Int
ern
at
i
onal
Journ
al of
P
ower E
le
ctr
on
i
cs a
n
d
Drive
S
ystem
s
(
IJ
PEDS
)
Vo
l.
12
,
No.
3
,
Septem
be
r 2021
, pp.
187
2
~
18
79
IS
S
N:
20
88
-
8694
,
DOI: 10
.11
591/
ij
peds
.
v12.i
3
.
pp
187
2
-
18
79
1872
Journ
al h
om
e
page
:
http:
//
ij
pe
ds
.i
aescore.c
om
Compari
son
of
roughness
index
f
or
K
itka
and
K
oznica
wind
farms
Bukuri
je
Ho
x
ha
,
Be
dri
Dragusha
Univer
sity
of
Pri
shtina
“Ha
san
Pr
ishti
na”,
Fa
culty
of
Me
cha
ni
ca
l
Engi
ne
eri
ng
,
Pri
stina
,
Kos
ovo
Art
ic
le
In
f
o
ABSTR
A
CT
Art
ic
le
hist
or
y:
Re
cei
ved
M
a
y
9
,
20
21
Re
vised
Ju
l
8
,
2
021
Accepte
d
J
ul
2
3,
20
21
Kos
ovo
has
lim
it
ed
ren
ewa
bl
e
ene
rgy
resourc
e
s
and
its
pow
er
gen
era
t
ion
sec
tor
is
b
ase
d
on
foss
il
fue
ls.
Su
ch
a
situ
ation
e
mpha
siz
es
the
i
mport
an
ce
of
ac
t
ive
r
ese
ar
ch
a
nd
eff
icien
t
use
of
ren
ewa
b
le
en
erg
y
pote
n
tial.
Acc
ording
to
the
an
al
ysis
of
me
t
eor
ological
dat
a
for
Kos
ov
o,
it
can
be
co
ncl
uded
tha
t
am
ong
th
e
most
at
tr
ac
t
ive
pot
enti
al
wind
power
si
te
s
are
the
lo
cati
ons
known
as
Kitka
(42°
29
'
41"
N
and
21°
36'
45"
E)
and
Koznic
a
(42°
39
′
32″
N,
21°
22′30″
E)
.
The
two
te
rr
ai
ns
in
which
the
an
al
ysis
was
c
arr
ie
d
ou
t
a
re
mount
ai
n
ar
ea
s,
with
altit
ud
es
of
1142
m
(Ki
tka
)
and
1230
m
(K
ozni
c
a).
the
same
measuring
he
ight
,
about
84
m
abov
e
the
g
round,
is
obt
ai
n
ed
for
th
ese
ave
rag
e
wind
s
pee
ds:
Ki
tka
6,
667
m/s
and
Koznica
6
,
16
m/
s
.
Sinc
e
the
diffe
ren
ce
in
wi
nd
spee
d
is
quite
la
rg
e
ver
sus
a
diffe
ren
ce
in
a
lt
i
tude
th
at
is
not
b
ei
ng
ver
y
l
arg
e,
ana
lys
es
ar
e
ma
de
r
ega
rd
in
g
th
e
te
rr
ai
n
ch
a
rac
t
eri
sti
cs
inc
ludi
ng
the
t
er
rai
n
relief
fe
at
ur
es.
In
thi
s
p
ape
r
it
wi
ll
be
studi
ed
how
muc
h
the
roughne
ss
of
th
e
terrai
n
inf
lue
nc
es
the
out
put
ene
rgy
.
Also,
that
the
assumpti
on
to
be
ta
k
en
th
e
sam
e
as
to
how
muc
h
the
y
wil
l
aff
ect
the
annu
al
ene
rgy
produ
ce
d
.
Ke
yw
or
d
s
:
Energ
y
yield
M
ou
ntain
Roug
hn
es
s
Win
d
directi
on
Win
d
s
pee
d
This
is
an
open
acc
ess
arti
cl
e
un
der
the
CC
BY
-
SA
l
ic
ense
.
Corres
pond
in
g
Aut
h
or
:
Be
dr
i
Dr
a
gusha
Dep
a
rteme
nt
of
M
echa
nical
E
ng
i
neer
i
ng
Un
i
ver
sit
y
of
P
rishtina
“
Hasa
n
P
rishtina”
,
P
r
ist
ina
,
K
osovo
Emai
l:
bedri.m
.drag
usha@
uni
-
pr.e
du
1.
INTROD
U
CTION
Be
cause
of
t
he
harmf
ul
co
ns
e
qu
e
nces
of
pol
luti
on
from
t
he
emissi
ons
of
var
i
ous
ga
ses,
ren
e
wa
ble
energ
y
s
ources
incr
easi
ngly
ga
in
in
im
porta
nce.
T
he
wind
is
a
natu
ral
phenomen
on
rela
te
d
to
the
m
ov
ement
of
ai
r
pas
ses
c
ause
d
pri
maril
y
by
dif
fer
e
ntial
so
la
r
heati
ng
of
the
earth'
s
su
r
face
[1
]
,
[2
].
E
uro
pean
c
ount
ries
by
an
a
gr
e
eme
nt
hav
e
decide
d
to
s
uppl
y
20
pe
rce
nt
of
its
total
ene
rgy
de
man
d
from
re
new
a
ble
sourc
es
by
2020.
We
a
re
now
one
yea
r
after
that
a
gr
ee
ment,
a
nd
we
can
see
how
fa
r
K
osovo
has
c
om
e
in
achie
vi
ng
t
his
go
al
.
T
his
go
al
has
bee
n
ac
hi
eved
by
co
ns
i
der
i
ng
bi
om
as
s
as
it
is
not
w
idely
us
e
d
for
heati
ng
need
s
,
wh
il
e
oth
e
r
ren
e
wa
ble
sou
rces
rema
in
la
r
gely
in
the
sha
de
.
T
he
pote
ntial
is
for
al
l
resou
rces,
but
le
gal
re
gu
l
at
ions
hav
e
bee
n
a
ble
to
dev
el
op
to
a
li
mit
ed
e
xte
nt
.
In
two
yea
rs
(
2008
an
d
2009),
m
ore
t
han
24,
000
MW
of
ne
w
powe
r
ca
pacit
y
base
d
on
wi
nd
e
nerg
y
was
instal
le
d
in
the
EU
c
ount
ries
[
1].
N
ow
a
da
ys,
wind
ene
r
gy,
as
an
al
te
rn
at
ive
cl
ean
sust
ai
nab
le
energ
y
sour
ce,
has
bee
n
recogn
iz
e
d
as
one
of
the
fastest
de
velo
ping
re
ne
wab
l
e
energ
y
s
ource
te
chnolo
gies.
Win
d
powe
r
ge
ner
at
io
n
has
made
a
re
mar
ka
ble
co
ntri
bu
ti
on
to
daily
li
fe
acr
oss
the
globe
a
nd
has
gro
w
n
rap
i
dly
ove
r
the
pa
st
20
yea
rs
[
3
].
As
a
re
new
a
ble
e
nerg
y
s
ou
rce
with
t
he
hi
gh
e
st
grow
t
h
rate
in
the
la
st
two
decad
e
s,
wind
ene
rgy
is
co
ns
ide
red
a
very
im
portant
re
so
urce
of
el
ec
tric
it
y
pro
du
ct
io
n
in
the
fu
t
ur
e
.
T
he
f
or
ecast
s
for
t
he
de
velo
pm
e
nt
of
wi
nd
e
ne
rgy
a
re
hi
gh
l
y
opti
mist
ic
an
d
sta
te
that
this
typ
e
of
e
nerg
y
will
be
imp
or
ta
nt
in
the
f
uture
[
4]
,
[5
].
Win
d
t
urbines
operat
e
at
al
titud
e,
a
nd
it
is
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t J
P
ow Elec
& Dri S
ys
t
IS
S
N: 20
88
-
8
694
Compari
son
of
rough
ness
i
nd
ex for
Ki
tk
a
an
d
K
oz
nic
a
wi
nd fa
rms
(
B
uk
uri
je
H
ox
ha
)
1873
importa
nt
to
know
w
hat
ha
ppens
to
ai
r
densi
ty
as
al
ti
tud
e
i
ncr
ease
s.
T
he
densi
ty
of
ai
r
va
ries
with
al
ti
t
ud
e
,
so
it
is
a
decr
ea
sing
functi
on.
So
a
bove
,
the
ai
r
is
li
gh
te
r.
T
his
al
lows
le
ss
aerod
ynamic
s
to
be
c
reated
sp
onta
neously
[
6]
,
[7
].
The
pr
ima
r
y
mete
orolo
gical
facto
r
in
eval
uating
a
pros
pe
ct
ive
wind
t
urbi
ne
sit
e
is
the
mean
wi
nd
sp
ee
d.
Anothe
r
imp
ort
ant
pa
rameter
is
t
he
antic
ipate
d
e
xtreme
wind
s
peed
[
8
]
,
[
9
].
Win
d
power
plants
gen
e
rate
el
ect
r
ic
it
y
w
hen
the
wind
is
bl
ow
i
ng,
an
d
t
he
plan
t
outp
ut
dep
e
nds
on
t
he
wind
sp
ee
d.
Win
d
s
peeds
cannot
be
pre
dicte
d
with
hi
gh
acc
uracy
over
daily
per
i
ods,
a
nd
the
wind
oft
en
fluct
uates
f
rom
mi
nu
te
to
minu
te
a
nd
ho
ur
to
an
ho
ur
[
10]
,
[11
].
In
fa
ct
,
the
wind
al
s
o
va
ries
eve
ry
seco
nd
due
to
tur
bule
nce
ca
use
d
by
la
nd
feat
ur
es
,
t
hermal
s
ources
,
a
nd
s
pecific
weathe
r
c
ondit
ion
s
.
It
al
s
o
bl
ow
s
more
strongl
y
highe
r
a
bove
the
gro
und
t
han
cl
os
er
to
it,
due
to
s
urface
fr
ic
ti
on
[12
]
,
[13
].
Total
energ
y
pro
duct
ion
a
nd
capaci
ty
fact
or
are
fun
dame
nt
al
aspects
of
a
wind
powe
r
project
.
To
determi
ne
t
he
op
ti
m
um
e
nergy
ou
t
pu
t,
it
is
esse
ntial
to
sel
ect
the
rig
ht
tur
bin
e
desig
n
f
or
a
l
ocati
on
[
14
].
Win
d
t
urbine
op
e
rati
on
is
de
pende
nt
on
w
ind
sp
ee
ds
to
gen
e
rate
powe
r
[
15
].
S
us
ta
in
abili
ty
eval
uation
of
wind
re
sour
ce
s
can
be
pe
rfo
rme
d
us
in
g
dif
fer
e
nt
ap
proac
hes
th
at
are
c
ompleme
nta
ry
betwee
n
eac
h
oth
e
r:
therm
o
-
ec
onomi
c
an
al
ys
is
(e
nerg
y
a
nd/or
e
xerg
y
cal
c
ulati
on
s
),
li
fe
cycle
assess
ment
(
w
hich
is
a
m
ulti
crit
eria
pro
du
ct
-
ori
ent
ed
a
nalysis
),
emer
gy
ap
pro
ach
(a
ho
li
sti
c
ap
proac
h
dono
r
side
ori
e
nted
).
T
hese
diff
e
re
nt
assessme
nt
ap
proac
hes
we
re
c
ompare
d
one
by
one
an
d/or
c
ombine
d
[1
6
],
[
17
].
Ann
ual
e
nerg
y
pr
oduce
d
is
ty
pical
ly
cal
c
ulate
d
ref
e
rr
i
ng
to
the
a
nnual
me
an
wind
s
peed
of
the
sit
e.
Unfortu
natel
y,
the
a
nnual
av
erag
e
wind
spe
ed
va
ries
sig
nificantl
y
[1
8
].
Op
e
rati
on
of
the
in
div
i
du
al
wi
nd
tur
bin
es
ma
y
be
ad
ve
rsely
im
pacted
by
the
tur
bule
nt
wa
kes
f
rom
oth
e
r
up
wind
t
urbines
,
with
t
he
mag
ni
tud
e
of
the
im
pact
dep
e
ndin
g
la
rgel
y
on
the
t
urb
ines’
res
pecti
ve
r
otor
siz
es
a
nd
distance
bet
ween
one
a
no
t
her,
as
well
as
on
the
ov
e
rall
sh
a
pe
of
t
he
wi
nd
fa
rm
a
nd
t
urbine
sp
aci
ng
th
erei
n
[1
9
].
Wi
nd
s
hear
in
ope
n
gro
und
wh
e
n
deali
ng
with
distances
e
.
g
.,
10m
in
it
hav
e
a
gr
ea
te
r
ef
fect
tha
n
w
hat
is
found
in
the
fiel
d.
N
ow
increasin
g
the
heig
ht
t
hese
do
not
ha
ve
high
im
pact.
T
his
ef
fect,
ho
wever,
has
t
he
e
ffec
t
of
re
du
ci
ng
t
he
energ
y
ge
ner
at
ed
by
a
tu
rb
i
ne
,
an
d
the
n
the
entire
wi
nd
fa
rm
[
20]
,
[
2
1
].
The
el
ect
rici
ty
factor
pro
duc
ed
by
wind
e
nerg
y
ra
ng
e
s
f
r
om
20
to
40%
,
in
gen
e
ral
[
22],
[23
].
The
value
of
t
he
ca
pacit
y
fac
tor
for
wind
t
urbi
nes
in
K
oso
vo
is
e
sti
mate
d
to
be
25%
[
24
].
Ba
s
ed
on
the
anal
ys
is
done,
we
can
asse
ss
pr
e
ci
sel
y
w
hethe
r
these
two
places
ha
ve
the
po
te
ntial
to
co
ntri
bu
te
to
the
local
ene
rgy
pro
du
ct
io
n
.
2.
RESEA
R
CH
METHO
D
The
met
hodol
ogy
us
e
d
in
t
hi
s
pa
per
c
onsist
s
of
co
nsult
ing,
stu
dy
i
ng,
a
na
lyzing,
a
nd
co
mp
a
rin
g
the
data
for
wind
sp
ee
d,
wind
di
recti
on
a
nd
the
main
c
ompon
ents
to
a
nalyze
the
r
oughne
ss
in
t
hose
te
r
rai
ns
.
In
this
case
the
re
are
us
ed
one
yea
r
meas
ur
e
ment
f
or
two
wind
farms,
K
it
ka
an
d
K
oz
ni
ca.
T
his
met
hod
of
analysis
is
si
m
ple,
a
nd
we
a
ss
um
e
or
hy
po
t
he
siz
e
that:
in
our
ca
se
we
are
deali
ng
with
two
m
ountain
t
err
ai
ns,
we
ha
ve
t
he
sa
me
wind
direc
ti
on
,
an
d
their
geog
raphical
c
oor
din
at
es
(
Koznica:
N
42.59
880°
;
E
21.
35468°
,
K
i
t
k
a
N
4
2
.
3
9
5
6
°
E
2
1
.
3
9
3
6
°
)
a
r
e
v
e
r
y
c
l
o
s
e
so
we
w
i
l
l
e
x
p
e
c
t
to
h
a
v
e
r
e
s
u
l
t
s
s
a
m
e
to
t
h
e
e
f
f
e
c
t
of
r
o
u
g
h
n
e
s
s
.
2.1.
Site
descr
iption
and
d
at
a’
s
f
or
K
oz
nica
The
WPP
K
oz
nica
is
in
K
oso
vo,
ap
pro
ximat
el
y
16
km
s
ou
t
h
-
east
of
Pr
ist
ina
an
d
7
km
w
est
of
Nov
o
Brdo.
F
or
the
a
nalysis
of
wi
nd
cha
racteri
sti
cs
an
d
wi
nd
e
nergy
po
te
ntial
of
the
Ko
z
nica
sit
e,
the
me
asu
re
ment
data
for
t
he
one
-
yea
r
pe
rio
d
01/0
5/2015
–
30/04
/2
016
hav
e
been
us
e
d.
The
tur
bi
nes
pr
e
se
nted
in
Ta
ble
1,
ar
e
not
l
o
c
a
t
e
d
at
t
h
e
s
a
m
e
d
i
s
t
a
n
c
e
s
,
due
to
t
h
e
u
n
s
u
i
t
a
b
l
e
t
e
r
r
a
i
n
,
b
u
t
t
h
e
p
l
a
c
e
m
e
n
t
w
a
s
d
o
n
e
u
s
i
n
g
W
A
s
P
s
o
f
t
w
a
r
e
.
Table
1.
Det
ai
ls
of
al
l
tu
rb
i
ne
s
place
d
in
K
oz
nica
Turb
in
e
no.
Co
o
rdin
ate
of
tu
rbin
e
p
lacem
en
t
Level
ab
o
v
e
sea
(m)
X(m)
Y(m)
"T
1
"
5
2
9
0
8
7
4
7
1
6
2
9
8
1009
"T
2
"
5
2
8
9
2
7
4
7
1
6
9
3
0
1009
"T
3
"
5
2
8
9
0
9
4
7
1
7
5
4
0
1027
"T
4
"
5
2
9
6
3
1
4
7
1
7
1
8
8
996
"T
5
"
5
2
9
0
5
1
4
7
1
8
5
6
3
988
"T
6
"
5
2
8
7
0
9
4
7
1
8
8
8
6
998
"T
7
"
5
2
8
9
1
0
4
7
2
0
2
8
3
1084
"T
8
"
5
2
9
1
9
8
4
7
1
9
9
7
2
1052
"T
9
"
5
2
9
5
5
5
4
7
1
9
9
8
6
1081
"T
1
0
"
5
2
9
8
4
3
4
7
2
0
2
1
4
1071
Ko
z
nica
is
determine
d
with
t
he
database
E
SA
Globco
ve
r
2009.
Mode
li
ng
of
the
te
rr
a
in
r
oughne
ss
was
c
onduct
ed
by
est
imat
ing
the
r
ough
ness
le
ng
t
h
of
the
fiel
d
in
acc
ord
ance
with
the
method
ology
of
t
he
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2088
-
8
694
In
t J
P
ow
Ele
c
&
D
ri
S
ys
t,
V
ol
.
12
, N
o.
3
,
Se
ptembe
r
2021
:
187
2
–
18
79
1874
Euro
pean
Atla
s
of
the
winds
.
By
usi
ng
this
da
ta
base
a
nd
t
he
software
pac
ka
ge
WA
s
P
M
a
p
E
ditor,
the
m
ap
of
the
r
ough
ness
of
te
rr
ai
n
w
as
made
t
hat
incl
ud
e
d
a
wi
der
t
arg
et
reg
i
on
co
mprisi
ng
20
x20
km
2
of
the
te
rr
it
ory
of
the
ta
r
get
re
gion.
Cha
nges
in
the
r
ough
ne
ss
of
the
te
rr
ai
n
of
the
ta
r
get
reg
i
on
K
oz
nic
a,
wh
ic
h
was
use
d
for
making
the
W
AsP
f
old
e
r,
is
sh
ow
n
in
t
he
s
at
el
li
te
image
of
the
te
r
rain
(
Goo
gle
Ea
rth
)
in
the
fig
ur
e
be
low.
In
this
fig
ur
e
,
the
locat
ion
of
W
PP
K
oz
nica
is
ind
ic
at
ed
with
red
c
onto
ur
li
ne
.
The
te
rr
ai
n
s
how
n
in
Fig
ure
1
on
wh
ic
h
the
co
nst
ru
ct
io
n
of
W
PP
K
oz
nica
is
plan
ne
d
is
rel
at
ively
sim
ple
in
te
rm
s
of
r
oughne
ss
a
nd
can
be
descr
i
bed
with
af
forested
valle
ys
with
relat
ively
hi
gh
rou
ghne
ss,
an
d
ba
r
ed
rid
ges
w
he
r
e
the
co
ns
tr
uct
ion
of
wind
tu
rb
i
nes
is
plan
ne
d.
La
yout
of
te
n
wind
tur
bin
es
in
Koznica
is
well
s
how
n
in
F
ig
ure
2,
w
her
e
t
he
sit
ti
ng
of
them
is
f
oc
use
d
in
that
wa
y
that
te
nds
to
s
ave
3D
dista
nc
e
.
Figure
1.
The
r
oughne
ss
ma
p
of
the
wide
r
te
r
ra
in
at
t
he
ta
r
ge
t
reg
i
on
of
W
PP
Ko
z
nica
(which
is
in
dicat
ed
in
red
co
ntour
li
ne
)
Figure
2.
Lay
out
f
or
the
1
0
tu
rb
i
nes
for
the
project
WPP
K
oz
nica
2.2.
Site
descr
iption
and
d
at
a
for
K
itk
a
Kitka
wind
farm
sit
e
is
in
a
c
omple
x
mou
ntainous
reg
i
on,
sh
ow
n
in
F
ig
ur
e
3.
Alth
ough
t
he
sl
op
es
of
the
te
rr
ai
n
were
high,
no
cl
if
f
s
we
re
ob
s
er
ve
d.
Tu
rb
i
nes
a
re
plan
ne
d
on
the
plate
au
of
m
ountain
rid
ge
r
unning
north
west
-
s
outheast
di
recti
on.
Sit
e
el
evati
ons
ra
ng
e
f
rom
960
m
to
1090
m
f
rom
sea
le
ve
l.
The
te
rr
ai
n
her
e
is
made
up
of
grass
of
ag
ricult
ur
al
la
nd
a
nd
forest
areas
[2
5
]
,
[
26
].
Since
we
are
deali
ng
with
m
ounta
inous
te
rr
ai
n,
the
n
he
re
too
the
re
are
trees,
but
th
ey
are
fa
r
f
r
om
the
place
w
he
re
the
wi
nd
tur
bi
ne
s
are
placed.
Lo
w
-
densi
ty
rural
s
et
tl
ements
are
pr
ese
nt
in
the
vicinit
y,
an
d
t
his
has
bee
n
t
aken
int
o
c
ons
iderati
on
wh
ile
wind
tur
bin
e
micr
o
s
it
ing
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t J
P
ow Elec
& Dri S
ys
t
IS
S
N: 20
88
-
8
694
Compari
son
of
rough
ness
i
nd
ex for
Ki
tk
a
an
d
K
oz
nic
a
wi
nd fa
rms
(
B
uk
uri
je
H
ox
ha
)
1875
Figure
3.
Vie
w
of
K
it
ka
te
r
rain
wh
e
re
t
urbin
es
are
mou
nted
(
photo
ta
ke
n
be
fore
m
ounti
ng)
Sit
e
consi
sts
of
7
un
it
s
of
G
E3.6
MW
tu
r
bi
nes
a
nd
3
uni
ts
of
G
E3
.2
MW
tu
r
bin
es
,
as
show
n
in
Fig
ur
e
4
.
Turbine
s
a
re
locat
ed
re
ga
rd
i
ng
wind
pote
nt
ia
l,
sit
e
acce
s
sibil
it
y,
public
la
nd
us
a
ge
an
d
pri
vate
la
nd
us
a
ge
.
Same
as
in
K
oz
nica
case,
the
r
e
al
so
is
te
nde
d
to
sa
ve
the
di
sta
nce
of
3D
di
sta
nce
bet
ween
them.
In
t
he
c
ase
of
Kitka
si
nce
we
ha
ve
a
c
ha
ng
e
in
the
capaci
ty
of
the
t
urbines
,
lo
ok
i
ng
at
F
ig
ur
e
4
it
ma
y
se
em
that
3D
dist
anc
e
is
not
sa
ved
he
re.
But
e
ve
n
her
e
t
his
dist
ance
is
maint
ai
ned
,
but
sin
ce
the
capaci
t
y
cha
nges
the
n
their
diamet
er
al
s
o
c
hanges
as
is
presented
in
Ta
b
le
2,
wh
e
n
we
ha
ve
3.6
MW
a
nd
3.2
MW.
T
he
wind
fa
rm
c
onsist
s
of
7
un
it
s
of
GE
3.6
MW
t
urbines
an
d
3
un
it
s
of
GE
3.2
MW
t
urbi
nes
wh
e
re
the
posit
ion
s
of
them
is
pr
ese
nted
in
T
able
3
.
T
he
tu
r
bin
es
a
re
locat
ed
re
ga
rd
i
ng
w
ind
po
te
ntial
,
s
it
e
acce
ssibil
ity
,
public
la
nd
us
a
ge
and
pri
vate
la
nd
us
a
ge.
Figure
4.
10
wi
nd
tu
rb
i
nes
in
Kitka
wind
park
Table
2.
T
urbi
ne
la
yo
ut
s
ummar
y,
us
e
d
in
Kitka
wind
far
m
Turb
in
e
ty
p
e
7
x
GE
3
.6
-
137
3
x
GE
3
.2
-
130
Hu
b
h
eig
h
t
110
m
Rated
p
o
wer
3600
kW
&
3200
kW
Nu
m
b
er
of
tu
rbin
es
10
Ins
talled
capacity
3
4
.8
MW
Table
3.
Plac
ement
of
wi
nd
tur
bin
es
an
d
c
oor
din
at
es
for
wind
far
m
in
Kitka
Turb
in
e
No
.
X
Y
Level
ab
o
v
e
sea
(
m
)
T1
5
4
4
9
1
8
4
7
2
6
4
8
3
9
6
6
.6
T2
5
4
5
2
0
5
4
7
2
5
6
9
5
1
0
0
0
.0
T3
5
4
6
0
3
4
1
7
2
6
5
2
5
1
0
3
9
.0
T4
5
4
6
4
2
3
4
7
2
6
0
9
4
1
0
1
9
.9
T5
5
4
6
7
4
1
4
7
2
5
6
7
1
1
0
9
0
.0
T6
5
4
7
0
7
6
4
7
2
5
9
9
9
1
0
6
0
.0
T7
5
4
7
4
2
7
4
7
2
6
2
2
6
1
0
3
1
.8
T8
5
4
6
5
4
5
4
7
2
4
3
4
1
1
0
7
0
.0
T9
5
4
6
8
7
8
4
7
2
3
9
9
3
1
0
8
0
.0
T10
5
4
7
2
5
8
4
7
2
4
2
3
4
1
0
4
0
.0
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2088
-
8
694
In
t J
P
ow
Ele
c
&
D
ri
S
ys
t,
V
ol
.
12
, N
o.
3
,
Se
ptembe
r
2021
:
187
2
–
18
79
1876
2.3.
Basis
f
or
comp
ariso
n
b
etw
ee
n
t
he
two
loc
ati
on
s
Fr
om
t
he
data
pr
ese
nted
a
nd
t
ho
s
e
mea
sured
in
t
he
fiel
d,
s
ome
c
omparis
ons
ca
n
be
ma
de
f
or
the
two
wind
parks,
as
:
−
Com
par
is
on
of
the
c
hange
in
wind
s
pee
d
over
the
m
on
t
hs
−
Com
par
is
on
of
al
ti
tud
e
for
ea
ch
tu
r
bin
e
in
the
two
wi
nd
pa
r
ks
−
Com
par
is
on
of
the
le
vel
of
the
te
rr
ai
n
r
ough
ness
i
nd
e
x
−
Com
par
is
on
of
horiz
on
ta
l
distance
betwee
n
t
he
wind
tu
r
bine
s
in
t
he
re
sp
ec
ti
ve
pa
rk
s
Durati
on
of
mi
nimum
wind
s
peed
ne
ede
d
to
sta
rt
wi
nd
tu
rb
i
ne
a
nd
ma
xi
mu
m
wi
nd
spe
ed
is
al
s
o
pre
sented
for
two
l
ocati
ons.
3.
RESU
LT
S
A
ND
DI
SCUS
S
ION
The
dia
gr
am
s
in
t
he
fo
ll
owin
g
fig
ur
es
pr
ese
nt
c
omparis
on
of
se
ver
al
im
porta
nt
par
amet
ers
betwee
n
the
two
l
ocati
on
s
.
T
he
dia
gram
in
F
ig
ur
e
5
pr
ese
nts
me
an
wind
s
pee
d
f
or
t
wo
locat
i
on
s
meas
ured
in
same
heig
ht,
84m.
As
we
ca
n
see
,
in
F
i
gure
5,
as
mean
wind
s
pe
ed
is
higher
in
Kitka,
al
s
o
for
diff
e
re
nt
m
on
t
hs
in
Kitka,
wind
spe
ed
is
higher
.
In
the
sa
me
figure
we
pr
e
se
nted
t
he
wind
directi
on
for
K
it
ka
an
d
Ko
z
ni
ca
f
or
one
yea
r
meas
ur
e
ment
in
th
os
e
l
ocati
on
s
.
In
t
he
oth
e
r
pa
rt,
In
Fig
ur
e
s
6
(a)
-
(
b
)
we
pr
ese
nted
the
wind
directi
on
for
K
it
ka
an
d
K
ozn
i
ca
f
or
one
yea
r
meas
ur
e
ment
in
th
os
e
locat
ion
s
,
w
her
e
a
is
f
or
Kitka
a
nd
b
for
Ko
z
nica
.
The
pred
om
i
nan
t
dir
ect
ion
ca
n
be
s
een
to
be
mai
nly
from
t
he
s
outh
-
east
,
f
or
both
wind
farms.
Figure
5.
Com
par
is
on
of
Kitk
a
an
d
Ko
z
nica
moun
ta
in
s
m
onthly
wi
nd
s
pe
ed
(
a
)
(
b
)
Figure
6
.
Com
par
is
on
of
Kitk
a
an
d
Ko
z
nica
moun
ta
in
s
wind
directi
on
,
(
a
)
Kitka
a
nd
(
b
)
Ko
z
nica
Win
d
di
recti
on
is
an
el
ement
that
mu
st
be
ta
ken
i
nto
c
onsiderati
on
in
c
ompa
rison
to
a
la
rg
e
e
xten
t
and
e
sp
eci
al
ly
for
real
insta
ll
at
ion
.
To
ac
cur
at
el
y
as
ses
s
the
directi
on
of
t
he
wi
nd
in
a
place
we
need
measu
reme
nts
of
at
le
ast
one
year.
Ele
vatio
n
is
al
s
o
of
high
imp
ort
ance,
as
can
be
s
een
in
F
ig
ure
6,
al
ti
tud
e
is
higher
in
K
ozni
ca,
an
d
in
tu
rbi
nes
T8
a
nd
T
9.
0
5
10
Kozni
c
a
Ki
t
ka
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t J
P
ow Elec
& Dri S
ys
t
IS
S
N: 20
88
-
8
694
Compari
son
of
rough
ness
i
nd
ex for
Ki
tk
a
an
d
K
oz
nic
a
wi
nd fa
rms
(
B
uk
uri
je
H
ox
ha
)
1877
Figure
7
.
Com
par
is
on
bet
wee
n
the
al
ti
tud
e
at
wh
ic
h
the
wi
nd
tu
rb
i
nes
a
re
instal
le
d
The
r
ugge
dnes
s
ind
e
x
(R
IX)
is
descr
i
bed
in
detai
l
in
Bowe
n
(
1996)
,
Mo
rtense
n
(
1997)
,
and
B
ow
e
n
(2004
).
The
fo
ll
owin
g
con
cl
us
io
ns
re
gardin
g
R
IX
c
an
be
ma
de:
−
If
the
R
IX
is
cl
os
e
to
ze
r
o,
th
en
the
te
r
rain
is
ge
ner
al
ly
le
s
s
ste
ep
the
n
0.3
an
d
the
ai
rf
l
ow
in
the
reg
i
on
is
li
kely
to
be
at
ta
ched.
−
If
the
RIX
is
gr
eat
er
tha
n
z
er
o,
the
n
pa
rts
of
t
he
te
r
rain
are
s
te
eper
tha
n
0.3
an
d
flo
w
sepa
rati
on
ma
y
occ
ur
in
s
om
e
sect
ors
[
27
]
,
[
2
8
].
dRIX
is
t
he
orogra
ph
ic
perf
orma
nce
in
dicat
or.
dRIX
=
RIX
WTG
RIX
met,
ma
st
Th
os
e
in
dicat
or
relat
io
nships
are
de
scri
bed
in
F
i
gure
7
for
Kitka
a
nd
K
oz
nica,
a
nd
as
we
s
how
in
diag
ram.
For
Kitka
as
dRIX
values
bet
we
en
met
mast
a
nd
tur
bin
e
loc
at
ion
s
a
re
in
t
he
ra
nge
of
2
–
8%,
simi
la
rity
pri
nc
iple
can
be
sa
id
to
be
m
os
tl
y
achiev
ed
.
F
or
Ko
z
nica
it
ca
n
be
c
on
cl
uded
that
the
predict
i
on
of
pro
du
ct
io
n
f
or
wind
t
urbine
s
1
-
8
is
gen
e
rall
y
a
ccepta
ble,
wh
il
e
f
or
the
t
urbine
9
an
d
10
t
he
unce
rtai
nt
y
in
t
he
est
imat
ion
of
pro
du
ct
io
n
is
s
ign
ific
a
ntly
hig
he
r
beca
us
e
dR
IX
for
tu
r
bine
9
is
8
%,
a
nd
for
tu
rb
i
ne
10
it
is
11
%.
In
a
dd
it
i
on,
the
tu
rb
i
ne
s
8,
9
a
nd
10
a
re
locat
e
d
at
a
bout
4
km
of
t
he
meas
ur
in
g
m
ast
,
so
the
e
sti
mati
on
of
pote
ntial
in
t
hese
l
ocati
ons
is
with
si
gn
i
ficant
unce
rtai
nty.
Fr
om
wh
at
we
can
see
f
rom
t
he
in
sta
ll
at
ion
of
wind
t
urbin
es
f
or
both
pa
r
ks
,
refe
r
red
to
as
Kitka
an
d
Ko
z
nica,
it
fo
l
lows
t
hat
the
tur
bin
es
T1
a
nd
T2
have
the
la
rg
e
r
distanc
e
com
pa
red
with
oth
e
r
t
urbines
in
Kitka
a
nd
sam
e
tur
bin
e
s
T7
and
in
K
oz
nica,
an
d
w
he
n
we
co
mp
a
re
e
ne
rgy
pro
du
ct
i
on
those
distance
s
ar
e
very
i
nterested
in
wind
tu
r
bine
s
interact
io
n
a
nd
total
en
er
gy
pro
duct
ion.
Figure
8
.
Re
la
ti
on
s
hip
bet
wee
n
RI
X
a
nd
dRIX,
for
K
ozn
ic
a
an
d
Kitka
wind
parks
4.
CONCL
US
I
O
NS
The
pa
rt
that
is
cu
rr
e
ntly
ope
rati
ng
as
a
wind
park,
Kitka
is
locat
ed
on
the
east
er
n
si
de
of
K
oso
vo
and
al
s
o
the
sit
e
wh
e
re
meas
ureme
nts
were
made
in
t
hat
pa
rt,
na
mely
K
oz
nica.
T
he
anal
ys
is
sho
ws
that
Kitka
has
a
dRIX
big
ge
r
tha
n
K
oz
nica,
but
e
ve
n
this
ha
rs
hn
es
s
of
te
rr
ai
n
has
not
aff
e
ct
ed
t
he
ov
e
rall
pote
ntial
-2
0
2
4
6
8
10
12
0
2
4
6
8
10
12
d
R
IX
Turbi
n
e
No
.
Koz
nica Dri
x
Kitk
a Drix
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2088
-
8
694
In
t J
P
ow
Ele
c
&
D
ri
S
ys
t,
V
ol
.
12
, N
o.
3
,
Se
ptembe
r
2021
:
187
2
–
18
79
1878
energ
y
pro
du
ct
ion
as
m
uch
as
the
wi
nd
s
pee
d,
due
to
the
s
hap
e
of
the
te
r
rain
that
e
na
bles
it.
M
a
ny
ti
mes,
in
the
case
of
pr
a
ct
ic
al
reali
zat
i
on
wh
e
n
we
a
r
e
de
al
ing
with
the
sa
me
te
rr
ai
ns
,
as
in
this
moun
ta
in
ous
c
ase
a
nd
wh
e
n
a
pproxi
mate
ly
the
wi
nd
blows
in
one
directi
on,
RIX
are
ta
ken
the
same.
F
rom
this
analy
sis
we
can
con
cl
ud
e
t
hat
this
a
ppro
ac
h
sh
oul
d
not
be
su
c
h.
Re
ga
rd
i
ng
t
he
e
ff
ic
ie
nc
y
of
t
he
t
urbin
es
us
ed
,
it
de
pe
nds
la
rg
el
y
on
the
wind
spe
ed
,
but
the
hei
ght
of
the
tu
rb
i
nes
is
an
im
portant
factor
as
well
,
due
to
the
ve
locit
y
change
with
he
igh
t.
Ca
lc
ulati
on
s
s
how
that
tur
bin
es
hav
e
t
he
highest
ef
fici
en
cy,
as
e
xp
e
ct
ed,
at
Kitka
,
due
to
the
hi
gh
e
r
wi
nd
s
peed
s
.
On
t
he
ot
her
ha
nd,
as
mentio
ne
d
above,
t
her
e
w
ere
two
di
ff
e
re
nt
type
s
of
ca
pa
ci
ty
tur
bin
es,
3.2
MW
a
nd
3.6
MW.
An
el
e
ment
that
has
an
im
pact
on
the
ove
rall
powe
r
ge
ne
rati
on
is
t
he
di
sta
nce
betwee
n
the
tu
rb
i
nes.
For
sta
ble
ope
rati
ng
c
onditi
ons,
it
is
necessa
ry
f
or
them
to
sta
y
in
3ꞏD
distances
.
If
we
consi
der
that
the
t
urbines
will
be
in
operati
on
for
5000
ho
ur
s
durin
g
t
he
year,
t
hen
this
will
res
ult
in
a
nnual
pro
du
ct
io
n
of
a
bout:
5582
9.4
MWh
at
K
oz
nica
,
an
d
5501
9.873
M
W
h
at
K
it
ka
wind
pa
rk
,
and
total
ly
110.84
9
GWh.
T
he
dif
f
eren
ce
of
ene
r
gy
producti
on
from
th
os
e
t
w
o
wind
farms
is
80
9.527
MW
h.
Acc
ordin
g
to
data
from
the
Ene
rgy
Re
gu
la
to
r
y
Office
of
K
oso
vo,
it
fo
ll
ows
t
hat
the
an
nual
aver
a
ge
of
e
ne
rgy
us
e
d
in
Kosovo
is
583500
0
G
Wh/
year
,
so
by
usi
ng
th
os
e
wind
fa
rms,
we
will
ha
ve
0.0
018%
of
el
ect
rical
ene
rgy
ge
ne
ra
te
d
by
tho
se
two
wind
farms.
REFERE
NCE
S
[1]
D.
Lom
b
ard
i
,
“
Dyna
mics
of
off
shore
wind
tu
rbi
nes
,
”
MSc
the
sis
,
Univer
si
ty
of
B
ristol
:
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istol
,
U
K,
2010.
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A.
H.
Almukh
ta
r
,
“
Eff
e
ct
of
dra
g
on
the
per
for
mance
for
an
eff
i
cient
wind
turbi
n
e
bla
de
design
,”
Ene
rgy
Proce
di
a
,
vol.
18
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2012
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W.
Pros
me
n,
S.
Janja
i
,
and
T.
T
ant
a
le
chon
,
“
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of
win
d
en
erg
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po
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nt
i
al
of
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mp
ot
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South
er
n
Cam
bodia,”
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e
rgy
Proce
d
ia
,
vo
l.
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V.
Mi
ja
kovski,
“
Revi
ew
of
wind
ene
rgy
pot
ent
i
al
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ce
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oper
a
ti
on
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the
first
wind
p
ark
in
Repub
li
c
of
Mac
edoni
a
,
”
Confe
ren
ce
:
1
8th
Symposium
on
Therm
al
Sc
i
enc
e
and
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n
ee
ring
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a
at
:
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ja
,
Serbia
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2017
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S.
Os
ma
naj
,
B.
Hoxha,
and
R.
Seli
m
aj,
“
An
exp
eri
m
ent
a
l
study
of
wind
dat
a
of
a
wind
far
m
in
Kos
ovo,
”
Przegl
ad
El
e
kt
rote
chni
czn
y
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vo
l.
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no.
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B.
Hoxh
a,
R.
Se
li
maj,
and
S.
Os
ma
na
j,
“
An
exp
eri
m
ent
a
l
study
of
W
ei
bu
ll
and
Rayl
ei
gh
d
istri
b
uti
on
func
t
ions
of
wind
spee
ds
in
Kos
ovo,
”
Teleco
mm
unic
ati
on,
C
omputing,
El
e
ct
r
onic
s
and
Contr
ol
TEL
KOMNIKA
,
vo
l.
16
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no
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5,
pp.
2451
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2457
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2018,
doi
:
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12
928/T
EL
KO
MN
IKA
.
v16i5.
1026
0.
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J.
P.
Mel
la
do
,
“
Us
ing
nume
ri
ca
l
simul
a
ti
ons
to
study
the
atmospheric
boundar
y
la
y
er
,”
Direc
t
and
Lar
ge
Eddy
Simulat
ion
XII
,
DL
ES
2019,
ERCO
FTAC
Serie
s
,
vol.
27,
Springe
r
Cham,
2020
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[8]
J.
F.
Manwel
l,
J.
G.
McGow
an
,
and
A.
L.
Roger
s,
Wind
ene
rgy
ex
pla
ine
d:
the
or
y,
d
esi
gn,
and
a
ppli
cation
,
John
Wi
l
ey
&
Sons
,
2
010
.
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K.
W.
Corsc
add
en,
A.
Thom
son
,
B.
Yoonesi
,
an
d
J.
McNut
t,
“
T
he
i
mpact
of
va
r
ia
bl
e
wind
shea
r
coe
f
ficien
ts
on
risk
red
u
ct
ion
of
wind
energy
pr
oje
c
t
s,”
Int
ernational
scho
larly
research
no
ti
c
es
,
vol.
2016,
ID.
5
790464,
pp
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1
2,
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doi
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4.
[10]
H.
Ibra
hi
m,
M.
Ghandour,
M.
Dimi
trova,
A.
Il
li
nc
a,
and
J.
Per
ron,
“
In
te
gr
at
ion
of
wind
ene
rgy
int
o
elec
tr
ic
i
ty
sys
te
ms:
techni
ca
l
chall
enge
s
and
a
ct
ua
l
sol
uti
ons,”
Ene
rgy
Proce
d
ia
,
vol
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6,
pp.
815
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24,
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doi:
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gypr
o.
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092.
[11]
O.
N.
L
aba
n
,
C.
M.
Magha
ng
a,
and
K.
Joash,
“
Dete
rm
ina
t
ion
of
th
e
surfa
ce
rou
ghness
par
a
me
t
e
r
and
wind
shea
r
expone
nt
of
Kisi
i
Regi
on
from
t
h
e
on
-
site
me
asur
em
en
t
of
wind
p
rofil
es,
”
Journal
Ene
rgy
,
vol
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20
19,
ID.
8264061
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1
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12
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2019
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doi:
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.
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[12]
H.
P.
Dhari
wal
,
and
B.
K.
Roy
,
“E
ffe
ct
of
li
ft
on
wind
turbi
ne
bla
de
d
esign
par
am
e
te
r
,”
Int
ernati
onal
Journal
of
Engi
ne
ering
R
ese
arch
&
Techno
l
ogy
,
vo
l.
3,
no.
1,
pp
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290
-
292
,
2
014.
[13]
A.
Haghshena
s
,
and
J.
P.
Mellad
o,
“
Charact
eri
z
ation
of
wind
-
shea
r
eff
ec
ts
on
ent
r
a
inm
ent
in
a
conv
ec
t
ive
boundar
y
la
yer
,
”
Journal
of
F
lui
d
M
ec
han
i
cs
,
vol
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858
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145
-
183,
2019
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[14]
M.
Gul,
N.
Ta
i
,
W.
Huang,
M.
H.
Nade
em,
an
d
M.
Yu,
“
As
sess
me
nt
of
wind
power
pote
n
tia
l
and
ec
ono
mi
c
ana
lysis
at
Hyde
rab
ad
in
Pakist
a
n:
Pow
eri
ng
to
l
oca
l
co
mm
uni
ti
e
s
using
wind
po
wer,
”
Sustainab
i
li
ty
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vol
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3390
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[15]
A.
L.
Di
ac
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L.
Rusu,
and
G.
Andrei
,
“
A
lo
cal
per
spec
t
ive
on
wind
ene
rgy
pot
ent
i
al
in
six
r
eferenc
e
si
te
s
on
th
e
weste
rn
coa
st
of
the
bl
ac
k
sea
co
nsideri
ng
f
ive
di
ffe
ren
t
typ
es
of
wind
turbi
n
es
,”
I
nve
nt
ions
,
vo
l.
6,
no
.
3,
pp
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1
-
14
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33
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[16]
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Paudel,
M.
S
ant
ar
el
l
i,
V.
Ma
rti
n,
B.
L
acarri
e
re,
and
O.
L.
C
orre
,
“
Wi
nd
res
ourc
e
assess
me
n
t
in
eur
op
e
using
em
erg
y
,”
Journ
al
of
En
vi
ronm
ent
al
A
cc
ount
in
g
and
Manag
e
ment
,
vil.
2,
n
o.
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[17]
A.
Ez
z
ai
di
,
M.
El
yaqouti,
L.
B
ouhouch,
and
A.
Ihlal,
“
Evaluation
of
the
ene
rg
y
per
forma
n
ce
of
the
a
mougdoul
wind
fa
r
m,
Mor
occ
o,
”
Inte
rnat
i
onal
Journal
of
El
e
ct
rica
l
and
C
omputer
Eng
ineering
I
JE
CE
,
v
o
l.
7,
no.
2,
pp
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6
92
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705,
2017
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doi
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1
0.
11591/i
j
ece.
v7
i2.
pp692
-
705.
[18]
W.
La
ng
ede
r
,
W
in
d
resour
ce
and
site
ass
essm
ent
,
Wi
nd
&
Site
,
S
uzl
on
Ene
rgy
,
Å
rhus,
Denm
ark
,
2010.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
t J
P
ow Elec
& Dri S
ys
t
IS
S
N: 20
88
-
8
694
Compari
son
of
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