Alessandro Romagnoli

TL;DR: The Ultra Boost for Economy (UBE) collaborative project as discussed by the authors aimed to reduce engine capacity by 60% and still achieve the torque curve of a modern, large-capacity naturally-aspirated engine, while encompassing the attributes necessary to employ such a concept in premium vehicles.

TL;DR: In this article, the performance of a turbocharger under non-adiabatic conditions was evaluated to assess the impact of heat transfer on the degradation of the compressor performance, and a 1-D heat transfer model was developed and validated against the experimental measurements.

TL;DR: The outcome of this study favors the usage of effective yet computationally cheap feature engineering methods such as EDA; for other building energy data mining problems, the method proposed in this study still holds important implications since it provides a starting point where efficient feature engineering and machine learning models could be further developed.

TL;DR: In this paper, a comprehensive and systematic methodology of Phase Change Materials assessment for Latent Heat Thermal Energy Storage design, which comprises prescreening, ranking and performance objective examination based on Multi-Criteria Decision Making tools, is proposed.

TL;DR: In this article, a sensitivity analysis has been carried out for investigating the technoeconomic impact of different storage technologies (i.e., lithium-ion, Vanadium redox, ice and phase change material thermal storage) for optimally designing and operating a multi-energy system.