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2023 | Book

Introduction Read chapter Read first chapter

A Complete Methodology for the Predictive Simulation of Novel, Single- and Multi-Component Fuel Combustion

Author: Sebastian K. Crönert

Publisher: Springer Fachmedien Wiesbaden

Book Series : Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik"

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About this book

Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
The deadline for the Paris climate goals is coming closer and closer but at the current date, the 1.5 °C limit seems impossible to achieve. While for new passenger cars in metropolitan areas, the electric powertrain seems to be the superior choice, ICEs will still have their applications. Replacing gasoline with CO2 neutral fuels for the existing car fleets might be a niche case, but especially the transport sector and civil engineering are strongly dependent on high energy densities.
Sebastian K. Crönert
Chapter 2. Fundamentals
Abstract
Combustion is defined as the oxidization of a fuel in an exothermal reaction, usually with ambient air being used as the oxidizer. Flames - not necessarily visible - can form with laminar or turbulent surfaces, the former only under undisturbed conditions. While for some technical processes, combustion can be stable and uninterrupted over long periods of time (e.g., heating an industrial forge by burning methane with an open flame), this is not the case for internal combustion engines with intermittent combustion.
Sebastian K. Crönert
Chapter 3. Reaction Kinetics Calculations
Abstract
All reaction kinetic calculations are done with the open source software Cantera [41], developed by Goodwin et al.. It can be accessed through interfaces in Matlab, Python, and Fortran. The ease of use, together with its open source licensing, lead to the implementation of all calculation scripts in the Python programming language. This way, there are no costs associated with the presented methodology and every user has access to it.
Sebastian K. Crönert
Chapter 4. Automation of A New Fuel Implementation
Abstract
Although the introduced models have been used with multiple fuels and validated against measurement data of varying engines, the process of implementing a new fuel mixture is only shown for the two compositions, TRFE10 in a 50 % (m/m) mixture with Anisole (E10AN50m) and TRFE10 in a 50 % (m/m) mixture with Cyclopentanone (E10CPN50m). They underwent extensive research in the FVV project 1348 Fuel Composition for CO2 Reduction that was running in parallel with this work. The information and measurement data available for those two fuel mixtures makes them ideal for a demonstration of the implementation process.
Sebastian K. Crönert
Chapter 5. Engine Properties and Fuel Compositions
Abstract
To allow for a better understanding of the diverse validation range, not only in terms of fuels but also for engine types, the used engines and fuels are introduced. Also, the fuel compositions are explicitly stated, so all calculation results can be reconstructed if needed. Additionally, the abbreviations and characteristics of the used fuel compositions are mentioned and summarized.
Sebastian K. Crönert
Chapter 6. Methodology Validation
Abstract
For the validation of engine simulations, not all Measurement Data acquired on engine test benches can be used directly. Especially for combustion simulations, burn rates are of great interest as they are the immediate result of the combustion model calculations (see 2.3.1). While heat release rates can be calculated from the cylinder pressure when the crank train geometry is known, burn rates on the other hand require the use of reverse calculation (Three Pressure Analysis (TPA)) models.
Sebastian K. Crönert
Chapter 7. Conclusion and Outlook
Abstract
It has been shown, that with current QD simulation models that are based on the physical and chemical properties of fuels, it is possible to accurately predict engine combustion solely based on the fuel’s characteristics. This builds on the findings of Hann who was able to predict fuel dependent combustion behavior based on the laminar burning velocities of fuels (mainly natural gas fuels of changing composition). For this purpose, laminar burning velocities, laminar flame thicknesses, low and high ignition delay times, and temperature increases by the first stage of ignition have been calculated with the help of distributed computing and cloud computing.
Sebastian K. Crönert
Backmatter
Metadata
Title
A Complete Methodology for the Predictive Simulation of Novel, Single- and Multi-Component Fuel Combustion
Author
Sebastian K. Crönert
Copyright Year
2023
Electronic ISBN
978-3-658-43075-7
Print ISBN
978-3-658-43074-0
DOI
https://doi.org/10.1007/978-3-658-43075-7

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