Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/17861
Título: Modeling and optimization of the pyrolysis oil production process from polypropylene for the production of aviation kerosene.
Autor(es): Santos, Heraclito Alexandre dos
Santos, Igor José Boggione
Quintão, Cristiane Medina Finzi
Knupp, Vagner Fernandes
Lofrano, Renata Carolina Zanetti
Oliveira, Eliane Cristina de
Samanamud, Gisella Lamas
Amaral, Mateus de Souza
França, Alexandre Bôscaro
Pereira, Mariana Arruda
Silva, Matheus Teixeira Araújo
Loures, Carla Cristina Almeida
Carneiro, Mozart dos Santos
Ponciano, Jéssica Amaral Pereira
Naves, Luzia Lima Rezende
Naves, Fabiano Luiz
Palavras-chave: Pyrolysis
Polypropylene
Optimization
Data do documento: 2022
Referência: SANTOS, H. A. dos et al. Modeling and optimization of the pyrolysis oil production process from polypropylene for the production of aviation kerosene. Clean Technologies and Environmental Policy, v. 25, p. 1385–1396, 2022. Disponível em: <https://link.springer.com/article/10.1007/s10098-022-02450-7>. Acesso em: 01 ago. 2023.
Resumo: One of the greatest challenges in the world is in the fnal disposal of plastics in order to reduce the efect of its polluting potential. Thus, the application of pyrolysis processes in generating products of interest such as fuel oils can be part of the solution. In addition to reducing greenhouse gas emissions to the atmosphere, oil can enter the supply chain after the cracking process in petrochemical industries. In this context, this work used statistical modeling of the response surface linked to the normal boundary intersection algorithm, aiming at a higher yield of oil production and major selectivity of recycled polypropylene pyrolysis. From the analysis of the mechanisms proposed in the literature with the modeling and optimization in this work, it was possible, from a kaolin mass of 9.12 g and a heating ramp of 19.37 °C/min, to obtain higher percentages of aviation kerosene as well as a satisfactory performance.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/17861
Link para o artigo: https://link.springer.com/article/10.1007/s10098-022-02450-7
DOI: https://doi.org/10.1007/s10098-022-02450-7
ISSN: 1618-9558
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