Energy Optimization of Sugarcane Bagasse by Oxidative Torrefaction: A Multiple Linear Regression Method

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorElectromechanical Engineering Program-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Cordoba-
Autor(es): dc.creatorRacero-Galaraga, Diego A.-
Autor(es): dc.creatorSofan-German, Stiven Javier-
Autor(es): dc.creatorArteaga-Ramos, Juan P.-
Autor(es): dc.creatorMendoza-Fandiño, Jorge M.-
Data de aceite: dc.date.accessioned2025-08-21T20:42:01Z-
Data de disponibilização: dc.date.available2025-08-21T20:42:01Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.14716/ijtech.v15i6.7155-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/299349-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/299349-
Descrição: dc.descriptionBiomass is widely recognized as a promising substitute for fossil fuels due to zero CO2 emissions, global availability, storage capacity, and immediate response to demand. Therefore, this research aimed to develop and apply a multiple linear regression model to predict the calorific value in oxidative torrefied sugarcane bagasse. An innovative method was used to enhance the efficiency of torrefaction process, focusing on predicting the calorific value through temperature and oxygen concentration. Detailed analyses of collected data were carried out in the RStudio software environment, which showed the capacity of the model to explain calorific value of sugarcane bagasse, achieving a coefficient of determination R2 of 88.29%. The results showed that the model enhanced the understanding of biomass torrefaction processes and provided valuable tools for optimization, promoting more efficient and sustainable practices in energy generation from agricultural residues such as sugarcane bagasse. The novelty of this research was in presenting a specific and rigorous method to address a significant challenge in the field of renewable energy, offering tangible results that could have a significant impact on the industry.-
Descrição: dc.descriptionUniversidade Federal de São Carlos - Campus de Sorocaba Programa de Pós-Graduação em Planejamento e Uso de Recursos Renováveis Rodovia João Leme dos Santos (SP-264), Itinga District, Sao Paulo-
Descrição: dc.descriptionUniversity of Sinú-Elías Bechara Zainúm Electromechanical Engineering Program, Cra. 1w No. 38-153, Barrio Juan XXIII-
Descrição: dc.descriptionUniversidade Estadual paulista - Campus de Guaratingueta Programa de Pós-Graduação em engenharia, Av. Dr. Ariberto Pereira da Cunha, 333 - Pedregulho, SP-
Descrição: dc.descriptionUniversity of Cordoba Department of Mechanical Engineering, Cra. 6 #77-305-
Descrição: dc.descriptionUniversidade Estadual paulista - Campus de Guaratingueta Programa de Pós-Graduação em engenharia, Av. Dr. Ariberto Pereira da Cunha, 333 - Pedregulho, SP-
Formato: dc.format1697-1711-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Technology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBiomass-
Palavras-chave: dc.subjectMultiple linear regression model-
Palavras-chave: dc.subjectRStudio-
Palavras-chave: dc.subjectSugarcane bagasse-
Palavras-chave: dc.subjectTorrefaction-
Título: dc.titleEnergy Optimization of Sugarcane Bagasse by Oxidative Torrefaction: A Multiple Linear Regression Method-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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