Prediction of combustion efficiency of chicken litter using an artificial neural network approach-Reference-Cited by-同舟云学术

Prediction of combustion efficiency of chicken litter using an artificial neural network approach

Published:2007-03 Issue:5-6 Volume:86 Page:877-886
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Zhu Shijun,Lee S.,Hargrove S.K.,Chen G.

Publisher

Elsevier BV

Subject

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

Reference29 articles.

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2. Bose A. In: Proceedings of the animal waste utilization workshop. US-DOE Federal Energy Technology Center (FETC), Montgomery (VA); 1999. p. 8–9.

3. Lee S, Zhu S. Final Report for Maryland Department of Environment: testing of the animal waste disposal system using advanced fluidized bed combustion technology. Morgan State University; 2002.

4. Characterization of municipal solid waste combustion in a grate furnace

5. Co-firing of coal and biomass fuel blends

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