A new approach to utilize Hydrogen as a safe fuel

Abdel-Aal, Hussein K.; Sadik, M.; Bassyouni, M.; Shalabi, Mazen A.

doi:10.1016/j.ijhydene.2005.07.007

Cited by 76 publications

(18 citation statements)

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“…H.K Abdel Aal carried out one such study to generate a safe method of H 2 enrichment by using methane as a blending agent with H 2 . He used Le Chatelier's principle for predicting flammability and determining a safe ratio [19].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine

et al. 2021

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The prevailing massive exploitation of conventional fuels has staked the energy accessibility to future generations. The gloomy peril of inflated demand and depleting fuel reservoirs in the energy sector has supposedly instigated the urgent need for reliable alternative fuels. These very issues have been addressed by introducing oxyhydrogen gas (HHO) in compression ignition (CI) engines in various flow rates with diesel for assessing brake-specific fuel consumption (BSFC) and brake thermal efficiency (BTE). The enrichment of neat diesel fuel with 10 dm3/min of HHO resulted in the most substantial decrease in BSFC and improved BTE at all test speeds in the range of 1000–2200 rpm. Moreover, an Artificial Intelligence (AI) approach was employed for designing an ANN performance-predicting model with an engine operating on HHO. The correlation coefficients (R) of BSFC and BTE given by the ANN predicting model were 0.99764 and 0.99902, respectively. The mean root errors (MRE) of both parameters (BSFC and BTE) were within the range of 1–3% while the root mean square errors (RMSE) were 0.0122 kg/kWh and 0.2768% for BSFC and BTE, respectively. In addition, ANN was coupled with the response surface methodology (RSM) technique for comprehending the individual impact of design parameters and their statistical interactions governing the output parameters. The R2 values of RSM responses (BSFC and BTE) were near to 1 and MRE values were within the designated range. The comparative evaluation of ANN and RSM predicting models revealed that MRE and RMSE of RSM models are also well within the desired range but to be outrightly accurate and precise, the choice of ANN should be potentially endorsed. Thus, the combined use of ANN and RSM could be used effectively for reliable predictions and effective study of statistical interactions.

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Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine

et al. 2021

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“…Although many investigations have proved that the hydrogen addition is able to improve the engine performance, the hydrogen refilling and on-board storage are still barriers blocking the application of hydrogen on the vehicles [35]. In recent years, the on-board hydrogen generator which produces hydrogen by water electrolysis provides a feasible solution for the hydrogen supplement on the vehicles.…”

Section: Introductionmentioning

confidence: 99%

Performance of a hydroxygen-blended gasoline engine at different hydrogen volume fractions in the hydroxygen

Wang

Zhang

et al. 2012

International Journal of Hydrogen Energy

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“…0.5) means that each combustion reaction proceeds rapidly, even in comparison with the simplest (saturated) hydrocarbon CH 4 , which requires four times as much O 2 . The combination of high molecule velocity and rapid combustion leads to a flame velocity which is eight times higher than for natural gas/air or propane/air mixtures [30].…”

Section: Hydrogen Safetymentioning

confidence: 96%

“…It is not an easy gas to confine, not only because of the speed with which it can move, but also because in comparison with all other fuels it is by far the most buoyant. Therefore, in ventilated conditions it is difficult to ignite large quantities of it, and even harder to detonate [19,30]. In deliberate deflagration experiments inside a vented metal enclosure, Hooker et al measured overpressures of at most 50 mbar from mixtures up to 14% H 2 in air.…”

Section: Hydrogen Safetymentioning

confidence: 99%

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Materials Coatings and Enhanced Characterisation for Alkaline Water-Splitting Devices

Gannon¹

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A number of material coatings were investigated, specifically for 316-grade stainlesssteel electrodes, for use with alkaline water-splitting electrolysis. The aim was to enhancelongevity, particularly with respect to the highly intermittent usage that is typical of renewableenergy generation, and to increase activity. Long-term experiments were conductedover many thousands of cycles of on-off accelerated ageing at constant current density. Theeffects of ageing were analysed using chronopotentiometry, cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), scanning electron microscopy, energy dispersivex-ray spectroscopy, x-ray photoelectron spectroscopy and gas chromatography. It was foundthat titanium nitride did not have high activity for the hydrogen evolution reaction (HER),and underwent rapid oxidation and destruction if used as an anode. A new version ofelectrodeposited Raney nickel was developed that demonstrated improved activity, includingan overpotential for the HER at 10mAcm-2 of just 28 mV. As a bifunctional catalystit demonstrated an overpotential at 10mAcm-2 of just 319 mV, making it the second mostactive catalyst known, and certainly the simplest to deposit. This activity was traced to theincreased electrochemical surface area of the coating, which was higher as deposited, andincreased by up to a factor of three after ageing. During surface-area measurements, anapparent anomaly was discovered between results obtained for the same electrode via EISand CV. New methods of equivalent circuit fitting to transient waveforms were developed,and the anomaly was explained by time-domain simulations of the constant-phase elementrepresentation of the double-layer capacitance. A zero-gap electrolyser was constructed inorder to investigate its performance, and it was found that woven stainless-steel mesh couldoperate as a gas-separation membrane.

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A new approach to utilize Hydrogen as a safe fuel

Cited by 76 publications

References 0 publications

Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine

Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine

Performance of a hydroxygen-blended gasoline engine at different hydrogen volume fractions in the hydroxygen

Materials Coatings and Enhanced Characterisation for Alkaline Water-Splitting Devices

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