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Detection method of ash and sulfur content of burning coal

In the process of burning coal, the formed ash rich in sulfur and phosphorous will stick to the furnace wall, resulting in a decrease in heating performance
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At the same time, high sulfur ash will cause corrosion of the furnace wall
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Using Vanta handheld XRF analyzer can quickly estimate the ash-forming substances in coal, and can directly detect coal raw materials, without additional sample preparation, quickly and accurately evaluate coal:

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  Ash content (ash yield)

  
  


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  Sulfur content

  
  

Using this information, the power plant can complete the following tasks:

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  Reduce the frequency of plant shutdowns by formulating a more appropriate coal blending strategy

  
  


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  Improve production efficiency by planning maintenance work in advance, because engineers can use the composition data of incoming coal to predict when shutdowns and maintenance are needed

  
  


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  Vanta analyzer automatically calculates the content of ash material, so users can quickly estimate the ash production of coal in near real-time

  
  

  
  

  
  

Olympus XRF analyzer can detect the combination of light elements (Mg + Al + Si + P + S + Ti + K + Ca + Fe) and accurately assess the ash content (ash yield)
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Data provided by BEES UNSW University: ACARP project number C24025
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There is a good correlation between the sulfur content measured by the handheld XRF (X-axis) and the value of the standard sample (Y-axis)
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Advantages of Vanta XRF Analyzer

The power plant may be in a hot and dusty environment
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The Olympus Vanta XRF analyzer can work normally in harsh working environments.
Its characteristics are as follows:

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  Can work continuously in an environment with a temperature of up to 50ºC

  
  


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  Meets IP55/IP54 rating standards, can resist dirt, dust and rain

  
  


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  The fuselage structure is sturdy and durable, and has passed the 4-foot drop test (MIL‑STD-810G), which can prevent damage to the instrument

  
  


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  Use Olympus Science Cloud to realize cloud data storage and view data remotely in real time

  
  

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