Analysis of properties and estimation of optimum blending ratio of blended mahua biodiesel

Acharya, Neela; Nanda, Pradipta Kumar; Panda, S.; Acharya, Sonu

doi:10.1016/j.jestch.2016.12.005

Cited by 85 publications

(46 citation statements)

References 16 publications

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“…Different research and developments have been dedicated to the improvements of biofuels due to the adverse effects of fossil fuel on the environment [130]. However, the straight use of biofuels in a bid to replace existing fossil fuels have encountered various operational challenges due to their physicochemical properties [123,[130][131][132]. These challenges have led to the improvements of biofuel blends and emulsions in order to produce the fuel with desired physicochemical properties.…”

Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

“…Fuel blends are developed as a result of improving the overall properties of the fuel, whereby different types of fuel are mixed together in different proportion to achieve a definite developmental purpose, mostly the overall engine performance [133]. Algae biodiesel can be blended with petroleum diesel and bioethanol or in some cases used as an additive [41,123,130,131], to a diesel fuel without the need to modify the existing engine [134]. Nagane and Choudhari [111] established the possibility of blending algae biodiesel with petroleum diesel.…”

Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

“…This gave good overall results in both emission and engine performance, even when considering engine performance under variable engine compression ratios. Bioethanol up to 10% could also be blended with petroleum diesel and biodiesel without any modification to the existing diesel engine [130]. The oxygenating effect of algae biodiesel was complement with the addition of butanol to improve the performance efficiency of a four-cylinder diesel engine.…”

Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

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Algae biofuel: Current status and future applications

Adeniyi

Azimov

Burluka

2018

Renewable and Sustainable Energy Reviews

344

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An algal feedstock or biomass may contain a very high oil fraction, and thus could be used for the production of advanced biofuels via different conversion processes. Its major advantage apart from its large oil fraction is the ability to convert almost all the energy from the feedstock into different varieties of useful products. In the research to displace fossil fuels, algae feedstock has emerged as a suitable candidate not only because of its renewable and sustainable features but also for its economic credibility based on the potential to match up with the global demand for transportation fuels. Cultivating this feedstock is very easy and could be developed with little or even no supervision, with the aid of wastewater not suitable for human consumption while absorbing CO2 from the atmosphere. The overall potential for algae applications generally shows that this feedstock is still an untapped resource, and it could be of huge commercial benefits to the global economy at large because algae exist in millions compared to terrestrial plants. Algae applications are evident for everyday consumption via foods products, non-foods products, fuel, and energy. Biofuels derived from algae have no impact on the environment and the food supply unlike biofuels produced from crops. However, any cultivation method employed could control the operating cost and the technicalities involved, which will also influence the production rate and strain. The scope of this paper is to review the current status of algae as a potential feedstock with diverse benefit for the resolution of the global energy demand, and environmental pollution control of GHG.

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Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

Section: Algae Biofuel Blends and Emulsionsmentioning

confidence: 99%

See 1 more Smart Citation

Algae biofuel: Current status and future applications

Adeniyi

Azimov

Burluka

2018

Renewable and Sustainable Energy Reviews

344

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“…In other hand combinations (2,3,15,5,8,9,10,11,12,13) have values with less and fair accuracy because of a large margin between their respective values of 2 and R and also their percentage of RRSME between 10% and 20% for some and between 20% and 30% for others C Analysis of best performance The same data cited in the literature review above are used for analysis with Minitab. Only the combinations used in the analysis with ANN will be used here and then compared each other .…”

Section: Figure Iii2 Shows Viscosity Versus Fatty Acid Msementioning

confidence: 99%

“….35940/ijitee.E2266.039520 density and cetane number properties with the fatty acid individually does not provide a better result.F Analysis of Comparison between 2 (ANN) and2 …”

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confidence: 99%

Mathematical Models for Predicting the Biodiesel Properties

Bakande,

Kassem,

Çamur

2020

IJITEE

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Density, viscosity and cetane number are important physical properties of biodiesel as they participate in one way or another in the fuel metering, calibration and nozzle process during combustion. High and good accuracy of the physical properties of biodiesel will therefore lead to improved combustion and therefore better efficiency. The aim of this study is therefore to seek good and high precision by combining properties and comparing the analysis between ANN and RSM. Studies have been made by researchers to collect data. In this study the combination of properties is exploited. A total of 1360 data from the various studies has been collected and exploited. From this data after elimination and treatment 39 possible combinations were analyzed and compared by ANN and RSM. The result of simulation is: The best combinations: 𝝆 = 𝒇(𝑭𝒂) , 𝝂 = 𝒇(𝑭𝒂) , 𝒄𝒏 = 𝒇(𝑭𝒂) with 𝑹 𝟐 respectively equal to (0.9998, 0.9998 , 0.9987) and R equal to ( 0.9997,0.99971,0.9984) obtained with ANN simulation provide more accuracy than 𝑹 𝟐 ( 0.912 , 0.799 , 0.766 ) and R ( 0.837, 0.739 , 0.920) obtained with RSM simulation in general 𝑹 𝟐 obtained with ANN (0.9998, 0.9998 , 0.9987) provide good accuracy than 𝑹 𝟐 (0.9112,0.799,0.766) obtained with RSM . Also there is a good relationship between fatty acid and others properties since they provide good result. In general the overall regression coefficient R and the correlation coefficient 𝑹 𝟐 values of the combinations obtained in the simulation with the ANN provide better and good accuracy since their values are close to each other and all close to 1, and their mse tend towards 0. While the one obtained with RSM are distant from each other and distant of 0 so they provide an acceptable accuracy.it is also important to note that high accuracy of properties using RSM must have at least combination of three parameters. Also after every combination, the conclusion says there is a good relationship between fatty acid and other properties. Then for the future work, it will be benefit to combine fatty acid with others properties and evaluate result, also use another network to simulate.

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