Effect of nanoparticles on diesel engines driven by biodiesel and its blends: A review of 10 years of research
C Jin, J Wei, B Chen, X Li, D Ying, L Gong… - Energy Conversion and …, 2023 - Elsevier
In recent years, environmental problems and energy shortages have prompted the search
for new alternative fuels to diesel engines. Biodiesel is recognized as one of the most …
for new alternative fuels to diesel engines. Biodiesel is recognized as one of the most …
A comprehensive review of stability enhancement strategies for metal nanoparticle additions to diesel/biodiesel and their methods of reducing pollutant
Y Chen, J Zhang, Z Zhang, B Zhang, J Hu… - Process Safety and …, 2024 - Elsevier
The low calorific value and poor atomization of biodiesel seriously hinder its application. The
development of nanotechnology has led people to focus on using nanoparticles to improve …
development of nanotechnology has led people to focus on using nanoparticles to improve …
[HTML][HTML] Improving the combustion and emission performance of a diesel engine powered with mahua biodiesel and TiO2 nanoparticles additive
CJ Sarma, P Sharma, BJ Bora, DK Bora… - Alexandria Engineering …, 2023 - Elsevier
The dwindling air quality and diminishing fossil fuel reserves have led to an increase in the
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …
An approach towards building robust neural networks models using multilayer perceptron through experimentation on different photovoltaic thermal systems
The study is aimed at training an artificial neural network to determine the specific Photo
voltaic thermal (PV/T) system that will function optimally in a specific environmental situation …
voltaic thermal (PV/T) system that will function optimally in a specific environmental situation …
Application of hybrid Taguchi L16 and desirability for model prediction and optimization in assessment of the performance of a novel Water Hyacinth biodiesel run …
The twin effect, fossil fuel crisis as well the rise of pollution, has activated continuous
research for alternative, renewable, clean, and affordable energy. In this regard, biodiesel …
research for alternative, renewable, clean, and affordable energy. In this regard, biodiesel …
[HTML][HTML] Prediction of transportation energy demand in Türkiye using stacking ensemble models: Methodology and comparative analysis
The transportation sector accounts for 61.5% of global oil consumption and is responsible
for 29% of the world's total energy demand. Passenger transportation utilizes around 50 …
for 29% of the world's total energy demand. Passenger transportation utilizes around 50 …
Efficacy of machine learning algorithms in estimating emissions in a dual fuel compression ignition engine operating on hydrogen and diesel
V Sugumaran, V Thangavel, M Vijayaragavan… - International Journal of …, 2023 - Elsevier
Emission created by combustion of fossil fuels are a major concern of the world for the past
few decades. The stringent emission norms have impacted the automobile manufacturers to …
few decades. The stringent emission norms have impacted the automobile manufacturers to …
Comparative analysis of energy, exergy, emission, and sustainability aspects of third generation microalgae biodiesels in a diesel engine
Third-generation biodiesel produced from various microalgae species is being researched
for its production, conversion, compatibility, sustainability, and environment-friendly …
for its production, conversion, compatibility, sustainability, and environment-friendly …
Investigations on biomass gasification derived producer gas and algal biodiesel to power a dual-fuel engines: Application of neural networks optimized with Bayesian …
M Alruqi, P Sharma, Ü Ağbulut - Energy, 2023 - Elsevier
The adoption of sustainable energy sources is a crucial step towards achieving a low-
carbon economy and mitigating the effects of climate change. One promising approach is …
carbon economy and mitigating the effects of climate change. One promising approach is …
Predicting the wettability rocks/minerals-brine-hydrogen system for hydrogen storage: Re-evaluation approach by multi-machine learning scheme
This study explores the use of machine learning algorithms to predict hydrogen wettability in
underground storage sites. The motivation for this research is the need to find a safe and …
underground storage sites. The motivation for this research is the need to find a safe and …