What is it about?
* A thermo-kinetic study was conducted on high-ash sewage sludge (HASS) to understand the pyrolysis mechanisms and kinetics. * The study used model-free methods to estimate the kinetics of the pyrolysis process as a function of conversion. * The pyrolysis zone of HASS was divided into three zones based on thermogravimetric analysis. * Different kinetic models (Friedman, FWO, KAS, and Popescu) were applied, and their activation energy (E) values ranged from 10.6 to 306.2 kJ/mol. * The DH and DG values predicted by the FWO, KAS, and Popescu methods were in good agreement and ranged from 41 to 236 kJ/mol and 53 to 304 kJ/mol, respectively. * The results of this study provide valuable insights for promoting pilot-scale high-ash sewage sludge pyrolysis processes.
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Why is it important?
* This study is unique as it applies artificial neural network (ANN) for the first time to analyze the pyrolysis process of high-ash sewage sludge (HASS). * The use of model-free methods to estimate the kinetics of the pyrolysis process is another unique aspect of this work. * The study provides valuable insights into the pyrolysis mechanisms, kinetics, and thermogravimetric analysis of HASS, which can contribute to the development of energy production methods from solid waste in wastewater treatment facilities. * The results of this study can be used as a reference to promote pilot-scale high-ash sewage sludge pyrolysis processes, making it relevant and timely for researchers and practitioners in the field. * The unique application of ANN and model-free methods in this study can attract readers interested in innovative approaches to analyze pyrolysis processes. * The study's focus on high-ash sewage sludge and its potential for energy production from solid waste can be of interest to researchers and practitioners in the field of wastewater treatment and sustainable energy. * The insights provided by this study can contribute to the development of more efficient and sustainable methods for managing sewage sludge, which can attract readers interested in waste management and environmental sustainability.
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This page is a summary of: Pyrolysis of high-ash sewage sludge: Thermo-kinetic study using TGA and artificial neural networks, Fuel, December 2018, Elsevier,
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