Drying kinetic analysis of municipal solid waste using modified page model and pattern search method


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.

Publication DOI: https://doi.org/10.1007/s12649-016-9570-9
Dataset DOI: https://doi.org/10.17036/b7d3f2c5-4ca0-486b-9ba0-e848689da885
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry
College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/s12649-016-9570-9 Funding: IRSES ECOFUEL programme (FP7-PEOPLE-2009-IRSES Grant 246772); and EPSRC Supergen Bioenergy Challenge ‘‘PyroAD’’ Project (EP/K036793/1).
Uncontrolled Keywords: municipal solid waste,drying kinetics,pattern search method,drying activation energy,thermogravimetric technique,Environmental Engineering,Renewable Energy, Sustainability and the Environment,Waste Management and Disposal
Publication ISSN: 1877-2641
Last Modified: 12 Jun 2024 07:13
Date Deposited: 31 Aug 2016 12:30
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2017-03
Published Online Date: 2016-05-11
Accepted Date: 2016-05-06
Submitted Date: 2015-12-10
Authors: Cai, Junmeng
Yang, Yang (ORCID Profile 0000-0003-2075-3803)
Cai, Wenfei
Bridgwater, Tony (ORCID Profile 0000-0001-7362-6205)



Version: Accepted Version

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