Optimization of performance and exhaust emissions of single-cylinder diesel engines fueled by blending diesel-like fuel from Yang-hard resin with waste cooking oil biodiesel via response surface methodology

Katekaew, Somporn; Suiuay, Chokchai; Senawong, Kritsadang; Seithtanabutara, Varinrumpai; Intravised, Kemwat; Laloon, Kittipong

doi:10.1016/j.fuel.2021.121434

Cited by 33 publications

(6 citation statements)

References 87 publications

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“…In addition, an important contributing factor to the production of CO is the insufficient blending of air and fuel. The presence of this deficiency results in the creation of fuel-rich regions, characterised by a limited supply of oxygen that hinders the conversion of CO to carbon dioxide (CO 2 ) 39 . Figure 7 c demonstrates that at 1200 rpm the CO emissions was 0.0308, 0.0263, 0.0219, and 0.0236% for D100, GAB20, GAB20A, and GAB20T respectively.…”

Section: Resultsmentioning

confidence: 99%

Exergy-energy, sustainability, and emissions assessment of Guizotia abyssinica (L.) fuel blends with metallic nano additives

Abishek,

Kachhap,

Rajak

et al. 2024

Sci Rep

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This study extensively examined the impact of aluminium oxide (Al2O3) and titanium dioxide (TiO2) nanoparticles addition in the biodiesel fuel derived from Guizotiaabyssinica (L.) oil. The assessment of fuel blends, which were created by combining nanoparticles and biodiesel was conducted using energy, exergy, and sustainability indices. The highest recorded power output of 2.81 kW was observed for the GAB20A engine operating at 1800 rpm. The experimental results revealed that the GAB20A exhibited the lowest fuel consumption, with a recorded value of 203 g/kWh, when operated at 1600 rpm among all the tested blend fuels. The blend GAB20A exhibited the highest level of energy efficiency at 1600 rpm of 29.5%, as determined by the study. Simultaneously, it was observed that GAB20 exhibited the lowest energy efficiency at 1200 rpm among all the blend fuels at 25%. The emission levels of nitrogen oxides (NOx) and carbon monoxide (CO) were observed to be quite low, although a little rise in carbon dioxide (CO2) was detected. For validation of results the artificial neural network (ANN) was used and an average of 1.703% difference in energy efficiency, 2.246% decrease in exergy efficiency, and 1.416% difference in sustainability index was found.

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Section: Resultsmentioning

confidence: 99%

Exergy-energy, sustainability, and emissions assessment of Guizotia abyssinica (L.) fuel blends with metallic nano additives

Abishek,

Kachhap,

Rajak

et al. 2024

Sci Rep

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“…It is decided to use the RCCD model with the face as the focal point. The following correlation is used to determine the number of points or runs 45

n = 2^{p} + 2 p + c

where n is the total set of data points, p is designated as several input variables, and c denotes the number of replications at the axial points.…”

Section: Response Surface Methodology Approachmentioning

confidence: 99%

Performance optimization of solar pump operating by PV module

Singh,

Yadav,

Trivedi

et al. 2023

Env Prog and Sustain Energy

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In this research article, the objective of the work is to maximize the performance of solar pump based on input variables. The solar panel and motor pump set are the important parts of solar pump. The overall performance of the solar pump has been depending on the performance of solar panels and motor pump set. The tilt angle, surface azimuth angle, module temperature and speed of motor are most important input parameters on which whole performance of solar pump depends. So, for fulling these objectives a 5 hp (horsepower) solar pump has been installed in FET MJP Rohilkhand University, Bareilly located at 28.36° N, 79.43° E. The experimental data of output parameters at the different settings of input parameters and data generated by model equations have been optimized by the Response Surface Methodology (RSM) tool of Design of Experiments (DOE). The optimum setting of input parameters are Tilt Angle (TA) (36.22°), Surface Azimuth Angle (SA) (−1.26°), Module Temperature (MT), and speed of the motor (2169.69 RPM). On the optimum setting of input parameters, the values of the response are maximum Solar Flux (SF) (762 W/m2), maximum power output (3661.4578 W), minimum discharge (19.2681 m3/h), head developed (55.17 m), maximum motor efficiency (90.7488%), maximum exergetic efficiency (15.3799%), minimum Levelized cost of electricity (LCOE) (0.0361 $/KWh), maximum panel efficiency (17.1774%) and maximum overall efficiency (15.0117%).

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“…This is compared to the work conducted by Aydin et al [36] where an optimised biodiesel blend of 32% was arrived at for an engine load of 816 W considering engine performance and exhaust emissions. Similarly, in a RSM-based optimisation, 23% WCO biodiesel blend is suggested for an engine speed of 1700 rpm when taking into account factors of torque, brake power, BTE, and emission/pollution [34]. In previous works by the authors [33], a ~40% blend has been recommended for equal weightage on performance and emissions.…”

Section: Optimised Blendmentioning

confidence: 99%

A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India

Jeyaseelan

Samad

Rajkumar³

et al. 2023

Energy

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Optimization of performance and exhaust emissions of single-cylinder diesel engines fueled by blending diesel-like fuel from Yang-hard resin with waste cooking oil biodiesel via response surface methodology

Cited by 33 publications

References 87 publications

Exergy-energy, sustainability, and emissions assessment of Guizotia abyssinica (L.) fuel blends with metallic nano additives

Exergy-energy, sustainability, and emissions assessment of Guizotia abyssinica (L.) fuel blends with metallic nano additives

Performance optimization of solar pump operating by PV module

A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India

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