Showing 6 results for Biodiesel
P. Mohammadi, A.m. Nikbakht, M. Tabatabaei, Kh. Farhadi,
Volume 2, Issue 3 (7-2012)
Abstract
Global air pollution is a serious threat caused by excessive use of fossil fuels for transportation. Despite the
fact that diesel fuel is a big environmental pollutant as it contains different hydrocarbons, sulphur and crude
oil residues, it is yet regarded as a highly critical fuel due to its wide applications. Nowadays, biodiesel as a
renewable additive is blended with diesel fuel to achieve numerous advantages such as lowering CO2, and
CO emissions as well as higher lubricity. However, a few key drawbacks including higher production cost,
deteriorated performance and likelihood to increase nitrogen oxide emissions have also been attributed to
the application of diesel-biodiesel blends. Expanded polystyrene (EPS), known as a polymer for packaging
and insulation, is an ideal material for energy recovery as it holds high energy value (1 kg of EPS is
equivalent to 1.3 liters of liquid fuel). In this study, biodiesel was applied as a solvent of expanded
polystyrene (EPS) during a special chemical and physical treatment. Various percentages of EPS in
biodiesel blended diesel were tested to evaluate the fuel properties, emissions and performance of CI
engine. The results of the variance analysis revealed that the addition of the additive improved diesel fuel
properties by increasing the flash point as well as the reduction of density and viscosity. Despite a 3.6%
reduction in brake power, a significant decrease in brake specific fuel consumption (7.26%) and an increase
in brake thermal efficiency (7.83%) were observed at the full load and maximum speed of the engine.
Additionally, considerable reductions of CO, CO2, NOx and smoke were achieved.
E. Alizadeh Haghighi, S. Jafarmadar, H. Taghavifar,
Volume 3, Issue 4 (12-2013)
Abstract
Artificial neural network was considered in previous studies for prediction of engine performance and
emissions. ICA methodology was inspired in order to optimize the weights of multilayer perceptron (MLP)
of artificial neural network so that closer estimation of output results can be achieved. Current paper aimed
at prediction of engine power, soot, NOx, CO2, O2, and temperature with the aid of feed forward ANN
optimized by imperialist competitive algorithm. Excess air percent, engine revolution, torque, and fuel
mass were taken into account as elements of input layer in initial neural network. According to obtained
results, the ANN-ICA hybrid approach was well-disposed in prediction of results. NOx revealed the best
prediction performance with the least amount of MSE and the highest correlation coefficient(R) of 0.9902.
Experiments were carried out at 13 mode for four cases, each comprised of amount of plastic waste (0, 2.5,
5, 7.5g) dissolved in base fuel as 95% diesel and 5% biodiesel. ANN-ICA method has proved to be selfsufficient,
reliable and accurate medium of engine characteristics prediction optimization in terms of both
engine efficiency and emission.
S. Jafarmadar,
Volume 5, Issue 2 (6-2015)
Abstract
Mr Mani Ghanbari, Dr Gholamhassan Najafi, Dr Barat Ghobadian,
Volume 10, Issue 4 (12-2020)
Abstract
In this paper, the exhaust emissions of a diesel engine operating with different nanoparticles additives in diesel-biodiesel blended fuels were investigated. Firstly multi wall carbon nano tubes (CNT) with concentrations of 40, 80 and 120 ppm and nano silver particles of 40, 80 and 120 ppm with nano-structure were produced and then added as additives to the diesel-biodiesel blended fuels. A four-stroke six cylinders diesel engine was fuelled with the new fuels and operated at different engine speeds. The experimental results showed that CO2 emission increased by 17% with an increase in nanoparticles concentrations at diesel-biodiesel blended fuel. Also, CO emission with nanoparticles added to biodiesel-diesel fuel was 25.17% lower than neat diesel fuel. The results showed a decrease up to 28.56% in UHC emission using the silver nano-diesel-biodiesel blended fuel. NOx emission increased with adding nanoparticles to the blended fuels compared to the neat diesel fuel. The experimental results demonstrated that silver & CNT nanoparticles can effectively be used as additive in diesel-biodiesel blended fuel in order to enhance complete combustion of the air-fuel mixture and reduce the exhaust emissions. Consequently the nano biodiesel can be considered as an alternative and environment friendly fuel for CI engine.
Ms Hasyuzariza Muhamad Tobib, Assc. Prof Abdul Aziz Hairuddin, Assc. Prof Nuraini Abdul Aziz, Mr Muntasser Al Anbagi, Dr Muhamad Md Noor, Ms Suriaidawati Ayob,
Volume 11, Issue 2 (6-2021)
Abstract
HCCI engines have become the attention of research lately due to their advantages in reducing the emissions level, and their fuelling ability with alternative fuels. For this purpose, a single cylinder diesel engine with a port fuel injector and heated intake air were used to operate the HCCI engine at 2700 rpm using four different blends of POB biodiesel. The parameters varied for the study were different λ and intake air temperature. When using diesel fuel on HCCI mode, it is found that the engine power, torque, and BTE are lower and fuel consumption is higher compared to conventional Compression Ignition Direct Injection (CIDI) mode. The in-cylinder pressure pattern for HCCI mode shows that the combustion is advanced, and the in-cylinder pressure peak is higher at rich mixture compared to CIDI mode. The in-cylinder pressure decreases in the case of higher amount of biodiesel. Combustion intensity for biodiesel fuel is lower, which affects the heat release rate, whereas a high intake temperature triggers the combustion easily, enhances the fuel mixture auto-ignition proses. Increasing the amount of biodiesel will increase the NOx emissions insignificantly, however it is still lower than that of CIDI. POB based biodiesel improved the emissions of HCCI engines.
Abbas Zarenezhad Ashkezari, Reza Zirak,
Volume 13, Issue 2 (6-2023)
Abstract
In the present study, different regimes of wall impingement in biodiesel spray were investigated in terms of emissions of diesel engines and performance and the best model for simulating the DI diesel engines fueled by biodiesel blends was presented. As shown by the findings, all aspects of wall impingement were considered in Walljet model, and it properly predicted the fuel droplet size generated by decomposition and penetration. Thus, it is possible to use it for simulating the biodiesel fuel spray atomization at varying engine operating conditions through the adjustment of the model constants.
