Thermogravimetric analyzer was applied to analyze 22 solid materials and their mixtures at a heating rate of 10 K min−1 under nitrogen atmosphere. A grey-relation-based method for thermogravimetric (TG) data analysis was proposed, which introduced a mass loss vector (MLV) as numeric form of TG curves and calculated grey relations between MLVs of different materials as criterion. The method was applied to TG data, exemplifying its applications in classification of some solid wastes, simulation of biomass based on three compositions and interaction analysis of two materials. The results indicated that paper category could be represented by cellulose below 673 K while textile category could be represented by cellulose and polyethylene terephthalate (PET). 12 kinds of biomass could be simulated with all relation values larger than 0.92 between experimental and calculated data. Influences of interaction between PVC, paper and poplar wood were quantitatively analyzed, which showed less influence between paper and poplar than PVC and poplar.
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Liao HQ, Yao Q (2001) Study on combustion properties of municipal solid waste by TGA. J Fuel Chem Technol 29:140–143
2.
Pu K, Wang J, Zhang L (2009) Combustion characteristics of combustible of municipal solid waste analyzed by thermogravimetry. J Chongqing Univ 29:598–603
3.
Li B, Yan JH, Shang N, Chi Y, Jiang XG (1998) Study on combustion characteristics of municipal solid waste(MSW). J Fuel Chem Technol 26:564–568
4.
Hu RZ (2008) Thermal analysis kinetics. Science Press, Beijing
5.
Stenseng M, Jensen A, Dam-Johansen K (2001) Investigation of biomass pyrolysis by thermogravimetric analysis and differential scanning calorimetry. J Anal Appl Pyrolysis 58:765–780
CrossRef
6.
Seo DK, Park SS, Hwang J, Yu TU (2010) Study of the pyrolysis of biomass using thermo-gravimetric analysis (TGA) and concentration measurements of the evolved species. J Anal Appl Pyrolysis 89:66–73
CrossRef
7.
Shen DK, Gu S, Luo KH, Bridgwater AV, Fang MX (2009) Kinetic study on thermal decomposition of woods in oxidative environment. Fuel 88:1024–1030
CrossRef
8.
Jin Y, Yan J, Cen K (2004) Study on the comprehensive combustion kinetics of MSW. J Zhejiang Univ SCI 5:283–289
CrossRefMATH
9.
Wu CH, Chang CY, Lin JP, Hwang JY (1997) Thermal treatment of coated printing and writing paper in MSW: pyrolysis kinetics. Fuel 76:1151–1157
CrossRef
10.
Wu CH, Chang CY, Hwang JY, Shih SM, Chen LW, Chang FW et al (1994) Pyrolysis kinetics of tissue paper of MSW. J Chin Inst Eng 17:659–669
CrossRef
11.
Shen X, Yan J, Bai C, Li X, Chi Y, Ni M et al (2006) Optimization and comparison of pyrolysis kinetic model for typical MSW components. J Ind Eng Chem 57:2433–2438
12.
Hyuk I, Gyu K (2017) Characterization of dried sewage sludge for co-firing in coal power plant by using thermal gravimetric analysis. J Mater Cycles Waste Manag 19(3):1044–1051
CrossRef
13.
Kuniyasu K, Kazutada M, Kiyoshi M (2002) Studies on the pyrolysis behavior of gasification and melting systems for municipal solid wastes. J Mater Cycles Waste Manag 4(3):102–110
14.
Daegi K, Kunio Y, Kwanyong L, Ki YP (2015) Investigation of the combustion characteristics of municipal solid wastes and their hydrothermally treated products via thermogravimetric analysis. J Mater Cycles Waste Manag 17(2):258–265
CrossRef
15.
Liu SF, Dang YG, Fang ZG (2008) The grey system theory and application. Science Press, Beijing
16.
Wen JM, Chi Y, Jin YQ, Yan JH, Ni MJ, Cen KF (2005) Experimental study on msw pyrolysis and its neural networks prediction model. Proc Chin Soc Electr Eng 25:156–160
17.
Wang XS (2010) The research of MSW pyrolysis and fluidized-bed gasification (dissertation). Zhejiang University, China
18.
Seng B, Kaneko H, Hirayama K, Katayama-Hirayama K (2011) Municipal solid waste management in Phnom Penh, capital city of Cambodia. Waste Manag Res 29:491–500
CrossRef
19.
Yang HP, Yan R, Chen HP, Lee DH, Zheng CG (2007) Characteristics of hemicellulose, cellulose and lignin pyrolysis. Fuel 86:1781–1788
CrossRef
20.
Barneto AG, Carmona JA, Alfonso J, Serrano RS (2010) Simulation of the thermogravimetry analysis of three non-wood pulps. Biores Technol 101:3220–3229
CrossRef
21.
Qu T, Guo W, Shen L, Xiao J, Zhao K (2011) Experimental study of biomass pyrolysis based on three major components: hemicellulose, cellulose, and lignin. Ind Eng Chem Res 50:10424–10433
CrossRef
22.
Huang YF, Kuan WH, Chiueh PT, Lo SL (2011) Pyrolysis of biomass by thermal analysis-mass spectrometry (TA-MS). Biores Technol 102:3527–3534
CrossRef
23.
Jakab E, Blazso M, Faix O (2001) Thermal decomposition of mixtures of vinyl polymers and lignocellulosic materials. J Anal Appl Pyrolysis 58:49–62
CrossRef
24.
Ye JL, Cao Q, Zhao YS (2008) Co-pyrolysis of polypropylene and biomass. Energy Sourc Part A 30:1689–1697
CrossRef
25.
Brebu M, Ucar S, Vasile C, Yanik J (2010) Co-pyrolysis of pine cone with synthetic polymers. Fuel 89:1911–1918
CrossRef
26.
Sharypov VI, Marin N, Beregovtsova NG, Baryshnikov SV, Kuznetsov BN, Cebolla VL et al (2002) Co-pyrolysis of wood biomass and synthetic polymer mixtures. Part 1: influence of experimental conditions on the evolution of solids, liquids and gases. J Anal Appl Pyrolysis 64:15–28
CrossRef
Über diesen Artikel
Titel
A grey-relation-based method (GRM) for thermogravimetric (TG) data analysis
Autoren:
Yanqiu Long Qinghai Li Hui Zhou Aihong Meng Yanguo Zhang
Die B2B-Firmensuche für Industrie und Wirtschaft: Kostenfrei in Firmenprofilen nach Lieferanten, Herstellern, Dienstleistern und Händlern recherchieren.
Die Entwicklung des mitteleuropäischen Energiesystems und insbesondere die Weiterentwicklung der Energieinfrastruktur sind konfrontiert mit einer stetig steigenden Diversität an Herausforderungen, aber auch mit einer zunehmenden Komplexität in den Lösungsoptionen. Vor diesem Hintergrund steht die Weiterentwicklung von Hybridnetzen symbolisch für das ganze sich in einer Umbruchsphase befindliche Energiesystem: denn der Notwendigkeit einer Schaffung und Bildung der Hybridnetze aus systemischer und volkswirtschaftlicher Perspektive steht sozusagen eine Komplexitätsfalle gegenüber, mit der die Branche in der Vergangenheit in dieser Intensität nicht konfrontiert war. Jetzt gratis downloaden!
