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Data for: Using green-hydrogen and bioethanol fuels in internal combustion engines to reduce emissions

Name: Data for: Using green-hydrogen and bioethanol fuels in internal combustion engines to reduce emissions
Creator: Becerra-Ruiz, J
Keywords: Alternative Fuel, GHG Emissions, 13. Climate action, 11. Sustainability, Bioethanol, Interdisciplinary sciences, 7. Clean energy, Hydrogen

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020Embargo end date: 16 Oct 2019Publisher:Mendeley

Authors: Becerra-Ruiz, J;

doi: 10.17632/5tdf2mx6ht.1 , 10.17632/5tdf2mx6ht

Data for: Using green-hydrogen and bioethanol fuels in internal combustion engines to reduce emissions

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Abstract

In this work is analyzed the Greenhouse Gases production (GHG) by combustion of binary and ternary mixtures, in a 5500 W portable engine generator of alternating current ; connecting to the generator three electric charges as a dynamic brake. It were measured the decrements in the production of CO, HC and NOx of up to 99%, 93% and 67%, respectively, as well as an increment in CO2 up to 35%; in addition, reduction in uptake fuel of more than 36%. Therefore, the reduction of GHG emissions will improve the quality of air in the cities, at the same time the quality of people’s health.

Keywords

Alternative Fuel, GHG Emissions, Bioethanol, Interdisciplinary sciences, Hydrogen

Impact byBIP!

	citations 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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average