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Drying Kinetic Analysis of Municipal Solid Waste Using Modified Page Model and Pattern Search Method

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Abstract

This work studied the drying kinetics of the organic fractions of municipal solid waste (MSW) samples with different initial moisture contents and presented a new method for determination of drying kinetic parameters. A series of drying experiments at different temperatures were performed by using a thermogravimetric technique. Based on the modified Page drying model and the general pattern search method, a new drying kinetic method was developed using multiple isothermal drying curves simultaneously. The new method fitted the experimental data more accurately than the traditional method. Drying kinetic behaviors under extrapolated conditions were also predicted and validated. The new method indicated that the drying activation energies for the samples with initial moisture contents of 31.1 and 17.2 % on wet basis were 25.97 and 24.73 kJ mol−1. These results are useful for drying process simulation and industrial dryer design. This new method can be also applied to determine the drying parameters of other materials with high reliability.

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Abbreviations

MR:

Moisture ratio

MSW:

Municipal solid waste

O.F.:

Objective function

RMSE:

Root mean square error

D 0 :

Arrhenius preexponential factor

D eff :

Effective moisture diffusivity

E a :

Drying activation energy

k :

Pseudo moisture diffusivity

k 0 :

Pseudo preexponential factor

L 0 :

Half-thickness of the slab

m :

Number of drying temperatures

n :

Exponent

n d :

Number of data points

R :

Universal gas constant

R2 :

Coefficient of determination

t :

Time

T :

Temperature

w 0 :

Initial moisture content

w e :

Equilibrium moisture content

w t :

Moisture content at any particular time

x :

Spatial dimension

λ :

Empirical constant

cal :

Calculated data

exp :

Experimental data

i :

The ith temperature

j :

The jth data point

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Acknowledgments

Junmeng Cai and Wenfei Cai would like to acknowledge the financial support from the IRSES ECOFUEL programme (FP7-PEOPLE-2009-IRSES Grant 246772). Yang Yang would like to acknowledge the support from the EPSRC Supergen Bioenergy Challenge “PyroAD” Project (EP/K036793/1).

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Authors and Affiliations

  1. Key Laboratory of Urban Agriculture (South) Ministry of Agriculture, Biomass Energy Engineering Research Centre, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China

    Junmeng Cai & Wenfei Cai

  2. Bioenergy Research Group, European Bioenergy Research Institute (EBRI), Aston University, Aston Triangle, Birmingham, B4 7ET, UK

    Junmeng Cai, Yang Yang & Tony Bridgwater

Authors
  1. Junmeng Cai
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  2. Yang Yang
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  3. Wenfei Cai
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Correspondence to Junmeng Cai.

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Appendix: MATLAB Code for the Objective Function (ObjectiveFunction.m)

Appendix: MATLAB Code for the Objective Function (ObjectiveFunction.m)

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Cai, J., Yang, Y., Cai, W. et al. Drying Kinetic Analysis of Municipal Solid Waste Using Modified Page Model and Pattern Search Method. Waste Biomass Valor 8, 301–312 (2017). https://doi.org/10.1007/s12649-016-9570-9

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  • DOI: https://doi.org/10.1007/s12649-016-9570-9

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