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Martín, C., Moure, A., Martín, G., Carrillo, E., Domínguez, H. and Parajó, J.C. (2010) Fractional Characterisation of Jatropha, Neem, Moringa, Trisperma, Castor and Candlenut Seeds as Potential Feedstocks for Biodiesel Production in Cuba. Biomass and Bioenergy, 34, 533-538.
https://doi.org/10.1016/j.biombioe.2009.12.019

has been cited by the following article:

• TITLE: Exergetic Efficiencies Evaluation of Flows and Operations on the Mechanical Extraction Process of Jatropha curcas Oil

  AUTHORS: Rolf Nirahina Rakoto Harifidy, Hery Tiana Rakotondramiarana

  KEYWORDS: Jatropha Oil, Extraction Process, Exergetic Efficiency, Pretreatment, Mass Exergy

  JOURNAL NAME: Open Journal of Energy Efficiency, Vol.8 No.1, January 18, 2019

  ABSTRACT: Jatropha curcas oil is one of the most promising renewable energy sources for rural areas due to its ease of production, which can be used as an alternative to diesel and fuel oil. The development of sustainable energy has been the issue of the discussion about biofuel production given the considerable consumption amount of fossil fuel during the transformation process. And any production process that consumes a lot of energy records a significant destruction of useful energy, which leads to thermodynamic inefficiencies of the process. Besides, the focus on environmental safety is gradually shifting towards energy efficiency in industrial processing. Exergetic analysis is an effective tool for measuring the performance of a production process since exergy is a quantity that measures energy quality. This study assesses the scale of resource degradation in Jatropha oil mechanical extraction processes and finds improving possible pretreatments options for more efficient production. Data from experiments combined with existing databases have permitted to establish the exergy flow balance at each stage of production. The process exergetic yield varies from 29.85% to 35.41% according to the chosen pretreatment process. Mass exergy accounts for 67% of incoming flows and, for outgoing flows, more than 60% is associated with the mass exergy generated by the process waste. The uncertainties analysis on the results was used to validate model results, and to visualize the minimum values for the most unfavorable cases and the maximum values when all the parameters are at their optimum values.