Gasifier system identification for biomass power plants using response surface method

Authors:
J. Satonsaowapak;T. Ratniyomchai;T. Kulworawanichpong;P. Pao-La-Or;B. Marungsri;A. Oonsivilai
Affiliations:
Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand;Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand;Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand;Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand;Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand;Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Muang District, Nakhon Ratchasima, Thailand
Venue:
EE'10 Proceedings of the 5th IASME/WSEAS international conference on Energy & environment
Year:
2010

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Abstract

Biomass in the form of wood has been used by human as a source of energy for a long period of time. Recently, the use of renewable energy sources has been widely experienced in domestic, commercial, and industrial appliances. This has resulted in a greater awareness and advancement in renewable energy technology. Gasification is a process of conversion of solid carbonaceous fuel into combustible gas by partial combustion. Many gasifier models have various operating conditions and the parameters kept in each model are also different. In this paper, the experimental data applied have three inputs; which are biomass consumption, air flow rate and ash discharge rate. The model presents gas flow rate as an output. The response surface model, multiple linear regression, quadratic model as well as cubic model were used to identify the Gasifier system and results are presented.