A Tabulated Chemistry Multi-Zone Combustion Model of HCCI Engines Supplied with Pure Fuel and Fuel Blends

Vincenzo De Bellis, Enrica Malfi (), Alfredo Lanotte, Massimiliano De Felice, Luigi Teodosio and Fabio Bozza
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Vincenzo De Bellis: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy
Enrica Malfi: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy
Alfredo Lanotte: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy
Massimiliano De Felice: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy
Luigi Teodosio: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy
Fabio Bozza: Department of Industrial Engineering, University of Napoli Federico II, 80121 Napoli, Italy

Energies, 2022, vol. 16, issue 1, 1-23

Abstract: Homogeneous charge compression ignition is considered a promising solution to face the increasing regulations imposed by the legislator in the transport sector, thanks to pollutant and CO 2 emissions reduction. In this work, a quasi-dimensional multi-zone HCCI model integrated with 1D commercial software is developed and validated. It is based on the control mass Lagrangian approach and computes the mixture chemistry evolution through offline tabulation of chemical kinetics (tabulated kinetic of ignition). Thus, the simulation can predict mixture auto-ignition with reduced computational effort and high accuracy. Multi-zone schematization mimics the typical thermal stratification of HCCI engines, controlling the combustion evolution. The model is coupled to sub-models for pollutant emissions estimation. Initially, the tabulated chemistry approach is validated against a chemical kinetics solver applied to a constant-volume homogeneous reactor, considering various fuel blends. The model is then used to simulate the operations of four engines using different fuels (hydrogen, methane, n-heptane, and n-heptane/toluene/ethanol blend), under various boundary conditions. The model predictivity is demonstrated against pressure traces, heat release rate, and noxious emissions. The numerical results showed to adequately agree with measured counterparts (average relative error of 1.3% on in-cylinder pressure peak, average absolute error of 0.95 CAD on pressure peak angle, average relative error of 8.4% on uHCs emissions, absolute error below 1 ppm on NOx emissions) only adapting the thermal stratification to the engines under study. The methodology proved to be a reliable tool to investigate the operation of an HCCI engine, applicable in the development of new engine architecture.

Keywords: HCCI; tabulated chemistry; fuel blends; multi-zone combustion model; NOx emission; unburned hydrocarbon emission (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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