The green fuel from carbon waste: optimization and product selectivity model studies

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Abstract

Increase in greenhouse gases, has made scientists to substitute alternative fuels for fossil fuels. Nowadays, converting biomass into liquid by Fischer–Tropsch synthesis is a major concern for alternative fuels (gasoline, diesel etc.). Selectivity of Fischer–Tropsch hydrocarbon product (green fuel) is an important issue. In this study, the experimental data has been obtained from three factors; temperature, H2/CO ratio and pressure in the fixed bed micro reactor. T = 543–618 (K), P = 3–10 (bar), H2/CO = 1–2 and space velocity = 4500 (1/h) were the reactor conditions. The results of product modeling for methane (CH4), ethane (C2H6), ethylene (C2H4) and CO conversion with experimental data were compared. The effective parameters and the interaction between them were investigated in the model. H2/CO ratio and pressure and interaction between pressure and H2/CO in ethane selectivity model and CO conversion and interaction between temperature and H2/CO ratio in methane selectivity model and ethylene gave the best results. To determine the optimal conditions for light hydrocarbons, ANOVA and RSM were employed. Finally, products optimization was done and results were concluded.

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Atashi, H., Rezaeian, F., & Mirzaei, A. A. (2018). The green fuel from carbon waste: optimization and product selectivity model studies. International Journal of Coal Science and Technology, 5(3), 399–410. https://doi.org/10.1007/s40789-018-0211-8

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