A new approach for clustering in desulfurization system based on modified framework for gypsum slurry quality monitoring
Wet flue gas desulfurization (WFGD) is very important in reduction of SO2 emission in power plant for its lower investment cost, higher desulfurization efficiency and useful by-products. Healthy slurry works as the premise of performance analysis and optimization in WFGD system. However, little rese...
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| Veröffentlicht in: | Energy (Oxford) Jg. 148; S. 789 - 801 |
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| Abstract | Wet flue gas desulfurization (WFGD) is very important in reduction of SO2 emission in power plant for its lower investment cost, higher desulfurization efficiency and useful by-products. Healthy slurry works as the premise of performance analysis and optimization in WFGD system. However, little research has been conducted on monitoring gypsum slurry quality deterioration. In this paper, an on-line clustering framework has been proposed to monitor gypsum slurry quality in desulfurization system based on data mining. Compound parameterγ, is put forward to remove the influences to slurry quality from gas volume and inlet SO2 concentration to CaCO3 slurry flow. Thus, after the simplification, desulfurization efficiency, pH value and γ are taken as parameters for gypsum slurry quality monitoring. A new clustering method, EKFCM, based on improved fuzzy clustering algorithm, Kmeans and fuzzy C-means combined with entropy theory is proposed. EKFCM is superior to basic FCM in finding the clustering number without prior knowledge when dealing with off-line data, verified by a self-defined function with validity indexes comparison. A new rule, Sub-TDFO, with time decay inserted into “first in first out” in the subset, is proposed to the framework for on-line learning. Another self-defined function is added to the former one for on-line process simulation to verify the effectiveness of the proposed framework. Then, WFGD system in a 600 MW unit is worked as the clustering case study for gypsum slurry quality on-line monitoring and quantization. The clustering results from the proposed on-line framework can be applied to illustrate the process of gypsum slurry quality variation. Moreover, this method be used in other industry processes data for its on-line features.
•A on-line clustering framework is proposed for gypsum slurry quality monitoring.•Put forward parameter γ, as a significant strategy to remove complex influences.•EKFCM proposed has the capacity of self-adaptation without prior knowledge.•Sub-TDFO strategy for WFGD analysis is with time decay taken into consideration. |
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| AbstractList | Wet flue gas desulfurization (WFGD) is very important in reduction of SO2 emission in power plant for its lower investment cost, higher desulfurization efficiency and useful by-products. Healthy slurry works as the premise of performance analysis and optimization in WFGD system. However, little research has been conducted on monitoring gypsum slurry quality deterioration. In this paper, an on-line clustering framework has been proposed to monitor gypsum slurry quality in desulfurization system based on data mining. Compound parameterγ, is put forward to remove the influences to slurry quality from gas volume and inlet SO2 concentration to CaCO3 slurry flow. Thus, after the simplification, desulfurization efficiency, pH value and γ are taken as parameters for gypsum slurry quality monitoring. A new clustering method, EKFCM, based on improved fuzzy clustering algorithm, Kmeans and fuzzy C-means combined with entropy theory is proposed. EKFCM is superior to basic FCM in finding the clustering number without prior knowledge when dealing with off-line data, verified by a self-defined function with validity indexes comparison. A new rule, Sub-TDFO, with time decay inserted into “first in first out” in the subset, is proposed to the framework for on-line learning. Another self-defined function is added to the former one for on-line process simulation to verify the effectiveness of the proposed framework. Then, WFGD system in a 600 MW unit is worked as the clustering case study for gypsum slurry quality on-line monitoring and quantization. The clustering results from the proposed on-line framework can be applied to illustrate the process of gypsum slurry quality variation. Moreover, this method be used in other industry processes data for its on-line features. Wet flue gas desulfurization (WFGD) is very important in reduction of SO2 emission in power plant for its lower investment cost, higher desulfurization efficiency and useful by-products. Healthy slurry works as the premise of performance analysis and optimization in WFGD system. However, little research has been conducted on monitoring gypsum slurry quality deterioration. In this paper, an on-line clustering framework has been proposed to monitor gypsum slurry quality in desulfurization system based on data mining. Compound parameterγ, is put forward to remove the influences to slurry quality from gas volume and inlet SO2 concentration to CaCO3 slurry flow. Thus, after the simplification, desulfurization efficiency, pH value and γ are taken as parameters for gypsum slurry quality monitoring. A new clustering method, EKFCM, based on improved fuzzy clustering algorithm, Kmeans and fuzzy C-means combined with entropy theory is proposed. EKFCM is superior to basic FCM in finding the clustering number without prior knowledge when dealing with off-line data, verified by a self-defined function with validity indexes comparison. A new rule, Sub-TDFO, with time decay inserted into “first in first out” in the subset, is proposed to the framework for on-line learning. Another self-defined function is added to the former one for on-line process simulation to verify the effectiveness of the proposed framework. Then, WFGD system in a 600 MW unit is worked as the clustering case study for gypsum slurry quality on-line monitoring and quantization. The clustering results from the proposed on-line framework can be applied to illustrate the process of gypsum slurry quality variation. Moreover, this method be used in other industry processes data for its on-line features. •A on-line clustering framework is proposed for gypsum slurry quality monitoring.•Put forward parameter γ, as a significant strategy to remove complex influences.•EKFCM proposed has the capacity of self-adaptation without prior knowledge.•Sub-TDFO strategy for WFGD analysis is with time decay taken into consideration. |
| Author | Si, Fengqi Cui, Yanfeng Zhu, Hongxia Gu, Hui Xue, Rui |
| Author_xml | – sequence: 1 givenname: Hui surname: Gu fullname: Gu, Hui email: guhuini@126.com organization: School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, Jiangsu Province, China – sequence: 2 givenname: Yanfeng surname: Cui fullname: Cui, Yanfeng organization: School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, Jiangsu Province, China – sequence: 3 givenname: Hongxia surname: Zhu fullname: Zhu, Hongxia organization: School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, Jiangsu Province, China – sequence: 4 givenname: Rui surname: Xue fullname: Xue, Rui organization: School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, Jiangsu Province, China – sequence: 5 givenname: Fengqi surname: Si fullname: Si, Fengqi organization: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, 210096, Jiangsu Province, China |
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| Cites_doi | 10.1205/cherd.03115 10.1016/j.psep.2017.03.033 10.1016/j.neucom.2014.08.070 10.1021/acs.iecr.5b02691 10.1016/j.apenergy.2007.09.003 10.1021/ie0109760 10.1016/j.fuproc.2010.07.020 10.1016/j.energy.2012.09.009 10.1142/S0218001411008683 10.1109/TIP.2017.2722234 10.1002/ceat.201100690 10.1021/ie102239q 10.1016/0098-3004(84)90020-7 10.1016/S1385-8947(01)00226-1 10.1016/S0009-2509(05)80038-7 10.1016/j.patcog.2010.10.018 10.1007/s10618-012-0302-x 10.1021/ie051316o 10.1016/j.eswa.2008.12.008 10.1016/S0019-9958(65)90241-X 10.1016/j.ejor.2004.06.014 10.1021/ie9709446 10.1080/00387010.2017.1317271 10.1016/S1383-5866(03)00188-6 10.1016/j.cherd.2013.10.026 10.1016/j.ces.2009.06.011 10.1016/j.energy.2016.02.143 10.1016/j.cej.2014.09.085 10.1016/j.apenergy.2009.09.007 10.1016/j.fuproc.2015.05.002 10.1016/j.eswa.2012.01.131 10.1016/j.minpro.2005.06.007 10.1016/S0306-2619(03)00039-4 |
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| Keywords | Gypsum slurry quality Sub-TDFO strategy WFGD EKFCM |
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| References | Katolicky, Jicha (bib8) 2013; 36 Neveux, Le Moullec (bib18) 2011; 50 Lancia, Musmarra, Pepe, Volpicelli (bib21) 1994; 49 Scala, D'Ascenzo, Lancia (bib5) 2004; 34 Lee, Jang, Ryu, Kim, Bang (bib13) 2012; 47 Kallinikos, Farsari, Spartinos, Papayannakos (bib9) 2010; 91 Bezdek, Ehrlich, Full (bib38) 1984; 10 Fang, Du, Huang, Wen, Liu (bib10) 2012 Chiverton, Ige, Barnett, Parry (bib39) 2017; 26 Wu, Wei, Huang, Liu, Jiang (bib32) 2017; 50 Colle, Thomas, Vanderschuren (bib1) 2005; 83 Kisiela, Czajka, Moron, Rybak, Andryjowicz (bib35) 2016; 116 Carletti, De Basio, Makila, Salonen, Westerlund (bib6) 2015; 54 del Valle-Zermeno, Niubo, Formosa, Guembe, Aparicio, Chimenos (bib36) 2015; 262 Bai, Liang, Dang, Cao (bib29) 2012; 39 Si, Romero, Yao, Xu, Morey, Liebowitz (bib37) 2009; 36 Sekine, Yamadera, Matsukata, Kikuchi (bib4) 2010; 65 Xiao, Li, Li, Zeng, Wen, Guo (bib14) 2014; 92 Kiil, Michelsen, Dam-Johansen (bib34) 1998; 37 Bagirov, Yearwood (bib31) 2006; 170 Delgadillo, Rajamani (bib17) 2005; 77 de Gisi, Molino, Notarnicola (bib11) 2017; 109 Kikkawa, Nakamoto, Morishita, Yamada (bib16) 2002; 41 Islas, Grande (bib33) 2008; 85 Xu, Kliger, Hero (bib23) 2014; 28 Hadinata, Sembiring, Kusumasari, Herawan (bib26) 2017 Bradley, Mangasarian, Street (bib28) 1996 Vega-Pons, Ruiz-Shulcloper (bib22) 2011; 25 Zhang, Li, Lan (bib2) 2013 Wang, Zhang (bib7) 2011 Sun, Wang, Zhou, Hui (bib20) 2010; 87 Bagirov, Ugon, Webb (bib30) 2011; 44 Galos, Smakowski, Szlugaj (bib3) 2003; 75 Ortiz, Vidal, Ollero, Salvador, Cortes, Gimenez (bib19) 2006; 45 Karami, Guerrero-Zapata (bib27) 2015; 149 Meikap, Kundu, Biswas (bib15) 2002; 86 Mitra, Chaudhuri (bib24) 2006 Zadeh (bib25) 1965; 8 del Valle-Zermeno, Formosa, Aparicio, Guembe, Chimenos (bib12) 2015; 138 Bai (10.1016/j.energy.2018.01.175_bib29) 2012; 39 Galos (10.1016/j.energy.2018.01.175_bib3) 2003; 75 de Gisi (10.1016/j.energy.2018.01.175_bib11) 2017; 109 Mitra (10.1016/j.energy.2018.01.175_bib24) 2006 Chiverton (10.1016/j.energy.2018.01.175_bib39) 2017; 26 Sekine (10.1016/j.energy.2018.01.175_bib4) 2010; 65 Si (10.1016/j.energy.2018.01.175_bib37) 2009; 36 Carletti (10.1016/j.energy.2018.01.175_bib6) 2015; 54 Kikkawa (10.1016/j.energy.2018.01.175_bib16) 2002; 41 Colle (10.1016/j.energy.2018.01.175_bib1) 2005; 83 Xu (10.1016/j.energy.2018.01.175_bib23) 2014; 28 Bagirov (10.1016/j.energy.2018.01.175_bib31) 2006; 170 Fang (10.1016/j.energy.2018.01.175_bib10) 2012 Bagirov (10.1016/j.energy.2018.01.175_bib30) 2011; 44 Islas (10.1016/j.energy.2018.01.175_bib33) 2008; 85 Lancia (10.1016/j.energy.2018.01.175_bib21) 1994; 49 Karami (10.1016/j.energy.2018.01.175_bib27) 2015; 149 Katolicky (10.1016/j.energy.2018.01.175_bib8) 2013; 36 Zhang (10.1016/j.energy.2018.01.175_bib2) 2013 Scala (10.1016/j.energy.2018.01.175_bib5) 2004; 34 Kallinikos (10.1016/j.energy.2018.01.175_bib9) 2010; 91 Ortiz (10.1016/j.energy.2018.01.175_bib19) 2006; 45 del Valle-Zermeno (10.1016/j.energy.2018.01.175_bib12) 2015; 138 Sun (10.1016/j.energy.2018.01.175_bib20) 2010; 87 Bezdek (10.1016/j.energy.2018.01.175_bib38) 1984; 10 Zadeh (10.1016/j.energy.2018.01.175_bib25) 1965; 8 Wu (10.1016/j.energy.2018.01.175_bib32) 2017; 50 Kiil (10.1016/j.energy.2018.01.175_bib34) 1998; 37 Kisiela (10.1016/j.energy.2018.01.175_bib35) 2016; 116 del Valle-Zermeno (10.1016/j.energy.2018.01.175_bib36) 2015; 262 Vega-Pons (10.1016/j.energy.2018.01.175_bib22) 2011; 25 Xiao (10.1016/j.energy.2018.01.175_bib14) 2014; 92 Meikap (10.1016/j.energy.2018.01.175_bib15) 2002; 86 Delgadillo (10.1016/j.energy.2018.01.175_bib17) 2005; 77 Hadinata (10.1016/j.energy.2018.01.175_bib26) 2017 Wang (10.1016/j.energy.2018.01.175_bib7) 2011 Neveux (10.1016/j.energy.2018.01.175_bib18) 2011; 50 Lee (10.1016/j.energy.2018.01.175_bib13) 2012; 47 Bradley (10.1016/j.energy.2018.01.175_bib28) 1996 |
| References_xml | – start-page: 506 year: 2017 end-page: 516 ident: bib26 article-title: The algorithm expansion for starting point determination using clustering algorithm method with fuzzy C-Means publication-title: Recent advances on soft computing and data Mining – start-page: 363 year: 2013 end-page: 366 ident: bib2 article-title: Experimental study on fluid mechanics of nozzle and ammonia desulfurization of iron and steel sintering furnace publication-title: Frontiers of chemical engineering, metallurgical engineering and materials Ii – volume: 116 start-page: 1454 year: 2016 end-page: 1463 ident: bib35 article-title: Unburned carbon from lignite fly ash as an adsorbent for SO2 removal publication-title: Energy – volume: 45 start-page: 1466 year: 2006 end-page: 1477 ident: bib19 article-title: Pilot-plant technical assessment of wet flue gas desulfurization using limestone publication-title: Ind Eng Chem Res – volume: 65 start-page: 487 year: 2010 end-page: 491 ident: bib4 article-title: Simultaneous dry reforming and desulfurization of biomethane with non-equilibrium electric discharge at ambient temperature publication-title: Chem Eng Sci – volume: 54 start-page: 9783 year: 2015 end-page: 9797 ident: bib6 article-title: Optimization of a wet flue gas desulfurization scrubber through mathematical modeling of limestone dissolution experiments publication-title: Ind Eng Chem Res – volume: 91 start-page: 1794 year: 2010 end-page: 1802 ident: bib9 article-title: Simulation of the operation of an industrial wet flue gas desulfurization system publication-title: Fuel Process Technol – volume: 44 start-page: 866 year: 2011 end-page: 876 ident: bib30 article-title: Fast modified global k-means algorithm for incremental cluster construction publication-title: Pattern Recogn – volume: 25 start-page: 337 year: 2011 end-page: 372 ident: bib22 article-title: A survey of clustering ensemble algorithms publication-title: Int J Pattern Recogn Artif Intell – volume: 34 start-page: 143 year: 2004 end-page: 153 ident: bib5 article-title: Modeling flue gas desulfurization by spray-dry absorption publication-title: Separ Purif Technol – volume: 49 start-page: 4523 year: 1994 end-page: 4532 ident: bib21 article-title: SO2 absorption in a bubbling reactor using limestone suspensions publication-title: Chem Eng Sci – volume: 86 start-page: 331 year: 2002 end-page: 342 ident: bib15 article-title: Modeling of a novel multi-stage bubble column scrubber for flue gas desulfurization publication-title: Chem Eng J – volume: 75 start-page: 257 year: 2003 end-page: 265 ident: bib3 article-title: Flue-gas desulphurisation products from Polish coal-fired power-plants publication-title: Appl Energy – start-page: 368 year: 1996 end-page: 374 ident: bib28 article-title: Clustering via concave minimization publication-title: Advances in neural information processing systems 9: proceedings of the – volume: 50 start-page: 7579 year: 2011 end-page: 7592 ident: bib18 article-title: Wet industrial flue gas desulfurization unit: model development and validation on industrial data publication-title: Ind Eng Chem Res – volume: 85 start-page: 80 year: 2008 end-page: 94 ident: bib33 article-title: Abatement costs of SO2-control options in the Mexican electric-power sector publication-title: Appl Energy – volume: 10 start-page: 191 year: 1984 end-page: 203 ident: bib38 article-title: FCM: the fuzzy c-means clustering algorithm publication-title: Comput Geosci – volume: 83 start-page: 81 year: 2005 end-page: 87 ident: bib1 article-title: Process simulation of sulphur dioxide abatement with hydrogen peroxide solutions in a packed column publication-title: Chem Eng Res Des – start-page: 3662 year: 2012 end-page: 3667 ident: bib10 article-title: Numerical simulation research for the optimization of the wet flue gas desulfurization tower publication-title: Progress in civil engineering, pts 1-4 – volume: 37 start-page: 2792 year: 1998 end-page: 2806 ident: bib34 article-title: Experimental investigation and modeling of a wet flue gas desulfurization pilot plant publication-title: Ind Eng Chem Res – volume: 47 start-page: 370 year: 2012 end-page: 377 ident: bib13 article-title: Mineral carbonation of flue gas desulfurization gypsum for CO2 sequestration publication-title: Energy – volume: 28 start-page: 304 year: 2014 end-page: 336 ident: bib23 article-title: Adaptive evolutionary clustering publication-title: Data Min Knowl Discov – volume: 41 start-page: 3028 year: 2002 end-page: 3036 ident: bib16 article-title: New wet FGD process using granular limestone publication-title: Ind Eng Chem Res – volume: 26 start-page: 5284 year: 2017 end-page: 5297 ident: bib39 article-title: Multiscale Shannon's entropy modeling of orientation and distance in steel fiber micro-tomography data publication-title: IEEE Trans Image Process – volume: 39 start-page: 8022 year: 2012 end-page: 8029 ident: bib29 article-title: A cluster centers initialization method for clustering categorical data publication-title: Expert Syst Appl – volume: 77 start-page: 217 year: 2005 end-page: 230 ident: bib17 article-title: A comparative study of three turbulence-closure models for the hydrocyclone problem publication-title: Int J Miner Process – volume: 109 start-page: 117 year: 2017 end-page: 129 ident: bib11 article-title: Enhancing the recovery of gypsum in limestone-based wet flue gas desulfurization with high energy ball milling process: a feasibility study publication-title: Process Saf Environ Protect – volume: 87 start-page: 1505 year: 2010 end-page: 1512 ident: bib20 article-title: Experimental study on desulfurization efficiency and gas-liquid mass transfer in a new liquid-screen desulfurization system publication-title: Appl Energy – volume: 92 start-page: 1257 year: 2014 end-page: 1266 ident: bib14 article-title: Optimal design of a wet-type desulphurization absorber by the numerical simulation method publication-title: Chem Eng Res Des – volume: 170 start-page: 578 year: 2006 end-page: 596 ident: bib31 article-title: A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems publication-title: Eur J Oper Res – volume: 50 start-page: 270 year: 2017 end-page: 274 ident: bib32 article-title: Optimized fuzzy C-means clustering algorithm for the interpretation of the near-infrared spectra of rocks publication-title: Spectrosc Lett – volume: 36 start-page: 8691 year: 2009 end-page: 8704 ident: bib37 article-title: A new approach for function approximation in boiler combustion optimization based on modified structural AOSVR publication-title: Expert Syst Appl – start-page: 1023 year: 2011 end-page: 1028 ident: bib7 article-title: Effect of humidification water on semi-dry flue gas desulfurization publication-title: 2nd international conference on challenges in environmental science and computer Engineering2011 – start-page: 1 year: 2006 end-page: 10 ident: bib24 article-title: Efficient algorithm for the extraction of association rules in data mining publication-title: Computational science and its applications - iccsa – volume: 262 start-page: 268 year: 2015 end-page: 277 ident: bib36 article-title: Synergistic effect of the parameters affecting wet flue gas desulfurization using magnesium oxides by-products publication-title: Chem Eng J – volume: 138 start-page: 30 year: 2015 end-page: 36 ident: bib12 article-title: Transposition of wet flue gas desulfurization using MgO by-products: from laboratory discontinuous batch reactor to pilot scrubber publication-title: Fuel Process Technol – volume: 36 start-page: 156 year: 2013 end-page: 166 ident: bib8 article-title: Influence of the lime slurry droplet spectrum on the efficiency of semi-dry flue gas desulfurization publication-title: Chem Eng Technol – volume: 8 start-page: 338 year: 1965 end-page: 353 ident: bib25 article-title: FUZZY SETS publication-title: Inf Control – volume: 149 start-page: 1253 year: 2015 end-page: 1269 ident: bib27 article-title: A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks publication-title: Neurocomputing – volume: 83 start-page: 81 issue: A1 year: 2005 ident: 10.1016/j.energy.2018.01.175_bib1 article-title: Process simulation of sulphur dioxide abatement with hydrogen peroxide solutions in a packed column publication-title: Chem Eng Res Des doi: 10.1205/cherd.03115 – volume: 109 start-page: 117 year: 2017 ident: 10.1016/j.energy.2018.01.175_bib11 article-title: Enhancing the recovery of gypsum in limestone-based wet flue gas desulfurization with high energy ball milling process: a feasibility study publication-title: Process Saf Environ Protect doi: 10.1016/j.psep.2017.03.033 – volume: 149 start-page: 1253 year: 2015 ident: 10.1016/j.energy.2018.01.175_bib27 article-title: A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.08.070 – volume: 54 start-page: 9783 issue: 40 year: 2015 ident: 10.1016/j.energy.2018.01.175_bib6 article-title: Optimization of a wet flue gas desulfurization scrubber through mathematical modeling of limestone dissolution experiments publication-title: Ind Eng Chem Res doi: 10.1021/acs.iecr.5b02691 – start-page: 1 year: 2006 ident: 10.1016/j.energy.2018.01.175_bib24 article-title: Efficient algorithm for the extraction of association rules in data mining – volume: 85 start-page: 80 issue: 2–3 year: 2008 ident: 10.1016/j.energy.2018.01.175_bib33 article-title: Abatement costs of SO2-control options in the Mexican electric-power sector publication-title: Appl Energy doi: 10.1016/j.apenergy.2007.09.003 – start-page: 368 year: 1996 ident: 10.1016/j.energy.2018.01.175_bib28 article-title: Clustering via concave minimization – volume: 41 start-page: 3028 issue: 12 year: 2002 ident: 10.1016/j.energy.2018.01.175_bib16 article-title: New wet FGD process using granular limestone publication-title: Ind Eng Chem Res doi: 10.1021/ie0109760 – start-page: 3662 year: 2012 ident: 10.1016/j.energy.2018.01.175_bib10 article-title: Numerical simulation research for the optimization of the wet flue gas desulfurization tower – volume: 91 start-page: 1794 issue: 12 year: 2010 ident: 10.1016/j.energy.2018.01.175_bib9 article-title: Simulation of the operation of an industrial wet flue gas desulfurization system publication-title: Fuel Process Technol doi: 10.1016/j.fuproc.2010.07.020 – volume: 47 start-page: 370 issue: 1 year: 2012 ident: 10.1016/j.energy.2018.01.175_bib13 article-title: Mineral carbonation of flue gas desulfurization gypsum for CO2 sequestration publication-title: Energy doi: 10.1016/j.energy.2012.09.009 – volume: 25 start-page: 337 issue: 3 year: 2011 ident: 10.1016/j.energy.2018.01.175_bib22 article-title: A survey of clustering ensemble algorithms publication-title: Int J Pattern Recogn Artif Intell doi: 10.1142/S0218001411008683 – volume: 26 start-page: 5284 issue: 11 year: 2017 ident: 10.1016/j.energy.2018.01.175_bib39 article-title: Multiscale Shannon's entropy modeling of orientation and distance in steel fiber micro-tomography data publication-title: IEEE Trans Image Process doi: 10.1109/TIP.2017.2722234 – volume: 36 start-page: 156 issue: 1 year: 2013 ident: 10.1016/j.energy.2018.01.175_bib8 article-title: Influence of the lime slurry droplet spectrum on the efficiency of semi-dry flue gas desulfurization publication-title: Chem Eng Technol doi: 10.1002/ceat.201100690 – volume: 50 start-page: 7579 issue: 12 year: 2011 ident: 10.1016/j.energy.2018.01.175_bib18 article-title: Wet industrial flue gas desulfurization unit: model development and validation on industrial data publication-title: Ind Eng Chem Res doi: 10.1021/ie102239q – volume: 10 start-page: 191 issue: 2–3 year: 1984 ident: 10.1016/j.energy.2018.01.175_bib38 article-title: FCM: the fuzzy c-means clustering algorithm publication-title: Comput Geosci doi: 10.1016/0098-3004(84)90020-7 – volume: 86 start-page: 331 issue: 3 year: 2002 ident: 10.1016/j.energy.2018.01.175_bib15 article-title: Modeling of a novel multi-stage bubble column scrubber for flue gas desulfurization publication-title: Chem Eng J doi: 10.1016/S1385-8947(01)00226-1 – volume: 49 start-page: 4523 issue: 24A year: 1994 ident: 10.1016/j.energy.2018.01.175_bib21 article-title: SO2 absorption in a bubbling reactor using limestone suspensions publication-title: Chem Eng Sci doi: 10.1016/S0009-2509(05)80038-7 – volume: 44 start-page: 866 issue: 4 year: 2011 ident: 10.1016/j.energy.2018.01.175_bib30 article-title: Fast modified global k-means algorithm for incremental cluster construction publication-title: Pattern Recogn doi: 10.1016/j.patcog.2010.10.018 – volume: 28 start-page: 304 issue: 2 year: 2014 ident: 10.1016/j.energy.2018.01.175_bib23 article-title: Adaptive evolutionary clustering publication-title: Data Min Knowl Discov doi: 10.1007/s10618-012-0302-x – volume: 45 start-page: 1466 issue: 4 year: 2006 ident: 10.1016/j.energy.2018.01.175_bib19 article-title: Pilot-plant technical assessment of wet flue gas desulfurization using limestone publication-title: Ind Eng Chem Res doi: 10.1021/ie051316o – volume: 36 start-page: 8691 issue: 4 year: 2009 ident: 10.1016/j.energy.2018.01.175_bib37 article-title: A new approach for function approximation in boiler combustion optimization based on modified structural AOSVR publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2008.12.008 – volume: 8 start-page: 338 issue: 3 year: 1965 ident: 10.1016/j.energy.2018.01.175_bib25 article-title: FUZZY SETS publication-title: Inf Control doi: 10.1016/S0019-9958(65)90241-X – volume: 170 start-page: 578 issue: 2 year: 2006 ident: 10.1016/j.energy.2018.01.175_bib31 article-title: A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2004.06.014 – volume: 37 start-page: 2792 issue: 7 year: 1998 ident: 10.1016/j.energy.2018.01.175_bib34 article-title: Experimental investigation and modeling of a wet flue gas desulfurization pilot plant publication-title: Ind Eng Chem Res doi: 10.1021/ie9709446 – volume: 50 start-page: 270 issue: 5 year: 2017 ident: 10.1016/j.energy.2018.01.175_bib32 article-title: Optimized fuzzy C-means clustering algorithm for the interpretation of the near-infrared spectra of rocks publication-title: Spectrosc Lett doi: 10.1080/00387010.2017.1317271 – volume: 34 start-page: 143 issue: 1–3 year: 2004 ident: 10.1016/j.energy.2018.01.175_bib5 article-title: Modeling flue gas desulfurization by spray-dry absorption publication-title: Separ Purif Technol doi: 10.1016/S1383-5866(03)00188-6 – volume: 92 start-page: 1257 issue: 7 year: 2014 ident: 10.1016/j.energy.2018.01.175_bib14 article-title: Optimal design of a wet-type desulphurization absorber by the numerical simulation method publication-title: Chem Eng Res Des doi: 10.1016/j.cherd.2013.10.026 – volume: 65 start-page: 487 issue: 1 year: 2010 ident: 10.1016/j.energy.2018.01.175_bib4 article-title: Simultaneous dry reforming and desulfurization of biomethane with non-equilibrium electric discharge at ambient temperature publication-title: Chem Eng Sci doi: 10.1016/j.ces.2009.06.011 – start-page: 1023 year: 2011 ident: 10.1016/j.energy.2018.01.175_bib7 article-title: Effect of humidification water on semi-dry flue gas desulfurization – volume: 116 start-page: 1454 year: 2016 ident: 10.1016/j.energy.2018.01.175_bib35 article-title: Unburned carbon from lignite fly ash as an adsorbent for SO2 removal publication-title: Energy doi: 10.1016/j.energy.2016.02.143 – volume: 262 start-page: 268 year: 2015 ident: 10.1016/j.energy.2018.01.175_bib36 article-title: Synergistic effect of the parameters affecting wet flue gas desulfurization using magnesium oxides by-products publication-title: Chem Eng J doi: 10.1016/j.cej.2014.09.085 – volume: 87 start-page: 1505 issue: 5 year: 2010 ident: 10.1016/j.energy.2018.01.175_bib20 article-title: Experimental study on desulfurization efficiency and gas-liquid mass transfer in a new liquid-screen desulfurization system publication-title: Appl Energy doi: 10.1016/j.apenergy.2009.09.007 – volume: 138 start-page: 30 year: 2015 ident: 10.1016/j.energy.2018.01.175_bib12 article-title: Transposition of wet flue gas desulfurization using MgO by-products: from laboratory discontinuous batch reactor to pilot scrubber publication-title: Fuel Process Technol doi: 10.1016/j.fuproc.2015.05.002 – volume: 39 start-page: 8022 issue: 9 year: 2012 ident: 10.1016/j.energy.2018.01.175_bib29 article-title: A cluster centers initialization method for clustering categorical data publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.01.131 – start-page: 363 year: 2013 ident: 10.1016/j.energy.2018.01.175_bib2 article-title: Experimental study on fluid mechanics of nozzle and ammonia desulfurization of iron and steel sintering furnace – volume: 77 start-page: 217 issue: 4 year: 2005 ident: 10.1016/j.energy.2018.01.175_bib17 article-title: A comparative study of three turbulence-closure models for the hydrocyclone problem publication-title: Int J Miner Process doi: 10.1016/j.minpro.2005.06.007 – volume: 75 start-page: 257 issue: 3–4 year: 2003 ident: 10.1016/j.energy.2018.01.175_bib3 article-title: Flue-gas desulphurisation products from Polish coal-fired power-plants publication-title: Appl Energy doi: 10.1016/S0306-2619(03)00039-4 – start-page: 506 year: 2017 ident: 10.1016/j.energy.2018.01.175_bib26 article-title: The algorithm expansion for starting point determination using clustering algorithm method with fuzzy C-Means |
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| SubjectTerms | Air pollution control algorithms byproducts Calcium carbonate case studies Clustering Computer simulation Data mining Data processing Desulfurization Desulfurizing EKFCM Electric power generation Emissions Emissions control Entropy Flue gas Flue gas desulfurization Gypsum Gypsum slurry quality industry Monitoring Performance indices Pollution control equipment Power plants Slurries Sub-TDFO strategy Sulfur Sulfur dioxide WFGD |
| Title | A new approach for clustering in desulfurization system based on modified framework for gypsum slurry quality monitoring |
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