Page 143 - ΝΑΥΤΙΚΑ ΧΡΟΝΙΚΑ - ΟΚΤΩΒΡΙΟΣ 2024
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However, it is inevitable that, in the long   try nearing a tipping point where we will witness
                                    run, the industry will have to shift from   substantial benefits from the implementation of
                                    conventional fuels to zero-carbon solu-  technological solutions?
                                    tions. The real challenge then becomes:    Improving energy efficiency is absolutely
                                        •   How far in time will the point of   the right first step. Our primary mandate,
                                            this transition be? (The longer    as people working  toward a net-zero
                                            the timeline, the easier it will be   carbon future, is to reduce energy con-
                                            to make a final decision)          sumption. The shipping industry’s energy
                                        •   How difficult will it be to retrofit   efficiency has been steadily improving
                                            zero-carbon solutions onto stan-   over the years. Notable examples include
                                            dard ships?                        significant reductions in the specific fuel
                                    At present, committing to any specific     consumption of engines, advances in
                                    solution is both risky and premature. No   hydrodynamic design, and improvements
                                    one has a crystal ball to predict the future   in hull coatings that reduce friction.
                                    with certainty. History shows that what    Decarbonisation will come at an extra
                                    seems like the dominant solution today     cost, but the less fuel a ship consumes -
                                    may be irrelevant in 10 or 15 years.       meaning, the more energy efficient it is -
                                    As a result, the best course of action is to   the lower this additional cost will be. This
                                    prioritise flexibility, ensuring that vessels   is precisely what is needed for the global
                                    can adapt to a rapidly changing environ-   supply chain that shipping supports. At
                                    ment and remain competitive rather than    the same time, higher energy efficiency
                                    becoming stranded assets.                  means reduced demand for alternative
                                                                               fuels or CO2 disposal, making the overall
                             According to the participants’ responses, the     energy transition smoother.
                             implementation of multiple technological solutions   However, simply reducing fuel consump-
                             is considered the most effective way to reduce    tion won’t be enough to achieve net zero.
                             a ship’s carbon footprint. Is the shipping indus-  Ultimately, zero-carbon solutions will be
                                                                               necessary.

                                                                        In light of the upcoming environmental regula-
                                                                        tions, half of the participants believe that investing
                                                                        in machine learning and AI alongside green tech-
                                                                        nologies and alternative fuels is critical. What are
                                                                        some ways in which machine learning and AI could
                                                                        fundamentally transform the way we perceive the
                                                                        energy efficiency of vessels?
                                                                               Shipping relies on a large number of cer-
                                                                               tified, though not always fully qualified,
                                                                               seafarers. I believe that AI and machine
                                                                               learning can significantly support the
                                                                               human element in adopting new technol-
                                                                               ogies, which are essential for the energy
                                                                               transition. In addition, AI can contribute to
                                                                               improvements in several areas, including:
                                                                                  •   Cargo management, port opera-
                                                                                      tions, and supply chain/logistics
                                                                                      optimisation
                                                                                  •   Route optimisation
                                                                                  •   Environmental monitoring
                                                                                  •   Market analysis
                                                                               However, we must also consider the fact
                                                                               that AI generally increases energy con-
                                                                               sumption on land. For example, AI already
                                                                               accounts for 3.5% of the U.S.’s electricity
                                                                               usage today, a figure projected to rise to
                                                                               over 5.5% by 2027 and potentially exceed
                                                                               9% by 2030.


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