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The Ammonit Data Logger Series 32

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1. The roughness length represents the height at which the wind speed is slowed down to zero by the nature of terrain A top The standards of the Series 32 1 Recording measurement series at freely programmable intervals 2 Producing wind statistics for energy predictions 3 Slow motion Recording SMR of wind data for special events 4 Three buttons and a two line display for easy use 5 Designed for use over a temperature range from 40 C to 85 C 6 Low Power electronics and standby operation 7 Internal clock accurate to lt 25 ppm over the entire temperature range max deviation approx 1 minute month 8 Powered by standard 9V block battery lithium type optional 9 Socket for external power supply 10 26 V DC file G instruments 3 RS W Ammonit data lo per 32 series htm 2008 10 09 PDF created with FinePrint pdfFactory Pro trial ve sion http Awww pdffactory com The Ammonit Data Logger Series 32 Page 4 of 6 10 Separate power supply for wind sensors with trip switch 11 GSM option for data transfer and e mail SMS 12 Remote control and data transmission through the World Wide Web 13 Internal monitor of power source and internal temperature 14 Plausibility control of measurement values 15 Generation of warnings GSM option 16 1000 KB memory approx 500 000 measurements 17 Update of user software via serial interface and GSM 18 RS232 interface for data transfer 38400 baud 19 Data compression
2. The frequency distribution of wind speed is produced map for two anemometers with 29 classes x 1 m s IB aaa etnan parE ia Fommet Eger D r T ARE allowing even locations with strong winds to be JE analysed fully The wind rose shows the distribution of the direction of the wind in 36 sectors allowing a detailed investigation of energy distribution which is essential when planning a wind farm Slow Motion Recorder SMR The Ammonit Data Loggers can also be used to record wind data in detail over a specified period Following a programmed event for example a wind speed measurement that exceeds a pre determined threshold value the data registered at the measurement intervals from the wind input goes directly to a separate memory A total of 180 measurement lines can be recorded This is equivalent to a total period of 3 minutes for a 1 Graphic presentation of a measurement series at 30m and 18m with MS second measurement interval and at lower mails frequencies a correspondingly longer period will be covered A top Statistics for energy predictions The basis for the prediction of wind energy yields is the determination of the longterm relative frequency distribution of the wind speed at the height of the hub of the wind turbine It can be represented by Statistics provide a quick overview of relevant wind energy data without the need for expensive software Ammonit statistics are compatible among others with
3. ALWIN evaluation software The Rayleigh Function If only the mean value of the wind speed is known for a location then this function can be used to calculate the probable variations around this value However the Rayleigh distribution has a fixed form and file G instruments 3 RS W Ammonit data lo per 32 series htm 2008 10 09 PDF created with FinePrint pdfFactory Pro trial ve sion http Awww pdffactory com The Ammonit Data Logger Series 32 Page 3 of 6 in only allow for the regional variations of a site to a limited extent Free download here The Weibull function In order to calculate the Weibull Sm distribution two parameters are required The scaling factor A and the form parameter C This function describes the wind situation more accurately than the Rayleigh Function because the shape of the distribution can be taken into account Page 2 am Wicom Demeo Tampir 80 C Hie of Agaa H days HAAA amp Torir Classification of measurement data This method is used to bring measurement data into a standard form reduced to the necessary minimum The measured data has to be corrected in two oo 10 stages Mi ceaveremers Rayleigh Vema G0 ms Wibal ae GOD a em 227 i z produced using ALWIN evaluation freeware Since the wind measurements are invariably measured at heights much lower than that of the hub of the wind generator it is necessary to convert the values to the necessary height To do
4. series htm 2008 10 09 PDF seated with FinePrint pdfFactory Pro trial v Psion http www pdffactory com PDF created with FinePrint pdfFactory Pro trial v The Ammonit Data Logger Series 32 Page 5 of 6 P2520 METEO 32X Input channels 3 x Wind speed 3 x Wind speed 3 x Wind speed 2 x Wind direction 2 x Wind direction 2 x Wind direction 1 x Rel air humidity 1 x Rel air humidity 1 x Air temperature 1 x Air temperature 1 x Air pressure 1 x Air pressure 1 x Global radiation 1 x Global radiation 1 x Rain 1 x Rain 4 x 12 bit ADC 2 x 16 bit Counter 2 x Status Housing Protection IP65 connectors IP67 closed Dimensions 120mm x 200mm x 75mm Weight approx 1 2 kg incl batteries Connectors screwed miniature round socket Binder series 723 Power Supply Operation 2 alkaline batteries 9V E Block 6LR61 PP3 optional lithium batteries External input 12 VDC 10 24 Volt connector supplied Current approx 0 5 mA between the measurements 45 mA measuring Temperature Operation 40 C 85 C Display readable 10 C 50 C Before being delivered to the customer each appliance must pass a 24 hour test at temperatures from 30 to 60 C 1000 KByte non volatile memory EEPROM recorded 500 000 values Buffered real time clock error at 30 C 60 C lt 25ppm Backup battery 3V lithium button cells CR2032 approx 180 230mAh Open Drain 12 24VDC approx 20mA e g can s
5. this the first step is to determine the roughness length at the location where necessary allowing for the differences in the terrain in various directions Tables are available for the roughness length which provide approximate guideline values on the basis of descriptions of the terrain However it is better to conduct careful measurements of the wind speeds at two heights The roughness length represents the height at which the wind speed is slowed down to zero by the nature of terrain Comparisons with long term data Data must be recorded for at least one complete year in order to take seasonal variations into account This data covering one year must then always be compared with long term data because the wind speed for a year can vary by up to 20 from the long term mean These comparative datasets which are needed for the corrections can often be obtained from weather stations in the neighbourhood from airports or from wind generators already installed in the area The key is the continuity of measurements e g no discontinuities due to moving the mast and the similarity of the topography in the locations Roughness length Type of terrain in metres 0 4 Built up areas with trees and numerous hedges Farm land with some buildings and high wind breaks Open ground with individual widely spaced obstacles Surface waters flat open ground e g airport runways mown fields etc Definitions based on the European Wind Atlas
6. The Ammonit Data Logger Series 32 Page of 6 back to summary ham The Ammonit Data Logger Series 32 Overview of the data loggers Data storage Standards of the series 32 Software CALLaLOGO2 Technical Data Trademarks Before delivery to our customers every Ammonit Data Logger goes through a rigorous testing programme at temperatures ranging from 30 C to 60 C The logger Ammonit offers reliable userfriendly measuring equipment for all essential climate data The focus is primarily on environmental protection and regenerative energy technologies The new Data Loggers of the Series 32 offer much more than earlier models including direct connections for ultrasonic sensors All measuring stations are designed for long term autonomous operation and are able to withstand weather influences such as extreme temperature fluctuations and high humidity The low power consumption of the Data Logger and the selected sensors make it possible to operate without any main power supply using batteries or solar panels The wide range of accessories make it possible to provide simple system solutions even for very difficult locations All Ammonit measuring systems are enclosed in IP65 protective housings and bear the CE mark of the European Commission As an extra precaution the Data Logger should be installed in a lockable and well earthed metal cabinet which not only provides better protection against weather and lightning b
7. ccessive read outs overlap and so the data can easily be analysed without any gaps Measurement series The Data Logger produces measurement series by registering the readings for the individual parameters at selected intervals ranging from 1 second to 1 day If required mean values maxima and minima and also standard deviations can be registered The dataset for one day is collected in a block which can be read out individually The measurement series can transferred to a PC via a Serial interface in the form of a text file which means that they can easily be edited and processed using standard software e g MS Excel etc Internal Clock Without a precise clock accurate registration of date series is not possible But electronic clocks are temperature dependent At 20 C the deviation is already 75ppm or 3 minutes per month Ammonit is not satisfied with simple quartz timers Using a system that we call gentle time control Ammonit Data Loggers now operate with an accuracy of lt 25ppm over the temperature range from 30 C to 60 C Wind statistics for energy predictions Input parameters such as wind speed and wind directions are very dynamic They can change in characteristic ways in the short term gusting as well as over very long periods e g seasonal changes A series of standard methods have been developed for wind energy users to characterise local wind regimes with only a few statistical values and tables
8. il info ammonit de While Ammonit provides the information in this text in good faith it in no way accepts liability for any errors or omissions or for damages that may arise from the use of the information in this text or from conclusions drawn from it Trademarks file G instruments 3 RS W Ammonit data lo per 32 series htm 2008 10 09 PDF created with FinePrint pdfFactory Pro trial ve sion http Awww pdffactory com
9. onit data logger 32 series htm 2008 10 09 PDF created with FinePrint pdfFactory Pro trial v rsion http Awww pditactory com The Ammonit Data Logger Series 32 Page 2 of 6 The METEO 32X data logger is developed for meteorological measurements It registers all the relevant data needed for detailed weather observations Wind speeds at 3 heights wind direction at 2 heights as well as temperature relative humidity atmospheric pressure solar radiation and precipitation and offers eight additional free channels for other applications A top_ Data storage The available memory of the Data Loggers is divided into P Ring memory Measurement series memory All Ammonit Data Loggers have a non Wind statistics memory and volatile 4 MB ring memory This means Slow Motion Recorder SMR No loss of data in the event of a power loss The data sets for the measurements and wind statistics are structured in blocks One block in the measurement series memory for example contains all the values for one day in sequence Both individual Memory for 500 000 memories are organised as ring memories When the memory is full the measurements oldest block is then written over This means that datasets remain in the memory even after they have been read out and can be accessed No need to bother with again as required Data is only deleted when space is required in the deleting data to free up memory memory for the current measurements Su
10. to accelerate data transfer up to 30 20 RS485 interface e g for connecting ultrasonic anemometers 21 User friendly software for Multi Logger Management with graphical user interface A top Software CALLaLOG2002 erica ORS i e The CALLaLOG2002 program can be used ac paid GP rierpraect GJ nv tite Ager Gl renee ei 4 Abst to configure monitor and control the data GB Custcrer Bervice cate Sarien GJ rieri Spat B sae tee D aiara k transfer of any number of measuring stations Eset Epain aE Ee A N a via modem or cable A number of loggers can m a a be grouped in individual projects each with Ca ni Saaai a ike their own interface and a separate access say H i EZ Copio ck Legge dete fiie LADS Matia time In this way all the projects with any nitet o o ui number of measuring systems can be Ege Network Portugal a monitored quickly and efficiently eh Meteor Brail Le ne APSE SA ee Eee E _ EE Frielses E ip Pa Teo IF Eo Stern bers arka n e SFO DET anal fal vetwork Germany Sekai whe tw deeming A Dre tenes rte WB corset Tira teks T ipy E aahh tte Sohenber oi E Stewie Zand Ep cnttsrere pilactorn OHE Lent Pee a E Sint eer Sante Tet Lange e Soon Tun or ayo She Logger Wariri doa Tirana flere CS ra Lil ee Ba Sa aa a ira lo a Eren hala 4 ra lth A eS A top Technical Data Data Logger Series 32 file G instruments 3 RS W Ammonit data logger 32
11. ut also protects against theft and vandalism Ammonit has developed strong steel cabinets for this purpose which are also able to house additional components As well as providing ideal protection they ensure easy installation of the equipment on site The Data Loggers of the Series 32 are flexible and can be used for a wide range of applications The measurement processing and data reliability meet the requirements of professional experts but at the same time they are so simple that even beginners can use the Data Logger successfully The WICOM 32 METEO 32 and METEO 32X loggers only differ in the number of input channels they have In addition to storing measurements and statistics Ammonit Data Loggers also have a Slow Motion Recorder SMR Overview of the data loggers C coms meroa meroa e T E pne Oo oo e S a WICOM 32 The wind computer WICOM 32 is a data logger developed specially for wind energy applications It registers the wind speed at three heights and the wind direction at two heights essential for the precise investigation of a potential site and for energy predictions METEO 32 The METEO 32 data logger is a further development of the WICOM 32 It registers all relevant data for detailed weather observations Wind speed at 3 heights wind direction at 2 heights as well as temperature relative humidity atmospheric pressure solar radiation and precipitation METEO 32X file G instruments 3 RS W Amm
12. witch on or off a sensor heating via relay also via SMS Series measurements Scan interval 1 60 seconds Log interval 1 9999 scan intervals Configuration Ring memory subdivided in daily data blocks Functions Average maximum minimum standard deviation Statistics Scan interval 1 minute Log interval Monthly according to real time calendar Configuration Shift register subdivided in 4 statistic blocks Evaluation 29 classes 1 m s wind speed distribution in 2 heights 36 sector wind rose with unique distributions anemometer 1 SMR Scan interval 1 60 seconds Memory capacity 180 Measurement lines Configuration separatel non volatile memory Included delivery User s manual Batteries Drying agent PC cable 3 pin plug ext supply CALLaLOG2002 Software Recomended sensors Wind speed P6100 H P6171 P6140 P6160 P6100 H P6171 P6140 P6160 mit Adapter P9112 mit Adapter P9112 Wind direction P6200 H P6230 P6200 H P6230 H P6240 P6245 H P6240 P6245 Temperature P6471 Temp Humidity P6831 Air pressure P6520 P6542 Precipitation P6720 P6721 A top l back to summary Copyright 2006 Ammonit Gesellschaft fur Messtechnik mbH Wrangelstrae 100 D 10997 Berlin file G instruments 3 RSW Ammonit data logger 32 series inn si E ETEA 2008 10 09 The Ammonit Data Logger Series 32 Page 6 of 6 Tel 49 0 30 600 31 88 0 Fax 49 0 30 600 31 88 10 E ma

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