What is it about?
* Agro-industrial residues, such as rice husk, bagasse, corncob, wheat straw, and wood chips, are considered as a rich source of energy. * In Pakistan, these residues are available in large quantities and at lower cost, making them favorable for bioenergy production. * The study investigated the thermo-kinetic behavior of five agro-industrial residues of Pakistani origin through a slow pyrolysis process. * The results showed that corncob degraded at a lower temperature and had the fastest degradation rate compared to other residues. * Based on the ascending order of activation energy, the residues can be classified as corncob > rice husk > wood chips > wheat straw > bagasse.
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Why is it important?
* The study focuses on assessing the bioenergy potential of agro-industrial residues in Pakistan, which is a unique aspect of the research. * The investigation of the thermo-kinetic behavior of these residues through a slow pyrolysis process provides valuable insights into their energy conversion characteristics. * The use of the Coats-Redfern method for determining the kinetics and thermodynamics of the pyrolysis process adds to the scientific understanding of bioenergy production from agro-industrial residues. * The classification of the residues based on their activation energy provides a useful framework for evaluating their suitability for bioenergy production. * The study's focus on agro-industrial residues in Pakistan and its assessment of their bioenergy potential may attract readers interested in sustainable energy solutions in the country. * The insights gained from the thermo-kinetic behavior analysis and the classification of residues can inform future research and decision-making in the field of bioenergy production. This may appeal to researchers, policymakers, and industry professionals involved in renewable energy development.
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This page is a summary of: Assessment of agro-industrial residues for bioenergy potential by investigating thermo-kinetic behavior in a slow pyrolysis process, Fuel, October 2020, Elsevier,
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