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Assessment of Selecting the Most Appropriate Oilseed for Biodiesel Production Using the COPRAS Method

Assessment of Selecting the Most Appropriate Oilseed for Biodiesel Production Using the COPRAS Method

Abstract

Diesel resources are valuable both industrially and economically around the world. However, considerations including the diminishing supply of fossil energies and the rise in greenhouse gas emissions have accelerated research into greener alternative fuels globally. Presently, emerging nations are having difficulty supplying their expanding energy needs due to the depletion of traditional energy sources. It is essential to increase the variety of energy supplies and lessen reliance on fossil fuels by utilising substitutes to address this challenge. One of these alternate sources is biomass, which may be used to produce fluid biofuels like "bioethanol and biodiesel"."The fuel quality, engine performance characteristics, and emission outcomes of biodiesel" are the main criteria that have changed as a result of variations in the physicochemical features of the oilseeds ("soybean, cottonseed, rapeseed, and camelina"). To choose the best energy crop, these parameters were assessed using "multi-criteria decision-making (MCDM) methodologies". “COPRAS” has been used to determine the importance of each parameter and the order of the studied alternatives for this objective."Rapeseed, soybean, cottonseed, and camelina biodiesel" are respectively the top four oilseed substitutes for the manufacturing of biodiesel, according to the analysis's findings.According to the findings; "rapeseed" is the most suited oilseed for growth as an energy commodity, whereas "camelina" is the least favored option for making biodiesel.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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