Investigation on available wind energy at Tungku beach

M. G. YAZDANI, M. A. SALAM

PDF(103 KB)
PDF(103 KB)
Front. Energy ›› 2012, Vol. 6 ›› Issue (3) : 275-279. DOI: 10.1007/s11708-012-0194-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Investigation on available wind energy at Tungku beach

Author information +
History +

Abstract

In this paper, wind velocities and directions (sea and land) are recorded in different days and times. The data collected were compared with the weather data from the Brunei Darussalam Meteorological Service (BDMS) and the findings of other researchers and were found to be in good agreement. The potential of wind energy is predicted from the available data collected. The average generated power (forenoon and afternoon) is found to be 25 (mean) and 18 W (median), 101 (mean) and 73 W (median), 912 (mean) and 660 W (median), 10137 (mean) and 7331 W (median) for a rotor with a diameter of 2.5, 5, 15 and 50 m, respectively. The power density Pd for wind farming is found to be 0.26 (mean) and 0.19 (median), 0.31 (mean) and 0.22 (median) for the rotor whose diameter is 2.5 and 50 m, respectively, while the average Pd values are found to be 0.28 (mean) and 0.2 (median) for the rotor whose diameter is 5 and 15 m.

Keywords

wind velocity / temperature / tower height / power density / Raleigh distribution / electrical power

Cite this article

Download citation ▾
M. G. YAZDANI, M. A. SALAM. Investigation on available wind energy at Tungku beach. Front Energ, 2012, 6(3): 275‒279 https://doi.org/10.1007/s11708-012-0194-x

References

[1]
Boukhezzar B, Siguerdidjane H, Hand M M. Non-linear control of variable speed wind turbines for generator torque limiting and power optimization. ASME Transactions on Journal of Solar Energy Engineering, 2006, 128(4): 516–531
CrossRef Google scholar
[2]
Guerri O, Sakout A, Hamdouni A. Numerical simulation of the fluid flow around a roof mounted wind turbine. Journal of Wind Engineering, 2010, 34(5): 501–515
CrossRef Google scholar
[3]
Alaydi J Y. A survey on the assessment of wind energy potential in Gaza Strip. Journal of Wind Engineering, 2010, 34(5): 531–541
CrossRef Google scholar
[4]
Zhao P, Wang J F, Xia J R, Dai Y P, Sheng Y X, Yue J. Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China. An International Journal of Renewable Energy, 2012, 43: 234–241
CrossRef Google scholar
[5]
Sheridan B, Baker S D, Pearre N S, Firestone J, Kempton W. Calculating the offshore wind power resource: Robust assessment methods applied to the U.S. Atlantic Coast. An International Journal of Renewable Energy, 2012, 43: 224–233
CrossRef Google scholar
[6]
Ren D D. Effects of global warming on wind energy availability. Journal of Renewable and Sustainable Energy, 2010, 2(5): 1–5
CrossRef Google scholar
[7]
Al-Badi A H. Wind power potential in Oman. International Journal of Sustainable Energy, 2011, 30(2): 110–118
CrossRef Google scholar
[8]
Newsletter on Energy and Technology, The Energy Advocate, P.O. Box 7609, Pueblo West, CO 81007–0609, USA
[9]
Tuller S E. Onshore flow in an urban area: Microclimatic effects. International Journal of Climatology, 1995, 15(12): 1387–1398
CrossRef Google scholar

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(103 KB)

Accesses

Citations

Detail

Sections
Recommended

/