INTERNATIONAL JOURNAL OF ADVANCED RENEWABLE ENERGY RESEARCH
Authors name, et al., Vol. 2, Issue. xx, pp. y-z, 2013
Paper Title
Authors
Department of Electrical and Computer Engineering, X University, city, Country

Abstract—High altitude winds offer an enormous dense
layer of energy over New York State, which can be
considered as a cheap energy resource. This layer
Index Terms— AWEGS, HAWEGS, high altitude winds
I. INTRODUCTION
The oil resources are expected to last only for the
next 50 years, and the coal will last until the end of the
century, according to the International Energy Agency’s
(IEA) findings published in June 2006 by the Global Wind
Energy Council.
A. Airline Routes Cross Over
The upper atmosphere in Catskill Mountains is
significantly under influence of the main jet streams.
Catskill Mountains are near to a power grid. A
substation allows injecting the harnessed power to the
national electric grid. This substation is located near to
Catskill Mountains. The injected power by this
substation, can power all New York energy demand. The
substation specifications were given in Table I.
SUBSTATION CHARACTRISTICS
TABLE I.
Name
Ratio
Trans. No
KVA
Total KVA
CATSKILL
230:63
4
125
250
In national regulated electricity market, System Impact
Study (SIS) is required to connect a new dispatch-able
generation unit to the grid [3].
Figure 1.
(a) New York State. (b) The correspoding air line routes.
The airline route are one of critical factors will mainly
limit the selection of the site. Thus, the first step is
selected.
B. Site Geographical Description
The Catskill Mountains is an area in New York State,
where located at northwest of New York City and
southwest of Albany. This area with a surface area of
15.259 𝑘𝑚2 occupies a geographical zone between 42
and 44°N latitude and between 74°W and 77°W
longitude with maximum elevation of 1,274 meters.
Manuscript Received March 10, 2013; Revised March 28, 2013;
Accepted March 30, 2013.
Wind Power Density (kw/m2)
Annual
12
10
8
6
50%
4
68%
95%
2
0
0
2
4
6
8
10
12
14
Height (km)
Figure 2. Annual wind power density, for occurance probabilities
exceed 50%, 68%, and 95% during 1979 to 2006 as versus altitude
from the NCEP/DOE reanalyses [5].
𝐶𝐹 =
1 𝑉𝑟
∫ 𝑣 3 𝑓𝑤 (𝑣)𝑑𝑣
𝑉𝑟3 𝑉𝑐𝑖𝑛
𝑉
+ ∫𝑉 𝑐𝑜 𝑓𝑤 (𝑣)𝑑𝑣
𝑟
(1)
REFERENCES
[1] Archer CL, Jacobson MZ (2005) “Evaluation of global wind
power” J Geophys Res 110:D12110
10.1029/2004JD005462.
[2] B. W. Roberts, D. H. Shepard, K. Caldeira, M. E. Cannon,
D. G. Eccles,A. J. Grenier, and J. F. Freidin, “Harnessing
high-altitude wind power,” IEEE Trans. Energy Convers.,
vol. 22, no. 1, pp. 136–144, Mar. 2007.
INTERNATIONAL JOURNAL OF ADVANCED RENEWABLE ENERGY RESEARCH
Authors name, et al., Vol. 2, Issue. xx, pp. y-z, 2013
[3] Dong, Z. Y., Hill, D. J., “Power Systems Reactive Planning
Under Deregulated Electricity”. Proc. IEEE Conf APSCOM
Author received the B.Sc. degree in Electrical
Engineering with major in Power Electric from
the Semnan University, Iran in 2012.
He was a teacher assistant in electrical
engineering department at the Semnan
University. His research interests include high
altitude wind and marine current energy
generation systems, and electrical machine
design. He holds more than 10 patents in the
field of renewable energies.
2000, Hong Kong, 2000, p. 70-5.