease

the

airf

low

inan

y of

the

abo

ve-m

entio

ned

syst

ems.

A bu

ildin

g m

ayha

ve m

ore

than

one

of t

he v

entil

atio

n sy

stem

s des

crib

edab

ove. This

sec

tion

will

des

crib

e th

e ap

plic

atio

ns o

f CF

D t

ode

sign

cro

ss v

entil

atio

n an

d si

ngle

-sid

ed v

entil

atio

n in

build

ings

. The

met

hod

can

be u

sed

for o

ther

ven

tilat

ion

syst

ems

as w

ell.

Cros

s Ve

ntila

tion

in a

Bui

ldin

gTh

e de

sign

team

was

requ

este

d to

des

ign

thre

e m

id-r

ise

build

ings

for

a r

esid

enti

al b

uild

ing

deve

lopm

ent

inSh

angh

ai (F

igur

e 11

).Si

nce

win

d ar

ound

the

build

ings

is th

e dr

ivin

g fo

rce

in c

ross

ven

tila

tion

, th

is i

nves

tiga

tion

inv

olve

s th

esim

ulat

ion

of in

door

and

out

door

airf

low

by

CFD.

In o

rder

to s

tudy

the

im

pact

of

surr

ound

ing

build

ings

, th

eco

mpu

tatio

nal

dom

ain

for

outd

oor

airf

low

sho

uld

besu

ffic

ient

ly la

rge

(e.g

., an

are

a of

tens

of t

hous

ands

to a

mill

ion

squa

re m

eter

s). D

ue t

o th

e lim

itatio

n in

cur

rent

com

pute

r cap

acity

and

spe

ed, t

he g

rid s

ize

used

can

not

be v

ery

smal

l (it

can

be a

few

met

ers)

. On

the

othe

r han

d,th

e gr

id si

ze fo

r ind

oor a

irflo

w si

mul

atio

n sh

ould

be

smal

len

ough

(in

term

s of

a f

ew c

entim

eter

s) f

or o

ne t

o se

eth

e de

tails

. The

refo

re, t

he in

door

and

out

door

airf

low

shou

ld b

e se

para

tely

sim

ulat

ed. F

or n

atur

al v

entil

atio

nde

sign

, the

out

door

airf

low

sim

ulat

ion

can

prov

ide

flow

info

rmat

ion

as b

ound

ary

cond

itio

ns f

or t

he i

ndoo

rai

rflo

w s

imul

atio

n. Z

hai e

t al

(20

00)

have

dis

cuss

ed a

few

met

hods

to p

rovi

de th

e flo

w in

form

atio

n.Fo

r sim

plic

ity, t

his i

nves

tigat

ion

used

a C

FD p

rogr

amto

cal

cula

te th

e pr

essu

re d

iffer

ence

aro

und

the

build

ings

and

uses

it a

s the

bou

ndar

y co

nditi

ons f

or in

door

airf

low

sim

ulat

ion.

Idea

lly, t

he c

alcu

latio

n sh

ould

be

perf

orm

edfo

r diff

eren

t win

d di

rect

ions

und

er v

ario

us w

ind

spee

dsin

a p

erio

d su

itab

le f

or n

atur

al v

enti

lati

on,

such

as

sum

mer

. Fig

ure

12 il

lust

rate

s th

e pr

essu

re d

istr

ibut

ion

unde

r the

pre

vaili

ng w

ind

dire

ctio

n (s

outh

east

) and

spee

d(3

m/s

). In

ord

er t

o co

rrec

tly t

ake

the

impa

ct o

f th

esu

rrou

ndin

g bu

ildin

gs in

to a

ccou

nt, t

he c

ompu

tatio

nal

dom

ain

is m

uch

larg

er th

an th

e on

e sh

own

in th

e fig

ure.

Clea

rly, t

he p

ress

ure

diff

eren

ce is

the

hig

hest

bet

wee

nth

e no

rthe

rn a

nd so

uthe

rn fa

çade

s. It

is a

lso

inte

rest

ing

to n

ote

that

the

high

est p

ress

ure

diff

eren

ce is

nei

ther

at

the

top

floor

nor

at

the

bott

om f

loor

, but

som

ewhe

rene

ar th

e to

p, a

s sh

own

in F

igur

e 12

b.

Page 10: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

109

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

Figu

re 1

1 A

rchi

tect

ural

ele

vatio

n an

d pl

ans

of fi

nal d

esig

n fo

r Sha

ngha

i Tai

dong

Res

iden

tial Q

uart

er

Figu

re 1

2 P

ress

ure

dist

ribut

ion

arou

nd th

e bu

ildin

gs p

ropo

sed

(sho

wn

circ

led)

for S

hang

hai T

aido

ng R

esid

entia

l Qua

rter

, due

to p

reva

iling

win

ds, f

rom

the

sout

heas

t at 3

m/s

(da

rk g

ray

- hi

gh p

ress

ure,

ligh

t gra

y -

low

pre

ssur

e): (

a) is

the

plan

(nor

th is

up)

and

(b) i

s th

e se

ctio

nlo

okin

g w

est (

see

colo

r ver

sion

of F

igur

e 12

b in

cha

pter

12,

Fig

ure

34)

(b)

(a)

Page 11: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

110

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

By w

orki

ng t

oget

her w

ith t

he a

rchi

tect

s, th

e de

sign

team

eva

luat

ed t

he v

entil

atio

n pe

rfor

man

ce f

or t

hebu

ildin

gs. U

nit G

in th

e m

iddl

e bu

ildin

g w

as u

sed

(Fig

ure

13) a

s an

exa

mpl

e to

illu

stra

te t

he e

valu

atio

n of

cro

ss-

vent

ilatio

n de

sign

.W

ith t

he u

nit

layo

ut in

Fig

ure

13, a

CFD

mod

el c

anbe

est

ablis

hed,

as s

how

n in

Figu

re 1

4a. W

ith th

e pr

essu

redi

stri

buti

on f

rom

Fig

ure

12,

the

CFD

pro

gram

can

calc

ulat

e th

e di

strib

utio

ns o

f ai

rflo

w, a

ir te

mpe

ratu

re,

rela

tive

hum

idity

, pre

dict

ed p

erce

ntag

e di

ssat

isfie

d (P

PD),

and

the

mea

n ag

e of

air,

as s

how

n in

Fig

ure

14. C

FD u

ses

the

hum

idity

ratio

and

air

tem

pera

ture

to d

eter

min

e th

ere

lativ

e hu

mid

ity. T

he P

PD is

det

erm

ined

by

usin

g th

eai

r ve

loci

ty,

tem

pera

ture

, hu

mid

ity

rati

o, a

nden

viro

nmen

tal t

empe

ratu

re. T

he re

sults

show

n in

Fig

ure

14 a

re w

ith a

n ou

tsid

e ai

r te

mpe

ratu

re o

f 24

°C a

nd a

rela

tive

hum

idity

of 7

0 pe

rcen

t.Th

e co

mpu

ted

resu

lts

by C

FD i

ndic

ate

that

the

max

imum

air

velo

city

in th

e un

it is

less

than

one

met

erpe

r se

cond

– a

com

fort

able

val

ue f

or c

ross

ven

tilat

ion.

The

air

exch

ange

rat

e va

ries

from

16

ACH

on

the

first

floor

to

a m

axim

um o

f 40

air

chan

ges

per

hour

(ACH

)tw

o-th

irds

up t

he h

eigh

t of

the

bui

ldin

g. W

ith t

he a

irex

chan

ge r

ate

of 1

6 AC

H, t

he i

ndoo

r ai

r te

mpe

ratu

rein

crea

ses l

ess t

han

1°K,

alth

ough

ther

e ar

e he

at so

urce

sin

the

uni

t. Th

e re

lati

ve h

umid

ity

is a

roun

d 65

to

70 p

erce

nt, a

val

ue c

lose

to

that

of t

he o

utdo

ors.

Sinc

eth

e ai

r exc

hang

e ra

te is

hig

h, th

e m

ean

age

of a

ir is

less

than

120

sec

onds

. The

refo

re, t

he a

ir qu

ality

wou

ld b

eve

ry g

ood

whe

n ou

tdoo

r air

qual

ity is

hig

h.Si

nce

the

air

exch

ange

rat

e is

a v

ery

impo

rtan

tpa

ram

eter

in c

ross

ven

tilat

ion

desi

gn, t

his

inve

stig

atio

nin

dica

tes

the

desi

gn to

be

very

suc

cess

ful.

How

ever

, the

win

d is

not

alw

ays a

t the

pre

vaili

ng sp

eed

and

dire

ctio

n,an

d th

e ou

tdoo

r air

tem

pera

ture

var

ies o

ver t

ime.

A m

ore

com

plet

e ev

alua

tion

of t

he d

esig

n sh

ould

be

com

bine

dw

ith a

n en

ergy

ana

lysi

s of

the

bui

ldin

g, a

s de

scrib

ed in

chap

ter

5. C

arril

ho d

a G

raça

et

al (

2002

) ha

ve s

how

nho

w to

com

bine

the

info

rmat

ion

from

flow

and

ene

rgy

anal

ysis

for

suc

h a

build

ing.

The

pap

er a

lso

emph

asiz

esth

e im

port

ance

in u

sing

diff

eren

t con

trol

stra

tegi

es. F

orex

ampl

e, in

Sha

ngha

i it i

s mor

e ap

prop

riate

to u

se n

ight

cool

ing

and

min

imum

day

time

vent

ilatio

n to

ach

ieve

an

indo

or a

ir te

mpe

ratu

re lo

wer

than

that

of t

he o

utdo

ors.

This

is su

perio

r to

vent

ilatin

g bu

ildin

gs tw

enty

-fou

r hou

rsa

day.

See

Cha

pter

12,

Cas

e St

udy

Thre

e– S

hang

hai

Taid

ong

Resi

dent

ial Q

uart

er fo

r mor

e in

form

atio

n.

Sing

le-S

ided

Ven

tilat

ion

in a

Bui

ldin

gTh

e bu

ildin

g st

udie

d is

a st

uden

t dor

mito

ry in

Cam

brid

ge,

Mas

sach

uset

ts. S

ingl

e-si

ded

vent

ilatio

n w

as e

valu

ated

for

a ty

pica

l roo

m t

hat

is 4

.7 m

eter

s lo

ng, 2

.9 m

eter

sw

ide,

and

2.8

met

ers h

igh.

The

gen

eral

room

mod

el u

sed

thro

ugho

ut th

e st

udy

is sh

own

in Fi

gure

15.

The

furn

iture

with

in t

his

room

con

sist

ed o

f a

bed,

des

k, c

lose

t, an

dbo

okca

se. T

he h

eat s

ourc

es w

ere

a co

mpu

ter (

300

W),

aTV

set

(300

W),

and

one

occu

pant

(100

W).

For

each

of

the

heat

sour

ces,

conv

ectiv

e an

d ra

diat

ive

heat

tran

sfer

was

app

roxi

mat

ely

equa

l. Th

e su

rrou

ndin

g w

alls

, cei

ling,

and

floor

abs

orbe

d th

e ra

diat

ive

com

pone

nt a

nd re

leas

edit

back

to

the

room

air

by c

onve

ctio

n. S

olar

gai

ns w

ere

not

incl

uded

for

pur

pose

s of

the

tim

e-av

erag

edve

ntila

tion

stud

y. T

he w

indo

w d

esig

ned

for

the

room

cons

iste

d of

an

uppe

r and

low

er w

indo

w (0

.4 m

2 eac

h),

as sh

own

in F

igur

e 15

. The

out

door

air

tem

pera

ture

was

mai

ntai

ned

cons

tant

at

25.5

°C,

the

aver

age

noon

tem

pera

ture

for

Bos

ton

in J

uly.

The

int

entio

n w

as t

oan

alyz

e th

e re

sults

for

thi

s fix

ed o

utdo

or t

empe

ratu

re,

and

then

app

ly th

em to

a ra

nge

of o

utdo

or te

mpe

ratu

reco

nditi

ons

to d

evel

op tr

ends

.Th

is s

tudy

sta

cked

thr

ee id

entic

al d

orm

itory

roo

ms

vert

ical

ly a

bove

one

ano

ther

to e

valu

ate

the

effe

ct a

long

a bu

ildin

g’s

heig

ht. T

his

thre

e-st

ory

setu

p w

as p

lace

dw

ithin

a la

rger

out

side

dom

ain

(Fig

ure

15b)

. The

ext

ensio

n

Figu

re 1

3Bu

ildin

g flo

or p

lan

- un

it G

(the

uni

t far

thes

t to

the

right

) was

ana

lyze

d fo

r int

erio

r CFD

stu

dies

Page 12: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

111

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

Figu

re 1

5 T

he C

FD m

odel

use

d to

stu

dy s

ingl

e-si

ded

vent

ilatio

nin

an

MIT

dor

mito

ry ro

om: (

a) th

e ro

om m

odel

and

(b) t

hebu

ildin

g an

d en

viro

nmen

t mod

el

Figu

re 1

4Cr

oss

vent

ilatio

n pe

rfor

man

ce a

naly

sis

of B

eijin

g un

it in

terio

r (re

d –

high

, yel

low

– m

oder

ate

high

, gre

en –

mod

erat

e lo

w,

blue

– lo

w):

(a) u

nit m

odel

, (b)

air

tem

pera

ture

, (c)

pre

dict

ed p

erce

ntag

e of

dis

satis

fied

peop

le (P

PD) d

ue to

ther

mal

com

fort

, (d)

air

velo

city

, (e)

rela

tive

hum

idity

, and

(f) m

ean

age

of a

ir

(a)

(d)

(b)

(e)

(c)

(f)

(a)

(b)

book

case

clos

et

desk

bed

win

dow

s

Page 13: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

112

Part

Thr

ee -

Tec

hnic

al F

indi

ngs

Figu

re 1

7U

ncer

tain

eff

ects

of c

ombi

ned

win

d an

d st

ack

forc

es: (

a) re

info

rcin

g vs

. cou

nter

actin

g ef

fect

and

(b)

depi

ctio

n of

cou

nter

actin

g w

ind

and

stac

k ef

fect

s ov

er a

pro

gres

sion

of w

ind

spee

ds

Figu

re 1

6 CF

D re

sults

in th

e ce

nter

of t

he ro

oms

with

sta

ckef

fect

(red

– h

igh,

yel

low

– m

oder

ate

high

, gre

en –

mod

erat

elo

w, b

lue

– lo

w ):

(a) a

ir ve

loci

ty d

istr

ibut

ion

and

(b) a

irte

mpe

ratu

re d

istr

ibut

ion

Figu

re 1

8CF

D re

sults

in th

e ce

nter

of t

he ro

oms

with

the

com

bine

d w

ind

and

stac

k ef

fect

s (r

ed –

hig

h, y

ello

w –

mod

erat

e hi

gh, g

reen

– m

oder

ate

low

, blu

e –

low

): (a

) air

velo

city

dis

trib

utio

n an

d (b

) air

tem

pera

ture

dis

trib

utio

n

(a) (b)

(a)

(b)

(b)

(a)

T inT ou

t

win

d-

win

d+

1 m

/s2

m/s

3 m

/s4

m/s

STAC

KST

ACK

> W

IND

WIN

D >

STAC

KW

IND

>> S

TACK

Page 14: CHAPTER SIX - Purdue Engineeringyanchen/paper/2006-4.pdf · CFD generally includes large eddy simulation and Reynolds averaged Navier-Stokes equation modeling. Large eddy simulation,

113

Chap

ter S

ix -

Win

d in

Bui

ldin

g En

viro

nmen

t Des

ign

of th

e flo

w d

omai

n to

the

outd

oors

allo

ws u

s to

cons

ider

the

vert

ical

(hyd

rost

atic

) pre

ssur

e di

strib

utio

n.U

nder

a b

uoya

ncy-

driv

en s

cena

rio

(win

dles

sco

nditi

on),

the

tem

pera

ture

s in

each

spac

e in

crea

sed

with

heig

ht d

ue to

the

outs

ide

ther

mal

plu

me

from

one

room

ente

ring

the

room

abo

ve (a

s sho

wn

in F

igur

e 16

) des

pite

the

fact

tha

t th

e sp

aces

wer

e ph

ysic

ally

and

the

rmal

lyis

olat

ed fr

om o

ne a

noth

er. T

his c

an c

lear

ly b

e se

en fr

omth

e sh

ifts

in t

he g

raph

of

indo

or t

empe

ratu

re v

ersu

she

ight

, as

sho

wn

in F

igur

e 16

b (A

llocc

a, C

hen

and

Glic

ksm

an 2

003)

. Thi

s typ

e of

eff

ect s

eem

s pla

usib

le d

ueto

the

sm

all

dist

ance

bet

wee

n th

e up

per

open

ings

of

one

spac

e an

d th

e lo

wer

ope

ning

s of

the

spa

ce a

bove

.An

alyt

ical

sol

utio

ns o

r ex

perim

enta

l mea

sure

men

ts d

ono

t eas

ily d

iscov

er su

ch a

phe

nom

enon

foun

d in

the

CFD

sim

ulat

ion.

Alth

ough

the

stu

dy o

f pu

re b

uoya

ncy

effe

cts

onsi

ngle

-sid

ed v

entil

atio

n is

inte

rest

ing,

it is

mor

e us

eful

to e

xam

ine

the

effe

cts o

f com

bine

d w

ind

and

buoy

ancy

on t

he v

entil

atio

n. T

he e

xper

imen

ts (

Phaf

f et

al 1

980)

show

ed th

at, f

or a

par

ticul

ar te

sted

room

, win

d an

d st

ack

flow

rei

nfor

ced

each

oth

er. O

ur s

tudy

fou

nd t

hat

win

dan

d st

ack

forc

es d

id n

ot a

lway

s re

info

rce

each

oth

er. I

nfa

ct, t

hey

oppo

sed

each

oth

er in

som

e in

stan

ces.

This

ambi

guity

is il

lust

rate

d in

Fig

ure

17a.

An

exam

ple

of th

eco

unte

ract

ing

win

d an

d st

ack

effe

ct d

urin

g an

incr

easin

gpr

ogre

ssio

n of

win

d sp

eeds

is a

lso

show

n in

Fig

ure

17b.

A co

unte

ract

ing

win

d an

d st

ack

flow

too

k pl

ace

inth

e m

iddl

e un

it. Fi

gure

18a

show

s the

airf

low

at t

he m

id-

sect

ion

in th

e ro

om. T

he w

ind

forc

e at

the

uppe

r ope

ning

was

stro

nger

than

the

buoy

ancy

forc

e, th

ereb

y fo

rcin

g a

cloc

kwis

e flo

w in

to th

e un

it th

roug

h th

e up

per o

peni

ngan

d ou

t thr

ough

the

low

er o

peni

ng. S

ince

the

two

forc

esop

pose

d ea

ch o

ther

, the

ven

tilat

ion

was

red

uced

. As

are

sult

, th

e te

mpe

ratu

re i

n th

e m

iddl

e un

it w

as t

hehi

ghes

t, as

sho

wn

in F

igur

e 18

b. H

owev

er, i

n th

e up

per

unit,

the

win

d ai

ded

the

buoy

ancy

eff

ects

by

driv

ing

air

in th

roug

h th

e lo

wer

ope

ning

and

out

thro

ugh

the

uppe

rop

enin

g. T

he r

oom

air

tem

pera

ture

was

the

low

est

inth

e bu

ildin

g. In

the

low

er u

nit,

the

buoy

ancy

eff

ects

wer

est

rong

er t

han

the

oppo

sing

win

d ef

fect

s. Th

e ai

r st

illflo

wed

in fr

om t

he lo

wer

ope

ning

and

out

thr

ough

the

uppe

r op

enin

g. T

he c

orre

spon

ding

tem

pera

ture

in t

heun

it w

as m

oder

ate

sinc

e th

e w

ind

velo

city

was

low

erne

ar th

e ba

se o

f the

bui

ldin

g.Th

ere

are

no g

uidi

ng r

ules

to

dete

rmin

e w

here

coun

tera

ctin

g w

ind

and

stac

k ef

fect

will

occ

ur. O

rdin

ary

desig

n gu

ides

may

not

pro

vide

use

ful i

nfor

mat

ion,

unl

ess

deta

iled

air v

eloc

ity d

istr

ibut

ions

nea

r the

ope

ning

s ar

ekn

own.

It s

eem

s th

at C

FD a

naly

sis

can

prov

ide

deta

iled

info

rmat

ion

to a

des

igne

r, en

surin

g a

succ

essf

ul d

esig

nof

nat

ural

ven

tilat

ion

syst

ems.

SUM

MAR

Y

The

resu

lts in

this

chap

ter s

how

that

win

d ca

n ha

ve m

any

posi

tive

attr

ibut

es in

an

arch

itect

ural

env

ironm

ent s

uch

as p

rovi

ding

a c

omfo

rtab

le a

nd h

ealt

hy i

ndoo

ren

viro

nmen

t th

at c

an a

lso

save

ene

rgy

by m

eans

of

pass

ive

cool

ing

or n

atur

al v

entil

atio

n. H

owev

er, t

his

chap

ter

illus

trat

es t

hat

win

d ca

n al

so c

ause

dis

com

fort

to p

edes

tria

ns if

its

spee

d ar

ound

a b

uild

ing

is to

o hi

gh,

and

it ca

n al

so in

crea

se e

nerg

y lo

ss in

the

win

ter.

This

chap

ter h

as d

iscus

sed

diff

eren

t met

hods

ava

ilabl

efo

r win

d de

sign.

Am

ong

the

met

hods

stud

ied,

CFD

seem

sto

be

attr

activ

e fo

r bu

ildin

g en

viro

nmen

t de

sign

, sin

ceit

is th

e m

ost a

ffor

dabl

e, a

ccur

ate,

and

info

rmat

ive

whe

nit

is p

rope

rly a

pplie

d. T

his

chap

ter

has

also

illu

stra

ted

anu

mbe

r of a

rchi

tect

ural

indo

or a

nd o

utdo

or e

nviro

nmen

tde

sign

s th

at h

ave

utili

zed

CFD

. The

se in

clud

e:


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