Poly(oxymethylene) dimethyl ethers (OMEs) are attractive
components for tailoring diesel fuels. They belong to the group of
oxygenates that reduce soot formation in the combustion when added
to diesel fuels and can be produced on a large scale based on gas-to-liquid
technology. This work deals with a particularly favorable route for
their large scale production in which they are formed from methylal
and trioxane. Reaction kinetics and chemical equilibrium of the OME
formation via this route were studied in a batch reactor using the
ion-exchange resin Amberlyst 46 as heterogeneous catalyst at temperatures
between 323 and 363 K and for a wide range of feed compositions. An
adsorption-based kinetic model is presented that represents both reaction
kinetics and equilibrium well.
Poly(oxymethylene)
dimethyl ethers (OME) are attractive oxygenated
fuel additives and physical solvents for the absorption of carbon
dioxide. This works studies the synthesis of OME from formaldehyde
and methanol in aqueous solutions. The reaction kinetics of OME formation
is studied experimentally in a stirred batch reactor on a laboratory
scale using the heterogeneous catalyst Amberlyst 46. The influences
of the ratio of formaldehyde to methanol, the amount of water, and
the temperature (303.15–363.15 K) are investigated. A model
of the reaction kinetics is developed that differentiates two competing
reaction mechanisms. The model explicitly accounts for the intermediates
poly(oxymethylene) hemiformals and poly(oxymethylene) glycols.
Polyoxymethylene dimethyl ether (OME) are a high-potential and carbon-neutral synthetic e-fuel. This is the first comprehensive study to report the energetic efficiency of the production of OME from CO2 and electrical energy.
Mixtures that contain a known target component but are otherwise poorly specified are important in many fields. Previously, the activity of the target component, which is needed e.g. to design separation processes, could not be predicted in such mixtures. A method was developed to solve this problem. It combines a thermodynamic group contribution method for the activity coefficient with NMR spectroscopy, which is used for estimating the nature and amount of the different chemical groups in the mixture. The knowledge of the component speciation of the mixture is not required. Test cases that are inspired by bioprocess engineering applications show that the new method gives surprisingly good results.
Sufficient and necessary conditions for the occurrence of a Hopf
bifurcation in chemical reaction mechanisms
are presented using the formalism of stoichiometric networks. The
conditions are applied to determine the
mechanistic basis of chemical oscillations in isothermal surface
reactions. Realistic examples are given for
the different oscillatory mechanisms.
Mixtures of which the composition is not fully known are important in many fields of engineering and science, e.g. in biotechnology. Due to the lacking information on the composition, such mixtures cannot be described with common thermodynamic models. In the present work, a method is described with which this obstacle can be overcome for an important class of problems. The method enables the estimation of the activity coefficients of target components in poorly specified mixtures and is based on a combination of NMR spectroscopy with a thermodynamic group contribution method. present work as group contribution method, but NEAT can be extended to any other group contribution method. NEAT has been introduced recently by our group in a short communication, in which, however, only the basic ideas were presented. In the present work, NEAT is described in full detail. Different options of using NEAT are discussed and examples for the application of the method are given. They include a variety of aqueous and non-aqueous mixtures. The results show very good agreement of the activity coefficients that are predicted by NEAT with the corresponding results for the fully specified mixtures.
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