Dimethyl ether (DME) and dimethoxymethane (DMM) as reaction enhancers for methane: Combining flame experiments with model-assisted exploration of a polygeneration process

Zhang, Hao; Kaczmarek, Dennis; Rudolph, Charlotte; Schmitt, Steffen; Gaiser, Nina; Oßwald, Patrick; Bierkandt, Thomas; Kasper, Tina; Atakan, Burak; Kohse‐Höinghaus, Katharina

doi:10.1016/j.combustflame.2021.111863

Cited by 17 publications

(13 citation statements)

References 86 publications

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“…Flame conditions are summarized in Table 1. Note that the experimental data for OME1 and DME shown here are also discussed by Zhang et al to evaluate their potential as reaction enhancers for methane in polygeneration processes [32].…”

Section: Ei-mbmsmentioning

confidence: 66%

“…For EI-MBMS, corrections for background and fragmentation of species through the ionization process were performed with O. Labile species (EI-MBMS) were not directly calibrated, but quantified by the relative ionization cross section (RICS) method [37] or the convolution of the literature ionization cross sections with the known energy distribution of the electrons [3]. Species using direct calibration, uncertainty ranges up to 30 %, while for other species that could not be calibrated directly, the uncertainty increases to a factor of 2-4 [32]. Experimental uncertainties are given as "Error" in the corresponding graphs for each species instead of error bars to ensure the readability of all figures.…”

Section: Data Evaluation and Uncertaintiesmentioning

confidence: 99%

“…No sampling nozzle was installed while obtaining temperature profiles. Radiation correction was performed following previously reported procedures [32,46], based on a reference DME flame (ϕ = 1.7…”

Section: Flame Temperaturementioning

confidence: 99%

“…/ measured at Bielefeld University) [32,47] temperature measured by OH planar laser-induced fluorescence (PLIF) [48]. The uncertainty within the temperature measurements is estimated to be ±10 % [48].…”

Section: Flame Temperaturementioning

confidence: 99%

See 3 more Smart Citations

Investigation of the combustion chemistry in laminar, low-pressure oxymethylene ether flames (OME0–4)

Gaiser

Zhang

Bierkandt

et al. 2022

Combustion and Flame

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Section: Ei-mbmsmentioning

confidence: 66%

Section: Data Evaluation and Uncertaintiesmentioning

confidence: 99%

Section: Flame Temperaturementioning

confidence: 99%

Section: Flame Temperaturementioning

confidence: 99%

See 2 more Smart Citations

Investigation of the combustion chemistry in laminar, low-pressure oxymethylene ether flames (OME0–4)

Gaiser

Zhang

Bierkandt

et al. 2022

Combustion and Flame

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“…Shrestha et al 59 developed a chemical kinetic model for DME and DMM oxidation and nitrogen−oxide interaction. Further models were developed by Hashemi et al, 60 Porras et al, 61 Li et al, 52 and Zhang et al 62 None of the considered mechanisms here are validated for fuel blends containing DMM and DME because those fuel blends have not been investigated experimentally in the context of autoignition so far. For the optimization of the fuel blending ratio between DME and DMM, detailed knowledge about ignition delay times is necessary.…”

Section: ■ Introductionmentioning

confidence: 99%

Auto-Ignition of DME/DMM Fuel Blends. Part I: Minimizing Temperature Dependency by Blend Optimization

2022

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Combustion concepts based on auto-ignition are prone to detonation formation and premature ignition in the presence of local spots with increased reactivity, which can be caused by unavoidable temperature inhomogeneities in real technical applications. In this study, a fuel blend optimization approach using a fuel component with negative temperature coefficient (NTC) behavior (dimethyl ether, DME) and a fuel component without NTC behavior (dimethoxymethane, DMM) is employed to reduce the temperature sensitivity of ignition delay times and therefore reduce the tendency of premature ignition and detonation development. First, ignition delay times and first stage ignition of a DMM/air mixture are measured behind reflected shock waves in a high-pressure shock tube (20 and 35 bar, stoichiometric conditions) to select a suited chemical kinetic model. Using these data and additional literature data, a mechanism is chosen, which is used to numerically optimize the blending ratio of DME and DMM to minimize the temperature sensitivity of ignition delay times in the temperature range between 800 and 900 K for both considered pressures. The two optimized fuel blends are investigated in the shock tube regarding their ignition characteristics as before (20 and 35 bar, stoichiometric conditions). Finally, the impact of pressure, equivalence ratio, and temperature range on the optimization result is investigated numerically.

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Dry Methane Reforming in a Piston Engine for Chemical Energy Storage and Carbon Dioxide Utilization: Kinetic Modeling and Thermodynamic Evaluation

Rudolph

Atakan

2023

Energy Tech

Self Cite

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The flexible energy conversion in piston engines offers one possibility for storing energy from renewable sources. This work theoretically explores the engine‐based dry methane reforming converting mechanical energy into chemical energy. The endothermic, endergonic reforming process is activated by the temperature increase during the compression stroke, assisted by a reduction of the heat capacity through dilution with argon. This leads to an increase in chemical exergy, as higher‐exergy species are produced with small exergy losses while simultaneously consuming CO2. The engine‐based homogenous dry reforming serves as a flexible power‐to‐gas process and energy storage solution, presenting an alternative to catalytic processes. The piston engine is simulated using a time‐dependent single‐zone model with detailed chemical kinetics, followed by an analysis of thermodynamics and kinetics. With inlet temperatures ranging from 423–473 K and argon dilutions of 91–94 mol%, CH4 and CO2 conversion are between 50%–90% and 30%–80%, respectively, resulting in synthesis gas yields of 45–55%. Additionally, higher hydrocarbons such as C2H2, C2H4, and C6H6 are produced with yields of up to 20%, 10%, and 10%. So, this power‐to‐gas process allows for exergy storage of up to 3.35 kW L−1 per cycle with an efficiency of up to 75%.

show abstract

Dimethyl ether (DME) and dimethoxymethane (DMM) as reaction enhancers for methane: Combining flame experiments with model-assisted exploration of a polygeneration process

Cited by 17 publications

References 86 publications

Investigation of the combustion chemistry in laminar, low-pressure oxymethylene ether flames (OME0–4)

Investigation of the combustion chemistry in laminar, low-pressure oxymethylene ether flames (OME0–4)

Auto-Ignition of DME/DMM Fuel Blends. Part I: Minimizing Temperature Dependency by Blend Optimization

Dry Methane Reforming in a Piston Engine for Chemical Energy Storage and Carbon Dioxide Utilization: Kinetic Modeling and Thermodynamic Evaluation

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