Daniel Vergara
New researcher in the area of applied Machine Learning for improving Energy Efficiency in ships. My research aims to improve the operation and control of internal combustion engines using data-driven models and first principles modelling and to analyse their performance under new modes of operation.
His research would reduce the use of fuel in said ships and hence to increase operations revenue whilst reducing emissions.
Daniel's work also involves applied statistics, modelling, simulation, and control.
Showing 2 publications
Power allocation influence on energy consumption of a double-ended ferry
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Showing 1 research projects
AI-enhanced energy efficiency measures for optimal ship operations to reduce GHG emissions