Simulation of Hydrogen Fuel Combustion in Neon-oxygen Circulated Compression Ignition Engine

Taib, Norhidayah Mat; Mansor, Mohd Radzi Abu; Mahmood, Wan Mohd Faizal Wan

doi:10.37934/cfdl.12.12.116

Cited by 12 publications

(5 citation statements)

References 19 publications

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“…The authors surveyed the alternative application of nanoparticles in increasing the cooling rate within the house environment for human comforts. Furthermore, work on applying developed wood-polypropylene plastic-cement for building roofing system to suit eco-friendly materials [26][27][28]. This study has carried out using PU form in creating the roofing system for thermal comfort.…”

Section: Results Of Ann Prediction Analysis Of Pu-al Roofing Systemmentioning

confidence: 99%

Prediction and Performance Investigation of Polyurethane Foam as Thermal Insulation Material for Roofing Sheet Using Artificial Neural Network

Essien

Bolu

Okokpujie

et al. 2021

ARFMTS

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The prediction and application of Polyurethane Foam in developing roofing sheets cannot be over-emphasized when considering the environmental changes coursed by thermal radiation. This paper presents an artificial neural network application to model and predict the indoor temperature resistance of polyurethane (PU) roofing in residential buildings. The study employed a data logger to measure the indoor and outdoor temperatures for three simulation environments (i.e., morning, afternoon, and evening) for two hours each. Furthermore, the authors employed the Levenberg-Marquardt algorithm to transform and predict the indoor temperature obtained in the residential building's polyurethane roofing house. The result shows that the PU roofing system could absorb the heat and reduce the house model's temperature with 6.9% in the morning, afternoon 15.8%, and 6.8% in the evening when compared with the temperature outdoor environment. The ANN was also able to train, test, and validate the experimental temperature results with 92.86%, 93.92%, and 95%, respectively. The mean square error and a testing error occurs at 0.1707 and 0.1689. Therefore, this study concluded that ANN's application in predicting the thermal insulation material such as the PU roofing system is highly efficient and will increase the manufacturer's performance evaluation. It has also created significant awareness of the community in employing the PU roofing system for residential buildings, which will reduce the rate of energy consumption in buildings.

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Section: Results Of Ann Prediction Analysis Of Pu-al Roofing Systemmentioning

confidence: 99%

Prediction and Performance Investigation of Polyurethane Foam as Thermal Insulation Material for Roofing Sheet Using Artificial Neural Network

Essien

Bolu

Okokpujie

et al. 2021

ARFMTS

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“…Using CFD modelling, neon-oxygen was investigated for the stabilization of hydrogen ignition under standard ambient ingestion conditions. Results indicated that the mean initial hydrogen temperature in neon-oxygen atmospheres was lower than in oxygen-argon environments [35].…”

Section: Introductionmentioning

confidence: 88%

Numerical Investigation and Comparison Between Internal and External Liquid Biofuel Pre-Evaporation in Micro Gas Turbine Chamber

Mohammed R. Abdulwahab,

Khaled Ali Al-attab Al-attab,

Mohamad Yusof Idroas

2023

CFDL

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Due to the current global crises related to fossil fuels (prices up and sources shortage) and in order to diminish the remnants and the negative effects of harmful gas emission (CO and NOx), the fielded researchers and academics try to find alternative source of fossil fuel. Bio fuels consider one of promised source of clean energy. Palm vegetable oil widely separated in Malaysia which considered one of dominant production of this oil globally. Atomization and evaporation radically represent a challenge when using liquid fuel especially fuels with high viscosity and density which is not easy to atomize and evaporate without pre-heating or blende it. A numerical investigation has been proposed to do comparison between two different external evaporative chamber and internal evaporation without using conventional liquid fuel evaporation methods. Findings revealed that both configurations have a good performance in term of emission concentrations and turbine inlet temperature (TIT) which was about 899 C with chamber using internal recycle tube evaporation with CO emission about 183 ppm with outer pre-evaporation chamber. Chamber with internal evaporation was chosen due to technical and fabrication reasons. Besides that, a six different inlet and exhaust ducting ports tested with the chosen chamber with internal recycle tube evaporation chamber, all configurations revealed a non-symmetrical flame flow near chamber exhaust which is not desirable as it will cause turbine unstable operation. The configuration with square duct exhaust was suitable with stable and symmetric flame flow field and slight small CO emission about 312 ppm.

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“…Therefore, these countries are in a position to use their resources for their development. Considering these factors, biofuels are considered as one of the main elements which can replace fossils fuels (Mat Taib et al 2020;Reddy and Nanthagopal 2021).…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental investigation of exergy, performance, emissions, combustion characteristics, and cyclic variations of CI engine fueled Karanja oil blended camphor oil and diesel blended camphor oil.

Gurusamy,

Subramaniyan,

Ponnusamy

2023

Preprint

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This article compares the influence of the blending the low-viscous oxygenated camphor oil with hydrocarbon diesel fuel and high viscous oxygenated Karanja oil. The experiment is conducted in a four-stroke 1-cylinder naturally aspirated Kirloskar compression ignition (CI) engine coupled with an eddy current dynamometer. The three types of fuel blends are prepared by blending the camphor oil with Karanja oil on the volume ratio of 30:70 (C30K70), 50:50 (C50K50), and 70:30 (C70K30), and the other three types of fuels are prepared by blending the camphor oil with diesel on the volume ratio of 30:70 (C30D70), 50:50 (C50D50), and 70:30 (C70D30). The results reveal improvement in the engine performance characteristics of the brake thermal efficiency and brake specific energy consumptions due to the blending of camphor oil either with hydrocarbon diesel fuel or Karanja oil. Further, it also reduces the CO, HC, and smoke emissions with an increase in NO and CO2 emissions. The rate of pressure rise, net heat release rate and cyclic irregularities found to increase with increase in proportion of the camphor oil. The P-v diagram also confirms the lower heat addition period for the C70D30 and C70K30 with an increase in brake thermal efficiency. The actual compression ratio and the actual cut-off ratio are found to have a reasonable correlation with the thermal efficiency of the engine. Second-order polynomial equations were obtained for the engine characteristics using the Curve fitting method, and the characteristic equations confirmed the confidence level of 95%.

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Simulation of Hydrogen Fuel Combustion in Neon-oxygen Circulated Compression Ignition Engine

Cited by 12 publications

References 19 publications

Prediction and Performance Investigation of Polyurethane Foam as Thermal Insulation Material for Roofing Sheet Using Artificial Neural Network

Prediction and Performance Investigation of Polyurethane Foam as Thermal Insulation Material for Roofing Sheet Using Artificial Neural Network

Numerical Investigation and Comparison Between Internal and External Liquid Biofuel Pre-Evaporation in Micro Gas Turbine Chamber

Numerical and experimental investigation of exergy, performance, emissions, combustion characteristics, and cyclic variations of CI engine fueled Karanja oil blended camphor oil and diesel blended camphor oil.

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