메뉴 건너뛰기




Volumn 97, Issue , 2012, Pages 483-490

Dynamic soft sensors for NOx emissions in a circulating fluidized bed boiler

Author keywords

Fluidized bed; Multilayer perceptron; Nitrogen oxide; Regression; Soft sensor; Variable selection

Indexed keywords

DYNAMICS; FLUE GASES; FLUIDIZED BED COMBUSTION; FLUIDIZED BEDS; FUELS; NITROGEN OXIDES; PULVERIZED FUEL FIRED BOILERS;

EID: 84862314588     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.01.074     Document Type: Article
Times cited : (57)

References (43)
  • 1
    • 0033231790 scopus 로고    scopus 로고
    • Combustion of coal in circulating fluidized-bed boilers: a review
    • Basu P. Combustion of coal in circulating fluidized-bed boilers: a review. Chem Eng Sci 1999, 54:5547-5557.
    • (1999) Chem Eng Sci , vol.54 , pp. 5547-5557
    • Basu, P.1
  • 3
    • 33845347891 scopus 로고    scopus 로고
    • Development of fluidized bed combustion - an overview of trends, performance and cost
    • Koornneef J., Junginger M., Faaij A. Development of fluidized bed combustion - an overview of trends, performance and cost. Prog Energy Combust Sci 2007, 33:19-55.
    • (2007) Prog Energy Combust Sci , vol.33 , pp. 19-55
    • Koornneef, J.1    Junginger, M.2    Faaij, A.3
  • 4
    • 78650547874 scopus 로고    scopus 로고
    • The energy consumption and environmental impacts of SCR technology in China
    • Liang Z., Ma X., Lin H., Tang Y. The energy consumption and environmental impacts of SCR technology in China. Appl Energy 2011, 88:1120-1129.
    • (2011) Appl Energy , vol.88 , pp. 1120-1129
    • Liang, Z.1    Ma, X.2    Lin, H.3    Tang, Y.4
  • 5
    • 77957297315 scopus 로고    scopus 로고
    • A 7 year long measurement period investigating the correlation of corrosion, deposit and fuel in a biomass fired circulated fluidized bed boiler
    • Sandberg J., Karlsson C., Fdhila R.B. A 7 year long measurement period investigating the correlation of corrosion, deposit and fuel in a biomass fired circulated fluidized bed boiler. Appl Energy 2011, 88:99-110.
    • (2011) Appl Energy , vol.88 , pp. 99-110
    • Sandberg, J.1    Karlsson, C.2    Fdhila, R.B.3
  • 6
    • 84855278838 scopus 로고    scopus 로고
    • Nitrogen conversion during rapid pyrolysis of coal and petroleum coke in a high-frequency furnace
    • Yuan S., Zhou Z., Li J., Wang F. Nitrogen conversion during rapid pyrolysis of coal and petroleum coke in a high-frequency furnace. Appl Energy 2012, 92:854-859.
    • (2012) Appl Energy , vol.92 , pp. 854-859
    • Yuan, S.1    Zhou, Z.2    Li, J.3    Wang, F.4
  • 7
    • 17744398018 scopus 로고    scopus 로고
    • Mathematical modelling of NO emission from high-temperature air combustion with nitrous oxide mechanism
    • Yang W., Blasiak W. Mathematical modelling of NO emission from high-temperature air combustion with nitrous oxide mechanism. Fuel Process Technol 2005, 86:943-957.
    • (2005) Fuel Process Technol , vol.86 , pp. 943-957
    • Yang, W.1    Blasiak, W.2
  • 8
    • 67349089877 scopus 로고    scopus 로고
    • Data-driven soft sensors in the process industry
    • Kadlec P., Gabrys B., Strandt S. Data-driven soft sensors in the process industry. Comput Chem Eng 2009, 33:795-814.
    • (2009) Comput Chem Eng , vol.33 , pp. 795-814
    • Kadlec, P.1    Gabrys, B.2    Strandt, S.3
  • 10
    • 60649090799 scopus 로고    scopus 로고
    • Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process
    • Facco P., Doplicher F., Bezzo F., Barolo M. Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process. J Process Control 2009, 19:520-529.
    • (2009) J Process Control , vol.19 , pp. 520-529
    • Facco, P.1    Doplicher, F.2    Bezzo, F.3    Barolo, M.4
  • 11
    • 57049112694 scopus 로고    scopus 로고
    • ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process
    • Gonzaga J.C.B., Meleiro L.A.C., Kiang C., Filho R.M. ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process. Comput Chem Eng 2009, 33:43-49.
    • (2009) Comput Chem Eng , vol.33 , pp. 43-49
    • Gonzaga, J.C.B.1    Meleiro, L.A.C.2    Kiang, C.3    Filho, R.M.4
  • 12
    • 33947266512 scopus 로고    scopus 로고
    • Development of a soft sensor for a batch distillation column using support vector regression techniques
    • Jain P., Rahman I., Kulkarni B.D. Development of a soft sensor for a batch distillation column using support vector regression techniques. Chem Eng Res Des 2007, 85:283-287.
    • (2007) Chem Eng Res Des , vol.85 , pp. 283-287
    • Jain, P.1    Rahman, I.2    Kulkarni, B.D.3
  • 13
    • 67651052228 scopus 로고    scopus 로고
    • Development of adaptive soft sensor based on statistical identification of key variables
    • Ma M.D., Ko J.W., Wang S.J., Wu M.F., Jang S.S., Shieh S.S., et al. Development of adaptive soft sensor based on statistical identification of key variables. Control Eng Pract 2009, 17:1026-1034.
    • (2009) Control Eng Pract , vol.17 , pp. 1026-1034
    • Ma, M.D.1    Ko, J.W.2    Wang, S.J.3    Wu, M.F.4    Jang, S.S.5    Shieh, S.S.6
  • 14
    • 36549010396 scopus 로고    scopus 로고
    • Adaptive soft-sensors for on-line particle size estimation in wet grinding circuits
    • Sbarbaro D., Ascencio P., Espinoza P., Mujica F., Cortes G. Adaptive soft-sensors for on-line particle size estimation in wet grinding circuits. Control Eng Pract 2008, 16:171-178.
    • (2008) Control Eng Pract , vol.16 , pp. 171-178
    • Sbarbaro, D.1    Ascencio, P.2    Espinoza, P.3    Mujica, F.4    Cortes, G.5
  • 16
  • 17
    • 33646200285 scopus 로고    scopus 로고
    • SOM-based method for process state monitoring and optimization in fluidized bed energy plant
    • Springer-Verlag, Berlin Heidelberg, W. Duch, J. Kacprzyk, E. Oja, S. Zadrozny (Eds.)
    • Heikkinen M., Kettunen A., Niemitalo E., Kuivalainen R., Hiltunen Y. SOM-based method for process state monitoring and optimization in fluidized bed energy plant. Lecture notes in computer science 3696 2005, 409-414. Springer-Verlag, Berlin Heidelberg. W. Duch, J. Kacprzyk, E. Oja, S. Zadrozny (Eds.).
    • (2005) Lecture notes in computer science 3696 , pp. 409-414
    • Heikkinen, M.1    Kettunen, A.2    Niemitalo, E.3    Kuivalainen, R.4    Hiltunen, Y.5
  • 18
    • 43449107956 scopus 로고    scopus 로고
    • A modeling and optimization tool for the expandable polystyrene batch process
    • Chem Prod Process Model;3:article 3.
    • Heikkinen M, Nurminen V, Hiltunen T, Hiltunen Y. A modeling and optimization tool for the expandable polystyrene batch process. Chem Prod Process Model 2008;3:article 3.
    • (2008)
    • Heikkinen, M.1    Nurminen, V.2    Hiltunen, T.3    Hiltunen, Y.4
  • 20
    • 0242269356 scopus 로고    scopus 로고
    • Artificial intelligence for the modeling and control of combustion processes: a review
    • Kalogirou S.A. Artificial intelligence for the modeling and control of combustion processes: a review. Prog Energy Combust Sci 2003, 29:515-566.
    • (2003) Prog Energy Combust Sci , vol.29 , pp. 515-566
    • Kalogirou, S.A.1
  • 21
    • 40749144865 scopus 로고    scopus 로고
    • Review of the self-organizing map (SOM) approach in water resources: analysis, modeling and application
    • Kalteh A.M., Hjorth P., Berndtsson R. Review of the self-organizing map (SOM) approach in water resources: analysis, modeling and application. Environ Model Softw 2008, 23:835-845.
    • (2008) Environ Model Softw , vol.23 , pp. 835-845
    • Kalteh, A.M.1    Hjorth, P.2    Berndtsson, R.3
  • 22
    • 58749094331 scopus 로고    scopus 로고
    • Application of self-organizing maps in analysis of wave soldering process
    • Liukkonen M., Havia E., Leinonen H., Hiltunen Y. Application of self-organizing maps in analysis of wave soldering process. Expert Syst Appl 2009, 36:4604-4609.
    • (2009) Expert Syst Appl , vol.36 , pp. 4604-4609
    • Liukkonen, M.1    Havia, E.2    Leinonen, H.3    Hiltunen, Y.4
  • 24
    • 78650741874 scopus 로고    scopus 로고
    • Emission analysis of a fluidized bed boiler by using self-organizing maps
    • Springer-Verlag, Berlin Heidelberg, M. Kolehmainen, P. Toivanen, B. Beliczynski (Eds.)
    • Liukkonen M., Heikkinen M., Hälikkä E., Kuivalainen R., Hiltunen Y. Emission analysis of a fluidized bed boiler by using self-organizing maps. Lecture notes in computer science 5495 2009, 119-129. Springer-Verlag, Berlin Heidelberg. M. Kolehmainen, P. Toivanen, B. Beliczynski (Eds.).
    • (2009) Lecture notes in computer science 5495 , pp. 119-129
    • Liukkonen, M.1    Heikkinen, M.2    Hälikkä, E.3    Kuivalainen, R.4    Hiltunen, Y.5
  • 25
    • 77957899725 scopus 로고    scopus 로고
    • Quality-oriented optimization of wave soldering process by using self-organizing maps
    • Liukkonen M., Havia E., Leinonen H., Hiltunen Y. Quality-oriented optimization of wave soldering process by using self-organizing maps. Appl Soft Comput 2011, 11:214-220.
    • (2011) Appl Soft Comput , vol.11 , pp. 214-220
    • Liukkonen, M.1    Havia, E.2    Leinonen, H.3    Hiltunen, Y.4
  • 28
    • 0037862841 scopus 로고    scopus 로고
    • A comprehensive review for industrial applicability of artificial neural networks
    • Meireles M.R.G., Almeida P.E.M., Simões M.G. A comprehensive review for industrial applicability of artificial neural networks. IEEE Trans Ind Electron 2003, 50:585-601.
    • (2003) IEEE Trans Ind Electron , vol.50 , pp. 585-601
    • Meireles, M.R.G.1    Almeida, P.E.M.2    Simões, M.G.3
  • 29
    • 0142156058 scopus 로고    scopus 로고
    • x emission characteristics of a tangentially fired boiler with artificial neural networks
    • x emission characteristics of a tangentially fired boiler with artificial neural networks. Energy 2004, 29:167-183.
    • (2004) Energy , vol.29 , pp. 167-183
    • Zhou, H.1    Cen, K.2    Fan, J.3
  • 30
    • 72049089300 scopus 로고    scopus 로고
    • x emissions minimization in a coal-fired utility boiler
    • x emissions minimization in a coal-fired utility boiler. Energy Convers Manage 2010, 51:580-586.
    • (2010) Energy Convers Manage , vol.51 , pp. 580-586
    • Zhou, H.1    Zheng, L.2    Cen, K.3
  • 31
    • 1342344557 scopus 로고    scopus 로고
    • 2O emissions in pressurized fluidized bed combustion of subbituminous coals
    • 2O emissions in pressurized fluidized bed combustion of subbituminous coals. Fuel 2004, 83:1095-1103.
    • (2004) Fuel , vol.83 , pp. 1095-1103
    • Svoboda, K.1    Pohořelý, M.2
  • 32
    • 61749094904 scopus 로고    scopus 로고
    • Experimental trends of NO in circulating fluidized bed combustion
    • Tourunen A., Saastamoinen J., Nevalainen H. Experimental trends of NO in circulating fluidized bed combustion. Fuel 2009, 88:1333-1341.
    • (2009) Fuel , vol.88 , pp. 1333-1341
    • Tourunen, A.1    Saastamoinen, J.2    Nevalainen, H.3
  • 33
    • 0037174614 scopus 로고    scopus 로고
    • Optimization of emissions from fluidized bed combustion of coal, biofuel and waste
    • Leckner B., Lyngfelt A. Optimization of emissions from fluidized bed combustion of coal, biofuel and waste. Int J Energy Res 2002, 26:1191-1202.
    • (2002) Int J Energy Res , vol.26 , pp. 1191-1202
    • Leckner, B.1    Lyngfelt, A.2
  • 34
    • 0000087715 scopus 로고
    • Multiple regression as a general data-analytic system
    • Cohen J. Multiple regression as a general data-analytic system. Psychol Bull 1968, 70:426-443.
    • (1968) Psychol Bull , vol.70 , pp. 426-443
    • Cohen, J.1
  • 39
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum A.L., Langley P. Selection of relevant features and examples in machine learning. Artif Intell 1997, 97:245-271.
    • (1997) Artif Intell , vol.97 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 40
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I., Elisseeff A. An introduction to variable and feature selection. J Mach Learn Res 2003, 3:1157-1182.
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 41
    • 39149116851 scopus 로고    scopus 로고
    • Chapman & Hall, United States of America, H. Liu, H. Motoda (Eds.)
    • Computational methods of feature selection 2008, Chapman & Hall, United States of America. H. Liu, H. Motoda (Eds.).
    • (2008) Computational methods of feature selection
  • 42
    • 0015125457 scopus 로고
    • A direct method of nonparametric measurement selection
    • Whitney A.W. A direct method of nonparametric measurement selection. IEEE Trans Comput 1971, C-20:1100-1103.
    • (1971) IEEE Trans Comput , vol.C 20 , pp. 1100-1103
    • Whitney, A.W.1
  • 43
    • 0043003712 scopus 로고
    • A methodology for manufacturing process signature analysis
    • Eppinger S.D., Huber C.D., Pham V.H. A methodology for manufacturing process signature analysis. J Manuf Syst 1995, 14:20-34.
    • (1995) J Manuf Syst , vol.14 , pp. 20-34
    • Eppinger, S.D.1    Huber, C.D.2    Pham, V.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.