Numerical study of novel OME1–6 combustion mechanism and spray combustion at changed ambient environments

Frederik WIESMANN, Dong HAN, Zeyan QIU, Lukas STRAUβ, Sebastian RIEβ, Michael WENSING, Thomas LAUER

PDF(16193 KB)
PDF(16193 KB)
Front. Energy ›› 2024, Vol. 18 ›› Issue (4) : 483-505. DOI: 10.1007/s11708-024-0926-8
RESEARCH ARTICLE

Numerical study of novel OME1–6 combustion mechanism and spray combustion at changed ambient environments

Author information +
History +

Abstract

For a climate-neutral future mobility, the so-called e-fuels can play an essential part. Especially, oxygenated e-fuels containing oxygen in their chemical formula have the additional potential to burn with significantly lower soot levels. In particular, polyoxymethylene dimethyl ethers or oxymethylene ethers (PODEs or OMEs) do not contain carbon-carbon bonds, prohibiting the production of soot precursors like acetylene (C2H2). These properties make OMEs a highly interesting candidate for future climate-neutral compression-ignition engines. However, to fully leverage their potential, the auto-ignition process, flame propagation, and mixing regimes of the combustion need to be understood. To achieve this, efficient oxidation mechanisms suitable for computational fluid dynamics (CFD) calculations must be developed and validated. The present work aims to highlight the improvements made by developing an adapted oxidation mechanism for OME1–6 and introducing it into a validated spray combustion CFD model for OMEs. The simulations were conducted for single- and multi-injection patterns, changing ambient temperatures, and oxygen contents. The results were validated against high-pressure and high-temperature constant-pressure chamber experiments. OH*-chemiluminescence measurements accomplished the characterization of the auto-ignition process. Both experiments and simulations were conducted for two different injectors. Significant improvements concerning the prediction of the ignition delay time were accomplished while also retaining an excellent agreement for the flame lift-off length. The spatial zones of high-temperature reaction activity were also affected by the adaption of the reaction kinetics. They showed a greater tendency to form OH* radicals within the center of the spray in accordance with the experiments.

Graphical abstract

Keywords

oxygenated fuels / reaction kinetics / oxidation mechanisms / computational fluid dynamics (CFD) / oxymethylene ethers (OME) / e-fuels / multi-injection / spray-combustion

Cite this article

Download citation ▾
Frederik WIESMANN, Dong HAN, Zeyan QIU, Lukas STRAUβ, Sebastian RIEβ, Michael WENSING, Thomas LAUER. Numerical study of novel OME1–6 combustion mechanism and spray combustion at changed ambient environments. Front. Energy, 2024, 18(4): 483‒505 https://doi.org/10.1007/s11708-024-0926-8

References

[1]
Huang Z, Zhu L, Li A. . Renewable synthetic fuel: Turning carbon dioxide back into fuel. Frontiers in Energy, 2022, 16(2): 145–149
CrossRef Google scholar
[2]
Damyanov A, Hofmann P, Geringer B. . Biogenous ethers: Production and operation in a diesel engine. Automotive and Engine Technology, 2018, 3: 69–82
CrossRef Google scholar
[3]
Liu J, Wang H, Li Y. . Effects of diesel/PODE (polyoxymethylene dimethyl ethers) blends on combustion and emission characteristics in a heavy duty diesel engine. Fuel, 2016, 177: 206–216
CrossRef Google scholar
[4]
Härtl M, Gaukel K, Pélerin D, et al. Oxymethylene ether as potentially CO2-neutral fuel for clean diesel engines part 1: Engine testing. MTZ worldwide 2017, 78: 52–59
[5]
Omari A, Heuser B, Pischinger S. Potential of oxymethylenether-diesel blends for ultra-low emission engines. Fuel, 2017, 209: 232–237
CrossRef Google scholar
[6]
Qiu Z, Zhong A, Huang Z. . An experimental and modeling study on polyoxymethylene dimethyl ether 3 (PODE3) oxidation in a jet stirred reactor. Fundamental Research, 2022, 2(5): 738–747
CrossRef Google scholar
[7]
Virt M, Arnold U. Effects of oxymethylene ether in a commercial diesel engine. Cognitive Sustainability, 2022, 1(3)
[8]
Pélerin D, Gaukel K, Härtl M. . Potentials to simplify the engine system using the alternative diesel fuels oxymethylene ether OME1 and OME3−6 on a heavy-duty engine. Fuel, 2020, 259: 116231
CrossRef Google scholar
[9]
Gelner A D, Rothe D, Kykal C. . Particle emissions of a heavy-duty engine fueled with polyoxymethylene dimethyl ethers (OME). Environmental Science: Atmospheres, 2022, 2(2): 291–304
CrossRef Google scholar
[10]
Dworschak P, Berger V, Härtl M, et al. Neat Oxymethylene Ethers: Combustion Performance and Emissions of OME2, OME3, OME4 and OME5 in a Single-Cylinder Diesel Engine. SAE Technical Report 2020-01-0805, 2020
[11]
Strauß L, Rieß S, Wensing M. Mixture formation of OME3–5 and 1-octanol in comparison with diesel-like dodecane under ECN Spray A conditions. Frontiers in Mechanical Engineering, 2023, 9: 1083658
CrossRef Google scholar
[12]
Wiesmann F, Strauß L, Rieß S. . Numerical and experimental investigations on the ignition behavior of OME. Energies, 2022, 15(18): 6855
CrossRef Google scholar
[13]
Wiesmann F, Bauer E, Kaiser S A, et al. Ignition and Combustion Characteristics of OME3–5 and N-Dodecane: A Comparison Based on CFD Engine Simulations and Optical Experiments. SAE Technical Report 2023-01-0305, 2023
[14]
Niu B, Jia M, Chang Y. . Construction of reduced oxidation mechanisms of polyoxymethylene dimethyl ethers (PODE1–6) with consistent structure using decoupling methodology and reaction rate rule. Combustion and Flame, 2021, 232: 111534
CrossRef Google scholar
[15]
ASG. ASG analytik-service. 2022-8-2, available at website of ASG Analytik
[16]
Pastor J V, García-Oliver J M, Micó C. . Experimental study of the effect of hydrotreated vegetable oil and oxymethylene ethers on main spray and combustion characteristics under engine combustion network Spray A conditions. Applied Sciences, 2020, 10(16): 5460
CrossRef Google scholar
[17]
,Chemkin-Pro 15131. San Diego: Reaction Design, 2013
[18]
Cai L, Jacobs S, Langer R. . Auto-ignition of oxymethylene ethers (OMEn, n = 2–4) as promising synthetic e-fuels from renewable electricity: Shock tube experiments and automatic mechanism generation. Fuel, 2020, 264: 116711
CrossRef Google scholar
[19]
Hanjalić K, Popovac M, Hadžiabdić M. A robust near-wall elliptic-relaxation eddy-viscosity turbulence model for CFD. International Journal of Heat and Fluid Flow, 2004, 25(6): 1047–1051
CrossRef Google scholar
[20]
Popovac M, Hanjalic K. Compound wall treatment for RANS computation of complex turbulent flows. In: Proceedings of the 3rd MIT Conference on Computational Fluid and Solid Mechanics. Boston: Elsevier, 2005
[21]
Reitz R D. Modeling atomization processes in high-pressure vaporizing sprays. Atomisation Spray Technology, 1987, 3: 309–337
[22]
Taylor G. The instability of liquid surfaces when accelerated in a direction perpendicular to their planes. I. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1950, 201(1065): 192–196
CrossRef Google scholar
[23]
Brenn G, Deviprasath L J, Durst F. Computations and experiments on the evaporation of multi-component droplets. In: Proceedings of the 9th International Conferences on Atomization and Spray Systems. Sorrento, 2003
[24]
Abramzon B, Sirignano W. Droplet vaporization model for spray combustion calculations. International Journal of Heat and Mass Transfer, 1989, 32(9): 1605–1618
CrossRef Google scholar
[25]
O’Rourke P J, Bracco F. Modelling of drop interactions in thick sprays and a comparison with experiments. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 1980, 404(80): 101–116
[26]
Schiller L, Naumann A Z. A drag coefficient correlation. Zeitschrift des Vereins Deutscher Ingenieure, 1933, 77: 318–320
[27]
Pickett L M, Manin J, Payri R, et al. Transient Rate of Injection Effects on Spray Development. SAE Technical Report 2013-24-0001, 2013
[28]
CMT. Virtual injection tate generator. 2022–04-07, available at website of Universitat Politècnica de València
[29]
Peter A, Siewert B, Riess S. . Mixture formation analysis of polyoxymethylenether injection. Atomization and Sprays, 2020, 30(11): 843–859
CrossRef Google scholar
[30]
Frühhaber J, Peter A, Schuh S, et al. Modeling the Pilot Injection and the Ignition Process of a Dual Fuel Injector with Experimental Data from a Combustion Chamber Using Detailed Reaction Kinetics. SAE Technical Report 2018-01-1724, 2018
[31]
AVL List GmbH. User Manual for FIRE General Gas Phase Reactions Module Version 2018, 2018
[32]
Mueller C J. The Quantification of Mixture Stoichiometry When Fuel Molecules Contain Oxidizer Elements or Oxidizer Molecules Contain Fuel Elements. SAE Technical Report 2005-01-3705, 2005
[33]
ECN. Engine combustion network. 2022-4-7, available at website of Sandia National Laboratories
[34]
Riess S, Vogel T, Wensing M. Influence of exhaust gas recirculation on ignition and combustion of diesel fuel under engine conditions investigated by chemical luminescence. In: Proceedings of the 13th Triennial Conference on Liquid Atomization and Spray Systems. Tainan, China, 2015
[35]
Peter A. Charakterisierung der Gemischbildung und Zündung in Diesel- und Dual-Fuel-Brennverfahren. In: Berichte zur Thermodynamik und Verfahrenstechnik. Düren: Shaker Verlag, 2022
[36]
Tagliante F, Nguyen T M, Dhanji M P. . The role of cool-flame fluctuations in high-pressure spray flames, studied using high-speed optical diagnostics and large-eddy simulations. Proceedings of the Combustion Institute, 2023, 39(4): 4871–4879
CrossRef Google scholar
[37]
Stiesch G. Modeling Engine Spray and Combustion Processes. Berlin: Springer Heideberg, 2003
[38]
Pischinger F, Schulte H. Grundlagen und entwicklungslinien der diesel-motorischen brennverfahren. düsseldorf. VDI-Verlag, 1988, 714: 61–93
[39]
Warnatz J, Maas U, Dibble R W. Combustion: Physical and Chemical Fundamentals, Modeling and Simulation, Experiments, Pollutant Formation. 4th ed. New York: Springer, 2006

Acknowledgements

This work was the scientific result of a research project undertaken by the Research Association for Combustion Engines eV (FVV). The work at the SJTU was funded by the National Key R&D Program of China (Grant No. 2022YFE0209000) and the National Natural Science Foundation of China (Grant No. 52022058). Parts of this work were funded by the Federal Ministry for Economic Affairs and Energy (BMWi) through the German Federation of Industrial Research Associations eV (AiF). The work at the TU Wien was funded by the Ministry for Transport, Innovation and Technology (BMVIT) through the Austrian Research Promotion Agency (FFG, Grant No. 874418). The research was conducted in the framework of the collective research networking program (CORNET) project “eSpray.” The computational results presented were achieved using the Vienna Scientific Cluster (VSC) via the funded project No. 71485.

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Open access funding provided by TU Wien (TUW).

Competing interests

The authors declare that they have no conflict of interest.

Notations

Abbreviations
C2H2Acetylene molecule
CFDComputational fluid dynamics
CH2OFormaldehyde molecule
CH3O(−CH2O)n−CH3Polyoxymethylene dimethyl ether molecule
ECNEngine Combustion Network
FSTInstitute of Fluid System Technology
ID/IDTIgnition delay timeJSR
KHRTKelvin–Helmholtz–Rayleigh–Taylor
LESLarge Eddy Simulation
OHHydroxyl radical
OMEOxymethylene ethers
PODEPolyoxymethylene dimethyl ethers
OP1ECN Spray A low temperature conditions (800 K, 22.8 kg/m3, 15% O2)
OP2ECN Spray A conditions (900 K, 22.8 kg/m3, 15% O2)
OP3ECN Spray A high temperature conditions (1000 K, 22.8 kg/m3, 15% O2)
OP4ECN Spray A conditions with multi-injection (900 K, 22.8 kg/m3, 15% O2
OP5ECN Spray A high oxygen content conditions (900 K, 22.8 kg/m3, 21% O2)
RANSReynolds averaged Navier–Stokes equations
SJTUShanghai Jiao Tong University
SOCStart of combustion
SOIStart of injection
Variables
CAInjector nozzle hole area contraction coefficient
dDiameter
kPre-exponential factor of reaction
LLength
m˙Mass flow
pPressure
r/RRadius
SSensitivity coefficient
tTime
TTemperature
xDistance
ZMixture fraction
ZiElement mass fraction
ρDensity
τIgnition delay time
ϕEquivalence ratio
ϕΩOxygen equivalence ratio
ΩOxygen ratio

RIGHTS & PERMISSIONS

2024 The authors (2024). This article is published with open access at link. springer.com and journal.hep.com.cn
AI Summary AI Mindmap
PDF(16193 KB)

Accesses

Citations

Detail

Sections
Recommended

/