Loading...
HomeMy WebLinkAboutKaktovik Wind Diesel Feasibility Study Project Wind Resource Report - Aug 2010 - REF Grant 7040025Kaktovik Wind Resource Report Report by: Douglas Vaught, P.E., V3 Energy LLC, Eagle River, Alaska Date of Report: August 26, 2010 Kaktovik met tower; D. Vaught photo Contents Summary Information...............................................................................................................................2 Test Site Location......................................................................................................................................2 Photographs..................................................................................................................................................4 Data recovery................................................................................................................................................4 Wind Speed...................................................................................................................................................5 Time Series................................................................................................................................................6 Daily Wind Profile .....................................................................................................................................7 Probability Distribution Function..............................................................................................................8 Wind Shear and Roughness......................................................................................................................8 Extreme Winds............................................................................................................................................10 Temperature and Density...........................................................................................................................11 Kaktovik Wind Resource Report Page 2 Monthly temperature boxplot............................................................................................................11 Wind Speed Scatterplot..........................................................................................................................12 Wind direction ........................................................................................................................................13 Turbulence..................................................................................................................................................14 Airport AWOS Data.....................................................................................................................................16 Summary Information With reference to two nearby Automated Weather Observing System (AWOS) sources (Barter Island Airport and Barter Island DEW), the wind resource in Kaktovik is outstanding (Class 5 to 6), but verification with the met tower was fraught with difficulty, namely a lost data card, significant data loss due to icing, and loss of both 30 meter level anemometers in early January due to ice and wind damage that were not replaced until early March. Given the anemometer problems, met tower data as collected is not useful for calculating mean wind speed, but inserting synthesized data to the data set yields a wind resource prediction in-line with the AWOS data sources. Other parameters, including turbulence, wind shear, and directionality of winds, indicate a desirable wind resource for wind power development. Met tower data synopsis Data dates June 26, 2009 to July 19, 2010 (13 months) Wind power class Presumed 5 (excellent)(from AWOS and synthesized data) Power density mean, 30 m 479 W/m2 (synthesized data) Wind speed mean, 30 m 6.49 m/s (synthesized data) Max 10-min wind speed average 29.3 m/s Maximum wind gust 35.2 m/s (Feb 2010) Weibull distribution k = 1.82, c = 7.18 m/s (measured data) Roughness class 0.68 (lawn grass) IEC 61400-1, 3rd ed. classification Class III-c (lowest defined and most common) Turbulence intensity, mean 0.076 (at 15 m/s) Calm wind frequency 24% (<3.5 m/s) Community profile Current Population: 286 (2009 DCCED Certified Population) Incorporation Type: 2nd Class City Borough Located In: North Slope Borough Taxes: Sales: None, Property: 18.5 mills (Borough), Special: None Coastal Management District:North Slope Borough Test Site Location Met tower was located 650 meters (2100 ft) south of the village boundary near the village sewage treatment plant. This site is not considered ideal for wind power development as a more likely site is immediately west of the powerplant on the west-central edge of the village. But, the flat and Kaktovik Wind Resource Report Page 3 featureless topography of Kaktovik ensures the met tower data is useable anywhere in the village environs. Site information Site number 0224 Latitude/longitude N 70° 07.065’ W 143° 36.342’, WGS 84 Site elevation 2 meters Datalogger type NRG Symphonie, 10 minute time step Tower type NRG 34-meter tall tower, 152 mm diameter, erected to 30 m Anchor type 1.5 m screw-in Google Earth image Tower Sensor Information Channel Sensor type Height Multiplier Offset Orientation 1 NRG #40 anemometer 30 m (A) 0.760 0.43 181°T 2 NRG #40 anemometer 30 m (B)0.754 0.43 271°T 3 NRG #40 anemometer 20 m 0.758 0.38 272°T 7 NRG #200P wind vane 29 m 0.351 357 357° T 9 NRG #110S Temp C 3 m 0.136 -86.383 N 10 RH-5 relative humidity 2 m 0.098 0 S 12 Voltmeter 2 m 0.021 0 n/a Kaktovik Wind Resource Report Page 4 Photographs Missing 30 m anemometers, Feb 2010; D. Vaught photo Alternate wind site behind powerplant; D. Vaught photo Data recovery Data recovery to date in Kaktovik was poor, with only 62 to 71 percent data return from the anemometers and wind vane with all of the missing data representing the winter months. This was due to several problems. First was loss of a data card and hence all data from Oct. 2 to Nov. 13. Then, beginning in early December, a number of apparent icing events rendered the anemometers and wind vane inoperable for much of the month. In early January, the two 30 meter level (channels 1 and 2) anemometers broke off the tower, apparently as a result of icing loads and high winds, and were not replaced until March 3. Throughout winter and spring, frequent and severe icing events resulted in significant data loss to the anemometers and wind vane. Note also much data loss from the relative humidity sensor occurred as well. The RH sensor lost function due to loss of battery power with loss of daylight (for recharge via the PV panels) and for unknown reasons, sensor function did not return with return of sunlight in spring. Data recovery summary table Possible Valid Recovery Label Units Height Records Records Rate (%) Speed 30 A m/s 30 m 55,878 35,600 63.7 Speed 30 B m/s 30 m 55,878 34,822 62.3 Speed 20 m/s 20 m 55,878 39,748 71.1 Direction 29 ° 29 m 55,878 36,612 65.5 Temperature °C 55,878 48,823 87.4 RH-5 Humidity %RH %RH 55,878 14,196 25.4 iPack Voltmeter volts 55,878 49,800 89.1 Kaktovik Wind Resource Report Page 5 Anemometer data recovery 30 m A 30 m B 20 m Year Month Possible Valid Recovery Valid Recovery Valid Recovery Records Records Rate (%) Records Rate (%) Records Rate (%) 2009 Jun 720 720 100.0 720 100.0 720 100.0 2009 Jul 4,464 4,464 100.0 4,464 100.0 4,464 100.0 2009 Aug 4,464 4,464 100.0 4,464 100.0 4,464 100.0 2009 Sep 4,320 4,197 97.2 4,320 100.0 4,320 100.0 2009 Oct 4,464 228 5.1 228 5.1 228 5.1 2009 Nov 4,320 1,748 40.5 1,750 40.5 1,751 40.5 2009 Dec 4,464 1,033 23.1 750 16.8 750 16.8 2010 Jan 4,464 42 0.9 0 0.0 408 9.1 2010 Feb 4,032 0 0.0 0 0.0 3,971 98.5 2010 Mar 4,464 3,966 88.8 3,794 85.0 3,972 89.0 2010 Apr 4,320 3,602 83.4 3,213 74.4 3,483 80.6 2010 May 4,464 4,336 97.1 4,319 96.8 4,357 97.6 2010 Jun 4,320 4,202 97.3 4,202 97.3 4,262 98.7 2010 Jul 2,598 2,598 100.0 2,598 100.0 2,598 100.0 All data 55,878 35,600 63.7 34,822 62.3 39,748 71.1 Wind Speed Wind data collected from the met tower, from the perspective of both mean wind speed and mean power density, indicates an excellent wind resource when sufficiently manipulated. The extremely cold arctic temperatures of Kaktovik contributed to the high wind power density. It is problematic, however, analyzing wind data with significant concentrated data loss, such as occurred in Kaktovik with the missing data card, broken 30 meter anemometers, and many icing events. To correct this problem, synthetic data was inserted in the data gaps to create a more realistic wind speed data profile. To be sure, long segments of synthetic data introduce uncertainty to the data set, but missing data does as well. To overcome this uncertainty, improved data collection with heated sensors would be necessary. But, considering the wind data collected and noting that two long-term airport AWOS data sources confirm a robust wind resource in Kaktovik, continuing a wind study with heated sensors is not absolutely necessary. Anemometer data summary Original data set Synthesized data set Variable Speed 30 A Speed 30 B Speed 20 Speed 30 A Speed 30 B Speed 20 Measurement height (m) 30 30 20 30 30 20 MMM wind speed (m/s)6.59 5.95 6.59 6.49 6.39 6.14 Max 10-min avg wind speed (m/s) 26.4 26.2 29.3 30.7 30.7 29.3 Max gust wind speed (m/s) 32.7 30.2 35.2 Kaktovik Wind Resource Report Page 6 Weibull k 1.82 1.82 1.68 1.63 1.63 1.62 Weibull c (m/s) 7.18 6.97 6.94 7.26 7.14 6.87 MMM power density (W/m²) 478 382 641 479 459 409 MMM energy content (kWh/m²/yr) 4,184 3,350 5,613 4,199 4,025 3,586 Energy pattern factor 2.16 2.15 2.49 2.55 2.57 2.58 Frequency of calms (%) 24.7 25.8 27.4 27.3 27.8 29.8 1-hr autocorrelation coefficient 0.952 0.950 0.958 0.957 0.956 0.957 Diurnal pattern strength 0.012 0.013 0.006 0.027 0.028 0.030 Hour of peak wind speed 23 21 1 4 5 4 Time Series Time series calculations indicate high wind speed averages throughout the year, even during the summer months. Because the 30 meter anemometers were inoperable (broken off the met tower) for an extended period of time, the data summary graph below is presented with 20 meter anemometer data which is more complete in original form. 20 m data summary Original data Synthesized data Mean Max 10-min Max gust Mean Std. Dev. Weibull k Weibull c Year Month (m/s) (m/s) (m/s) (m/s) (m/s) (m/s) 2009 Jun 5.73 11.7 14.0 5.73 2.20 2.87 6.45 2009 Jul 6.26 12.7 14.8 6.26 2.77 2.42 7.05 2009 Aug 5.78 14.7 18.6 5.78 2.63 2.33 6.51 2009 Sep 6.47 18.0 22.4 6.47 3.90 1.74 7.28 2009 Oct 2.68 7.4 8.3 6.14 3.65 1.72 6.88 2009 Nov 4.66 14.9 17.1 3.63 2.69 1.44 4.02 2009 Dec 8.07 24.8 29.5 7.68 5.11 1.57 8.58 2010 Jan 14.58 24.7 28.8 7.77 4.99 1.62 8.69 2010 Feb 7.29 29.3 35.2 7.23 5.33 1.41 7.96 2010 Mar 5.42 16.7 18.9 5.32 2.87 1.91 5.99 2010 Apr 4.80 17.1 20.1 4.54 2.82 1.71 5.11 2010 May 6.68 19.1 22.7 6.56 3.93 1.70 7.36 2010 Jun 6.85 19.5 23.5 6.79 4.13 1.72 7.64 2010 Jul 5.24 13.6 17.4 5.24 2.63 2.10 5.91 MMM annual 6.59 29.3 35.2 6.13 3.95 1.62 6.86 Kaktovik Wind Resource Report Page 7 Time series graph, synthesized data Daily Wind Profile The daily wind profile indicates a minor variation of wind speeds throughout the day, with lowest wind speeds during the morning hours and highest wind speeds during late afternoon and early evening hours. This perspective changes somewhat when considering monthly views of daily profiles as more variation is observed. Annual daily wind profile (synth. data) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 0 2 4 6 8 10 Seasonal Wind Speed Profile Speed 30 A Speed 30 B Speed 20 0 6 12 18 24 0 1 2 3 4 5 6 7 Daily Wind Speed Profile Hour of Day Speed 30 A Speed 30 B Speed 20 Kaktovik Wind Resource Report Page 8 Monthly daily wind profiles (synth. data) Probability Distribution Function The probability distribution function (or histogram) of wind speed is a useful statistical tool to describe a site with “normal” a wind range of wind speeds (normal is defined as the Raleigh distribution with a Weibull k of 2.0). Given the data recovery problems in Kaktovik the probability distribution function should be considered suspect in accuracy, both with original data and with synthesized data. Wind Shear and Roughness A wind shear power law exponent of 0.097 indicates very low wind shear at the site; hence turbine construction at a low hub height is possibly a desirable option, although note again that data recovery problems impact the accuracy of this calculation. Related to wind shear, a calculated surface roughness 0 5 10 15 20 25 30 0 1 2 3 4 5 6 7 Probability Distibution Function, All Sectors Speed 20 (m/s) Kaktovik Wind Resource Report Page 9 of 0.0059 meters (indicating the height above ground level where wind velocity would be zero) indicates very smooth terrain (roughness description: lawn grass) surrounding the met tower, especially toward the primary wind direction of northeast, location of a large lagoon (with a frozen surface most of the year). Vertical wind shear profile (synth. data), wind speed > 4 m/s Wind shear by direction sector table (synth. data), wind speed > 4 m/s Direction Sector Time Steps Mean Wind Speed (m/s)Best-Fit Power Law Exp Surface Roughness (m)Speed 30 B Speed 20 348.75° - 11.25° 557 7.53 7.11 0.142 0.0212 11.25° - 33.75° 1,324 6.38 6.03 0.141 0.0199 33.75° - 56.25° 8,212 7.91 7.71 0.063 0.0000 56.25° - 78.75° 7,959 9.02 8.91 0.030 0.0000 78.75° - 101.25° 1,619 8.33 7.94 0.116 0.0045 101.25° - 123.75° 1,065 9.11 8.70 0.114 0.0038 123.75° - 146.25° 849 8.43 8.03 0.122 0.0065 146.25° - 168.75° 492 9.02 8.60 0.118 0.0051 168.75° - 191.25° 543 7.77 7.32 0.149 0.0298 191.25° - 213.75° 857 7.05 6.61 0.159 0.0456 213.75° - 236.25° 3,310 8.64 8.13 0.149 0.0296 236.25° - 258.75° 4,683 9.06 8.58 0.133 0.0134 258.75° - 281.25° 2,287 8.27 7.88 0.119 0.0055 281.25° - 303.75° 1,584 8.37 7.97 0.120 0.0057 303.75° - 326.25° 634 8.22 7.86 0.112 0.0031 326.25° - 348.75° 517 7.38 7.08 0.103 0.0015 0 2 4 6 8 10 0 20 40 60 80 100 Vertical Wind Shear Profile, All Sectors, 4 - 100 m/s Mean Wind Speed (m/s) Measured data Power law fit (alpha = 0.0965) Log law fit (z0 = 0.000773 m) Kaktovik Wind Resource Report Page 10 Extreme Winds Although thirteen months of data is minimal for calculation of extreme wind probability, use of a modified Gumbel distribution analysis, based on monthly maximum winds vice annual maximum winds, yields reasonably good results. Caution should be exercised though in that one month of data – October 2009 – had to be removed due to the lost data card and data recovery in general was problematic in Kaktovik. That said, extreme wind analysis indicates a desirable situation in Kaktovik: moderately high mean wind speed combined with relatively low (probable) extreme wind speeds. This may be explained by particular climactic aspects of Kaktovik which because of its extreme northerly latitude, is not exposed to Gulf of Alaska storm winds which tend to significantly increase the long-term probability of damaging winds. Industry standard reference of extreme wind is the 50 year, 10-minute average probable wind speed, referred to as Vref. For Wainwright, this calculates to 35.4 m/s, below the threshold of International Electrotechnical Commission (IEC) 61400-1, 3rd edition criteria (of 37.5 m/s) for a Class III site. Note that Class III extreme wind classification is the lowest defined and all wind turbines are designed for this wind regime. Extreme wind sped probability table Period (years) Vref Gust IEC 61400-1, 3rd ed. (m/s) (m/s) Class Vref, m/s 2 25.1 30.1 I 50.0 10 30.3 36.2 II 42.5 15 31.6 37.8 III 37.5 30 33.7 40.4 S designer- specified5035.4 42.3 100 37.5 44.9 average gust factor:1.20 Extreme wind speed probability graph 24.0 29.0 34.0 39.0 44.0 49.0 0 10 20 30 40 50 60 70 80 90 100 Period, years Vref Gust Kaktovik Wind Resource Report Page 11 Temperature and Density Kaktovik experiences cool summers and very cold winters. The result is high air density. Calculated air density exceeds standard air density for a sea level elevation (1.225 Kg/m3) by over eight percent. This is advantageous in wind power operations as wind turbines produce more power at low temperatures (high air density) than at standard temperature and density. Temperature and density table Temperature Air Density Mean Min Max Mean Min Max Month (°C) (°C) (°C) (kg/m³) (kg/m³) (kg/m³) Jan -25.8 -38.6 -11.4 1.427 1.348 1.504 Feb -22.7 -40.1 -12.6 1.410 1.354 1.513 Mar -24.2 -35.7 -11.7 1.412 1.224 1.485 Apr -10.3 -29.7 1.5 1.343 1.284 1.449 May -4.0 -21.4 8.0 1.294 1.224 1.401 Jun 2.4 -1.1 10.0 1.280 1.246 1.296 Jul 6.7 1.0 17.4 1.261 1.214 1.287 Aug 5.7 -0.4 14.7 1.265 1.225 1.293 Sep 1.9 -9.5 16.3 1.283 1.219 1.338 Oct -4.0 -6.1 -2.4 1.229 1.224 1.321 Nov -21.1 -30.0 -15.8 1.325 1.224 1.451 Dec -17.9 -31.9 -1.7 1.383 1.299 1.462 Annual -9.4 -40.1 17.4 1.325 1.214 1.513 Monthly temperature boxplot Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ann -50 -40 -30 -20 -10 0 10 20 Monthly Statistics for Temperature max daily high mean daily low min Kaktovik Wind Resource Report Page 12 Air density DMap Wind Speed Scatterplot The wind speed versus temperature scatterplot below indicates that a substantial percentage of wind in Kaktovik coincides with very cold temperatures, as one would expect give the location on the Arctic Ocean coast. Temperatures have fallen below -40°C, the minimum operating temperature of arctic- capable wind turbines presently operating in Alaska, but only a few times during the measurement period. Wind speed versus temperature scatterplot (synth. data) Kaktovik Wind Resource Report Page 13 Wind direction Wind frequency rose data indicates highly directional winds from the northeast and southwest. Power density rose data (representing the power in the wind) indicates power winds are very strongly directional, from 060°T and directly opposite, from 240°T. Calm frequency (percent of time that winds at 30 meter level are less than 3.5 m/s) was 27 percent during the met tower test period, but this statistic may be suspect due to the large amount of data loss. Wind frequency rose Mean value rose Total energy rose Scatterplot rose Kaktovik Wind Resource Report Page 14 Wind density roses by month Turbulence Turbulence intensity at the Kaktovik test site is well within acceptable standards with an IEC 61400-1, 3rd edition (2005) classification of turbulence category C, which is the lowest defined. Mean turbulence intensity at 15 m/s is 0.076 (at 20 meters). Turbulence intensity, all wind sectors 0 5 10 15 20 25 30 35 0.0 0.1 0.2 0.3 0.4 0.5 0.6 Turbulence Intensity at 20 m, All Sectors Wind Speed (m/s) Representative TI IEC Category A IEC Category B IEC Category C Kaktovik Wind Resource Report Page 15 Turbulence intensity, NE to ENE wind sector Turbulence intensity by direction Turbulence table (20 m anemometer) Bin Bin Endpoints Records in Bin Mean TI Std. Deviation of TI Represen tative TI Peak TI Midpoint Lower Upper (m/s) (m/s) (m/s) 1 0.5 1.5 1,676 0.363 0.155 0.561 1.111 2 1.5 2.5 3,458 0.174 0.084 0.282 1.250 3 2.5 3.5 4,851 0.115 0.049 0.178 0.515 4 3.5 4.5 4,924 0.090 0.037 0.137 0.400 5 4.5 5.5 4,654 0.076 0.031 0.116 0.378 6 5.5 6.5 3,863 0.073 0.027 0.108 0.309 0 5 10 15 20 25 30 0.0 0.1 0.2 0.3 0.4 0.5 0.6 Turbulence Intensity at 20 m, 45° - 75° Wind Speed (m/s) Representative TI IEC Category A IEC Category B IEC Category C Kaktovik Wind Resource Report Page 16 7 6.5 7.5 3,671 0.074 0.024 0.105 0.269 8 7.5 8.5 2,936 0.073 0.021 0.101 0.320 9 8.5 9.5 2,328 0.073 0.019 0.098 0.326 10 9.5 10.5 1,826 0.074 0.017 0.096 0.231 11 10.5 11.5 1,579 0.074 0.016 0.094 0.159 12 11.5 12.5 1,134 0.074 0.015 0.094 0.183 13 12.5 13.5 587 0.076 0.016 0.097 0.154 14 13.5 14.5 499 0.077 0.015 0.096 0.152 15 14.5 15.5 404 0.076 0.014 0.095 0.166 16 15.5 16.5 261 0.080 0.013 0.097 0.123 17 16.5 17.5 189 0.080 0.014 0.098 0.145 18 17.5 18.5 95 0.080 0.017 0.102 0.183 19 18.5 19.5 46 0.075 0.011 0.088 0.104 20 19.5 20.5 15 0.076 0.009 0.088 0.097 21 20.5 21.5 40 0.074 0.008 0.084 0.086 22 21.5 22.5 74 0.072 0.010 0.084 0.096 23 22.5 23.5 73 0.074 0.010 0.087 0.100 24 23.5 24.5 34 0.068 0.007 0.078 0.085 25 24.5 25.5 28 0.062 0.007 0.071 0.080 26 25.5 26.5 33 0.060 0.007 0.068 0.073 27 26.5 27.5 29 0.063 0.008 0.072 0.089 28 27.5 28.5 13 0.064 0.006 0.072 0.076 29 28.5 29.5 4 0.067 0.006 0.074 0.072 30 29.5 30.5 0 Airport AWOS Data In 2005, Alaska Energy Authority (AEA) personnel analyzed the wind resource at all Automated Weather Observing Station (AWOS) and Automated Surface Observing System (ASOS) sites in Alaska. At most stations, AWOS/ASOS data has been collected for twenty-five or more years. Barter Island DEW Station (ICAO station identifier: PABA) data has been collected by an AWOS since 1973. AWOS data summarized below is through 2004. The AEA report documents data from AWOS sensor, which is 8 meters above ground level. To compare this data to the met tower lower sensor height of 20, the AWOS data was adjusted using an exponent extrapolation function with a power law exponent value of 0.097, the measured shear value at the met tower site. Comparing to the met tower 20 meter anemometer (both the collected data set and the synthesized data set), one can see that average wind speeds recorded by the met tower are approximately that predicted by the Barter Island DEW Station AWOS data. By itself, the AWOS data indicates a Class 6 wind resource, hence confirming the wind resource measured at the met tower site, data recovery problems aside. Kaktovik Wind Resource Report Page 17 DEW Station/met tower data comparison Barter Island DEW Met Tower, 20m anem. AWOS, 8 m sensor Data adj. to 20 m Collected data Synthesized data (m/s) (m/s) (m/s) (m/s) Jan 6.8 7.43 14.58 7.77 Feb 5.9 6.45 7.29 7.23 Mar 5.7 6.23 5.42 5.32 Apr 5.2 5.68 4.80 4.54 May 6.0 6.56 6.68 6.56 Jun 5.2 5.68 6.69 6.64 Jul 5.3 5.79 5.88 5.88 Aug 5.2 5.68 5.78 5.78 Sep 5.8 6.34 6.47 6.47 Oct 7.0 7.65 2.68 6.14 Nov 6.9 7.54 4.66 3.63 Dec 6.2 6.78 8.07 7.68 Annual 5.9 6.48 6.59 6.14