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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Khalideh Al bkoor Alrawashdeh1, Katarzyna Slopiecka2, Abdullah A. Alshorman1, Pietro Bartocci2 and Francesco Fantozzi3
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DOI:10.17265/1934-8975/2017.08.001
Affiliation(s)
1. Mechanical Engineering Department, Al-Balqa’ Applied University, Al-Huson University College, P.O. Box 50, Al-Huson 19117, Irbid, Jordan
2. CRB-Biomass Research Centre, University of Perugia, Via G. Duranti-Strada S. Lucia Canetola s.n., Perugia 06125, Italy
3. Department of Industrial Engineering, University of Perugia, Via G. Duranti 1/A4, Perugia 06125, Italy
ABSTRACT
Olive oil is an important
food industry product in Mediterranean countries. Large quantities of OWR (olive
waste residue) are generated during a two- or three-phase separation process.
This represents a major pollution problem for the industry and oil farms. The
OWR is a source of substances of high value and can be used as a low-cost renewable
energy. This work studied the behaviour of OWRs during the thermal
decomposition process. The experiments of the slow pyrolysis process of three
different waste olive products as olive pomace, olive tree pruning and olive kernels
were performed under a nitrogen atmosphere at different heating rates, using a
thermogravimetric balance. The samples were heated to a maximum temperature of
1,023 K, with four different heating rates of 2, 5, 10, 15 K/min. A comparison
of different isoconversional (Flynn-Wall-Ozawa), not-isoconversional
(Kissinger) model-free and model-fitting (Freeman-Carroll) methods to calculate
the activation energy and pre-exponential factor is presented. In the Kissinger
method the kinetic parameters were invariant for the whole pyrolysis process.
While, in the case of Freeman-Carroll, it differs with change of the heating
rate. The Flynn-Wall-Ozawa technique revealed the “not one-step” mechanism of
reaction that occurs during the slow pyrolysis process. The kinetic data
obtained in nitrogen atmosphere may provide more useful information for
engineers for a better and complete description of the pyrolysis process and
can be helpful to predict the kinetic model.
KEYWORDS
Thermogravimetry, kinetics, biomass, isoconversional methods, OWR, model-fitting methods, model-free methods.
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