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Nowadays, reducing pollutant emissions is of fundamental importance. In particular, in areas where urban public transport is carried out almost exclusively by boats, these represent the primary factors on which it is necessary to intervene. The conversion of current diesel units into hybridpropelled ones is essential to preserve the marina and the environment in areas considered UNESCO heritage sites such as Venice. This document concerns the study of the first hybrid vessel built for garbage collection in the old town of Venice. Paying attention to the system engineering innovations and the results of the tests carried out on board, the authors present some considerations regarding the changes necessary to convert the current diesel propulsion into a hybrid one, with the aim to enable navigation in Zero Emission Mode.

Currently, most ships use internal combustion engines (ICEs) either as propulsion engines or generator sets. The growing concern in environmental protection along with the consequent international rule framework motivated shipowners and designers to replace conventional power systems in order to mitigate pollutant emissions. Therefore, manufacturers have made available on the market many technological solutions to use alternative fuels (Liquefied Natural Gas or LNG, methanol, etc.). However, the main energy source is still fossil fuel, so almost all the ICEs are made up of turbocharged diesel engines (TDEs). TDEs have still the potential to improve their efficiency and reduce fuel consumption and pollutant emissions. In particular, the interpretation of Industry 4.0 given by manufacturers enabled the installation of a robust network of sensors on TDEs, which is able to allow reliable power management systems and make ships much more efficient regarding operating costs (fuel consumption and maintenance) and environmental footprint. In this paper, a software tool that is capable of processing the in-live performance of TDEs is described. The great novelty consists in the ability to process all the information detected by the sensor network in-live and dynamically optimize TDEs’ operation, whereas the common practice involves the collection of performance data and their off-line processing.

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