Artificial neural network method modeling of microwave-assisted esterification of PFAD over mesoporous TiO2‒ZnO catalyst-Reference-Cited by-同舟云学术

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Artificial neural network method modeling of microwave-assisted esterification of PFAD over mesoporous TiO2‒ZnO catalyst

Published:2022-03 Issue: Volume:187 Page:760-773
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Soltani Soroush,Roodbar Shojaei Taha,Khanian Nasrin,Shean Yaw Choong Thomas,Asim Nilofar,Zhao Yue

Funder

Universiti Putra Malaysia

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference65 articles.

1. A novel method for the synthesis of biodiesel from soybean oil and urea, Comptes;Jaffar Al-Mulla;Rendus. Chim.,2015

2. Heterogeneous basic catalysts for biodiesel production;de Lima;Catal. Sci. Technol.,2016

3. Biodiesel production from used cooking oil: a review;Mandolesi de Araújo;Renew. Sustain. Energy Rev.,2013

4. Assessment of algae biodiesel viability based on the area requirement in the European Union, United States and Brazil;Speranza;Renew. Energy,2015

5. Chapter Sixteen - Mesoporous Catalysts for Biodiesel Production: A New Approach;Soltani,2017

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3. Developing the novel model for kinetics and mass transfer in sun-light-driven photodegradation of malachite green over Bi2O2CO3/CuBi2O4 (50:50) flower-like nanophotocatalyst: Machine and deep-learning algorithms;Process Safety and Environmental Protection;2024-04

4. Review of microwave pyrolysis of sludge to produce high quality biogas: Multi-perspectives process optimization and critical issues proposal;Renewable and Sustainable Energy Reviews;2023-03

5. Application of machine learning technologies in biodiesel production process—A review;Frontiers in Energy Research;2023-02-10

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