Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/89314
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Mechanikos inžinerija / Mechanical Engineering (T009)
Author(s): Janulevičius, Algirdas;Juostas, Antanas;Čiplienė, Aušra
Title: Estimation of carbon-oxide emissions of tractors during operation and correlation with the not-to-exceed zone
Is part of: Biosystems engineering. San Diego., Vol. 147 (2016)
Extent: p. 117-129
Date: 2016
Keywords: Tractor;Fuel consumption;Carbon oxide;Working mode;Operational time;Not-to-exceed zone
Abstract: The continuing rise in fossil fuel use significantly aggravates global warming problems because of carbon dioxide (CO2) emissions. This article shows a procedure to indirectly obtain data concerning the environmental pollution of a tractor by starting from direct data. The research confirms that qualitative indicators of a tractor's work for an operational period could be identified from a database compiled from engine processors. The average work rate of tractors measured under field conditions, together with the operating time in an engine's work mode, fuel consumption, and CO2 and CO emissions, have been measured. Correlations between CO2 and CO emissions and the NTE (not-to-exceed) zones during a tractor's operational period have also been determined. The study showed that the tractors worked, on average, 51% of the operational period with the engine working modes within the NTE zone. While working in these modes, the tractors consumed approximately 73.4% of the fuel used for the whole operational period, and emitted into the environment approximately 76% of the CO2 and 9.7% of the CO of the emissions of the whole operational period. It was found that there are possibilities to reduce fuel consumption and CO2 and CO emissions during tractor operational periods by improving the tractor's operation by choosing engine work modes in a more rational way
Internet: https://doi.org/10.1016/j.biosystemseng.2016.04.009
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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