LONG-TERM SITE WIND DATA REPORT. Thompson Island

Size: px
Start display at page:

Download "LONG-TERM SITE WIND DATA REPORT. Thompson Island"

Transcription

1 LONG-TERM SITE WIND DATA REPORT Thompson Island January 1, 2005 December 31, 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive Westborough, MA By Christopher N. Elkinton Anthony L. Rogers Anthony F. Ellis March 9, 2006 Renewable Energy Research Laboratory 160 Governors Drive, (413)

2 NOTICE AND ACKNOWLEDGEMENTS This report was prepared by the Renewable Energy Research Laboratory (RERL) at the in the course of performing work sponsored by the Renewable Energy Trust (RET), as administered by the Massachusetts Technology Collaborative (MTC), pursuant to work order number The opinions expressed in this report do not necessarily reflect those of MTC or the Commonwealth of Massachusetts, and reference to any specific product, service, process, or method does not constitute an implied or expressed recommendation or endorsement of it. Further, MTC, the Commonwealth of Massachusetts, and RERL make no warranties or representations, expressed or implied, as to the fitness for particular purpose or merchantability of any product, apparatus, or service, or the usefulness, completeness, or accuracy of any processes, methods or other information contained, described, disclosed, or referred to in this report. MTC, the Commonwealth of Massachusetts, and the contractor make no representation that the use of any product, apparatus, process, method, or other information will not infringe privately owned rights and will assume no liability for any loss, injury, or damage directly or indirectly resulting from, or occurring in connection with, the use of information contained, described, disclosed, or referred to in this report. March 9, 2006 Renewable Energy Research Laboratory Page 1

3 TABLE OF CONTENTS Notice and Acknowledgements... 1 Table of Contents... 2 Table of Figures... 3 Executive Summary... 4 SECTION 1 - Station Location... 5 SECTION 2 - Instrumentation and Equipment... 6 SECTION 3 - Data Collection and Maintenance... 7 SECTION 4 - Data Recovery and Validation... 8 Test Definitions... 9 Sensor Statistics SECTION 5 - Data Summary SECTION 6 - Graphs Wind Speed Time Series Wind Speed Distribution Monthly Average Wind Speeds Diurnal Average Wind Speeds Turbulence Intensities Wind Rose APPENDIX A - Sensor Performance Report Test Definitions Sensor Statistics: January 2005 December Sensor Statistics: January Sensor Statistics: February Sensor Statistics: March Sensor Statistics: April Sensor Statistics: May Sensor Statistics: June Sensor Statistics: July Sensor Statistics: August Sensor Statistics: September Sensor Statistics: October Sensor Statistics: November Sensor Statistics: December APPENDIX B - Plot Data Wind Speed Distribution Data Monthly Average Wind Speed Data Diurnal Average Wind Speed Data Wind Rose Data March 9, 2006 Renewable Energy Research Laboratory Page 2

4 TABLE OF FIGURES Figure 1 - Site location on Thompson Island... 5 Figure 2 - Monitoring Station/Data Equipment at Thompson Island... 6 Figure 3 - Wind Speed Time Series, January 2005 December Figure 4 Wind Speed Distribution, January 2005 December Figure 5 Average Monthly Wind Speeds, January 2005 December Figure 6 Diurnal Average Wind Speeds, January 2005 December Figure 7 Turbulence Intensity vs. Wind Speed, January 2005 December Figure 8 - Wind Rose, January 2005 December March 9, 2006 Renewable Energy Research Laboratory Page 3

5 EXECUTIVE SUMMARY All the work presented in this Wind Data Report, including installation and decommissioning of the meteorological tower and instrumentation and the data analysis and reporting, were performed by the Renewable Energy Research Laboratory (RERL) at the. Wind monitoring equipment was first installed at Thompson Island in Due to planned construction by the Outward Bound School on the island, the monitoring tower was relocated in November 2001 from a central, inland site, to the current site, which is closer to the western shoreline, 4 m (13 ft) above sea level. Anemometers and wind direction vanes are installed at 25 and 40 m (82 and 131 ft) above the tower base. A temperature sensor and a solar sensor (pyranometer) are installed near the base. During the period covered by this yearly report, January 1, 2005 December 31, 2005, the mean recorded wind speed at 40 m was 5.9 m/s (13.2 mph) and the prevailing wind direction was from the southwest. The average turbulence intensity at 40 m was 0.15, which is typical for this site. The gross data recovery percentage (the actual percentage of expected data received) was 100.0% and the net data recovery percentage (the percentage of expected data which passed all of the quality assurance tests) was 97.4%. The vast majority of the invalid data were due to the failure of the primary anemometer at 40 m on November 10, The secondary anemometer has been used for the data analysis since that time. Additional information about interpreting the data presented in this report can be found in the Fact Sheet, "Interpreting Your Wind Resource Data," produced by RERL and the Massachusetts Technology Collaborative (MTC). This document is found through the RERL website: * 1m/s = mph March 9, 2006 Renewable Energy Research Laboratory Page 4

6 SECTION 1 - Station Location Thompson Island is located in Boston Harbor, approx 2 ½ miles south of Logan Airport. It is home to the Outward Bound School of Boston. The 40 m (131 ft) monitoring tower is located at North, West (see Figure 1). The location is near the western shore of the island, located on a small bluff, 4 m (13 ft) above sea level. Figure 1 - Site location on Thompson Island March 9, 2006 Renewable Energy Research Laboratory Page 5

7 SECTION 2 - Instrumentation and Equipment The 40 m (131 ft) monitoring tower and associated equipment are supplied by NRG systems, with the exceptions of custom made anemometer booms, temperature sensor, and the FAAapproved L-810 warning light. The wind speed and direction were measured at both 25 and 40 m (82 and 131 ft) height. The monitoring equipment (Figure 2) consists of the following items: Model 9300 Cellogger, serial # 0568 Electrical enclosure box with 5 watt PV panel Yagi directional antenna and mount NRG 40m tower, 4.5 diameter model 4 #40 Anemometers, standard calibration (Slope 0.765, Offset 0.350) 2 - #200P Wind direction vanes (Slope 1.0, Offset 0.0) 1 Li-Cor Solar sensor (Slope 70.9, Offset 0.0) 1- Custom temp sensor (Slope , Offset ) 2 Sensor booms, 54 length at 25 m 2 - Sensor booms, 44 length at 40 m 2 Z masts, for vane mount Lightning rod and grounding cable Shielded sensor wire Figure 2 - Monitoring Station/Data Equipment at Thompson Island March 9, 2006 Renewable Energy Research Laboratory Page 6

8 The NRG 9300 system logger is equipped with a built-in cell phone so that the data can be transmitted weekly to a PC, located at the. The logger samples wind speed and direction once every second. These are then combined into 10- minute averages, and along with the standard deviation for those 10-minute periods, are put into a binary file. These binary files are converted to ASCII text files using the NRG software BaseStation. These text files are then imported into a database software program where they are subjected to quality assurance (QA) tests prior to using the data. SECTION 3 - Data Collection and Maintenance The following maintenance/equipment problems occurred during the year of 2005, and the following corrective action was taken: The primary anemometer at 40 m height, called Anem40a, failed on November 10, This failure is the cause of the lower than normal Net Data Recovery percentage. The secondary anemometer at 40 m, called Anem40b, is now the only sensor contributing to the mean wind speed at 40 m. The failed sensor will be replaced during the spring of A routine site visit was made on May 31. It was determined that the FAA light was not working properly. The FAA light was fixed on June 20. There were no other equipment or maintenance problems for the remainder of the year. No measurement of wind speed can be perfectly accurate. Errors occur due to anemometer manufacturing variability, anemometer calibration errors, the response of anemometers to turbulence and vertical air flow and due to air flows caused by the anemometer mounting system. Every effort is made to reduce the sources of these errors. Nevertheless, the values reported in this report have an expected uncertainty of about ± 2% or ± 0.2 m/s. The data statistics summary table gives the wind characteristics for each month of 2005 and also gives the overall annual 2005 wind characteristics, including mean wind speed, maximum wind speed, average turbulence intensity, prevailing wind direction, net data recovery for the anemometer at each level with the highest percentage of good data, and the average power law shear exponent. A complete description of net data recovery is given in Section 4. The sensor statistics for each month and the entire year of 2005 are in APPENDIX A. March 9, 2006 Renewable Energy Research Laboratory Page 7

9 Date Mean Wind Speed Max Wind Speed Data Statistics Summary Turbulence Intensity Prevailing Wind Direction 40 m 25 m [ ] [ ] Power Good Data Law Shear Exponent 40 m 25 m [%] [%] [ ] Heights units 40 m [m/s] 25 m [m/s] 40 m [m/s] 25 m [m/s] 40 m [ ] 25 m [ ] Jan NW NW Feb WNW WNW Mar W W Apr E E May NNE NNE Jun SW SW Jul SSW SSW Aug SW SW Sep SSW SSW Oct NE NE Nov SW SW Dec WSW WSW SW SW The data reported in the Data Statistics Summary table are only based on the percentages of good data indicated; missing data may skew these values. SECTION 4- Data Recovery and Validation All raw wind data are subjected to a series of tests and filters to weed out data that are faulty or corrupted. Definitions of these quality assurance (QA) controls are given below under Test Definitions and Sensor Statistics. These control filters were designed to automate the quality control process and used many of the previous hand-worked data sets made at UMass to affect a suitable emulation. The gross percentage of data recovered (ratio of the number of raw data points received to data points expected) and net percentage (ratio of raw data points which passed all QA control tests to data points expected) are shown below for the reporting period January 1 to December 31, Gross Data Recovered [%] Net Data Recovered [%] The high gross data recovery percentage indicates that the logger was performing well. The lower net data recovery is due to the failure of the primary anemometer at 40 m which began on November 10, March 9, 2006 Renewable Energy Research Laboratory Page 8

10 Test Definitions All raw data were subjected to a series of validation tests, as described below. The sensors tested and the parameters specific to each sensor are given in the Sensor Performance Report that is included in APPENDIX A. Data that were flagged as invalid were not included in the statistics presented in this report. MinMax Test: All sensors are expected to report data values within a range specified by the sensor and logger manufacturers. If a value falls outside this range, it is flagged as invalid. A data value from the sensor listed in Test Field 1 (TF1) is flagged if it is less than Factor 1 (F1) or greater than Factor 2. This test has been applied to the following sensors (as applicable): wind speed, wind speed standard deviation, wind direction, temperature, and solar insolation. F1 > TF1 > F2 MinMaxT Test: This is a MinMax test for wind direction standard deviation with different ranges applied for high and low wind speeds. A wind direction standard deviation data value (TF1) is flagged either if it is less than Factor 1, if the wind speed (TF2) is less than Factor 4 and the wind direction standard deviation is greater than Factor 2, or if the wind speed is greater than or equal to Factor 4 and the wind direction standard deviation is greater than Factor 3. (TF1 < F1) or (TF2 < F4 and TF1 > F2) or (TF2 F4 and TF1 > F3) Icing Test: An icing event occurs when ice collects on a sensor and degrades its performance. Icing events are characterized by the simultaneous measurements of nearzero standard deviation of wind direction, non-zero wind speed, and near- or belowfreezing temperatures. Wind speed, wind speed standard deviation, wind direction, and wind direction standard deviation data values are flagged if the wind direction standard deviation (CF1) is less than or equal to Factor 1 (F1), the wind speed (TF1) is greater than Factor 2 (F2), and the temperature (CF2) is less than Factor 3 (F3). To exit an icing event, the wind direction standard deviation must be greater than Factor 4. CF1 F1 and TF1 > F2 and CF2 < F3 CompareSensors Test: Where primary and redundant sensors are used, it is possible to determine when one of the sensors is not performing properly. For anemometers, poor performance is characterized by low data values. Therefore, if one sensor of the pair reports values significantly below the other, the low values are flagged. At low wind speeds (Test Fields 1 and 2 less than or equal to Factor 3) wind speed data are flagged if the absolute difference between the two wind speeds is greater than Factor 1. At high March 9, 2006 Renewable Energy Research Laboratory Page 9

11 wind speeds (Test Fields 1 or 2 greater than Factor 3) wind speed data are flagged if the absolute value of the ratio of the two wind speeds is greater is greater than Factor 2. [ TF1 F3 and TF2 F3 and abs(tf1 - TF2) > F1 ] or [ (TF1 > F3 or TF2 > F3) and (abs(1 - TF1 / TF2) > F2 or abs(1 - TF2 / TF1) > F2) ] Sensor Statistics Expected Data : the total number of sample intervals between the start and end dates (inclusive). Actual Data : the total number of data points recorded between the start and end dates. Recovered: the ratio of actual and expected data points (this is the gross data recovered percentage). Hours Out of Range: total number of hours for which data were flagged according to MinMax and MinMaxT tests. These tests flag data that fall outside of an expected range. Icing: total number of hours for which data were flagged according to Icing tests. This test uses the standard deviation of wind direction, air temperature, and wind speed to determine when sensor icing has occurred. Fault: total number of hours for which data were flagged according to CompareSensors tests. These tests compare two sensors (e.g. primary and redundant anemometers installed at the same height) and flag data points where one sensor differs significantly from the other. Good: the filter results are subtracted from the gross data recovery percentage to yield the net data recovered percentage. SECTION 5 - Data Summary This report contains several types of wind data graphs. Unless otherwise noted, each graph represents data at a height of 37 m (121.4 ft) for the entire year of The following graphs are included: Time Series In Figure 3, 10-minute average wind speeds are plotted against time for all data starting on January 1, 2005, at midnight through December 31, 2005, at 11:50 P.M. March 9, 2006 Renewable Energy Research Laboratory Page 10

12 Wind Speed Distribution A histogram plot giving the percentage of time that the wind is at a given wind speed is shown in Figure 4. This distribution has a maximum at approximately 5 m/s (11.2 mph). Monthly Averages A plot of the average monthly wind speed for each month of data is shown in Figure 5. This graph shows that for Thompson Island, October had the highest average monthly wind speed for the year: 6.9 m/s (15.4 mph). The lowest was in August 2005, with an average wind speed of 4.7 m/s (10.5 mph). Diurnal Average Wind Speeds Figure 6 is a plot of the average wind speed for each hour of the day. This graph shows the typical diurnal trend higher wind speeds in the afternoon, lower speeds in the morning. The peak for Thompson Island occurred between 2 PM and 3 PM. The minimum occurred around midnight and lasted until about 8 AM. Turbulence Intensity A plot of turbulence intensity as a function of wind speed is shown in Figure 7. Turbulence Intensity is calculated as the standard deviation of the wind speed divided by the 10-minute mean wind speed and is a measure of the gustiness of a wind resource. Lower turbulence results in lower mechanical loads on a wind turbine. The average wind speed of 5.9 m/s (13.2 mph) falls on the portion of the graph where the turbulence intensity curve has bottomed out, suggesting that, on average, this site experiences low turbulence intensities. For Thompson Island, the average turbulence intensity was 0.15, which is typical for coastal sites. Wind Rose Figure 8 is a plot, by compass direction, showing the percentage of time that the wind comes from a given direction and the average wind speed in that direction at the 40 m level. This wind rose shows that the prevailing wind direction at the 40 m level is from the southwest. Wind blew from this direction 10.2% of the time with a mean wind speed of 5.6 m/s (12.5 mph). March 9, 2006 Renewable Energy Research Laboratory Page 11

13 SECTION 6 - Graphs Data for the wind speed histogram and wind rose are included in APPENDIX B. Wind Speed Time Series 25 Thompson Island Wind Speed Time Series, 40 m 20 Wind Speed [m/s] Jan 2005 Apr 2005 Jul 2005 Time Oct 2005 Jan 2006 Plot by DQMS3 - dqms@dqms.com Figure 3 - Wind Speed Time Series, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 12

14 Wind Speed Distribution 15 Thompson Island Wind Speed Distribution, 40 m 12 Percent Time [%] Wind Speed [m/s] Plot by DQMS3 - dqms@dqms.com Figure 4 Wind Speed Distribution, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 13

15 Monthly Average Wind Speeds Mean Wind Speed [m/s] Jan 05 Thompson Island Average Wind Speeds, 40 m Feb 05 Mar 05 Apr 05 May 05 Jun 05 Jul 05 Aug 05 Sep 05 Oct 05 Nov 05 Dec 05 Month Plot by DQMS3 - dqms@dqms.com Figure 5 Average Monthly Wind Speeds, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 14

16 Diurnal Average Wind Speeds 8 Thompson Island Diurnal Average Wind Speed, 40 m 7 Mean Wind Speed [m/s] Hour of Day Plot by DQMS3 - dqms@dqms.com Figure 6 Diurnal Average Wind Speeds, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 15

17 Turbulence Intensities Thompson Island Turbulence Intensity, 40 m 1.4 Turbulence Intensity [ ] Wind Speed [m/s] Plot by DQMS3 - dqms@dqms.com Figure 7 Turbulence Intensity vs. Wind Speed, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 16

18 Wind Rose Thompson Island Wind Rose, 40 m N 20 NW 15 NE W E SW 15 SE 20 S Percent Time [%] Mean Wind Speed [m/s] Plot by DQMS3 - dqms@dqms.com Figure 8 - Wind Rose, January 2005 December 2005 March 9, 2006 Renewable Energy Research Laboratory Page 17

19 APPENDIX A - Sensor Performance Report Test Definitions Test Order Test Field1 Test Field2 Test Field3 Calc Field1 Calc Field2 Calc Field3 TestType 1 TimeTest Insert 2 Itmp2aDEGC MinMax Batt2aVDC MinMax Etmp3aDEGC MinMax EtmpSD3aDEGC MinMax Anem40aMS MinMax Anem40bMS MinMax Anem25aMS MinMax Anem25bMS MinMax Anem40yMS MinMax Anem25yMS MinMax AnemSD40aMS MinMax AnemSD40bMS MinMax AnemSD25aMS MinMax AnemSD25bMS MinMax AnemSD40yMS MinMax AnemSD25yMS MinMax Vane40aDEG MinMax Vane25aDEG MinMax Pyro3aWMS MinMax PyroSD3aWMS MinMax Turb40zNONE MinMax Turb25zNONE MinMax Wshr0zNONE MinMax VaneSD40aDEG Anem40yMS MinMaxT VaneSD25aDEG Anem25yMS MinMaxT Anem40aMS AnemSD40aMS Vane40aDEG VaneSD40aDEG Etmp3aDEGC Icing Anem40bMS AnemSD40bMS Vane40aDEG VaneSD40aDEG Etmp3aDEGC Icing Anem25aMS AnemSD25aMS Vane25aDEG VaneSD25aDEG Etmp3aDEGC Icing Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Etmp3aDEGC Icing Anem40aMS Anem40bMS CompareSensors Anem25aMS Anem25bMS CompareSensors Factor 1 Factor 2 Factor 3 Factor 4 March 9, 2006 Renewable Energy Research Laboratory Page 18

20 Sensor Statistics: January 2005 December 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Good Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 19

21 Sensor Statistics: January 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Good Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 20

22 Sensor Statistics: February 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Good Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 21

23 Sensor Statistics: March 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Good Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 22

24 Sensor Statistics: April 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Good Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 23

25 Sensor Statistics: May 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Good Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 24

26 Sensor Statistics: June 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Good Batt2aVDC Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 25

27 Sensor Statistics: July 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Good Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 26

28 Sensor Statistics: August 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Good Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 27

29 Sensor Statistics: September 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Good Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 28

30 Sensor Statistics: October 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Good Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 29

31 Sensor Statistics: November 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Good Itmp2aDEGC Batt2aVDC Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 30

32 Sensor Statistics: December 2005 Sensor Expected Data Actual Data Recovered Hours Out of Range Icing Fault Itmp2aDEGC Batt2aVDC Good Anem40aMS AnemSD40aMS Anem40bMS AnemSD40bMS Anem25aMS AnemSD25aMS Anem25bMS AnemSD25bMS Vane25aDEG VaneSD25aDEG Vane40aDEG VaneSD40aDEG Etmp3aDEGC EtmpSD3aDEGC Pyro3aWMS PyroSD3aWMS Total March 9, 2006 Renewable Energy Research Laboratory Page 31

33 APPENDIX B - Plot Data Wind Speed Distribution Data Bin Center Wind Speed [m/s] Percent of Time [%] Table 1: Wind Speed Distribution March 9, 2006 Renewable Energy Research Laboratory Page 32

34 Monthly Average Wind Speed Data Date Mean [m/s] Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Table 2 - Wind Speed Averages March 9, 2006 Renewable Energy Research Laboratory Page 33

35 Diurnal Average Wind Speed Data Hour of Day Average Wind Speed [m/s] Table 3 - Diurnal Average Wind Speeds March 9, 2006 Renewable Energy Research Laboratory Page 34

36 Wind Rose Data Percent Time Mean Wind Speed Direction [%] [m/s] N NNE NE ENE E ESE SE SSE S SSW SW WSW W WNW NW NNW Table 4: Wind Rose, Time Percentage and Mean Wind Speed by Direction March 9, 2006 Renewable Energy Research Laboratory Page 35

LONG-TERM SITE WIND DATA REPORT. Mt. Tom

LONG-TERM SITE WIND DATA REPORT. Mt. Tom LONG-TERM SITE WIND DATA REPORT Mt. Tom January 1, 2005 December 31, 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive Westborough, MA 01581 By Melissa L. Ray Anthony L. Rogers Anthony

More information

DATE OF BIRTH SORTING (DBSORT)

DATE OF BIRTH SORTING (DBSORT) DATE OF BIRTH SORTING (DBSORT) Release 3.1 December 1997 - ii - DBSORT Table of Contents 1 Changes Since Last Release... 1 2 Purpose... 3 3 Limitations... 5 3.1 Command Line Parameters... 5 4 Input...

More information

How to Wrangle Data. using R with tidyr and dplyr. Ken Butler. March 30, / 44

How to Wrangle Data. using R with tidyr and dplyr. Ken Butler. March 30, / 44 1 / 44 How to Wrangle Data using R with tidyr and dplyr Ken Butler March 30, 2015 It is said that... 2 / 44 80% of data analysis: getting the data into the right form maybe 20% is making graphs, fitting

More information

SHADOW - Main Result. windpro EFFECTEN SLAGSCHADUW HERENTALS GEPLANDE WINDTURBINES HERENTALS. EDF Luminus Markiesstraat Brussel

SHADOW - Main Result. windpro EFFECTEN SLAGSCHADUW HERENTALS GEPLANDE WINDTURBINES HERENTALS. EDF Luminus Markiesstraat Brussel SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 2 % of sun is covered by the blade Please look in WTG table Minimum sun height over

More information

CIMA Asia. Interactive Timetable Live Online

CIMA Asia. Interactive Timetable Live Online CIMA Asia Interactive Timetable 2017 2018 Live Online Version 1 Information last updated 09 October 2017 Please note: Information and dates in this timetable are subject to change. CIMA Cert BA Course

More information

BEAM TILTED CORRELATIONS. Frank Vignola Department of Physics University of Oregon Eugene, OR

BEAM TILTED CORRELATIONS. Frank Vignola Department of Physics University of Oregon Eugene, OR BEAM TILTED CORRELATIONS Frank Vignola Department of Physics University of Oregon Eugene, OR 9743-1274 fev@uoregon.edu ABSTRACT A model is described and evaluated that calculates beam irradiance from tilted

More information

Undergraduate Admission File

Undergraduate Admission File Undergraduate Admission File June 13, 2007 Information Resources and Communications Office of the President University of California Overview Population The Undergraduate Admission File contains data on

More information

Energy Engineering: Tools and Trends

Energy Engineering: Tools and Trends Energy Engineering: Tools and Trends AEE Northeast Ohio Chapter Meeting March 27, 2008 1 Introduction Background and Experience Energy Engineer for Trane 20 years in HVAC Industry Equipment design and

More information

Nigerian Telecommunications (Services) Sector Report Q2 2016

Nigerian Telecommunications (Services) Sector Report Q2 2016 Nigerian Telecommunications (Services) Sector Report Q2 2016 01 SEPTEMBER 2016 Telecommunications Data The telecommunications data used in this report were obtained from the National Bureau of Statistics

More information

Nigerian Telecommunications Sector

Nigerian Telecommunications Sector Nigerian Telecommunications Sector SUMMARY REPORT: Q4 and full year 2015 NATIONAL BUREAU OF STATISTICS 26th April 2016 Telecommunications Data The telecommunications data used in this report were obtained

More information

CIMA Asia. Interactive Timetable Live Online

CIMA Asia. Interactive Timetable Live Online CIMA Asia Interactive Timetable 2018 Live Online Information version 8 last updated 04/05/18 Please note information and dates are subject to change. Premium Learning Partner 2018 CIMA Cert BA Course Overview

More information

GLOBAL SOLUTIONS IN ENGINEERING. Power Performance Testing

GLOBAL SOLUTIONS IN ENGINEERING. Power Performance Testing GLOBAL SOLUTIONS IN ENGINEERING Power Performance Testing Buildings Municipal Infrastructure Transportation Industrial Energy Environment 2 Why Power Perfomance Testing? Identification of turbine performance

More information

NMOSE GPCD CALCULATOR

NMOSE GPCD CALCULATOR NMOSE CALCULATOR It should be noted that all the recorded data should be from actual metered results and should not include any estimates. Gallons per Capita - v2.4 Beta Release Date: Mar, 16, 29 This

More information

Grade 4 Mathematics Pacing Guide

Grade 4 Mathematics Pacing Guide Jul 2014 ~ August 2014 ~ Sep 2014 1 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 Routines 19 Routines 20 Routines BOY 22 BOY 23 24 11 12 14 29 15 30 31 Notes: Found Online @ wwweverydaymathonlinecom 1 More Calendars

More information

Scheduled Base Rental Revenue 919, , , ,027 1,013,613 1,038,875 1,064,831 1,091, ,637 1,099,323 1,132,302 1,166,272

Scheduled Base Rental Revenue 919, , , ,027 1,013,613 1,038,875 1,064,831 1,091, ,637 1,099,323 1,132,302 1,166,272 Time : 10:30 am Page : 1 Schedule Of Prospective Cash Flow In Inflated Dollars for the Fiscal Year Beginning 9/1/2010 Potential Gross Revenue Base Rental Revenue $919,148 $941,812 $965,099 $989,027 $1,013,613

More information

Contents:

Contents: Contents: Conventional/REO/Short Sale Single Family Sold Sold Properties by Cities - Properties Sold Supply Inventory Median Price Comparison by Year www.swflrealtors.com Page #. Single Family & Condo

More information

AIMMS Function Reference - Date Time Related Identifiers

AIMMS Function Reference - Date Time Related Identifiers AIMMS Function Reference - Date Time Related Identifiers This file contains only one chapter of the book. For a free download of the complete book in pdf format, please visit www.aimms.com Aimms 3.13 Date-Time

More information

Library. Summary Report

Library. Summary Report Library Summary Report 217-218 Prepared by: Library Staff December 218 Table of Contents Introduction..1 New Books.2 Print Circulation.3 Interlibrary Loan 4 Information Literacy 5 Reference Statistics.6

More information

Airside Congestion. Airside Congestion

Airside Congestion. Airside Congestion Airside Congestion Amedeo R. Odoni T. Wilson Professor Aeronautics and Astronautics Civil and Environmental Engineering Massachusetts Institute of Technology Objectives Airside Congestion _ Introduce fundamental

More information

I.A.C. - Italian Activity Contest.

I.A.C. - Italian Activity Contest. I.A.C. - Italian Activity Contest. RULES FOR 2017 I.A.C. EDITION. Scope: Main goal of the I.A.C. - Italian Activity Contest is to promote, encourage and support the use of the HAM bands from 50 MHz to

More information

Appendix A - Calibration Data Sheets for Pika T701 Test Instruments Primary Anemometer Pre-Test Calibration

Appendix A - Calibration Data Sheets for Pika T701 Test Instruments Primary Anemometer Pre-Test Calibration Appendix A - Calibration Data Sheets for Pika T701 Test Instruments Primary Anemometer Pre-Test Calibration Figure A1. Primary anemometer manufacturer calibration sheet pg 1 of 2. 29 Figure A2. Primary

More information

INTERTANKO Vetting seminar 24 th October 2017

INTERTANKO Vetting seminar 24 th October 2017 INTERTANKO Vetting seminar 24 th October 2017 SIRE Developments VIQ 7 New VIQ being developed Structure will remain the same with 13 chapters. Reduction in the number of questions, net approx. 70 decrease.

More information

UC DAVIS THERMAL ENERGY STORAGE (TES) TANK OPTIMIZATION INVESTIGATION MATTHEW KALLERUD, DANNY NIP, MIANFENG ZHANG TTP289A JUNE 2012

UC DAVIS THERMAL ENERGY STORAGE (TES) TANK OPTIMIZATION INVESTIGATION MATTHEW KALLERUD, DANNY NIP, MIANFENG ZHANG TTP289A JUNE 2012 UC DAVIS THERMAL ENERGY STORAGE (TES) TANK OPTIMIZATION INVESTIGATION MATTHEW KALLERUD, DANNY NIP, MIANFENG ZHANG TTP289A 004 11 JUNE 2012 TABLE OF CONTENTS Abstract...3 Introduction...3 Methodology...4

More information

Single Family Months of Inventory. Condo Months of Inventory. May calgary regional housing market statistics

Single Family Months of Inventory. Condo Months of Inventory. May calgary regional housing market statistics May 211 calgary regional housing market statistics INNER CITY HOUSING MARKET LEADS IN SALES Buyers find value in inner city communities Total Single Family Months of Inventory Calgary, June 1, 211 According

More information

Removing Systematic Errors from Rotating Shadowband Pyranometer Data

Removing Systematic Errors from Rotating Shadowband Pyranometer Data Removing Systematic Errors from Rotating Shadowband Pyranometer Data Frank Vignola Solar Radiation Monitoring Laboratory Department of Physics University of Oregon Eugene, OR 9743-274 fev@uoregon.edu ABSTRACT

More information

Nigerian Telecommunications (Services) Sector Report Q3 2016

Nigerian Telecommunications (Services) Sector Report Q3 2016 Nigerian Telecommunications (Services) Sector Report Q3 2016 24 NOVEMBER 2016 Telecommunications Data The telecommunications data used in this report were obtained from the National Bureau of Statistics

More information

Excel Functions & Tables

Excel Functions & Tables Excel Functions & Tables SPRING 2016 Spring 2016 CS130 - EXCEL FUNCTIONS & TABLES 1 Review of Functions Quick Mathematics Review As it turns out, some of the most important mathematics for this course

More information

Quarterly Sales (in millions) FY 16 FY 15 FY 14 Q1 $706.8 $731.1 $678.5 Q Q Q

Quarterly Sales (in millions) FY 16 FY 15 FY 14 Q1 $706.8 $731.1 $678.5 Q Q Q The following represents historical unaudited financial and statistical information regarding MSC s operations. MSC does not undertake any obligation to update any of the information presented below to

More information

Organizing and Summarizing Data

Organizing and Summarizing Data 1 Organizing and Summarizing Data Key Definitions Frequency Distribution: This lists each category of data and how often they occur. : The percent of observations within the one of the categories. This

More information

Unit 5 Test 2 MCC5.G.1 StudyGuide/Homework Sheet

Unit 5 Test 2 MCC5.G.1 StudyGuide/Homework Sheet Unit 5 Test 2 MCC5.G.1 StudyGuide/Homework Sheet Tuesday, February 19, 2013 (Crosswalk Coach Page 221) GETTING THE IDEA! An ordered pair is a pair of numbers used to locate a point on a coordinate plane.

More information

3. EXCEL FORMULAS & TABLES

3. EXCEL FORMULAS & TABLES Winter 2019 CS130 - Excel Formulas & Tables 1 3. EXCEL FORMULAS & TABLES Winter 2019 Winter 2019 CS130 - Excel Formulas & Tables 2 Cell References Absolute reference - refer to cells by their fixed position.

More information

Monthly Statistical Digest

Monthly Statistical Digest Tucson Association of REALTORS Monthly Statistical Digest July 27 FOR IMMEDIATE RELEASE: August 13, 27 CONTACT: Judy Lowe, President - (52) 529-5189 Rick Hodges, CEO - (52) 327-4218 LETTER FROM THE PRESIDENT

More information

CRIME ANALYSIS SACRAMENTO COUNTY SHERIFF S DEPARTMENT

CRIME ANALYSIS SACRAMENTO COUNTY SHERIFF S DEPARTMENT 27 February 2018 Five Year Uniform Crime Reporting (UCR) Analysis 2013-2017 Page 1 16 SACRAMENTO COUNTY UNIFORM CRIME REPORT 2013-2017 This report provides a five-year analysis of crime trends within the

More information

ASSOCIATION OF CHARTERED CERTIFIED ACCOUNTANTS

ASSOCIATION OF CHARTERED CERTIFIED ACCOUNTANTS E CENT R LI CB E NSE D CE 1 April 2017 31 March 2018 ASSOCIATION OF CHARTERED CERTIFIED ACCOUNTANTS THE BRITISH COUNCIL IN UAE ADMINISTERS COMPUTER BASED EXAMS ON BEHALF OF ACCA www.britishcouncil.ae LIC

More information

CIMA Certificate BA Interactive Timetable

CIMA Certificate BA Interactive Timetable CIMA Certificate BA Interactive Timetable 2018 Nottingham & Leicester Version 3.2 Information last updated 09/03/18 Please note: Information and dates in this timetable are subject to change. Introduction

More information

Midwest ISO Overview - ATC Customer Meeting. February 26, 2009

Midwest ISO Overview - ATC Customer Meeting. February 26, 2009 Midwest ISO Overview - ATC Customer Meeting February 26, 2009 Agenda Overview January 2009 Dashboard Module E RAR Timeline Questions 2 Overview January was characterized by seasonal cold temperatures,

More information

Top 10 Established Communities

Top 10 Established Communities october 211 calgary regional housing market statistics Calgary s Housing Market Set to Outpace 21 Several Calgary Communities Get a Boost in Sales and Price Calgary, November 1, 211 According to figures

More information

NRG 200M Wind Vane Authors:

NRG 200M Wind Vane Authors: NRG 200M Wind Vane Authors: Technical Services CONTENTS INTRODUCTION... 3 SENSOR IDENTIFICATION... 3 POWER REQUIREMENTS... 3 MOUNTING... 4 Install the sensor onto mounting boom:... 4 Note about new NRG

More information

CS Programming I: Arrays

CS Programming I: Arrays CS 200 - Programming I: Arrays Marc Renault Department of Computer Sciences University of Wisconsin Madison Fall 2017 TopHat Sec 3 (PM) Join Code: 719946 TopHat Sec 4 (AM) Join Code: 891624 Array Basics

More information

Multiple Listing Service of Southern Arizona Monthly Statistics November 2017

Multiple Listing Service of Southern Arizona Monthly Statistics November 2017 For Immediate Release: December 6, 7 CONTACT: Henry Zipf MLSSAZ President (5) 4-567 Sean Murphy Executive Vice President (5) 8-879 Randy Rogers CEO, MLSSAZ (5) 7-48 Multiple Listing Service of Southern

More information

RLMYPRINT.COM 30-DAY FREE NO-OBLIGATION TRIAL OF RANDOM LENGTHS MY PRINT.

RLMYPRINT.COM 30-DAY FREE NO-OBLIGATION TRIAL OF RANDOM LENGTHS MY PRINT. My Print ON-DEMAND GRAPHS AND PRICE REPORTS TRY IT FREE FOR 30 DAYS! RLMYPRINT.COM 30-DAY FREE NO-OBLIGATION TRIAL OF RANDOM LENGTHS MY PRINT. Register and immediately begin using the new Web site to create

More information

IAB Internet Advertising Revenue Report

IAB Internet Advertising Revenue Report IAB Internet Advertising Revenue Report Full Year 2017 and Q4 2017 May 10, 2018 IAB Internet Ad Revenue Report: Full Year 2017 and Q4 2017 Agenda Welcome Kristina Sruoginis, Research Director, IAB Full

More information

INFORMATION TECHNOLOGY SPREADSHEETS. Part 1

INFORMATION TECHNOLOGY SPREADSHEETS. Part 1 INFORMATION TECHNOLOGY SPREADSHEETS Part 1 Page: 1 Created by John Martin Exercise Built-In Lists 1. Start Excel Spreadsheet 2. In cell B1 enter Mon 3. In cell C1 enter Tue 4. Select cell C1 5. At the

More information

Calendar PPF Production Cycles Non-Production Activities and Events

Calendar PPF Production Cycles Non-Production Activities and Events 20-207 Calendar PPF Production Cycles Non-Production Activities and Events Four Productions For non-holiday productions 7 Week Stage Cycles 36 Uses plus strike (as in prior years and per agreement with

More information

Characterization and Modeling of Deleted Questions on Stack Overflow

Characterization and Modeling of Deleted Questions on Stack Overflow Characterization and Modeling of Deleted Questions on Stack Overflow Denzil Correa, Ashish Sureka http://correa.in/ February 16, 2014 Denzil Correa, Ashish Sureka (http://correa.in/) ACM WWW-2014 February

More information

TOWN MANAGER S WEEKLY REPORT

TOWN MANAGER S WEEKLY REPORT TOWN MANAGER S WEEKLY REPORT UPCOMING MEETINGS & EVENTS Town Council Meeting: Wednesday, May 10, 7:00 PM, Regular Meeting, Town Hall Planning Commission: Wednesday, May 17, 6:00 PM, Town Hall 1. Public

More information

What future changes are planned to improve the performance and reliability of the Wairarapa Connection?

What future changes are planned to improve the performance and reliability of the Wairarapa Connection? By email 27 February 2017 File Ref: OIAP-7-3039 Shed 39, 2 Fryatt Quay Pipitea, Wellington 6011 PO Box 11646 Manners Street Wellington 6142 T 04 384 5708 F 04 385 6960 www.gw.govt.nz Iain Palmer fyi-request-5300-1f924c94@requests.fyi.org.nz

More information

Standard Wind DPR: Essential Contents

Standard Wind DPR: Essential Contents Standard Wind DPR: Essential Contents [Note: The below provided sections and the sub points indicated in the table have to be mandatorily provided by the Wind Project Developers while submitting the Detailed

More information

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table 16.6.2014 15:45 / 1 Minimum

More information

Sand Pit Utilization

Sand Pit Utilization Sand Pit Utilization A construction company obtains sand, fine gravel, and coarse gravel from three different sand pits. The pits have different average compositions for the three types of raw materials

More information

IAB Internet Advertising Revenue Report

IAB Internet Advertising Revenue Report IAB Internet Advertising Revenue Report Half Year 2018 and Q2 2018 November 2018 IAB Internet Ad Revenue Report: Half Year 2018 and Q2 2018 Agenda Welcome Intro Sue Hogan, SVP Research and Measurement,

More information

Freedom of Information Act 2000 reference number RFI

Freedom of Information Act 2000 reference number RFI P. Norris By email to: xxxxxxxxxxxxxxxxxxxxxx@xxxxxxxxxxxxxx.xxm 02 November 2011 Dear P. Norris Freedom of Information Act 2000 reference number RFI20111218 Thank you for your request under the Freedom

More information

Copyright Executive Summary

Copyright Executive Summary Energy Savings Using Airius Air Pear Destratification and Air Circulation Fans in an HVAC Environment in Temperate and Sub Tropical zones. HAP Software Analysis Engineered by Vahid Vakiloroaya A 18.12.13

More information

Stat 428 Autumn 2006 Homework 2 Solutions

Stat 428 Autumn 2006 Homework 2 Solutions Section 6.3 (5, 8) 6.3.5 Here is the Minitab output for the service time data set. Descriptive Statistics: Service Times Service Times 0 69.35 1.24 67.88 17.59 28.00 61.00 66.00 Variable Q3 Maximum Service

More information

New Jersey Department of Children and Families Focusing on the Fundamentals Annual Update

New Jersey Department of Children and Families Focusing on the Fundamentals Annual Update New Jersey Department of Children and Families Focusing on the Fundamentals 2006 Annual Update In 2006, New Jersey made significant investments in its most vulnerable children & families. Governor Corzine

More information

Schedule/BACnet Schedule

Schedule/BACnet Schedule Object Dictionary 1 Schedule/BACnet Schedule Introduction Note: The Johnson Controls Schedule object is considered a BACnet Schedule object because it supports BACnet functionality. In addition, this object

More information

Sinusoidal Data Worksheet

Sinusoidal Data Worksheet Sinusoidal Data Worksheet West Coast Tidal Analysis: Fill in the following chart for the low tide and high tides per day for the researched two-day period (so four low tides and high tides all inter-distributed)

More information

Annual Ambient Air Quality Monitoring Report 2015

Annual Ambient Air Quality Monitoring Report 2015 ALAMO AREA COUNCIL OF GOVERNMENTS CAMS 501, 502, 503, 504, 505, 506 Prepared by: Jim McCraw Partner Ben White Partner Annual Ambient Air Quality Monitoring Report 2015 Dios Dado Environmental Ltd. 9330

More information

Multi-part functionality in PINES

Multi-part functionality in PINES Monographic parts in PINES In order to allow holds on specific volumes in Evergreen, PINES will implement Monographic parts functionality for print titles. This functionality links volumes in a multi-volume

More information

For personal use only. Update Event & nearmap Solar

For personal use only. Update Event & nearmap Solar Update Event & nearmap Solar Update Event and nearmap Solar Paul Peterson Senior VP Product & Engineering 2 Current Clear Change Current What s on the ground now Clear Unrivalled clarity Change Monitor

More information

MONITORING REPORT ON THE WEBSITE OF THE STATISTICAL SERVICE OF CYPRUS DECEMBER The report is issued by the.

MONITORING REPORT ON THE WEBSITE OF THE STATISTICAL SERVICE OF CYPRUS DECEMBER The report is issued by the. REPUBLIC OF CYPRUS STATISTICAL SERVICE OF CYPRUS MONITORING REPORT ON THE WEBSITE OF THE STATISTICAL SERVICE OF CYPRUS DECEMBER The report is issued by the Monitoring Report STATISTICAL DISSEMINATION AND

More information

Maryland Soybeans: Historical Basis and Price Information

Maryland Soybeans: Historical Basis and Price Information Maryland Soybeans: Historical Basis and Price Information Fact Sheet 496 James C. Hanson Extension Specialist, Department of Agricultural and Resource Economics, University of Maryland Kevin McNew Adjunct

More information

San Francisco Housing Authority (SFHA) Leased Housing Programs October 2015

San Francisco Housing Authority (SFHA) Leased Housing Programs October 2015 San Francisco Housing Authority (SFHA) Leased Housing Programs October 2015 Table of Contents Program Utilization Summary 3 PIC Reporting Rate 4-5 Operational Updates Recertifications and Inspections 6-7

More information

Section 1.2: What is a Function? y = 4x

Section 1.2: What is a Function? y = 4x Section 1.2: What is a Function? y = 4x y is the dependent variable because it depends on what x is. x is the independent variable because any value can be chosen to replace x. Domain: a set of values

More information

Maryland Corn: Historical Basis and Price Information Fact Sheet 495

Maryland Corn: Historical Basis and Price Information Fact Sheet 495 Maryland Corn: Historical Basis and Price Information Fact Sheet 495 Dale M. Johnson, Farm Management Specialist James C. Hanson, Professor and Chair Kevin McNew, Adjunct Professor, Founder and President

More information

Example. Section: PS 709 Examples of Calculations of Reduced Hours of Work Last Revised: February 2017 Last Reviewed: February 2017 Next Review:

Example. Section: PS 709 Examples of Calculations of Reduced Hours of Work Last Revised: February 2017 Last Reviewed: February 2017 Next Review: Following are three examples of calculations for MCP employees (undefined hours of work) and three examples for MCP office employees. Examples use the data from the table below. For your calculations use

More information

Experimental and Computational Investigation of Flow Distortion Around a Tubular Meteorological Mast

Experimental and Computational Investigation of Flow Distortion Around a Tubular Meteorological Mast CanWEA Conference Toronto, Ontario October 2005 Experimental and Computational Investigation of Flow Distortion Around a Tubular Meteorological Mast Matthew Filippelli - Pawel Mackiewicz mfilippelli@awstruewind.com

More information

TOSHIBA. Semiconductor company Ref. : H Asia Pacific Satelite Industries TO : APPROVAL SHEET FOR TC7SH04FU(T5L,JF,T.

TOSHIBA. Semiconductor company Ref. : H Asia Pacific Satelite Industries TO : APPROVAL SHEET FOR TC7SH04FU(T5L,JF,T. Date : 18 July'06 Semiconductor company Ref. : H06183007 TO : Asia Pacific Satelite Industries APPROVAL SHEET FOR TC7SH04FU(T5L,JF,T Contents : 1. Specification Data 2. General Specification 3. Marking

More information

User Guide for the WegenerNet Data Portal

User Guide for the WegenerNet Data Portal User Guide for the WegenerNet Data Portal (v9/18feb2010) The WegenerNet Data Portal provides access to measurement data from the climate stations as well as detailed information about the project. Quality-checked

More information

Avira Test Results 2013

Avira Test Results 2013 Avira s anti-malware solutions received numerous awards and certifications this year. VIRUS BULLETIN: As evidence of sustained good performance, Avira received a VB100 award for every test it participated

More information

Maryland Corn: Historical Basis and Price Information Fact Sheet 495

Maryland Corn: Historical Basis and Price Information Fact Sheet 495 Maryland Corn: Historical Basis and Price Information Fact Sheet 495 James C. Hanson, Extension Specialist Department of Agricultural and Resource Economics, University of Maryland Kevin McNew, Adjunct

More information

Martin Purvis CEO. Presentation following the AGM. 26 April 2012

Martin Purvis CEO. Presentation following the AGM. 26 April 2012 Martin Purvis CEO Presentation following the AGM 26 April 212 IMPORTANT NOTICE Nothing in this presentation constitutes an offer of securities for sale. This presentation contains certain forward-looking

More information

WHOIS Accuracy Reporting System (ARS): Phase 2 Cycle 1 Results Webinar 12 January ICANN GDD Operations NORC at the University of Chicago

WHOIS Accuracy Reporting System (ARS): Phase 2 Cycle 1 Results Webinar 12 January ICANN GDD Operations NORC at the University of Chicago WHOIS Accuracy Reporting System (ARS): Phase 2 Cycle 1 Results Webinar 12 January 2016 ICANN GDD Operations NORC at the University of Chicago Webinar Agenda 1 2 3 WHOIS ARS Background Phase 2 Cycle 1:

More information

All King County Summary Report

All King County Summary Report September, 2016 MTD MARKET UPDATE Data Current Through: September, 2016 18,000 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0 Active, Pending, & Months Supply of Inventory 15,438 14,537 6.6 6.7

More information

Regional Group Nordic GRID DISTURBANCE AND FAULT STATISTICS

Regional Group Nordic GRID DISTURBANCE AND FAULT STATISTICS Regional Group Nordic GRID DISTURBANCE AND FAULT STATISTICS Table contents Table contents Page 1 INTRODUCTION... 4 1.1 Contact persons... 5 1.2 Guidelines the statistics... 5 1.3 Voltage levels in the

More information

REPORT ON TELECOMMUNICATIONS SERVICE QUALITY WINDSTREAM FLORIDA, INC.

REPORT ON TELECOMMUNICATIONS SERVICE QUALITY WINDSTREAM FLORIDA, INC. REPORT ON TELECOMMUNICATIONS SERVICE QUALITY For WINDSTREAM FLORIDA, INC. Alachua, Brooker, High Springs, Melrose, and Waldo s February 4 March 14, 2008 Division of Service, Safety & Consumer Assistance

More information

FCC Form 555 Annual Lifeline Eligible Telecommunications Carrier Certification Form Case No T-GI

FCC Form 555 Annual Lifeline Eligible Telecommunications Carrier Certification Form Case No T-GI W Ms. ngrid Ferrell,,Executive Secretary Public Service Commission of WV 21 Brooks Street Charleston, WV 25323 ONE ARMSTRONG PLACE BUTLER, PA 161 724-283-925 January 29,21 8 Re: FCC Form 555 Annual Lifeline

More information

Automated Data Quality Assurance for Marine Observations

Automated Data Quality Assurance for Marine Observations Automated Data Quality Assurance for Marine Observations James V. Koziana Science Applications International Corporation (SAIC) Hampton, VA 23666 USA Third Meeting of GCOOS DMAC Renaissance Orlando Hotel

More information

Multiple Listing Service of Southern Arizona Monthly Statistics December 2018

Multiple Listing Service of Southern Arizona Monthly Statistics December 2018 For Immediate Release: January, 9 CONTACT: Cheryl Terpening MLSSAZ President (5) 97-7 Sean Murphy Executive Vice President (5) -79 Randy Rogers CEO, MLSSAZ (5) 7- Multiple Listing Service of Southern Arizona

More information

San Joaquin County Emergency Medical Services Agency

San Joaquin County Emergency Medical Services Agency San Joaquin County Emergency Medical Services Agency http://www.sjgov.org/ems Memorandum TO: All Interested Parties FROM: Rick Jones, EMS Analyst DATE: January, 19 Mailing Address PO Box French Camp, CA

More information

Monthly SEO Report. Example Client 16 November 2012 Scott Lawson. Date. Prepared by

Monthly SEO Report. Example Client 16 November 2012 Scott Lawson. Date. Prepared by Date Monthly SEO Report Prepared by Example Client 16 November 212 Scott Lawson Contents Thanks for using TrackPal s automated SEO and Analytics reporting template. Below is a brief explanation of the

More information

PRESSURE TRANSDUCER K611P-B

PRESSURE TRANSDUCER K611P-B PRESSURE TRANSDUCER K611P-B Certified in Brazil by: ORDER - Nº PRESSURE RANGE ELECTRICAL SUPPLY MODEL IN EOL MANAGER K611P-B 600-1100 mbar 5 VDC K611P APPLICATION The K611P-B pressure sensor is a robust

More information

Scheduling. Scheduling Tasks At Creation Time CHAPTER

Scheduling. Scheduling Tasks At Creation Time CHAPTER CHAPTER 13 This chapter explains the scheduling choices available when creating tasks and when scheduling tasks that have already been created. Tasks At Creation Time The tasks that have the scheduling

More information

July 30, Q2 Quarterly Report on Progress in Processing Interconnection Requests; Docket No. ER

July 30, Q2 Quarterly Report on Progress in Processing Interconnection Requests; Docket No. ER California Independent System Operator Corporation The Honorable Kimberly D. Bose Secretary Federal Energy Regulatory Commission 888 First Street, N.E. Washington, D.C. 20426 July 30, 2010 Re: Q2 Quarterly

More information

Spiegel Research 3.0 The Mobile App Story

Spiegel Research 3.0 The Mobile App Story Spiegel Research 3.0 The Mobile App Story The effects of adopting and using a brand s mobile application on purchase behaviors SU JUNG KIM THE PROJECT Smartphone penetration in the U.S. has reached 68

More information

MONITORING THE REPEATABILITY AND REPRODUCIBILTY OF A NATURAL GAS CALIBRATION FACILITY

MONITORING THE REPEATABILITY AND REPRODUCIBILTY OF A NATURAL GAS CALIBRATION FACILITY MONITORING THE REPEATABILITY AND REPRODUCIBILTY OF A NATURAL GAS CALIBRATION FACILITY T.M. Kegel and W.R. Johansen Colorado Engineering Experiment Station, Inc. (CEESI) 54043 WCR 37, Nunn, CO, 80648 USA

More information

ARKANSAS HIGH COST FUND 2013 CARRIER REVENUE REPORT& SELF INVOICE INSTRUCTIONS

ARKANSAS HIGH COST FUND 2013 CARRIER REVENUE REPORT& SELF INVOICE INSTRUCTIONS For questions or assistance with these instructions, contact Rural Telcom Solutions, LLC via Email at: ruraltelcom@ruraltelcom.com, or by mail at: ARHCF P.O. Box 608 Danville, AR 72833 I. Filing Requirements

More information

CONTRACT SUMMARY SHEET

CONTRACT SUMMARY SHEET CONTRACT SUMMARY SHEET TO: THE OFFICE OF THE CITY CLERK, COUNCIL/PUBLIC SERVICES DIVISION ROOM 395, CITY HALL September 9, 2016 (PLEASE DO NOT STAPLE THE CONTRACT FOR THE CLERK S FILE) FORM MUST BE TYPEWRITTEN

More information

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary September, 2016 MTD MARKET UPDATE Data Current Through: September, 2016 (NWMLS Areas: 140, 380, 385, 390,, 701, 705, 710) Summary Active, Pending, & Months Supply of Inventory 5,000 4,500 4,000 3,500 4,091

More information

Field data requirements for the validation of PV module performance models

Field data requirements for the validation of PV module performance models Field data requirements for the validation of PV module performance models Dipl phys. Gabi Friesen 4th PV Performance Modelling and Monitoring Workshop OUTLINE Introduction Test issues and requirements

More information

TOWN MANAGER S WEEKLY REPORT

TOWN MANAGER S WEEKLY REPORT TOWN MANAGER S WEEKLY REPORT UPCOMING MEETINGS & EVENTS Planning Commission Meeting: Wednesday, February 15, 6:00 PM, Town Hall 1. Shops of College Park Retail and Hotel 2. VA Clinic Additional Signage

More information

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary October, 2016 MTD MARKET UPDATE Data Current Through: October, 2016 (NWMLS Areas: 140, 380, 385, 390,, 701, 705, 710) Summary Active, Pending, & Months Supply of Inventory 4,500 4,000 3,500 4,197 4,128

More information

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary

Seattle (NWMLS Areas: 140, 380, 385, 390, 700, 701, 705, 710) Summary November, 2016 MTD MARKET UPDATE Data Current Through: November, 2016 (NWMLS Areas: 140, 380, 385, 390,, 701, 705, 710) Summary 4,000 3,500 3,000 2,500 2,000 1,500 1,000 500 0 Active, Pending, & Months

More information

November 2016 G. Oscar Anderson, Senior Research Advisor AARP Research

November 2016 G. Oscar Anderson, Senior Research Advisor AARP Research November 2016 G. Oscar Anderson, Senior Research Advisor AARP Research https://doi.org/10.26419/res.00140.001 AARP is a nonprofit, nonpartisan organization, with a membership of nearly 38 million that

More information

Maryland Corn: Historical Basis and Price Information

Maryland Corn: Historical Basis and Price Information Maryland Corn: Historical Basis and Price Information The local basis, defined as the cash price minus futures price, reflects important information about regional supply and demand for a commodity. Corn

More information

Published: December 15, 2016 Revised: December 15, 2016

Published: December 15, 2016 Revised: December 15, 2016 Market Participant Guide: SPP 2017 Congestion Hedging Published: December 15, 2016 Revised: December 15, 2016 Revision History Chart Version Revised By Description of Modifications Revision Date 1.0 Congestion

More information

Quantitative Vulnerability Assessment of Systems Software

Quantitative Vulnerability Assessment of Systems Software Quantitative Vulnerability Assessment of Systems Software Omar H. Alhazmi Yashwant K. Malaiya Colorado State University Motivation Vulnerabilities: defect which enables an attacker to bypass security measures

More information

Infectious Diseases Media Kit. The Journal of. Advertising & Sales Contacts. Useful Information. jid.oxfordjournals.org

Infectious Diseases Media Kit. The Journal of. Advertising & Sales Contacts. Useful Information. jid.oxfordjournals.org 2013 Media Kit Advertising & Sales Contacts Naomi Reeves Advertising Sales Manager t: +44 (0) 1865 355396 e: naomi.reeves@oup.com For reprints, supplements or tailored products: e: corporate.services@oup.com

More information

Japan s Measures against Spam

Japan s Measures against Spam June 22, 2, 2006 Japan s Measures against Spam Yoshichika Imaizumi Telecommunications Bureau, Ministry of Internal Affairs and Communications (MIC), Japan Characteristics of spam in Japan 1.. Media 2004

More information

Published: December 15, 2017 Revised: December 15, 2017

Published: December 15, 2017 Revised: December 15, 2017 Market Participant Guide: SPP 2018 Congestion Hedging Published: December 15, 2017 Revised: December 15, 2017 Revision History Chart Version Revised By Description of Modifications Revision Date 1.0 Congestion

More information