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Martynas Drazdauskas and Sergejus Lebedevas
The capability of operational marine diesel engines to adapt to renewable and low-carbon fuels is considered one of the most influential methods for decarbonizing maritime transport. In the medium and long term, ammonia is positively valued among renewab...
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Shih-Hsien Hsu, Fu-Ming Tzu, Yi-Dong Chen and Chun-Wei Huang
This paper addresses the growing concern over air pollutant emissions (NOx, SOx, PM, CO2) from ocean-going vessels in harbor areas and the role of Onshore Power Supply (OPS) systems in mitigating these emissions during vessel berthing. However, the slow ...
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Rafal Krakowski and Kazimierz Witkowski
This article shows the effect of the addition of effective microorganisms and silver on the exhaust gas composition and fuel consumption. Exhaust emission standards are becoming increasingly stringent, which makes it difficult for engine manufacturers to...
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Zhongmin Ma, Taili Du, Shulin Duan, Hongfei Qu, Kai Wang, Hui Xing, Yongjiu Zou and Peiting Sun
Implementation of new emissions regulations calls for a reassessment of the emissions levels of newly built ships sailing in Chinese regions. In this paper, marine diesel engines are subjected to emissions bench tests using high-precision testing equipme...
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Aniket R. Khade, Vijaya D. Damodara and Daniel H. Chen
A fuel mixture of ammonia and natural gas as a low-carbon alternative for future power generation and transportation is an attractive option. In this work, a 50-species reduced mechanism, NH3NG, suitable for computational fluid dynamics simulations (CFD)...
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Hector Garcia-Gonzalez, Rafael Rodriguez and Marc Bascompta
Directive 2017/164/EU proposed a drastic reduction of nitrogen monoxide (NO) and nitrogen dioxide (NO2) levels, thereby fortifying the health protection framework within the mining industry. Despite the commendable record of non-road emissions standards ...
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Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ...
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Federico Ricci, Luca Petrucci and Francesco Mariani
Currently, machine learning (ML) technologies are widely employed in the automotive field for determining physical quantities thanks to their ability to ensure lower computational costs and faster operations than traditional methods. Within this context,...
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Jona Eissele, Stefan Lafer, Cristian Mejía Burbano, Julian Schließus, Tristan Wiedmann, Jonas Mangold and Andreas Strohmayer
Over the past few years, the rapid growth of air traffic and the associated increase in emissions have created a need for sustainable aviation. Motivated by these challenges, this paper explores how a 50-passenger regional aircraft can be hybridized to f...
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Harjot Singh Saluja, Feijia Yin, Arvind Gangoli Rao and Volker Grewe
The climate impact of aviation is considerably different from that of other transport modes. The turbofan engine?s efficiency can be increased by increasing the Operating Pressure Ratio (OPR), bypass ratio (BPR) and Turbine Inlet Temperature (TIT), there...
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