Abstract: The control of emissions from fossil-fired boilers wherein an injection of substances above the primary combustion zone employs multi-layer feedforward artificial neural networks for modeling static nonlinear relationships between the distribution of injected substances into the upper region of the furnace and the emissions exiting the furnace. Multivariable nonlinear constrained optimization algorithms use the mathematical expressions from the artificial neural networks to provide the optimal substance distribution that minimizes emission levels for a given total substance injection rate.
Type:
Grant
Filed:
August 24, 1999
Date of Patent:
January 14, 2003
Assignees:
The University of Chicago, Energy Sustems Associates
Inventors:
Jaques Reifman, Earl E. Feldman, Thomas Y. C. Wei, Roger W. Glickert