The case for biojet fuel from bioethanol in Brazil: an optimization-based analysis using historical market data (2025)
- Authors:
- USP affiliated authors: MACHADO, PEDRO GERBER - EP ; RIBEIRO, CELMA DE OLIVEIRA - EP ; NASCIMENTO, CLÁUDIO AUGUSTO OLLER DO - EP
- Unidade: EP
- DOI: 10.1021/acs.iecr.4c03039
- Subjects: BIOCOMBUSTÍVEIS; AVIAÇÃO; GASES; EFEITO ESTUFA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2025
- Source:
- Título: Industrial & Engineering Chemistry
- ISSN: 1520-5045
- Volume/Número/Paginação/Ano: v. 64, n. 8, p. 4410−4424, 2025
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
WATSON, Madelynn J. et al. The case for biojet fuel from bioethanol in Brazil: an optimization-based analysis using historical market data. Industrial & Engineering Chemistry, v. 64, n. 8, p. 4410−4424, 2025Tradução . . Disponível em: https://doi.org/10.1021/acs.iecr.4c03039. Acesso em: 01 abr. 2026. -
APA
Watson, M. J., Silva, A. V., Machado, P. G., Ribeiro, C., Nascimento, C. A. O. do, & Dowling, A. W. (2025). The case for biojet fuel from bioethanol in Brazil: an optimization-based analysis using historical market data. Industrial & Engineering Chemistry, 64( 8), 4410−4424. doi:10.1021/acs.iecr.4c03039 -
NLM
Watson MJ, Silva AV, Machado PG, Ribeiro C, Nascimento CAO do, Dowling AW. The case for biojet fuel from bioethanol in Brazil: an optimization-based analysis using historical market data [Internet]. Industrial & Engineering Chemistry. 2025 ; 64( 8): 4410−4424.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1021/acs.iecr.4c03039 -
Vancouver
Watson MJ, Silva AV, Machado PG, Ribeiro C, Nascimento CAO do, Dowling AW. The case for biojet fuel from bioethanol in Brazil: an optimization-based analysis using historical market data [Internet]. Industrial & Engineering Chemistry. 2025 ; 64( 8): 4410−4424.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1021/acs.iecr.4c03039 - Risk analysis in energy projects using bayesian networks: a systematic review
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