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The exact determination of the water content of biomass with a suitable wood chip moisture meter guarantees fair billing for producers, dealers and end consumers. Since the water content of wood chips determines their calorific value, quick and easy measurement is essential. This quality control avoids problems in the plant and fixes the price for the wood chips without water.
Range:
The measuring device is used successfully by providers and operators of biomass heating systems to measure wood chips and chips.
With the humimeter BLL Moisture meter, the water content of wood chips can be determined effortlessly and in a matter of seconds. The measured values are saved immediately and optionally printed out on an external printer or transferred to a PC. The lance is permanently mounted on the device, so that easy handling is guaranteed.
The following requirements are met:
Measuring range | 10 to 50% water content (depending on material) (represents 100% wood moisture) |
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Resolution | 0,5% water content |
Calibration accuracy to reference material | +/- 2,5% |
Temperature compensation | Automatically |
Temperature range for measuring | 0 to + 40 °C |
Temperature measuring range | -10 to +80 °C |
Measurement result | Within seconds without sample preparation |
Memory function | Hold function, datalog for 10.000 logs with measuring point report |
Dimensions | 1155 x 75 x 45 mm (without handle bar) |
Weight | 830 g (with batteries) |
Power Supply | 4 x 1,5 Volt AA Alkaline batteries |
Menu languages | English, German, French, Italian, Spanish, Portuguese, Czech, Polish, Russian, International |
The entire measurement process is completed in a few seconds!
humimeter BLL Switch on the wood chip moisture meter and select the correct characteristic. Insert the moisture meter straight into the wood chips, point first. The water content can be read off the display immediately or saved if desired. Many measurements can be carried out one after the other in a very short time. That humimeter From this, BLL automatically and quickly calculates the average value.