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Process parameter estimation in controlling emission of a non-particulate pollutant into the air

  • US 7,860,586 B2
  • Filed: 12/06/2004
  • Issued: 12/28/2010
  • Est. Priority Date: 08/27/2004
  • Status: Expired due to Fees
First Claim
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1. A parameter value estimator for a process primarily performed to control emission of a particular non-particulate pollutant into the air, the process having multiple process parameters (MPPs) including a parameter representing an amount of the particular non-particulate pollutant emitted, comprising:

  • one of a neural network process model and a non-neural network process model representing a relationship between one of the MPPs, other than the parameter representing the amount of the emitted particular non-particulate pollutant, and one or more of the other MPPs; and

    a processor configured with the logic to estimate a value of the one MPP based on a value of each of the one or more other MPPs and the one model;

    wherein the one MPP is either (i) a pH level of matter applied in the process to absorb the particular nonparticulate pollutant and thereby control its emission into the air, (ii) a purity of a by-product produced in performing the process, (iii) an amount of oxygen dissolved in matter applied in the process to absorb the particular non-particulate pollutant and thereby control its emission into the air, (iv) an amount of ammonia applied in the process to absorb the particular non-particulate pollutant that is emitted into the air with the particular non-particulate pollutant that is not absorbed, or (v) an amount of applied ammonia in exhausted reduced NOx flue gas, the particular non-particulate pollutant being NOx, and the one or more other MPPs include an amount of the applied ammonia.

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