Ozone generation in an oxygen-fed wire-to-cylinder ozonizer at atmospheric pressure

Hadj-Ziane, S; Held, B.; Pignolet, P.; Peyrous, R.; Coste, C.

doi:10.1088/0022-3727/25/4/014

Cited by 75 publications

(34 citation statements)

References 13 publications

(2 reference statements)

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“…A review of eight models featuring this reaction (all published after Steinfeld et al [133]) shows that not one follows this obviously desirable practice, and several contain egregious confusions [45,69,42,132,131,43,82,95]. Most extraordinary is HadjZiane et al [45], who include five product channels with a gross rate constant of k = 11.2 × 10 −16 m 3 s −1 , almost five times the recommended value.…”

Section: Uncertainty and Error In Complex Plasmamentioning

confidence: 99%

“…Most extraordinary is HadjZiane et al [45], who include five product channels with a gross rate constant of k = 11.2 × 10 −16 m 3 s −1 , almost five times the recommended value. Less extreme instances of this spurious increase in the gross rate also occur [131,43,95], usually through adding product channels without adjusting the gross rate constant.…”

Section: Uncertainty and Error In Complex Plasmamentioning

confidence: 99%

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Uncertainty and error in complex plasma chemistry models

Turner

2015

Plasma Sources Sci. Technol.

101

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Abstract. Chemistry models that include dozens of species and hundreds to thousands of reactions are common in low-temperature plasma physics. The rate constants used in such models are uncertain, because they are obtained from some combination of experiments and approximate theories. Since the predictions of these models are a function of the rate constants, these predictions must also be uncertain. However, systematic investigations of the influence of uncertain rate constants on model predictions are rare to non-existent. In this work we examine a particular chemistry model, for helium-oxygen plasmas. This chemistry is of topical interest because of its relevance to biomedical applications of atmospheric pressure plasmas. We trace the primary sources for every rate constant in the model, and hence associate an error bar (or equivalently, an uncertainty) with each. We then use a Monte Carlo procedure to quantify the uncertainty in predicted plasma species densities caused by the uncertainty in the rate constants. Under the conditions investigated, the range of uncertainty in most species densities is a factor of two to five. However, the uncertainty can vary strongly for different species, over time, and with other plasma conditions. There are extreme (pathological) cases where the uncertainty is more than a factor of ten. One should therefore be cautious in drawing any conclusion from plasma chemistry modelling, without first ensuring that the conclusion in question survives an examination of the related uncertainty. PACS numbers:Uncertainty and Error in Complex Plasma Chemistry Models 2

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Section: Uncertainty and Error In Complex Plasmamentioning

confidence: 99%

Section: Uncertainty and Error In Complex Plasmamentioning

confidence: 99%

Uncertainty and error in complex plasma chemistry models

Turner

2015

Plasma Sources Sci. Technol.

101

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“…Therefore, different simplifications are usually introduced in order to reduce the complexity of the problem. For example, wire-cylinder streamer corona discharge has been simulated by Hadj-Ziane et al [1,2] and Loiseau et al [3] assuming that electronic injections, with azimuthal symmetry, occurred at certain sites along the corona wire. The injected electron density was given as an empirical law, and the dependence of reaction rate constants with the electric field was not taken into account.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the corona reactor will operate as an ozonizer, where pure oxygen enters the cylinder and ozone and other by-products are collected at the exit. Contrary to other studies [1][2][3][4][5][6], the governing equations will be simultaneously solved for all species, thus providing a revealing picture of the interplay between electrons, neutral species and the different types of ions. The effects of ozone decomposition on the electrode surface and Joule heating due to the electrical current will also be included in the numerical model.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of an oxygen-fed wire-to-cylinder negative corona discharge in the glow regime

Yanallah

Pontiga

Castellanos

2011

J. Phys. D: Appl. Phys.

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Negative glow corona discharge in flowing oxygen has been numerically simulated for a wire-to-cylinder electrode geometry. The corona discharge is modelled using a fluid approximation. The radial and axial distributions of charged and neutral species are obtained by solving the corresponding continuity equations, which include the relevant plasma-chemical kinetics. Continuity equations are coupled with Poisson's equation and the energy conservation equation, since the reaction rate constants may depend on the electric field and temperature. The experimental values of the current–voltage characteristic are used as input data into the numerical calculations. The role played by different reactions and chemical species is analysed, and the effect of electrical and geometrical parameters on ozone generation is investigated. The reliability of the numerical model is verified by the reasonable agreement between the numerical predictions of ozone concentration and the experimental measurements.

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“…The three-body recombination reaction of atomic oxygen to O 2 has a much lower rate coefficient as compared with the reaction with CO 2 [59]. The two reactions in succession yield a net enthalpy for the production of one CO molecule H = 5.8/2 = 2.9 eV, the limiting stage being reaction (1).…”

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confidence: 99%

CO₂-neutral fuels

Goede

2015

EPJ Web of Conferences

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Summary. -The need for storage of renewable energy (RE) generated by photovoltaic, concentrated solar and wind arises from the fact that supply and demand are ill-matched both geographically and temporarily. This already causes problems of overcapacity and grid congestion in countries where the fraction of RE exceeds the 20% level. A system approach is needed, which focusses not only on the energy source, but includes conversion, storage, transport, distribution, use and, last but not least, the recycling of waste. Furthermore, there is a need for more flexibility in the energy system, rather than relying on electrification, integration with other energy systems, for example the gas network, would yield a system less vulnerable to failure and better adapted to requirements. For example, long-term large-scale storage of electrical energy is limited by capacity, yet needed to cover weekly to seasonal demand. This limitation can be overcome by coupling the electricity net to the gas system, considering the fact that the Dutch gas network alone has a storage capacity of 552 TWh, sufficient to cover the entire EU energy demand for over a month. This lecture explores energy storage in chemicals bonds. The focus is on chemicals other than hydrogen, taking advantage of the higher volumetric energy density of hydrocarbons, in this case methane, which has an approximate 3.5 times higher volumetric energy density. More importantly, it allows the ready use of existing gas infrastructure for energy storage, transport and distribution. Intermittent wind electricity generated is converted into synthetic methane, the Power to Gas (P2G) scheme, by splitting feedstock CO2 and H2O into synthesis gas, a mixture of CO and H2. Syngas plays a central role in the synthesis of a range of hydrocarbon products, including methane, diesel and dimethyl ether. The splitting is accomplished by innovative means; plasmolysis and high-temperature solid oxygen electrolysis. A CO2-neutral fuel cycle is established by powering the conversion step by renewable energy and recapturing the CO2 emitted after combustion, ultimately from the surrounding air to cover emissions from distributed source. Carbon Capture and Utilisation (CCU) coupled to P2G thus creates a CO2-neutral energy system based on synthetic hydrocarbon fuel. It would enable a circular economy where the carbon cycle is closed by recovering the CO2 emitted after reuse of synthetic hydrocarbon fuel. The critical step, technically as well as economically, is the conversion of feedstock CO2/H2O into syngas rather than the capture of CO2 from ambient air.

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Ozone generation in an oxygen-fed wire-to-cylinder ozonizer at atmospheric pressure

Cited by 75 publications

References 13 publications

Uncertainty and error in complex plasma chemistry models

Uncertainty and error in complex plasma chemistry models

Numerical simulation of an oxygen-fed wire-to-cylinder negative corona discharge in the glow regime

CO₂-neutral fuels

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Ozone generation in an oxygen-fed wire-to-cylinder ozonizer at atmospheric pressure

Cited by 75 publications

References 13 publications

Uncertainty and error in complex plasma chemistry models

Uncertainty and error in complex plasma chemistry models

Numerical simulation of an oxygen-fed wire-to-cylinder negative corona discharge in the glow regime

CO2-neutral fuels

Contact Info

Product

Resources

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CO₂-neutral fuels