• Advanced data analytics for ship performance monitoring under localized operational conditions 

      Bui, Khanh Quang; Perera, Lokukaluge Prasad (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-08)
      Improving the operational energy efficiency of existing ships is attracting considerable interests to reduce the environmental footprint due to air emissions. As the shipping industry is entering into Shipping 4.0 with digitalization as a disruptive force, an intriguing area in the field of ship’s operational energy efficiency is big data analytics. This paper proposes a big data analytics framework ...
    • The Compliance Challenges in Emissions Control Regulations to Reduce Air Pollution from Shipping 

      Bui, Khanh Quang; Perera, Lokukaluge Prasad (Peer reviewed; Chapter; Bokkapittel, 2019-10-14)
      One of the thorny problems perplexing the maritime industry is to comply with existing and soon-to-be-enacted regulations towards emissions reduction from shipping. This problem has been discussed in this study under three viewpoints: i) the marine engine efficiency, ii) the decision-making process for selecting the technologies for reducing air emissions from shipping and iii) the challenges in the ...
    • Development of a Life-cycle Cost Framework for Retrofitting Marine Engines towards Emission Reduction in Shipping 

      Bui, Khanh Quang; Perera, Lokukaluge Prasad; Emblemsvåg, Jan (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
      The shipping industry is striving to reduce its negative environmental footprint and become more energy-efficient. In order to achieve this, undergoing the transition towards innovative engine and propulsion systems is attracting considerable attention. However, the economic aspect is of paramount importance for decision-makers (e.g. ship owners) when it comes to investing in innovative technologies. ...
    • An Integrated Data Analytics Framework for Enhancing the Environmental and Life-cycle Economic Performance in Shipping 

      Bui, Khanh Quang (Doctoral thesis; Doktorgradsavhandling, 2023-03-03)
      <p>Shipping has been recognized as the most efficient mode of transport, carrying over 80% of international trade volume. The shipping industry is at the beginning of one of its greatest energy and technology transition driven by decarbonization drivers in terms of stringent emission regulations and commercial pressure. Digitalization can enable the transition by leveraging Machine Learning (ML) and ...
    • Life-cycle cost analysis of an innovative marine dual-fuel engine under uncertainties 

      Bui, Khanh Quang; Perera, Lokukaluge Prasad Channa; Emblemsvåg, Jan (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-27)
      As innovative technologies are being deployed to accelerate shipping decarbonization in response to air emission regulations, there is considerable concern about the cost effectiveness of such technologies from a life-cycle perspective. This study conducts a life-cycle cost analysis (LCCA) on an innovative marine dual-fuel engine under uncertainties, comparing the total life-cycle cost performance ...