Multi-objective optimization of bioethanol reactive dehydration processes using genetic algorithms-Reference-Cited by-同舟云学术

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Multi-objective optimization of bioethanol reactive dehydration processes using genetic algorithms

Published:2021-01-12 Issue:18 Volume:56 Page:3167-3182
ISSN:0149-6395
Container-title:Separation Science and Technology
language:en
Short-container-title:Separation Science and Technology

Author:

Guzmán Martínez Carlos¹,Nápoles Rivera Fabricio¹^ORCID,Castro-Montoya Agustín¹^ORCID

Affiliation:

1. Facultad de Ingeniería Química, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, México

Funder

conacyt

Publisher

Informa UK Limited

Subject

Filtration and Separation,Process Chemistry and Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/01496395.2020.1870140

Reference47 articles.

1. Review of Technological Advances in Bioethanol Recovery and Dehydration

2. Synthesis, Design, and Rigorous Simulation of the Bioethanol Recovery and Dehydration from an Actual Lignocellulosic Fermentation Broth

3. Challenges and opportunities in improving the production of bio-ethanol

4. Evaluation of process configurations for second generation integrated with first generation bioethanol production from sugarcane

5. Leveraging the benefits of ethanol in advanced engine-fuel systems

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