This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation of nanotechnology, through the addition of nanoparticles to conventional fuels, improves fuel atomization, combustion efficiency, and emission control. Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions.
View Article and Find Full Text PDFPerovskite solar cells (PSCs) hold potential for low-cost, high-efficiency solar energy, but their sensitivity to moisture limits practical application. Current fabrication requires controlled environments, limiting mass production. Researchers aim to develop stable PSCs with longer lifetimes under ambient conditions.
View Article and Find Full Text PDFThe present work focuses on a detailed inter-comparative assessment of household energy consumption (HEC) patterns for different Indian households including their living style and pattern of using clean energy fuels. This assessment has been done for cooking, heating, cooling, and transportation patterns in different households. It has been observed that the monthly income, family size, and house location have a significant effect on the monthly HEC of a specific household.
View Article and Find Full Text PDFThis article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such as production capacity, economics and assumed engine characteristics. For the purpose of predicting performance, combustion and emission characteristics, an artificial intelligence approach that has been trained using experimental data is used.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
April 2024
The critical impact of sodium-doped molybdenum (MoNa) in shaping the MoSe interfacial layer, influencing the electrical properties of CIGSe/Mo heterostructures, and achieving optimal MoSe formation conditions, leading to improved hetero-contact quality. Notably, samples with a 600-nm-thick MoNa layer demonstrate the highest resistivity (73 μΩcm) and sheet resistance (0.45 Ω/square), highlighting the substantial impact of MoNa layer thickness on electrical conductivity.
View Article and Find Full Text PDFNano-enhanced phase change materials are highly employed for an enhanced heat-transfer process. The current work reports that the thermal properties of solar salt-based phase change materials were enhanced with carbon nanotubes (CNTs). Solar salt (60:40 of NaNO/KNO) with a phase change temperature and enthalpy of 225.
View Article and Find Full Text PDFThe combination of various methods of increasing evaporation rate can highly impact the performance of solar desalination. This investigation aims to find the impact of using evacuated tubes solar collector, perforated fins, and pebbles on the performance enhancement of a solar still. Simultaneously six-evacuated-tube solar collector to raise the evaporation rate of the system, the perforated fins to increase the heat transfer surface between water and absorber, and the immersed pebbles stone in the water to keep the high water temperature at low solar radiation were considered.
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