Reducing pollution levels generated by short sea shipping : use of Bayesian networks to analyse the utilization of liquefied natural gas as an alternative fuel

• Autorzy: Molina Serrano Beatriz , González Cancelas Nicoleta , Soler Flores Francisco

Identyfikatory

DOI

10.2478/kones-2019-0018

• Języki publikacji: EN

Abstrakty

EN

Pollution adjacent to the continent's shores has increased in the last decades, so it has been necessary to establish an energy policy to improve environmental conditions. One of the proposed solution was the search of alternative fuels to the commonly used in Short Sea Shipping to reduce pollution levels in Europe. Studies and researches show that liquefied natural gas could meet the European Union environmental requirements. Even environmental benefits are important; currently there is not significant number of vessels using it as fuel. Moreover, main target of this article is exposing result of a research in which a methodology to establish the most relevant variables in the decision to implement liquefied natural gas in Short Sea Shipping has been development using data mining. A Bayesian network was constructed because this kind of network allows to get graphically the relationships between variables and to determine posteriori values that quantify their contributions to decision-making. Bayesian model has been done using data from some European countries (European Union, Norway and Iceland) and database was generated by 35 variables classified in 5 categories. Main obtained conclusion in this analysis is that variables of transport and international trade and economy and finance are the most relevant in the decision-making process when implementing liquefied natural gas. Even more, it can be stablish that capacity of liquefied natural gas regasification terminals under construction and modal distribution of water cargo transportation continental as the most decisive variables because they are the root nodes in the obtained network.

Słowa kluczowe

EN

Bayesian networks; graph theory; artificial network; European Union; Short Sea Shipping; liquefied natural gas

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2019
• Tom: Vol. 26, No. 1
• Strony: 147--158
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Molina Serrano Beatriz

• Polythecnic University of Madrid, Civil Engineering Department Transports Avd. Profesor Aranguren s/n, Madrid 28040, Spain tel.: [phone], fax: [phone]

autor

González Cancelas Nicoleta

• Polythecnic University of Madrid, Civil Engineering Department Transports Avd. Profesor Aranguren s/n, Madrid 28040, Spain tel.: [phone], fax: [phone]

autor

Soler Flores Francisco

• UNIR. Education Faculty c/Almirante Francisco Moreno 3, 3E 28040 Madrid tel.: [phone], fax: [phone]

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).