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Preliminary analysis of wind parameters at the planned construction sites of wind generators

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
To choose optimal place for wind turbine, you need to know two basic parameters: 1. Vaverage - the average wind throughout the year (or during the season when more electricity is needed). The total amount of kilowatt hours of electricity you will get, depends on this parameter. 2. Vmax - the maximum possible dangerous gust of wind during a storm. The required strength depends on this parameter and hence the cost of construction. In order to evaluate the place itself, it is possible to combine these two parameters to only one physical parameter: VBojat - the average wind speed which is devaluated by hurricanes. In this article, it is called: “Bojatspeed”: [wzór]. Measurements for Vaverage must be done for at least a year, but for Vmax for at least ten years. They are obligatory before any decision about construction of wind turbine. And not generally in the country, but exactly in the particular place. A system of two devices for such measurements is described in this article: anemometer and brazmometer. Both are made in Latvia. They are purely mechanical and include no electronics - that is why they do not require battery or any service during many years.
Rocznik
Strony
90--105
Opis fizyczny
Bibliogr. 25 poz., fot., rys., wzory
Twórcy
  • Aeronautical Institute of Riga Technical University 6B Kipsalas Street, Riga, LV-1048, Latvia
Bibliografia
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  • [2] Deutsche Welle (DW) [Internet]. Prokon insolvency proceedings; 2014 Jan 5. Available from: https://www.dw.com/en/german-court-kicks-off-insolvency-proceedings-for-wind-park-group-prokon/a-17605564
  • [3] Stapleton G., Milne G. Australian Gouvernment [Internet]. Wind Systems. Australian Guide to Environmentally Sustainable Homes; 2013. Available from: https://www.yourhome.gov.au/energy/renewable-energy-wind-systems
  • [4] Freere P., Robotham T. Wind Power: Plan Your Own Wind Power System. Melbourne: Alternative Technology Association; 2004.
  • [5] Gipe P. Front cover image for Wind power: renewable energy for home, farm, and business. White River Junction: Chelsea Green Publishing Company; 2004.
  • [6] Webb A. The Viability of Domestic Wind Turbines for Urban Melbourne [Internet]. Melbourne: Alternative Technology Association; 2007 Jun. Available from: https://renew.org.au/wp-content/uploads/2018/11/ata_report_domestic_wind.pdf
  • [7] Woofenden I. Wind Generator Tower Basics. Home Power. 2005;105(Feb and Mar):1-5.
  • [8] Justus C., Mikhail A. Height Variation of Wind Speed and Wind Distributions Statistics. Geophys Res Lett [Internet]. 1976 May;3(5):261-4. Available from: https://doi.org/10.1029/GL003i005p00261
  • [9] Emeis S. Vertical Variation of Frequency Distributions of Wind Speed in and Above the Surface Layer Observed by Sodar. Meteorol Z [Internet]. 2001;10(2):141-9. Available from: https://doi.org/10.1127/0941-2948/2001/0010-0141
  • [10] Windustry [Internet]. How much do wind turbines cost?; [date unknown]. Available from: https://www.windustry.org/how_much_do_wind_turbines_cost
  • [11] Motocarrello [Internet]. Top 15 rating of the best wind turbines for private homes 2023 [TOP-15 reyting luchshikh vetrogeneratorov dlya chastnogo doma 2023]; 2023 May 3 [cited 2024 Feb 23]. Available from: https://motocarrello.ru/jelektrotehnologii/1821-vetrogenerator-kupit.html
  • [12] Davenport A. Relationship of Wind Structure to Wind Loading. In: Symposium Wind Effect on Buildings and Structures; 1963 Jun 26-28. H.M.S.O.; 1965. p. 54-111.
  • [13] BloombergNEF [Internet]. 2H 2017 Wind Turbine Price Index; 2018 May 9. Available from: https://about.bnef.com/blog/2h-2017-wind-turbine-price-index/.
  • [14] Hill J. CleanTechnica [Internet]. Wind Energy Prices Continue To Fall Due To Technology Advancements & Cost Reductions; 2019. Available from: https://cleantechnica.com/2018/08/27/wind-energy-prices-continue-to-fall-due-to-technology-advancements-cost-reductions/.
  • [15] Global Wind Atlas [Internet]. Global Wind Atlas; [cited 2020 Oct 12]. Available from: https://globalwindatlas.info/.
  • [16] Contributors to Wikimedia projects. Wikipedia [Internet]. Latvijas klimats - Vikipēdija; 2007 Mar 27 [cited 2020 Oct 12]. Available from: https://lv.wikipedia.org/wiki/Latvijas_klimats
  • [17] Contributors to Wikimedia projects. Wikipedia [Internet]. Meteorological history of Hurricane Patricia; 2015 Oct 23 [cited 2020 Oct 12]. Available from: https://en.wikipedia.org/wiki/Meteorological_history_of_Hurricane_Patricia
  • [18] Weissbach D., Ruprecht G., Huke A., Gotlieb K., Hussein A. Energy Intensities, EROIs and Energy Payback Times of Electricity Generating Power Plants. Energy [Internet]. 2023;52(Apr 2023):210-21. Available from: https://doi.org/10.1016/j.energy.2013.01.029
  • [19] NOAA National Severe Storms Laboratory [Internet]. Total Annual Severe Weather Threat; [cited 2020 Oct 12]. Available from: https://www.nssl.noaa.gov/projects/hazard/totalthreat.html
  • [20] Lilienthal P. HOMER - Hybrid Optimization of Multiple Energy Resources [Internet]. Weibull k Value; [cited 2024 Feb 23]. Available from: https://homerenergy.com/products/pro/docs/3.15/weibull_k_value.html
  • [21] Wolfram|Alpha: Computational Intelligence [Internet]. Wolfram|Alpha: Making the world’s knowledge computable; [cited 2020 Oct 12]. Available from: http://www.wolframalpha.com
  • [22] Garikaib. Revision Online [Internet]. Sand Dunes and Ripples - Free ZIMSEC & Cambridge Revision Notes [image]. Available from: https://revision.co.zw/sand-dunes-and-ripples/.
  • [23] Hassan G. Wind Energy The Facts [Internet]. The Annual Variability of Wind Speed; [date unknown]. Available from: https://www.wind-energy-the-facts.org/the-annual-variability-of-wind-speed.html
  • [24] Awerbuch S., Morthorst PE. The Economics of Wind Energy [Internet]. Krohn S, editor. Brussels: European Wind Energy Association; 2009 Mar. Available from: https://www.ewea.org/fileadmin/files/library/publications/reports/Economics_of_Wind_Energy.pdf
  • [25] Baseer M., Rehman S., Mayer J., Mahbub Alam M. GIS-Based Site Suitability Analysis for Wind Farm Development in Saudi Arabia. Energy [Internet]. 2017;141(Oct 2017):1166-76. Available from: https://doi.org/10.1016/j.energy.2017.10.016
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1fb65ffa-f424-4df2-8bac-bbaf1cea3e4a
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