@article{(Open Science Index):https://publications.waset.org/pdf/531,
	  title     = {Gasifier System Identification for Biomass Power Plants using Neural Network},
	  author    = {Jittarat Satonsaowapak and  Thanatchai. Kulworawanichpong. and  Ratchadaporn Oonsivilai and  Anant Oonsivilai},
	  country	= {},
	  institution	= {},
	  abstract     = {The use of renewable energy sources becomes more
necessary and interesting. As wider applications of renewable energy
devices at domestic, commercial and industrial levels has not only
resulted in greater awareness, but also significantly installed
capacities. In addition, biomass principally is in the form of woods,
which is a form of energy by humans for a long time. Gasification is
a process of conversion of solid carbonaceous fuel into combustible
gas by partial combustion. Many gasifier models have various
operating conditions; the parameters kept in each model are different.
This study applied experimental data, which has three inputs, which
are; biomass consumption, temperature at combustion zone and ash
discharge rate. One output is gas flow rate. For this paper, neural
network was used to identify the gasifier system suitable for the
experimental data. In the result,neural networkis usable to attain the
answer.},
	    journal   = {International Journal of Chemical and Molecular Engineering},
	  volume    = {5},
	  number    = {12},
	  year      = {2011},
	  pages     = {1093 - 1098},
	  ee        = {https://publications.waset.org/pdf/531},
	  url   	= {https://publications.waset.org/vol/60},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 60, 2011},
	}