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Air Quality Consulting / Management
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Chromatography and Wet Methods
Coating and Ink Analysis
ESP Modeling
Flue Gas Desulfurization System Sample Analyses
Flyash Analysis
Gravimetric Analysis
Inorganic Analysis
Organic Analysis
Particle Characterization
Resistivity Analysis
Resistivity and Particle Size Introduction
Function of Temperature
Fig. 1: Temp. vs. Resistivity
Resistivity in Simulated Flue Gas
Table 1: Coal and Ash Chemistry
Fig. 2: Resistivity vs. Electric Field
Fig. 3: Resistivity Model
Particle Size Distribution
Fig. 4: Bahco Particle Size
Greenhouse Gas Management
Mercury Monitoring
Performance / Efficiency
Performance Test Instrumentation Support
Stack / Source Emissions Testing

 

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Particle Characterization

Laboratory Resistivity Determination and Prediction

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Ash mineral analysis and loss-on-ignition (LOI)

$395/sample

Short proximate, ultimate coal analysis

$240/sample

Soluble sulfate analysis on ash

$50/sample

Computer Model ESP Performance, Scanning electron microscopy (SEM), x-ray diffraction, designed resistivity tests, and consultation work Priced according to scope and complexity

Particle Size Analysis

Bahco Centrifugal Classifier, with density correction (1-30 micrometers)

$425/sample

Sieve analysis (greater than 30 micrometers)

$135/sample

Graseby-Andersen Mark III cascade impactor (in-stack analysis)

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Particle Characterization Laboratory
Particulate characterization is one of our specialties. Our particle characterization laboratory is located in Palatine, Illinois and performs flyash resistivity and particle size distribution analysis. A combination of laboratory data and computer modeling is used to optimize the flyash collection efficiency of electrostatic precipitators (ESP) and to predict the ESP performance over a wide range of flue gas conditions, such as varying temperatures and SO3 concentrations.

The laboratory routinely performs the following:

  • Coal-switching studies that evaluate the resistivity of select coals and blends to predict ESP collection performance
  • Studies of the effect of flue gas conditioning to improve ESP collection
  • Increasing the generating output of units derated due to opacity
  • ESP design/optimization consulting

Computer Model ESP Performance Predictions
Particle collection performance of an electrostatic precipitator is predicted using customer-supplied precipitator mechanical and electrical data as well as coal and fly ash compositional data. The model is described in EPA-600/7-84-069 a&b and is commonly referred to as the EPA/SRI computer model. In addition to modeling the existing precipitator performance, the effects of various changes (such as coal switching and gas conditioning) can be predicted. Priced according to scope and complexity.

Learn more about Resistivity and Particle Size Analysis

 

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500 W. Wood Street
Palatine, IL 60067, USA
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