A digital twin is a representation of a physical entity in a digital format. A digital twin is used in place of its physical counterpart to carry out simulations, analyze data and make predictions in order to prevent unnecessary outcomes, reduce downtime, redesign and improve products or processes. Digital twins are receiving attention in shipping and maritime in order to make shipping greener. This is related to the concept of Smart Ship, i.e. ships where a large number of sensors are installed to collect all possible information about the state of the vessel, various indicators, etc. The maturity of digital twin technologies is evolving rapidly, with the growth of digital twin underpinning technologies such as Internet of Things (IoT), Big Data and Machine Learning. This makes possible the use of digital twins in areas such as new ship design. A promising application of digital twinning in shipping and maritime is decarbonization, i.e., reducing the ship’s emissions throughout its lifecycle. This can be achieved through the design of more energy efficient ships, installation and retrofitting of energy efficiency subsystems, greener fuels, and optimization of the ship’s voyage.
This book informs researchers and practitioners alike about the State of the Art in digital twin applications for shipping sector decarbonization. It contains experts views from a broad array of disciplines such as naval architecture, naval engineering, shipping operations management, ship modelling and simulation, and Computer Science, on how to apply digital twinning for maximum ship industry decarbonization. The Book Chapters are informed by the latest research and development national and EU initiatives for digital twin research, to become a valuable aid to business and R&D decision makers as well as researchers in ship design and technology and maritime transport.