Application of power laws for wind energy assessment [electronic resource]
From the ANL data, the frequency distribution of the power-law exponent based on actual wind profiles has been assessed hourly, seasonally, and annually. These data show that p values exceed 0.4 (indicative of decoupled conditions when wind maxima occur) on 50% of summer nights and 15% of winter nig...
Saved in:
| Online Access: |
Online Access (via OSTI) |
|---|---|
| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Department of Energy. ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
1979.
|
| Subjects: |
MARC
| LEADER | 00000nam a22000003u 4500 | ||
|---|---|---|---|
| 001 | b9053678 | ||
| 003 | CoU | ||
| 005 | 20160927223735.1 | ||
| 006 | m o d f | ||
| 007 | cr ||||||||||| | ||
| 008 | 170215e19790101||| o| f1|||||eng|d | ||
| 035 | |a (TOE)ost6030747 | ||
| 035 | |a (TOE)6030747 | ||
| 040 | |a TOE |c TOE | ||
| 049 | |a GDWR | ||
| 072 | 7 | |a 17 |2 edbsc | |
| 086 | 0 | |a E 1.99:conf-790665-2 | |
| 086 | 0 | |a E 1.99:conf-790665-2 | |
| 088 | |a conf-790665-2 | ||
| 245 | 0 | 0 | |a Application of power laws for wind energy assessment |h [electronic resource] |
| 260 | |a Washington, D.C. : |b United States. Department of Energy. ; |a Oak Ridge, Tenn. : |b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, |c 1979. | ||
| 300 | |a Pages: 8 : |b digital, PDF file. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 500 | |a Published through SciTech Connect. | ||
| 500 | |a 01/01/1979. | ||
| 500 | |a "conf-790665-2" | ||
| 500 | |a Conference and workshop on wind characteristics and wind energy siting, Portland, OR, USA, 19 Jun 1979. | ||
| 500 | |a Sisterson, D.L.; Hicks, B.B. | ||
| 520 | 3 | |a From the ANL data, the frequency distribution of the power-law exponent based on actual wind profiles has been assessed hourly, seasonally, and annually. These data show that p values exceed 0.4 (indicative of decoupled conditions when wind maxima occur) on 50% of summer nights and 15% of winter nights. Wind energy estimates from actual wind data at 50 m are shown to be underestimated by 40% when derived from lower level winds by use of a 1/7 power law. These results are expected to be similar for the relatively flat farmlands of the Midwest and Great Plains. However, the stresses caused by unusually large wind shears on the blades of large wind machines in these areas will be greater than anticipated, as the blades rotate in and out of layers of faster moving air during the stable, nighttime hours. A nomogram of wind shear versus size of large wind machine blades is presented, based on power-law wind profiles. | |
| 536 | |b W-31-109-ENG-38. | ||
| 650 | 7 | |a Wind Power. |2 local. | |
| 650 | 7 | |a Availability. |2 local. | |
| 650 | 7 | |a Forecasting. |2 local. | |
| 650 | 7 | |a Monitoring. |2 local. | |
| 650 | 7 | |a Probability. |2 local. | |
| 650 | 7 | |a Energy Sources. |2 local. | |
| 650 | 7 | |a Power. |2 local. | |
| 650 | 7 | |a Renewable Energy Sources. |2 local. | |
| 650 | 7 | |a Wind Energy. |2 edbsc. | |
| 710 | 2 | |a Argonne National Laboratory. |4 res. | |
| 710 | 1 | |a United States. |b Department of Energy. |4 spn. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Scientific and Technical Information. |4 dst. | |
| 856 | 4 | 0 | |u http://www.osti.gov/scitech/biblio/6030747 |z Online Access (via OSTI) |
| 907 | |a .b90536782 |b 03-09-23 |c 02-15-17 | ||
| 998 | |a web |b 02-15-17 |c f |d m |e p |f eng |g |h 0 |i 1 | ||
| 956 | |a Information bridge | ||
| 999 | f | f | |i 476ac63a-fd07-563b-a90d-d56f8ff1fbb0 |s 6893de52-8c1d-5214-a525-039b8c4524af |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e E 1.99:conf-790665-2 |h Superintendent of Documents classification |i web |n 1 |