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The Ammonit Data Logger
Series 32
Overview of the data loggers - Data storage - Standards of the series 32 -
Software CALLaLOG02 - 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 you receive has already proved it can cope with the worst of operating conditions. 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, but 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
WICOM-32
METEO-32
METEO-32X
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-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version 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. Data storage
The available memory of the Data Loggers is divided into: Ring memory
Measurement series memory,
Wind statistics memory and
Slow Motion Recorder [SMR]
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 memories are organised as ring memories. When the memory is full, the 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 again as required. Data is only deleted when space is required in the memory for the current measurements. Successive 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
Internal Clock
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.). 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 call "gentle time control", Ammonit Data ("gusting"), as well as over very long periods (e.g. seasonal changes). A Loggers now operate with an accuracy series of standard methods have been developed for wind energy users of < 25ppm over the temperature range to characterise local wind regimes with only a few statistical values and The frequency distribution of wind speed is produced for two anemometers with 29 classes x 1 m/s, allowing even locations with strong winds to be 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 frequencies a correspondingly longer period will be covered. 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
Statistics
height of the hub of the wind turbine. It can be represented by provide a quick overview of relevant wind energy data, without the need for 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-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version can only allow for the regional variations of a site to a limited extent. Free download here
The Weibull function
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. 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 stages: Conversion to hub height
The chart shows an example of the frequency distribution of wind speed 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 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
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. The roughness length represents the height at which the wind speed is slowed down to zero by the nature of terrain. 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 < 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-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version 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 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 Software CALLaLOG2002
The "CALLaLOG2002" program can be used to configure, monitor and control the data transfer of any number of measuring stations via modem or cable. A number of loggers can be grouped in individual projects, each with their own interface and a separate access time. In this way, all the projects, with any number of measuring systems can be monitored quickly and efficiently.
Technical Data

Data Logger
Series 32
file://G:\instruments\3-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version WICOM-32
METEO-32
METEO-32X
Input channels
1 x Rain 4 x 12-bit-ADC 2 x 16-bit Counter 2 x Status screwed miniature round-socket, Binder series 723 Power Supply
2 alkaline batteries (9V E-Block - 6LR61 - PP3), optional lithium batteries input 12 VDC 10.24 Volt (connector supplied) approx.: 0,5 mA (between the measurements), 45 mA (measuring) Temperature
- 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: < 25ppm 3V lithium button cells CR2032, approx. 180.230mAh Digital output
Open-Drain, 12 . 24VDC, approx. 20mA, e.g. can switch on or off a sensor heating via relay (also via SMS) Data output
Display: 2 x 16 character double spaced, RS232 serial: 38.400 baud, E71 ASCII Series measurements
- Scan interval
Ring memory, subdivided in daily data blocks Average, maximum, minimum, standard deviation Statistics
Shift register, subdivided in 4 statistic blocks 29 classes ±1 m/s wind speed distribution (in 2 heights) 36 sector wind rose with unique distributions (anemometer 1) Included delivery
User’s manual, Batteries, Drying agent, PC-cable, 3 pin plug (ext. supply), CALLaLOG2002 Software. Recomended sensors
P6100(H), P6171, P6140, P6160 (mit Adapter P9112) top__________
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Copyright 2006 Ammonit Gesellschaft für Messtechnik mbH Wrangelstraße 100 D-10997 Berlin file://G:\instruments\3-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version Tel: +49 (0)30 600 31 88-0 Fax:+49 (0)30 600 31 88-10 E-mail: 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-RSW\Ammonit data logger 32 series.htm PDF created with FinePrint pdfFactory Pro trial version

Source: http://www.nerc.gov.jo/wind/instruments/3-RSW/Ammonit%20data%20logger%2032%20series.pdf

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