1 / 50

Wind Power

Wind Power. CUTTY SARK. Weibull Distribution. Weibull Distribution Plotter Programme. LECTURE NOTES BY PROFESSOR J L CAMPBELL University of Guelph. Wind - simple physics. Wind velocity = v: blade radius = R Blades sweep out area A = π R 2 Air density = ρ

ilya
Download Presentation

Wind Power

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Wind Power CUTTY SARK

  2. Weibull Distribution Weibull Distribution Plotter Programme

  3. LECTURE NOTES BY PROFESSOR J L CAMPBELL University of Guelph Wind - simple physics • Wind velocity = v: blade radius = R • Blades sweep out area A = π R2 • Air density = ρ • Mass of air arriving per second = M = A v ρ • Its KE is ½ M v2 = ½ A v3 ρ • Want large swept area ie long blades • The v3 factor is very favourable in high-wind regions • Cold air is denser - better - implies higher towers

  4. Weibull Distribution………. • Asymmetric – high winds are less probable than low • But high wind speed means much more power (v3) • You CANNOT just substitute the average wind speed into the equation for power output of turbine • You must add up the power increments at each wind speed on the distribution • This typically doubles the calculated power output!

  5. BUT if you somehow extracted all the kinetic energy, the air would stop dead after the rotors - no more air could arrive - not realistic! • You can only extract some fraction less than 100% of the energy

  6. Profile of air flow • Mass of cylinder of air arriving from right is M1 =v1π r12ρ • Cylinder exiting at left has decreased velocity, so M2 = v2π r22ρ • But obviously M1 and M2 are the same • Therefore r2 is larger than r1: the cylinder of air is wider downstream of the turbine • This helps determine spacing of wind farms

  7. Efficiency calculation: Bettz’ law • Wind approaches rotor, perpendicularly, at velocity v1 • Some energy is extracted, so velocity falls to v2 • Assume mean speed through actual rotor is the average ie vm = 0.5 (v1 + v2) • Mass passing through per sec is m = vm A ρ • Power extracted = 0.5 m v12 - 0.5 m v22 = 0.5 vm A ρ (v12 - v22 ) • P = 0.25 A ρ (v1 + v2) (v12 - v22 ) • If there were no rotor, undisturbed power would be P0 = 0.5 A ρ v13

  8. 1916 • Write v2/v1 = x • Then ratio R = P/P0 = 0.5 (1 - x2 ) (1 + x) • R is maximum when dR/dx = 0 • Do this. Find that x = 1/3, corresponding to R = 0.59 • So we get maximum efficiency of 59% at v2/v1 = 1/3 • and Power P = 8 A ρ v13 /27 • Issue of tower spacing in a wind farm

  9. Wind speeds and location criteria

  10. Wind speeds and location criteria…….. • Average speed at Danish installations (ie most advanced country) is 6.3 m/s • Average SW winds on shores of Great Lakes are to 8 m/s • In USA there are 232,000 square kms of Class 4 land within 10 km of existing transmission facilities, ie 8 times more land than for Classes 5+6 combined. Effort must focus on Class 4 areas

  11. Wind speeds……:Mapping the resource These figures are very similar to Germany, where installation is proceeding rapidly

  12. Wind - environmental impact • No air pollution • Electromagnetic interference eliminated via non-metallic blades • Bird-kills decreased by move from lattice to tubular towers - average is 2.2 birds per turbine per year - less than office towers • Main accidents are falls • Noise much decreased - almost none at 200 m • Compatible with farming, recreation, forestry • Only 1-2% of land is actually “occupied” - can cultivate to within a few metres of a tower

  13. Wind - installations 1

  14. Cost issues Canadian Wind Energy Association

  15. Wind installations…….2

  16. Cost issues………. • AWEA/DOE cite USA wind generation cost as 3.9 – 5 cents(US) per kWh in 2002 • That is 5.3 – 6.8 cents Canadian • Compare Ontario legislated price of 4.3 c, which is much less than true cost, and which is scheduled to rise

  17. Costs are dropping • Blades are lighter - towers can be higher: 50-90 m tubular towers • Lower O/M costs; higher reliability; 25-30 y lifetime • Bigger turbines: half of new ones now exceed 1 MWe • Early 1980’s cost C$0.55 per kWh • 2000 cost C$0.06 per kWh • General observation in technology: Costs decrease 20% when # of units produced doubles • World capacity likely to double in 5 y

  18. Design issues • Tower height is crucial: wind speed at 60 m height can be 20-60% greater than at ground level • Heavy cold air gives up to 15% more power • Site at end of large flat areas eg Great Lakes • Seek large blade area • Materials must withstand shear stresses • Should rotate to align with changing wind direction

  19. Capacity Factor • Another way of stating the annual energy output from a wind turbine is to look at the capacity factor for the turbine in its particular location. By capacity factor we mean its actual annual energy output divided by the theoretical maximum output, if the machine were running at its rated (maximum) power during all of the 8766 hours of the year.

  20. 126 m diameter5 MW

  21. Mapping the wind resource…. • Wind speed is only the first part of picture. It is power that matters, and what about direction? • “Wind rose” concept – see website of Danish Wind Power association • Divide a circle into 12 quadrants representing 12 measures of wind direction in 30 degree segments of the full 360 • Give each a radius corresponding to the wind speed

  22. Mapping the wind resource…. • Change to using velocity-cubed and make the radius of each quadrant proportional to the velocity-cubed from that direction – plot in red • Adjust so that the sum of these v3 values is 100% • Now you are showing the power distribution around 360 degrees, both in direction and magnitude • Data for a wind-rose must be averaged over several years – eg from European Wind Atlas

  23. Supply versus demand issue • Annual capacity factor 25-35% • High winter winds plus cold dense air match maximum demand, especially for heating buildings • 68% of Ontario production would be in October - March • High winter availability counteracts high costs of other sources • BUT on still, humid summer day, wind is zero and air-conditioning demand is maximum

  24. US Department of Energy

  25. 23. 04. 2009. | 18:29 Obamin veliki zaokret prema izvorima energije U SAD-u će ‘svijetliti’ vjetar, plima i oseka Autor Sergej Županić Američki predsjednik u vjetroelektrani u Iowi najavio smanjenje emisije CO2 83 posto do 2050, 20% do 2020. Barack Obama pozvao je na Dan planeta Zemlje svoju naciju na početak “nove ere u uporabi energije”, što bi unaprijedilo očuvanje okoliša i potaknulo gospodarski razvoj te otvaranje novih radnih mjesta.

  26. Published online 11 February 2009 | Nature457, 775 (2009) News in Brief Wind producers around the world installed more than 27 GW of capacity in 2008, bringing global capacity to nearly 121 gigawatts.

  27. Integrating power into grid

  28. Nominalna snaga: 5,6 MW (7 vjetrogeneratora od 850 kilowata) Realizirana snaga: 1.06 MW -> 19% 1MW, 7M Eura -> 7Eura/W snage

More Related