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Wyszukujesz frazę "Xuân Phuong." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Understanding fuel saving and clean fuel strategies towards green maritime
Autorzy:
Van Nhanh, Nguyen
Rudzki, Krzysztof
Dzida, Marek
Pham, Nguyen Dang Khoa
Pham, Minh Tuan
Nguyen, Phuoc Quy Phong
Nguyen, Xuan Phuong
Powiązania:
https://bibliotekanauki.pl/articles/32919438.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
marine engine
alternative fuel
green maritime
fuel savings
low-carbon strategy
Opis:
Due to recent emission-associated regulations imposed on marine fuel, ship owners have been forced to seek alternate fuels, in order to meet the new limits. The aim of achieving low-carbon shipping by the year 2050, has meant that alternative marine fuels, as well as various technological and operational initiatives, need to be taken into account. This article evaluates and examines recent clean fuels and novel clean technologies for vessels. The alternative fuels are classified as low-carbon fuels, carbon-free fuels, and carbon neutral fuels, based on their properties. Fuel properties, the status of technological development, and existing challenges are also summarised in this paper. Furthermore, researchers have also investigated energy-saving devices and discovered that zero-carbon and virtually zero-carbon clean fuels, together with clean production, might play an important part in shipping, despite the commercial impracticability of existing costs and infrastructure. More interestingly, the transition to marine fuel is known to be a lengthy process; thus, early consensus-building, as well as action-adoption, in the maritime community is critical for meeting the expectations and aims of sustainable marine transportation.
Źródło:
Polish Maritime Research; 2023, 2; 146-164
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Artificial Neural Networks for predicting ship fuel consumption
Autorzy:
Nguyen, Van Giao
Sakthivel, Rajamohan
Rudzik, Krzysztof
Kozak, Janusz
Sharma, Prabhakar
Pham, Nguyen Dang Khoa
Nguyen, Phuoc Quy Phong
Nguyen, Xuan Phuong
Powiązania:
https://bibliotekanauki.pl/articles/32918813.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
artificial neural network
fuel management
marine engine
ship fuel consumption
energy efficiencys
Opis:
In marine vessel operations, fuel costs are major operating costs which affect the overall profitability of the maritime transport industry. The effective enhancement of using ship fuel will increase ship operation efficiency. Since ship fuel consumption depends on different factors, such as weather, cruising condition, cargo load, and engine condition, it is difficult to assess the fuel consumption pattern for various types of ships. Most traditional statistical methods do not consider these factors when predicting marine vessel fuel consumption. With technological development, different statistical models have been developed for estimating fuel consumption patterns based on ship data. Artificial Neural Networks (ANN) are some of the most effective artificial methods for modelling and validating marine vessel fuel consumption. The application of ANN in maritime transport improves the accuracy of the regression models developed for analysing interactive relationships between various factors. The present review sheds light on consolidating the works carried out in predicting ship fuel consumption using ANN, with an emphasis on topics such as ANN structure, application and prediction algorithms. Future research directions are also proposed and the present review can be a benchmark for mathematical modelling of ship fuel consumption using ANN.
Źródło:
Polish Maritime Research; 2023, 2; 39-60
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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