Predicting Cetane Index, Flash Point, and Content Sulfur of Diesel–Biodiesel Blend Using an Artificial Neural Network Model-Reference-Cited by-同舟云学术

Predicting Cetane Index, Flash Point, and Content Sulfur of Diesel–Biodiesel Blend Using an Artificial Neural Network Model

Published:2017-03-30 Issue:4 Volume:31 Page:3913-3920
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

de Oliveira Fernanda M.¹,de Carvalho Luciene S.¹^ORCID,Teixeira Leonardo S. G.²,Fontes Cristiano H.²,Lima Kássio M. G.¹,Câmara Anne B. F.¹,Araújo Heloise O. M.¹,Sales Rafael V.¹

Affiliation:

1. Institute of Chemistry, Federal University of Rio Grande do Norte, Natal 59078-900, Brazil

2. Institute of Chemistry, Federal University of Bahia, Salvador 40170-115, Brazil

Funder

Universidade Federal do Rio Grande do Norte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.7b00282

Reference41 articles.

1. Agência Nacional do Petróleo, Gás Natural e Biocombustíveis. Resolução ANP No. 50,Dec. 23, 2013, Brazil; (2013, http://www.anp.gov.br[accessed Dec. 22, 2015].

2. Agência Nacional do Petróleo, Gás Natural e Biocombustíveis. Resolução ANP No. 45,Dec. 20, 2012, Brazil; (2012, http://www.anp.gov.br[accessed Dec. 20, 2015].

3. Agência Nacional do Petróleo, Gás Natural e Biocombustíveis. Diretório estatísticobrasileiro de petróleo, gás natural e biocombustíveis, (2014, http://www.anp.gov.br/?pg=71976.

4. Standard Test Method for Flash Point by Pensky-Martens Closed Cup Tester, ASTM D93;ASTM International, 2002.

5. Standard Test Method for Cetane Number of Diesel Fuel Oil, ASTM D613;ASTM International, 2015.

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