A modelling and optimization system for fluidized bed power plants

Expert Systems with Applications

Volumn 36, Issue 7, 2009, Pages 10274-10279

  Heikkinen, Mikko ^a   Hiltunen, Teri ^a   Liukkonen, Mika ^a   Kettunen, Ari ^b   Kuivalainen, Reijo ^b   Hiltunen, Yrjö ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b Foster Wheeler Energia Oy   (Finland)

Author keywords

Modelling; Power plant; Process optimization; Self organizing maps

Indexed keywords

EMISSION REDUCTIONS; EMISSION TRADING SCHEMES; ENERGY PRODUCTIONS; ENVIRONMENTAL LEGISLATIONS; EUROPEAN UNION EMISSIONS TRADING SCHEMES; MATLAB PLATFORMS; MODELLING; NEW SERVICES; OPTIMIZATION SYSTEMS; POST-PROCESSING; PRE-PROCESSING; PROCESS EMISSIONS; PROCESS OPTIMIZATION; PROCESS STATE; STAND-ALONE SOFTWARES; TYPE OF SERVICES; VARIABLE SELECTIONS;

AIR QUALITY; CONFORMAL MAPPING; ENVIRONMENTAL REGULATIONS; FLUID DYNAMICS; FLUIDIZATION; FLUIDIZED BEDS; INTERNATIONAL LAW; MATLAB; OPTIMIZATION; POWER PLANTS; PROCESS CONTROL;

SELF ORGANIZING MAPS;

EID: 67349090314     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.072     Document Type: Article

References (11)

1. Ellerman A.D., and Buchner B.K. The European Union emissions trading scheme: Origins, allocation, and early results. Review of Environmental Economics and Policy 1 1 (2007) 66-87
2. Haydon G., Hiltunen Y., Lucey M., Collett D., Gunson B., Murphy N., et al. Self-organizing maps can determine outcome and match recipients and donors at orthotopic liver transplantation. Transplantation 79 (2005) 213-218
3. Haykin S. Neural networks: A comprehensive foundation (1999), Prentice Hall, Upper Saddle River, NJ
4. Heikkinen M., Kettunen A., Niemitalo E., Kuivalainen R., and Hiltunen Y. SOM-based method for process state monitoring and optimization in fluidized bed power plant. In: Duch W., Kacprzyk J., Oja E., and Zadrozny S. (Eds). Lecture notes in computer science Vol. 3696 (2005), Springer-Verlag, Berlin/Heidelberg 409-414
5. Heikkinen, M., Kolehmainen, M., & Hiltunen, Y. (2004). Classification of process phases using self-organizing maps and Sammon's mapping for investigating activated sludge treatment plant in a pulp mill. In Proceedings of the 4th European symposium on intelligent technologies and their implementation on smart adaptive systems (pp. 281-297).
6. Heikkinen, M., Latvala, T., Juuso, E., & Hiltunen, Y. (2008). SOM-based modelling for an activated sludge treatment process. In The institute of electronic engineer IEEE, 10th international conference on computer modeling and simulation EUROSIM/UKSim 2008, Cambridge, UK.
7. Heikkinen M., Nurminen V., Hiltunen T., and Hiltunen Y. A modeling and optimization tool for the expandable polystyrene batch process. Chemical Product and Process Modeling 3 1 (2008) Article 3
8. Kohonen T. Self-organizing maps (2001), Springer-Verlag, Berlin/Heidelberg/New York
9. Liukkonen M., Havia E., Leinonen H., and Hiltunen Y. Application of self-organizing maps in analysis of wave soldering process. Expert Systems with Applications 36 (2009) 4604-4609
10. MacQueen J. Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley symposium on mathematical statistics and probability. Statistics Vol. I (1967), University of California Press, Berkeley/Los Angeles 281-297
11. Meireles M., Almeida P., and Simões M. A comprehensive review for industrial applicability of artificial neural networks. IEEE Transactions on Industrial Electronics 50 (2003) 585-600