69

: The article presents the results of a study on assessing the potential of wind energy
resources in the Kashkadarya region and identifying areas with high wind energy potential. It
presents an analysis of scientific studies carried out around the world to assess the potential of wind
energy resources and the efficient use of wind energy. Wind speeds at various points in the region
were obtained from the Nasa Power Data Access Viewer (GIS). For a reliable assessment of the
potential of wind energy resources at different heights, a two-parameter Weibull probability
distribution function was used. The shape parameters k and the scale c of the Weibull distribution
function are determined using an empirical method. Processing of the obtained data and
mathematical modeling was done in the Matlab system. It was determined that the average wind
speed in this region at a height of 10 m is (2.3-3.9) m/s, the average specific power is (20-40) W/m2 ,
the average specific energy is (200-500) kWh/m2 , and at a height of 100 m the average speed wind
was (4-5.8) m/s, the average specific power was (113 – 253) W/m2 , the average specific energy was
(998.36-2208.03) kWh/m2 . It was found that Mubarek and Mirishkor districts have a high potential
for using wind energy. According to the results of the study, the annual gross (theoretical) wind
energy potential of the region at a height of 100 m is 2296.15 billion kWh, the technical potential is
45.92 billion kWh. When providing consumers located far from the centralized power supply with
uninterrupted and reliable electricity, wind energy can be used.

  • Ссылка в интернете
  • DOI
  • Дата создание в систему UzSCI 15-09-2024
  • Количество прочтений 69
  • Дата публикации 03-07-2023
  • Язык статьиIngliz
  • Страницы83-93
English

: The article presents the results of a study on assessing the potential of wind energy
resources in the Kashkadarya region and identifying areas with high wind energy potential. It
presents an analysis of scientific studies carried out around the world to assess the potential of wind
energy resources and the efficient use of wind energy. Wind speeds at various points in the region
were obtained from the Nasa Power Data Access Viewer (GIS). For a reliable assessment of the
potential of wind energy resources at different heights, a two-parameter Weibull probability
distribution function was used. The shape parameters k and the scale c of the Weibull distribution
function are determined using an empirical method. Processing of the obtained data and
mathematical modeling was done in the Matlab system. It was determined that the average wind
speed in this region at a height of 10 m is (2.3-3.9) m/s, the average specific power is (20-40) W/m2 ,
the average specific energy is (200-500) kWh/m2 , and at a height of 100 m the average speed wind
was (4-5.8) m/s, the average specific power was (113 – 253) W/m2 , the average specific energy was
(998.36-2208.03) kWh/m2 . It was found that Mubarek and Mirishkor districts have a high potential
for using wind energy. According to the results of the study, the annual gross (theoretical) wind
energy potential of the region at a height of 100 m is 2296.15 billion kWh, the technical potential is
45.92 billion kWh. When providing consumers located far from the centralized power supply with
uninterrupted and reliable electricity, wind energy can be used.

№ Имя автора Должность Наименование организации
1 Uzoqov G.N. t.f.d., prof. QarMII
2 Davlonov X.A. t.f.f.d., dots. QarMII
3 Mamedov R.A. doktorant BuxMTI
4 Safarov A.B. t.f.f.d., dotsent QarMII
№ Название ссылки
1 Yunusov TY. (2012) Present and future of energy production. Tashkent. ―Science and technology‖. Monograph. 140 p.
2 https://www.statista.com/statistics/268363/installed-wind-power-capacityworldwide/#:~:text=Installed%20wind%20power%20capacity%20worldwide%202001%2D2021 &text=The%20cumulative%20capacity%20of%20installed,about%20780%20gigawatts%20that% 20year
3 https://gwec.net/global-wind-report-2021/
4 https://power.larc.nasa.gov/data-access-viewer/
5 https://globalwindatlas.info/area/Uzbekistan/Kashkadarya
6 Aung Tan Ch.N. (2014) Issledovanie effektivnosti kompleksnogo ispolzovaniya vozobnovlyaemыx istochnikov energii v regionalnoy energetike Myanmы, kandidatskaya dissertatsiya. Moskva. c.132
7 Rixlov AB. (2012) Klimatologicheskaya otsenka vetroenergeticheskogo potensiala na razlichnыx vыsotax: na primere Yugo-Vostoka Evropeyskoy territorii Rossii, kandidatskaya dissertatsiya. Saratov. c.255
8 Mentis D, Hermann S, Howells M, Welsch M, Hussain ShS. (2015) Assessing the technical wind energy potential in Africa a GIS-based approach. Renewable Energy. Vol. 83. pp. 110-125
9 Kilich B. (2019) Determination of wind dissipation maps and wind energy potential in Burdur province of Turkey using geographic information system (GIS). Sustainable Energy
10 Allouhi A, Zamzoum O, Islam MR, Kousksou T, Jamil A, Derouich A. (2017) Evaluation of wind energy potential in Morocco‘s coastal regions, Renewable and Sustainable Energy Reviews. Vol. 72. pp.311-324
11 Ahmed SA, Mahammed HO. (2012) A Statistical Analysis of Wind Power Density Based on the Weibull and Ralyeigh models of ―Penjwen Region‖ Sulaimani/Iraq. JJMIE. Vol. 6. Num. 2. pp. 135-140
12 C. Ozay, M.S Celiktas. Statistical analysis of wind speed using two-parameter Weibull distribution in Alacati region, Energy Conversion and Management. 121(2016). pp. 49-54
13 Soulouknga M, Doka S, Revanna N, Djongyang N, Kofane T. (2018) Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution. Renewable energy. Vol.121 pp.1-8
14 Hatata AY, Mousa MG, Elmahdy RM. (2015) Analysis of wind data and assessing wind energy potentiality for selected locations in Egypt. International Journal of Scientific Engineering Research. Vol. 6. Issue 3. pp. 604-609
15 Sadullaev NN, Safarov AB, Nematov ShN, Mamedov RA. (2019) Statistical Analysis of Wind Energy Potential in Uzbekistan‘s Bukhara Region Using Weibull Distribution. Applied Solar Energy. Vol. 55, Issue 2, pp. 126–132
16 Azad AK, Rasul MG, Islam R, Shishir IR. (2015) Analysis of Wind Energy Prospect for Power Generation by Three Weibull Distribution Methods. Energy Procedia.Vol. 75, pp. 722-727
17 . Sadullaev NN, Safarov AB, Mamedov RA. Qodirov D. (2020) Assessment of wind and hydropower potential of Bukhara region. IOP Conference Series: Earth and Environmental Science 614 (1), 012036
18 Sadullaev NN, Safarov AB, Nematov ShN, Mamedov RA. (2019) Research on facilities of power supply of small power capability consumers of Bukhara region by using wind and solar energy. International Journal of Innovative Technology and Exploring Engineering, 8(9S2): pp. 229-235
19 Sadullaev NN, Safarov AB, Nematov ShN, Mamedov RA. Abdujabarov AB. (2020) Opportunities and Prospects for the Using Renewable Energy Sources in Bukhara Region. Applied Solar Energy. Vol. 56, Issue 4, pp. 291–301
20 Safarov AB, Mamedov RA. (2021) Study Of Effective Omni-directional Vertical Axis Wind Turbine For Low Speed Regions. IIUM Engineering Journal 22 (2), 149-160
21 Mousaad A, Whipple J. (2021) Wind Forces on Ground-Mounted Photovoltaic Solar Systems: A Comparative Study. Applied Solar Energy. Vol. 57, pp. 444–471
22 Serban A, Simona LP, Paraschiv S. (2020) Assessment of wind energy potential based on Weibull and Rayleigh distribution models. Energy Reports. Vol. 6, pp. 250-267
23 Cataldo J, Zeballos M. (2009) Roughness terrain consideration in a wind interpolation numerical model, 11th Americas Conference on Wind Engineering San Juan, Puerto Rico.
24 Elistratov V, Ramadan A. (2018) Energy potential assessment of solar and wind resources in Syria. Journal of Applied Engineering Science. Vol.16, pp. 208-216
25 Rasham M. (2016) Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq. International Journal of Computer Applications. Vol.137, pp. 11-16
26 Bezrukix PP, Gripkov SV. Vetroenergetika: Spravochno-metodicheskoe izdanie. Pod obщey redaksiey P.P Bezrukix.-M.: «Intexenergo-Izdat», «Teploenergetika», 2014. -304 s.
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