Homogeneous Reaction Model Research Articles

Reaction kinetics and product evolution of hydrolysis in copper-chlorine thermochemical cycle for hydrogen production

By-products of the hydrolysis reaction in the copper-chlorine thermochemical cycle for hydrogen production are key to the final thermal and hydrogen efficiency. The current study focuses on the influences of reaction time, temperature, and steam partial pressure on the hydrolysis reaction and by-product formation mechanism via experimental and multiple analytical methods. The result demonstrates that the hydrolysis reaction of CuCl2 and steam converts to CuCl and Cu2OCl2, with a high conversion of 97%, while the Cu2OCl2 and CuCl2-CuO product mixtures exhibit interconversion capabilities. The increase of temperature increases the CuCl product content, while the decrease of steam partial pressure increases the by-product CuCl2. Particle morphology and reaction thermodynamics are analyzed for main and by-products formation. Finally, the homogeneous reaction model and shrinking core model are used and compared for the activation energy of the formation of Cu2OCl2 for the hydrolysis reaction and the effect of by-products.

Investigation of dissolution kinetics of colemanite in propionic acid solutions

ABSTRACT Colemanite is one of the raw materials used to produce boron compounds which have a constituent of the richest composition ratio boron trioxide ( B 2 O 3 ) . The main purpose of this study is to investigate the dissolution kinetics of colemanite in a propionic acid solution. Reaction temperature, solid–liquid ratio, propionic acid concentration, stirring speed, and particle size were chosen as relevant parameters in the dissolution. According to the results of the study, the dissolution rate was directly proportional to the rise in the reaction temperature and inversely proportional to the increase in the solid–liquid ratio, acid concentration, and particle size. Additionally, it was observed that stirring speed did not significantly effect. Experiment results were correlated with the use of the Statistica10 software programme for linear regression. For the dissolution kinetics of colemanite, a model that can control the reaction was obtained by using homogeneous and heterogeneous reaction models. It was determined that the dissolution rate of the process was controlled by diffusion through the product film (ash) and the Activation energy was calculated as 37.51 kJ . mo l − 1 . Experimental data were analyzed with graphical and statistical methods, and a semi-empirical mathematical model was determined, which included the parameters of the study.

Dissolution behavior and kinetic investigation of in solution in the reaction of colemanite ore with propionic acid

Colemanite ore, which is one of the most significant commercially substantial boron minerals, is used to produce various boron compounds in the industry with its rich B_2 O_3 content. Calcium propionate, used in the food industry, is formed as a by-product in its production. In the production of boric acid from colemanite, the use of different solvent reagents is at the forefront to prevent the formation of Mg^(2+), Ca^(2+) and SO_4^(2-) impurities and borogypsum by-products. For this reason, in our study, the dissolution kinetics of colemanite ore in propionic acid solution in an aqueous medium were carried out in a batch reactor system. As dissolution parameters; reaction temperature, solid/liquid ratio, propionic acid (CH_3 CH_2 COOH) concentration, stirring speed and particle size were selected as. According to the experimental results, the amount of Mg^(2+) passed to the solution; was observed that the solution increased with the increase in reaction temperature with the decrease in solid-liquid ratio, grain size, and acid concentration. In addition, it was determined that the mixing speed was not effective. Obtained experimental data were analyzed according to homogeneous and heterogeneous reaction models using the Statistica 10.0 package program. It was determined that the dissolution kinetic of Mg^(2+) passing to solution conformed to the "Avrami model" and activation energy (E) was calculated as 8.18 kJ⁄mol.

Comprehensive Assessment of STGSA Generated Skeletal Mechanism for the Application in Flame-Wall Interaction and Flame-Flow Interaction

In this study, we conduct a thorough evaluation of the STGSA-generated skeletal mechanism for C2H4/air. Two STGSA-reduced mechanisms are taken into account, incorporating basic combustion models such as the homogeneous reactor model, one-dimensional flat premixed flame, and non-premixed counterflow flame. Subsequently, these models are applied to more complex combustion systems, considering factors like flame-flow interaction and flame-wall interaction. These considerations take into account additional physical parameters and processes such as mixing frequency and quenching. The results indicate that the skeletal mechanism adeptly captures the behavior of these complex combustion systems. However, it is suggested to incorporate strain rate considerations in generating the skeletal mechanism, especially when the combustion system operates under high turbulent intensity.

Isothermal calcination kinetics of boric acid and its use for nano boron oxide production under cryogenic conditions

The isothermal calcination kinetics of H3BO3 to B2O3 was firstly investigated as a function of time at 160, 200, 240 and 280 °C using heterogeneous and homogeneous reaction models and were characterized by XRD, FTIR-ATR, SEM and DTA/TG devices. Peaks in XRD patterns and bands in FTIR-ATR spectrum confirmed the structure of H3BO3 and B2O3. SEM showed that H3BO3 had a rather clean, flaky, smooth and plate-shaped surface while B2O3 had a rough surface. TG analysis confirmed that H3BO3 was degraded in two steps. Avrami model fitted a very good agreement with the experimental data. The activation energy was calculated as 14.2 kJ/mol. The smallest particle size for nano B2O3 was measured as 33 nm with Zetasizer NanoS. TEM images also confirmed that the particle size of B2O3 was measured to be approximately 50 nm. Additionally, the BET surface area of nano B2O3 was determined as 10.8 m2/g.

Improvement on Fourier fundamental mode coefficient for Monte Carlo criticality calculations

Recently, the Fourier fundamental mode coefficient (FFMC) was formulated to advance the existing Monte Carlo fission source stationarity diagnostics. The calculation of FFMC requires a user-defined exterior geometric boundary of the fission source distribution. However, the effect of using different boundary sizes on the reliability of the proposed FFMC indicator is not understood and has never been discussed. This work used different boundaries to investigate their effect on the FFMC results based on a simple homogeneous reactor model. The results show that the choice of FFMC boundaries is also affected by the reactor model's initial source distribution and geometrical configuration. The shortcoming of the abovementioned indicator has been improved by dissociating the indicator into the corresponding Cartesian axes. The new set of indicators is further verified by the checkerboard fuel storage array and the BEAVRS full core cases.

Heterogeneous Reaction Model for Evaluating the Kinetics of Levulinic Acid Synthesis from Pretreated Sugarcane Bagasse

The abundance of sugarcane bagasse, a by-product of sugarcane juice extraction in sugar factories, serves as an advantage of its potential for producing chemicals such as levulinic acid (LA). Levulinic acid contains carbonyl and carboxyl groups that can be utilized for many applications, such as pharmacies, cosmetics, and solvents. Bagasse hydrolysis into LA was preceded by alkaline-acid pretreatment to separate cellulose from hemicellulose and lignin. This treatment could minimize the disturbance of these unwanted components, so that LA synthesis would be more optimal. Pretreated bagasse contained 82.64% cellulose, about two-fold from the non-pretreated one. It was hydrolyzed with hydrochloric acid (HCl), which acts as a catalyst (a Bronsted acid), at 150-170 oC, 0.1-1 M catalyst concentration, 1-10% solid-to-liquid (cellulose:catalyst-solution) ratio, and 0-200 minutes reaction time. The range of LA yield values obtained in the study were between 15-64.05%. The maximum LA yield was obtained at a temperature of 160 oC, 1 M catalyst concentration, and 1% solid-to-liquid ratio. The high LA yield indicates the importance of pretreatment supported by optimal conditions of synthetic reaction. The reaction route involved in hydrolysis was cellulose-glucose-levoglucosan (LG)-hydroxymethylfurfural (HMF)-LA. The result exhibits that temperature and catalyst concentration do not significantly affect the maximum potential LA yield. However, higher temperatures and catalyst concentration can accelerate the time to achieve the maximum potential LA yield. Meanwhile, the LA yield increases with a lower solid-to-liquid ratio. In contrast to previous studies, this study evaluated the reaction model in a more precise way using combination of models, considering that the reaction occurs between solid and liquid. The heterogeneous reaction model, namely the shrinking core model (SCM) for cellulose conversion to glucose and the first-order homogeneous reaction model for glucose to LA reaction, give good fitting results. The more appropriate reaction model is expected to be the basis of scale-up process carried out for industry one day. The results of this research have the potential to be applied for various other biomass raw materials with some improvements based on their characteristics which can be studied in the future.

Efficient Leaching Process of Valuable Elements from Gibbsite Ore Materials in Talet Seleim, Southwestern, Sinai, Egypt Using Green and Ecofriendly Lixiviant Agent: Optimization, Kinetic and Thermodynamic Study

Here, valuable elements in Talet Seleim, Southwestern, Sinai, Egypt was leaching using methanesulfonic acid (MSA) as an environmental-friendly and ecofriendly lixiviant agent. The effects of methane sulfonic acid (MSA) concentration, time of leaching reaction, temperature, liquid/solid ratio (L/S) and stirring speed on dissolution of valuable elements in MSA were studied. The optimized conditions for dissolution of various metals were: methane sulfonic acid concentration; 150g/L, dissolution time; 300 min, temperature; 363K, liquid to solid ratio; 4 ml/g and stirring speed; 400 rpm/min. The dissolution efficiency of Zn, Cu, Ni and Pb are 81.8%, 79.47%, 76.6%, and 70.7%, respectively under the optimal conditions. Different mathematical kinetic models for the dissolution process in MSA were studied since it is very important for economic metal dissolution. The experimental data were best fitted by fitted by pseudo-second-order homogeneous reaction model, whilst lead (Pb) was best fitted the diffusion through the product or ash layer. The activation energies of the dissolution processes of different metals were evaluated. Overall, the MSA leaching system provides an efficient, clean and environmental-friendly method for dissolution of valuable metals. It can be a promising alternative for inorganic acids.

The combustion performance of sustainable aviation fuel with hydrogen addition

Hydrogen (H2) aircraft have been proposed for the “Fly Net Zero” target. The combination of jet fuel and H2 was offered to successfully operate the jet engine with H2 without further combustor modification. The current work used hydro-processed renewable jet fuel (HRJ) and experimentally investigated its combustion properties and H2 addition in the constant volume combustion chamber (CVCC). Experiments were performed at the initial temperature (Tini) from 600 K to 818 K, initial pressure (Pini) 10, 15 bar and equivalence ratio (φ) = 0.5. Normal spray ignition (SPI) and direct injection spark ignition (DISI) were studied. Overall, HRJ has a shorter ignition delay (ID) for SPI. At 600 K, adding 10% and 20% H2 to HRJ increased ID to 12.68% and 38.46%, respectively. As Tini rose to 725 K, increment in ID was shortened to 5.96% and 20.47% with 10% and 20% H2 addition, respectively. For DISI, at 600 K, adding 10% and 20% H2 to HRJ shortens ID to 3.56% and 4.92%, respectively. When comparing the ID of DISI with the SPI, ID was shortened to 84.64% and 91.77% for 10% and 20% H2 addition, respectively. Emission results showed that adding H2 reduced CO2, while NOx emissions were increased. Ansys Chemkin-Pro was used to run numerical simulations of a zero-dimensional (0-D) closed homogeneous batch reactor model (CHBR). An existing HRJ mechanism was adopted, and H2 elementary reaction rate constant factors were updated for better model predictions. The updated model was under prediction with the experimental ID periods. The simulation results showed that the reaction H2+OH = H + H2O is the primary cause for consuming OH radicals with H2 addition, leading to an increase in fuel ID. At higher temperatures, two major reactions (HO2 + H2 = H2O2 + H, and HO2+HO2 = H2O2 + O2) followed by H2O2 = OH + OH are accountable for reproducing OH radicals. Thus, the fuel ID was shorter.

A modified JFNK with line search method for solving k-eigenvalue neutronics problems with thermal-hydraulics feedback

The k-eigenvalue neutronics/thermal-hydraulics coupling calculation is a key issue for reactor design and analysis. Jacobian-free Newton-Krylov (JFNK) method, featured with super-linear convergence rate and high efficiency, has been attracting more and more attention to solve the multi-physics coupling problem. However, it may converge to the high-order eigenmode because of the multiple solutions nature of the k-eigenvalue form of multi-physics coupling issue. Based on our previous work, a modified JFNK with a line search method is proposed in this work, which can find the fundamental eigenmode together with thermal-hydraulics feedback in a wide range of initial values. In detail, the existing modified JFNK method is combined with the line search strategy, so that the intermediate iterative solution can avoid a sudden divergence and be adjusted into a convergence basin smoothly. Two simplified 2-D homogeneous reactor models, a PWR model, and an HTR model, are utilized to evaluate the performance of the newly proposed JFNK method. The results show that the performance of this proposed JFNK is more robust than the existing JFNK-based methods.

Modeling and simulation of the startup of the coupling reactor for Industrial-Scale production of Diethyl oxalate

A one-dimensional homogeneous reactor model was developed to simulate the dynamic behavior of a fixed-bed reactor for a catalytic coupling reactor of carbon monoxide and ethyl nitrite to diethyl oxalate. Reactor modeling was performed using a comprehensive numerical model that was simulated using Simulink. The power law kinetic model was applied for simulating the catalytic coupling reaction considering the main and side reactions. The heat of reaction was calculated with respect to the reacted moles of ethyl nitrite for each reaction. When the simulated model reached a steady state, the predicted results were in agreement with the actual data that was collected from an already established pilot plant fixed bed reactor. The startup dynamic behavior of hypothetical industrial-scale production of diethyl oxalate at 78,000 tons per year was simulated. The system reached steady-state within 14–16 min at a space velocity of 1400 h−1.

Mechanistic insights into homogeneous electrocatalytic reaction for energy storage using finite element simulation

• Electrocatalytic reactions for energy storage is studied by finite element modelling. • Reaction rate constant of HMF and L-cysteine is determined by SWV. • Increase of potential frequency and increment weakens the split current peaks in SWV. • Potential amplitude increase results in conspicuous current protuberance in SWV. The application of homogeneous electrocatalytic reactions in energy storage and conversion has driven surging interests of researchers in exploring the reaction mechanisms of molecular catalysts. In this paper, homogeneous electrocatalytic reaction between hydroxymethylferrocene (HMF) and L-cysteine is intensively investigated by cyclic voltammetry and square wave voltammetry for which, the second-order rate constant ( k ec ) of the chemical reaction between HMF + and L-cysteine is determined via a 1D homogeneous electrocatalytic reaction model based on finite element simulation. The corresponding k ec (1.1 (mol·m −3 ) −1 ·s −1 ) is further verified by linear sweep voltammograms under the same model. Square wave voltammetry parameters including potential frequency ( f ), increment ( E step ) and amplitude ( E SW ) have been comprehensively investigated in terms of the voltammetric waveform transition of homogeneous electrocatalytic reaction. Specifically, the effect of potential frequency and increment is in accordance with the potential scan rate in cyclic voltammetry and the increase of pulsed potential amplitude results in a conspicuous split oxidative peaks phenomenon. Moreover, the proposed methodology of k ec prediction is examined by hydroxyethylferrocene (HEF) and L-cysteine. The present work facilitates the understanding of homogeneous electrocatalytic reaction for energy storage purpose, especially in terms of electrochemical kinetics extraction and flow battery design.

Insights into kinetics extraction of the homogeneous electrocatalytic reaction between TMPD and ascorbic acid by cyclic voltammetry

• Reaction rate constant between TMPD •+ and AA is determined by a finite element model. • The waveform transition behavior hinders the kinetics extraction of redox mediation. • A rate constant of 2.61 (mol m −3 ) −1 s −1 is obtained from the proposed methodology. As a continued research interest for energy conversion and chemical analysis purpose, illustrating the reaction kinetics of homogeneous electrocatalytic reaction is crucial in the understanding of redox mediation process. In this paper, the reaction kinetics of the homogeneous electrocatalytic reaction between N,N,N’,N’-tetramethyl- para -phenylene-diamine (TMPD) and ascorbic acid (AA) is extracted via a 1D homogeneous electrocatalytic reaction model based on finite element methods. The experimental voltammograms reveal the waveform transition in terms of kinetic parameter and excess factor and an oxidative pre peak is observed at the scan rate of 1 mV s −1 . Based on the results above, the same 1D homogeneous electrocatalytic reaction model is employed for the extraction of reaction rate constant between TMPD •+ and AA. A transition region of the voltammetric waveform is illustrated under different scan rates and the methodology for the kinetics extraction under specific scan rate is defined. The obtained k e value is (2.61 ± 0.11 (mol m −3 ) −1 s −1 ) and this value is further verified by experimental voltammograms under various scan rates and substrate concentrations. In conclusion, the proposed kinetics extraction methodology reflects the electrocatalytic reaction between TMPD and AA. Also, the employment of waveform transition region facilitates the understanding of the redox mediation process.

Reduced order modeling for coupled thermal-hydraulics and reactor physics problems

The development of a new generation of reactor presents several modelling challenges that cannot be effectively addressed by traditional tools used for Light Water Reactors. Multi-physics approaches allow for a comprehensive modeling of reactor cores, as they intrinsically couple the involved physics (i.e. fluid-dynamics, heat transfer, neutronics, thermo-mechanics), but require intense computational efforts that preclude their use in reactor control applications. This work aims at applying a Reduced Order Model (ROM) technique to multi-physics modelling. Such objective is achieved through a ROM technique previously used for Navier-Stokes equations and thermal-hydraulics problems (POD-FV-ROM). The technique used in this article, is built on a modeling framework developed ad-hoc for the Finite Volume (FV) scheme and relies on the Proper Orthogonal Decomposition (POD) and the Method of Snapshots. The reduced order multi-physics approach outlined in this work has been tested with success on a Lid-Driven-Cavity-based homogeneous reactor model. Reduced-order simulations have reproduced accurately the full order velocity, temperature, neutron flux and precursor concentration fields, resulting in relative L2 norms of the differences between full order and reduced order simulations below 1 % for all the considered fields.

A novel developed weighted exponential sum model for char cloud conversion behavior under air- and oxy-combustion: Experiments and kinetics modeling analysis

Comprehension of the fossil fuel chemical reaction conversion behavior benefits to insight micro physico-chemistry mechanism of burning chemical kinetics especially for conventional air-fired combustion and oxyfuel combustion. Detailed combustion reaction experiments and a novel developed kinetics model were proposed to investigate coal char conversion behavior under enriched-oxygen and high carbon dioxide dilution environment compared with air environment in present work. Primary characteristic parameters, i.e., combustion conversion rate, conversion ratio, burnout time, etc., mainly affected by limited chemical interactions between char oxidation reaction and gasification reaction, were studied under typical environments, i.e., O2/CO2, O2/Ar, CO2/Ar, O2/N2, using detailed experiments and a novel developed kinetics model, i.e., the weighted exponential sum model (WESM). Present kinetics predictions were also compared with previous typical kinetics models, i.e., the homogeneous reaction model (HRM), the shrinking core model (SCM), the modified volumetric reaction model (MVRM). Results showed that present kinetics model gave relatively more coherent predictions of the char conversion rate, conversion ratio, the maximum conversion rate and burnout time compared with those predicted by HRM, SCM and MVRM models, respectively. Meanwhile, the contribution ratio from endothermal gasification chemical reaction, i.e., C+CO2→2CO, on char maximum conversion rate was 41.1% and 45.2% in 1473 K and 1663 K, respectively. Correspondingly, the maximum and average interaction contribution ratios (χinteramax,χinteraave) decreased as 9.0% and 1.7%. The maximum rate ratio for oxyfuel combustion increased from 52.7% to 61.7%, and the average rate ratio slightly increased from 52.5% to 54.2% in these combustion reactions.

CO2 gasification of straw biomass and its correlation with the feedstock characteristics

In order to understand the straw biomass gasification process in depth, the weight loss behaviors, reactivity and kinetics during non-isothermal CO2 gasification of seven straw biomass were investigated using a thermogravimetric analyzer, and the correlations between gasification characteristics and feedstock characteristics of straw biomass were also explored. It was found that, in the pyrolysis stage, the weight loss behaviors and reactivity showed a good regularity and were mainly positively correlated with the cellulose content, but negatively correlated with the lignin content. Corn straw, wheat straw and rice straw had higher pyrolysis reactivity due to the higher total contents of cellulose and hemicellulose. As for the char gasification stage, weight loss, the maximum weight loss rate and its corresponding temperature were mainly determined by the fixed carbon content, and the reactivity was largely correlated with the catalytic ash components. Corn straw, cotton straw, and soybean straw presented better char gasification performance. Kinetics results showed that, for all straw biomass, the homogeneous reaction model described the pyrolysis stage better, while for the char gasification stage, the shrinking core model was more suitable. The kinetic compensation effect existed in both pyrolysis and char gasification reaction stages for all straw biomass.

Intensification of Processes for the Production of Ethyl Levulinate Using AlCl3·6H2O

A process for obtaining ethyl levulinate through the direct esterification of levulinic acid and ethanol using AlCl3·6H2O as a catalyst was investigated. AlCl3·6H2O was very active in promoting the reaction and, the correspondent kinetic and thermodynamic data were determined. The reaction followed a homogeneous second-order reversible reaction model: in the temperature range of 318–348 K, Ea was 56.3 kJ·K−1·mol−1, whereas Keq was in the field 2.37–3.31. The activity of AlCl3·6H2O was comparable to that of conventional mineral acids. Besides, AlCl3·6H2O also induced a separation of phases in which ethyl levulinate resulted mainly (>98 wt%) dissolved into the organic upper layer, well separated by most of the co-formed water, which decanted in the bottom. The catalyst resulted wholly dissolved into the aqueous phase (>95 wt%), allowing at the end of a reaction cycle, complete recovery, and possible reuse for several runs. With the increase of the AlCl3·6H2O content (from 1 to 5 mol%), the reaction proceeded fast, and the phases’ separation improved. Such a behavior eventually results in an intensification of processes of reaction and separation of products and catalyst in a single step. The use of AlCl3·6H2O leads to a significant reduction of energy consumed for the final achievement of ethyl levulinate, and a simplification of line-processes can be achieved.

Recycling of the Diamond-Wire Saw Powder Waste to Prepare Silica Nanoparticles

Large amounts of hazardous diamond-wire saw powder (DWSP) waste were generated in the photovoltaic (PV) industry, which not only wasted the valuable resources but also polluted the environment and harmed the human health. In this study, a low-energy and simplified recycling method of the DWSP to prepare the silica nanoparticles (Si NPs) was proposed. The effect of sodium hydroxide concentration, temperature and dwell time on the leaching efficiency was investigated and optimized by the response surface methodology based on the Box-Behnken design (BBD) experiment. The optimal conditions were that the sodium hydroxide concentration of 1.41 mol/L, temperature of 87.16 °C and dwell time of 1.77 h. Under the optimized conditions, the leaching efficiency reached 99.80%, which was almost equal to the theory value predicted by the BBD model (99.68%). Kinetic analysis indicated that the dissolving process of the DWSP was consistent with the second-order homogeneous reaction model, and the apparent activation energy was 69.54 kJ/mol. Moreover, the final product was quite pure amorphous Si NPs with trace amount of absorbed water and sodium chloride impurity. This method is a feasible way to commercially recycle the DWSP in a low-energy and eco-friendly manner.

Model validation of the Ca-Cu looping process

In this work an experimental demonstration and validation of a 1-D pseudo homogeneous reactor model for the Ca-Cu looping process is presented. The Ca-Cu looping process is a highly integrated process based on sorption-enhanced reforming of methane using CaO as sorbent, combined with chemical looping of a Cu-based oxygen carrier to provide the energy for the regeneration of the sorbent. Experiments were carried for all three involved process steps. The sorption-enhanced reforming step was studied at two different scales under different conditions. The effects of different bed compositions, operating temperatures, methane residence times and different steam-to-carbon ratios on the hydrogen production rate have been evaluated. A methane space velocity of 2.26 kgCH4h−1 kgcat−1 and a temperature range of 600–650 °C were found to be the most appropriate for optimal performance of the SER step and when increasing the steam-to-carbon ratio the hydrogen fraction produced increased.Moreover, complete cycles (consecutive steps of sorption-enhanced steam reforming, oxidation and reduction/calcination) have been performed in a medium-scale packed bed reactor (0.6 m length), where the three functional materials needed for this process were physically mixed. The Ca-Cu process was successfully demonstrated experimentally, forming 90% of H2 in the sorption enhanced reforming stage and regenerating well the sorbent in the reduction/calcination step.The experimental results obtained from the experimental campaign have been used to validate a packed bed reactor model and a good agreement between the model and the experimental data was found.

Reduced reaction mechanism for natural gas combustion in novel power cycles

Abstract We study the auto-ignition behavior of several natural gas surrogates; in particular, the influence of ethane and propane on the ignition delay time of methane is studied. A rapid compression machine was used to obtain experimental measurements of ignition delay times at two different compression pressures (10 and 15 bar) and a wide range of compression temperatures (904–1151 K), for both stoichiometric and fuel-rich ( ϕ = 2 ) mixtures. The experimental results are compared to homogeneous reactor model simulations (HOMREA). A first set of simulations treats chemical reaction in detail, using the AramcoMech 3.0 reaction mechanism. It was observed that the mechanism predicted the observed ignition delay times well. Experimental results indicate that both ethane and propane have an ignition enhancing effect on the mixture, shortening the ignition delay time. Propane, in particular, appears to have a higher influence compared to ethane at low temperatures. In general, fuel rich mixtures show shorter ignition delay times. These trends are well captured by the AramcoMech 3.0 mechanism showing great agreement with experimental data. To make the chemistry underlying the AramcoMech 3.0 available in a concise form, e.g., for CFD applications or similar, a reduced chemistry scheme was developed (reaction mechanism with 49 species and 332 reactions). Simulations using the reduced model showed a similarly good agreement to which was developed based on the detailed AramcoMech 3.0 reaction mechanism. The experimental results are predicted well by the reduced model, in a similar fashion like the detailed scheme. Furthermore, the reduced reaction mechanism is validated against experimental data found in literature, covering a wide range of conditions. This establishes the reduced model as a useful, computationally efficient substitute for describing the effect of ethane and propane onto the auto-ignition of methane.