Gas Flow Rate Identification in Biomass Power Plants by Response Surface Method
The utilize of renewable energy sources becomes
more crucial and fascinatingly, wider application of renewable
energy devices at domestic, commercial and industrial levels is not
only affect to stronger awareness but also significantly installed
capacities. Moreover, biomass principally is in form of woods and
converts to be energy for using by humans for a long time.
Gasification is a process of conversion of solid carbonaceous fuel
into combustible gas by partial combustion. Many gasified models
have various operating conditions because the parameters kept in
each model are differentiated. This study applied the experimental
data including three inputs variables including biomass consumption;
temperature at combustion zone and ash discharge rate and gas flow
rate as only one output variable. In this paper, response surface
methods were applied for identification of the gasified system
equation suitable for experimental data. The result showed that linear
model gave superlative results.
[1] C. Sagues, P. Hirano, Garcia-Bacaicoa, and S. Serrano, "Automatic
control of biomass gasifieds using fuzzy inference systems,"
Bioresource Technology., vol. 98, 1987, pp. 845-855.
[2] P. N. Sheth, and B. V. Babu, "Effect of Moisture Content on
Composition Profiles of Producer Gas in Downdraft Biomass Gasified,"
Proceedings of International Congress Chemistry and Environment
(ICCE), 2005, pp. 356-360.
[3] G. Schuster, G. Loffler, K. Weigl, and H. Hofbauer , "Biomass Steam
Gasification-an Extensive Parametric Modeling Study," Bioresource
Technology., 2001, pp. 71-79.
[4] S. Ashok, and P. Balamurugan , "Biomass Gasified Based Hybrid
Energy System for Rural Areas,". IEEE Canada Electrical
Power Conference, 2007, pp. 371-375.
[5] W. Panote, C. F. Chun, and C. N. Chem, "A Study on The Potential of
Corn Cob Engine-Generator for Electricity Generation in Thailand,"
Proceeding of IEEE TENCON-02, 2002, pp. 1958-1961.
[6] P. W. Bo, X. H. Zhen, and R. Tommi, "A Novel Response Surface
Method for Design Optimization of Electronic Packages," 6th. Int. Conf.
on Thermal, Mechanical and Multiphysics Simulation and Experiments
in Micro-Electronics and Micro-Systems, 2005, pp. 175-181.
[7] X. Ruoning, and D. Zuomin, "Fuzzy Modeling in Response Surface
Method for Complex Computer Model Based Design Optimization,"
Mechatronic and Embedded Systems and Applications, Proceedings of
the 2nd IEEE/ASME International Conference on, 2006, pp. 1-6.
[8] C. Yingjun, C. Gaowei, X. Dapeng, Z. Wenjie and L. Le, "Thermal
Analysis for Indirect Liquid Cooled Multichip Module Using
Computational Fluid Dynamic Simulation and Response Surface
Methodology," IEEE Transactions on Components and Packaging
Technologies, vol. 29, 2006, pp. 39-46
[9] L. Ke, Q. Haobo, G. Liang, and S. Yifei, "Comparison of Stochastic
Response Surface Method and Response Surface Method for Structure
Reliability Analysis," IEEE Second International Conference on
Intelligent Computation Technology and Automation, 2009, pp.172-175.
[10] J. Laurent, M. A. Jabbar, and Q. Lui, "Design Optimization of
Permanent Magnet Motors Using Response Surface Methodology and
Genetic Algorithms," IEEE Transaction on Magnatics, vol.41, 2005, pp.
3928-3930.
[11] C. Hsien-Chie, C. Wen-Hwa, and C. I-Chun, "Integration of Simulation
and Response Surface Methods for Thermal Design of Multichip
Modules," IEEE Transaction on Components and Packaging
Technologies, vol. 27, 2004, pp. 359-372.
[12] K. R. Anil, "Biomass Gasification," Alternative Energy in Agriculture,
vol. II, 1986, pp. 83-102.
[13] A. Oonsivilai, J. Satonsaowapak, T. Ratniyomchai, T.
Kulworawanichpong, P. Pao-La-Or, and B. Marungsri, "Response
Surface Method Application in Gasified System Identification for
Biomass Power Plants," WSEAS Transactions on Systems, vol. 9, 2010,
pp. 629-638
[14] A. Oonsivilai, K. A. Greyson, "Optimization of distributed processors
for power system: Kalman Filters using Petri Net". Proc. WASET, May
27-29, Tokyo, Japan, 2009.
[15] A. Oonsivilai, and R. Oonsivilai, A genetic algorithm application in
natural cheese products. WSEAS TRANSACTIONS on SYSTEMS.
Issue 1, Vol 8, January, ISSN : 1109 - 2777, pp: 44 - 54, 2009.
[1] C. Sagues, P. Hirano, Garcia-Bacaicoa, and S. Serrano, "Automatic
control of biomass gasifieds using fuzzy inference systems,"
Bioresource Technology., vol. 98, 1987, pp. 845-855.
[2] P. N. Sheth, and B. V. Babu, "Effect of Moisture Content on
Composition Profiles of Producer Gas in Downdraft Biomass Gasified,"
Proceedings of International Congress Chemistry and Environment
(ICCE), 2005, pp. 356-360.
[3] G. Schuster, G. Loffler, K. Weigl, and H. Hofbauer , "Biomass Steam
Gasification-an Extensive Parametric Modeling Study," Bioresource
Technology., 2001, pp. 71-79.
[4] S. Ashok, and P. Balamurugan , "Biomass Gasified Based Hybrid
Energy System for Rural Areas,". IEEE Canada Electrical
Power Conference, 2007, pp. 371-375.
[5] W. Panote, C. F. Chun, and C. N. Chem, "A Study on The Potential of
Corn Cob Engine-Generator for Electricity Generation in Thailand,"
Proceeding of IEEE TENCON-02, 2002, pp. 1958-1961.
[6] P. W. Bo, X. H. Zhen, and R. Tommi, "A Novel Response Surface
Method for Design Optimization of Electronic Packages," 6th. Int. Conf.
on Thermal, Mechanical and Multiphysics Simulation and Experiments
in Micro-Electronics and Micro-Systems, 2005, pp. 175-181.
[7] X. Ruoning, and D. Zuomin, "Fuzzy Modeling in Response Surface
Method for Complex Computer Model Based Design Optimization,"
Mechatronic and Embedded Systems and Applications, Proceedings of
the 2nd IEEE/ASME International Conference on, 2006, pp. 1-6.
[8] C. Yingjun, C. Gaowei, X. Dapeng, Z. Wenjie and L. Le, "Thermal
Analysis for Indirect Liquid Cooled Multichip Module Using
Computational Fluid Dynamic Simulation and Response Surface
Methodology," IEEE Transactions on Components and Packaging
Technologies, vol. 29, 2006, pp. 39-46
[9] L. Ke, Q. Haobo, G. Liang, and S. Yifei, "Comparison of Stochastic
Response Surface Method and Response Surface Method for Structure
Reliability Analysis," IEEE Second International Conference on
Intelligent Computation Technology and Automation, 2009, pp.172-175.
[10] J. Laurent, M. A. Jabbar, and Q. Lui, "Design Optimization of
Permanent Magnet Motors Using Response Surface Methodology and
Genetic Algorithms," IEEE Transaction on Magnatics, vol.41, 2005, pp.
3928-3930.
[11] C. Hsien-Chie, C. Wen-Hwa, and C. I-Chun, "Integration of Simulation
and Response Surface Methods for Thermal Design of Multichip
Modules," IEEE Transaction on Components and Packaging
Technologies, vol. 27, 2004, pp. 359-372.
[12] K. R. Anil, "Biomass Gasification," Alternative Energy in Agriculture,
vol. II, 1986, pp. 83-102.
[13] A. Oonsivilai, J. Satonsaowapak, T. Ratniyomchai, T.
Kulworawanichpong, P. Pao-La-Or, and B. Marungsri, "Response
Surface Method Application in Gasified System Identification for
Biomass Power Plants," WSEAS Transactions on Systems, vol. 9, 2010,
pp. 629-638
[14] A. Oonsivilai, K. A. Greyson, "Optimization of distributed processors
for power system: Kalman Filters using Petri Net". Proc. WASET, May
27-29, Tokyo, Japan, 2009.
[15] A. Oonsivilai, and R. Oonsivilai, A genetic algorithm application in
natural cheese products. WSEAS TRANSACTIONS on SYSTEMS.
Issue 1, Vol 8, January, ISSN : 1109 - 2777, pp: 44 - 54, 2009.
@article{"International Journal of Electrical, Electronic and Communication Sciences:56484", author = "J. Satonsaowapak and M. Krapeedang and R. Oonsivilai and A. Oonsivilai", title = "Gas Flow Rate Identification in Biomass Power Plants by Response Surface Method", abstract = "The utilize of renewable energy sources becomes
more crucial and fascinatingly, wider application of renewable
energy devices at domestic, commercial and industrial levels is not
only affect to stronger awareness but also significantly installed
capacities. Moreover, biomass principally is in form of woods and
converts to be energy for using by humans for a long time.
Gasification is a process of conversion of solid carbonaceous fuel
into combustible gas by partial combustion. Many gasified models
have various operating conditions because the parameters kept in
each model are differentiated. This study applied the experimental
data including three inputs variables including biomass consumption;
temperature at combustion zone and ash discharge rate and gas flow
rate as only one output variable. In this paper, response surface
methods were applied for identification of the gasified system
equation suitable for experimental data. The result showed that linear
model gave superlative results.", keywords = "Gasified System, Identification, Response SurfaceMethod", volume = "4", number = "10", pages = "1501-4", }
