Experimental techniques and numerical models to detect pollutant emission in the transport sector
| Autor: | Marseglia, Guido, Medaglia, Carlo Maria, Ortega Riejos, Francisco Alonso, Mesa López-Colmenar, Juan Antonio, Canca Ortiz, José David |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI), Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I, Universidad de Sevilla. FQM241: Grupo de Investigacion en Localización, Universidad de Sevilla. TEP216: Tecnologias de la Información e Ingeniería de Organizaciónn |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | 25th International Conference on Urban Transport and the Environment, Urban Transport 2019; Aveiro; Portugal; 25 June 2019 through 27 June 2019; Code 155807 In recent years, the growth of fossil fuel use and greenhouse gases emissions (GHGs) has been promoted by the population increase and development of the industry sector. Due to the increasing attention towards the effects of climate changes on quality of life, recent researches on pollutant formation processes have been developed in different sectors, especially in transportation. The last emission standards on pollutants impose limits on the dimensions and on the particle number of the particulate matter emissions, because of the highly dangerous effect on human health. To fight high concentrations of particulate matter (PM) emissions, a wide number of studies are addressed towards the definition of the most important parameters in effective production of particulate matter, especially in spark ignition engines. Physical processes such as mixture formation, engine operating parameters and fuel chemical properties strongly affect the soot formation in gasoline engines. The heat transfer process between the piston hot surface and the fuel gasoline during the post-injection phase is a key aspect of soot emissions for an engine. This paper is devoted to analyzing the fundamental parameters that are responsible for pollutant formation in the transport sector and the actual experimental and numerical techniques used to predict the environmental impact of engines. |
| Databáze: | OpenAIRE |
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