Framework Based on Artificial Intelligence to Increase Industrial Bioethanol Production-Reference-Cited by-同舟云学术

Framework Based on Artificial Intelligence to Increase Industrial Bioethanol Production

Published:2020-03-23 Issue:4 Volume:34 Page:4670-4677
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Pereira Rauber D.¹^ORCID,Badino Alberto C.¹^ORCID,Cruz Antonio J. G.¹^ORCID

Affiliation:

1. Graduate Program of Chemical Engineering, Federal University of São Carlos, 13565-905 São Carlos, SP, Brazil

Funder

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Funda??o de Amparo ? Pesquisa do Estado de S?o Paulo

Coordena??o de Aperfei?oamento de Pessoal de N?vel 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.0c00033

Reference42 articles.

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2. Empresa de Pesquisa Energética. Plano Decenal de Expansão de Energia 2026, 2017. Brasil, Ministério de Minas e Energia. http://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-40/PDE2026.pdf (accessed May 15, 2019).

3. Annual World Fuel Ethanol Production, 2018. Renewable Fuels Association. https://ethanolrfa.org/statistics/annual-ethanol-production/ (accessed May 15, 2019).

4. Brazilian sugarcane ethanol as an expandable green alternative to crude oil use

5. Battery electric vehicles, hydrogen fuel cells and biofuels. Which will be the winner?

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