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Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
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Trace Element Mass Flow Rates from U.S. Coal Fired Power Plants.

Xiaodi Sun1, Daniel B Gingerich2,3, Inês L Azevedo1,4

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Environmental Science & Technology
|May 11, 2019
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Summary
This summary is machine-generated.

This study presents a mass balance model to estimate trace element (TE) flows from coal-fired power plants (CFPPs). The model provides first-order estimates but generally overestimates TE masses, highlighting data quality needs for accuracy.

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Area of Science:

  • Environmental Science
  • Chemical Engineering
  • Earth Science

Background:

  • Coal-fired power plants (CFPPs) release trace elements (TEs) through solid, liquid, and gaseous waste.
  • Accurate estimation of TE concentrations in waste streams is crucial for effective pollution control and emission reduction strategies.

Purpose of the Study:

  • To introduce a generalizable mass balance model for estimating TE mass flow rates in CFPP waste streams.
  • To evaluate the model's accuracy for the U.S. coal fleet under current data limitations.

Main Methods:

  • A stochastic, bootstrapping approach was used to estimate plant-level mass flow rates for Hg, Se, As, and Cl in 2015.
  • Combined publicly available data on coal TE concentrations with estimated TE partitioning in air pollution control processes.

Main Results:

  • The model generally overestimates TE masses by 30-50% compared to measured data, with higher errors for mercury (Hg).
  • Partitioning estimates showed consistency for Se, As, and Cl removal from flue gas.
  • The model tended to underestimate mercury removal efficiency.

Conclusions:

  • The developed model serves as a valuable tool for first-order estimates of TE mass flows from CFPPs.
  • Future improvements require enhanced data collection on TE concentrations within the coal blend, which is currently a data quality weakness.