LAPSE:2019.0793
Published Article
LAPSE:2019.0793
An Improvement in Biodiesel Production from Waste Cooking Oil by Applying Thought Multi-Response Surface Methodology Using Desirability Functions
Marina Corral Bobadilla, Rubén Lostado Lorza, Rubén Escribano García, Fátima Somovilla Gómez, Eliseo P. Vergara González
July 26, 2019
The exhaustion of natural resources has increased petroleum prices and the environmental impact of oil has stimulated the search for an alternative source of energy such as biodiesel. Waste cooking oil is a potential replacement for vegetable oils in the production of biodiesel. Biodiesel is synthesized by direct transesterification of vegetable oils, which is controlled by several inputs or process variables, including the dosage of catalyst, process temperature, mixing speed, mixing time, humidity and impurities of waste cooking oil that was studied in this case. Yield, turbidity, density, viscosity and higher heating value are considered as outputs. This paper used multi-response surface methodology (MRS) with desirability functions to find the best combination of input variables used in the transesterification reactions to improve the production of biodiesel. In this case, several biodiesel optimization scenarios have been proposed. They are based on a desire to improve the biodiesel yield and the higher heating value, while decreasing the viscosity, density and turbidity. The results demonstrated that, although waste cooking oil was collected from various sources, the dosage of catalyst is one of the most important variables in the yield of biodiesel production, whereas the viscosity obtained was similar in all samples of the biodiesel that was studied.
Keywords
biodiesel, Catalysis, multi-response surface methodology, waste cooking oil
Subject
Suggested Citation
Corral Bobadilla M, Lostado Lorza R, Escribano García R, Somovilla Gómez F, Vergara González EP. An Improvement in Biodiesel Production from Waste Cooking Oil by Applying Thought Multi-Response Surface Methodology Using Desirability Functions. (2019). LAPSE:2019.0793
Author Affiliations
Corral Bobadilla M: Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain [ORCID]
Lostado Lorza R: Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain [ORCID]
Escribano García R: Built Environment and Engineering, Leeds Beckett University, Leeds LS1 3HB, UK
Somovilla Gómez F: Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain
Vergara González EP: Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, La Rioja, Spain
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E130
Year
2017
Publication Date
2017-01-21
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10010130, Publication Type: Journal Article
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LAPSE:2019.0793
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doi:10.3390/en10010130
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Jul 26, 2019
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CC BY 4.0
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Jul 26, 2019
 
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Jul 26, 2019
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Original Submitter
Calvin Tsay
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