1. Combustion system optimization for the integration of e-fuels (Oxymethylene Ether) in compression ignition engines
- Author
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Cássio S. Fernandes, Tommaso Lucchini, Ricardo Novella, Josep Gomez-Soriano, and Gabriela Bracho
- Subjects
Computer science ,business.industry ,General Chemical Engineering ,Organic Chemistry ,CFD codes ,Process (computing) ,Energy Engineering and Power Technology ,INGENIERIA AEROESPACIAL ,Computational fluid dynamics ,Internal combustion engines ,Alternative fuel ,Automotive engineering ,law.invention ,Reduction (complexity) ,Ignition system ,Diesel fuel ,Optimization algorithm ,Fuel Technology ,law ,Range (aeronautics) ,MAQUINAS Y MOTORES TERMICOS ,OME ,Combustion chamber ,business ,NOx - Abstract
[EN] In this study, a numerical methodology for the optimization of the combustion chamber in compression ignited engines using OME as fuel is presented. The objective is to obtain a dedicated combustion system for an engine that is fueled with this alternative fuel improving the efficiency and reducing the emissions of NOx. This article proposes the integration between the optimization algorithm and CFD codes to evaluate the behavior of an engine fuelled with the low sooting fuel OME. Based on a diesel model validated against experimental data, a further model for OME fuel was implemented for evaluating the performance of the engine. The particle swarm algorithm (PSO) was modified based on the Novelty Search concepts and used as optimization algorithm. Several tools are coupled in order to create each CFD case where all the tools and optimization algorithm are coupled in a routine that automates the entire process. The result is an optimized combustion system that provides an increase of the efficiency (about 2.2%) and a NOx reduction (35.7%) in comparison with the baseline engine with conventional fuel. In addition, a neuronal network was trained with all the results of all simulations performed during the optimization process, studying the influence of each parameter on the emissions and efficiency. From this analysis it was concluded that the EGR rate and injection pressure affects the NOx emissions with a range of variability of 63% and 38% respectively., The work has been partially supported by the Spanish Ministerio de Economia, Industria y Competitividad through Grant No TRA2017-89139-C2-1-R "Desarrollo de modelos de combustion y emisiones HPC para el analisis de sistemas de transporte sostenibles" The author C. S. Fernandes thanks the Universitat Politecnica de Valencia for his predoctoral contract (FPI-2019-S2-20-555) , which is included within the framework of Programa de Apoyo para la Investigacion y Desarrollo (PAID)
- Published
- 2021