Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data

Cilt: 2 Sayı: 3 1 Eylül 2012
  • Apratim Roy
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Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data

Abstract

This paper presents a direction-dependent time-series analysis of forecasted wind profiles for the South Asian country of Bangladesh on the basis of a survey conducted by the United Nations. Representative weatherstations are selected from regions of the country with a higher wind potential and directional wind-roses with Weibull density functions are established at a commercial turbine height. As measured data are available only at lower altitudes (10m), time-series distribution of directional profiles is projected for 40m to assess the suitability of specific time intervals for wind power extraction. To improve the accuracy of the estimation process, the effects of wind shear coefficient (power profile rule) and log profile parameters are considered on the vertical distribution of horizontal wind streams (reaching up to 12.5m/s for 40-120m axle heights and 15-80m rotor diameters). This study is intended to assist the evaluation of the prospects of grid-connected or stand-alone wind-turbines, supporting the renewable power sector of the country.

Keywords

Kaynakça

  1. Sustainable Energy Project, United Nations Development Programme http://www.undp.org. Online]. Available: Renewable Energy and Environmental Information Network Bangladesh (REEIN) [Online]. Available: http://www.lged-rein.org. S. Ahmmed, M. Q. Islam, “Wind Power for Rural Areas of Bangladesh,” in Proc. 3rd Int. Conf. on Electrical & Computer Eng., pp. 192-197, Dec. 2004.
  2. T. Blackler, M. Iqbal, “Pre-feasibility Study of Wind Power Renewable Energy, Vol. 31, No. 4, April 2006, pp. 489
  3. Holyrood, Newfoundland.” M. A. Kabir, H. S. Dey, H. M. Faraby, “Microfinance: The Sustainable Financing System for Electrification and Socio-economic Development of Remote localities by Solar Home Systems (SHS) in Bangladesh”, in Proc. 4th Annual IEEE Systems Conference, pp. 82-84, April American Wind Energy Association [Online]. Available: http://www.awea.org/learnabout/publications/factsheets. E. Peterson, “On the Use of Power Laws for Estimates of Wind Power Potential,” Journal of Applied Meteorology, Vol. 17, Oct. 1977, pp. 390-394.
  4. E. Peterson, “A study of wind and temperature data from the 123 m tower at Riso, Denmark,” Journal of Royal Meteorological Society, Vol. 101, No. 427, Dec. 2006, pp. 107-117.
  5. D. Burke and M. O, Malley, “Factors Influencing Wind Energy Curtailment”, IEEE Transactions on Sustainable Energy, Vol. 2, No. 2, pp. 185-193, April 2011.
  6. M. N. Hoque, S. Nandi, H. R. Ghosh, “Wind resource assessment for southern part of Bangladesh”, Asian Jnl. on Energy and Environment, Vol. 11, No. 1, pp. 1-9, 2010.
  7. B. Peros, I. Boko, V. Divic, “Wind Shear Characteristics of Local Winds,” in Proc. 7th Asia-Pacific Conf. on Wind Engineering, pp. 1-8, Nov. 2009. UNEP Solar and Wind Energy Resource
  8. Assessment (SWERA) Project Database [Online]. Available: http://swera.unep.net. Official Website of Bangladesh Meteorological Department http://www.bmd.gov.bd. Online]. Available: W. Weibull, “A statistical distribution of wide applicability”, Journal of Applied Mechanics, Vol. 18, pp. 293-297, 1957.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Apratim Roy Bu kişi benim

Yayımlanma Tarihi

1 Eylül 2012

Gönderilme Tarihi

3 Şubat 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2012 Cilt: 2 Sayı: 3

Kaynak Göster

APA
Roy, A. (2012). Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data. International Journal Of Renewable Energy Research, 2(3), 388-396. https://izlik.org/JA88RU67EF
AMA
1.Roy A. Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data. International Journal Of Renewable Energy Research. 2012;2(3):388-396. https://izlik.org/JA88RU67EF
Chicago
Roy, Apratim. 2012. “Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data”. International Journal Of Renewable Energy Research 2 (3): 388-96. https://izlik.org/JA88RU67EF.
EndNote
Roy A (01 Eylül 2012) Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data. International Journal Of Renewable Energy Research 2 3 388–396.
IEEE
[1]A. Roy, “Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data”, International Journal Of Renewable Energy Research, c. 2, sy 3, ss. 388–396, Eyl. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA88RU67EF
ISNAD
Roy, Apratim. “Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data”. International Journal Of Renewable Energy Research 2/3 (01 Eylül 2012): 388-396. https://izlik.org/JA88RU67EF.
JAMA
1.Roy A. Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data. International Journal Of Renewable Energy Research. 2012;2:388–396.
MLA
Roy, Apratim. “Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data”. International Journal Of Renewable Energy Research, c. 2, sy 3, Eylül 2012, ss. 388-96, https://izlik.org/JA88RU67EF.
Vancouver
1.Apratim Roy. Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data. International Journal Of Renewable Energy Research [Internet]. 01 Eylül 2012;2(3):388-96. Erişim adresi: https://izlik.org/JA88RU67EF