Artificial neural network-based estimation of mercury speciation in combustion flue gases

Author:

Jensen Robert R,Karki Shankar,Salehfar Hossein

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference7 articles.

1. Power plants and mercury, environmental issues;EPRI,2001

2. EPRI, An Assessment of Mercury Emissions from U.S. Coal-Fired Power Plants, Technical Report, Electric Power Research Institute, Palo Alto, CA, 2000, 1000608.

3. U.S. Environmental Protection Agency Inventory of U.S. Greenhouse Gas Emissions and Sinks 1990–1999; EPA 236-R-01-001; United States Environmental Protection Agency, April 2001.

4. Validation of thermodynamic model for spark ignition engines oriented to control applications;Arsie,1997

5. Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC-MC;Yang;Fuel,2002

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