Design of CNFs-supported self-standing cathodes for Sodium-ion batteries with enhanced performance at high C-rate

In questa tesi di dottorato si sono studiati diversi approcci per produrre elettrodi self-standing caratterizzati da alta densità di energia e di potenza, ottenuti con materiali ad alto voltaggio e/o alta capacità e una matrice di nanofibre di carbonio (CNF). Sono stati effettuati dei test preliminari sui composti Na3MnZr(PO4)3, Na3MnTi(PO4)3 e ZnS-GO per batterie a ioni sodio (SIBs), preparati con metodo tradizionale (tape-casted), e sulla singola matrice di CNFs elettrodepositata. Dopo aver...

Frequency Doublers and Phase Shifters for D-band Phased Arrays in SiGe BiCMOS Technology

L'immagine delle serre nel teatro del Golfo di Sanremo. La forma della terra e il sopraggiungere della città

L'abstract è presente nell'allegato / The abstract is in the attachment

Resilience building mechanisms within Global Value Chains: coping with uncertainty and addressing sustainability opportunities

Although MNEs undoubtedly operate in an uncertain environment the last few years have proven especially challenging. The global financial crisis of 2008, the increase of nationalistic tendencies,warfare, environmental disasters and a pandemic are just a few events on the extremely long list of disruptions that MNEs have had to face in the last 15 years Consequently, in the last few years IB researchers have to address the topic of resilience. It is in fact widely believed that resilience is ...

The effects of institutional investors on corporate strategic decisions and risks: Evidence from international markets

Optimization Under Uncertainty: Applications to Machine Learning and Waste Management

In this thesis, we deal with optimization problems affected by uncertainty. The first class of problems we analyze aims at separating sets of data points by means of linear and nonlinear classifiers. The classification task is performed according to variants of the Support Vector Machine (SVM) and the uncertainty in real-world data is handled by means of Robust Optimization (RO) techniques. In the case of binary classification, we start by formulating a novel SVM-type model with nonlinear cla...

Design, Modeling and Diagnostics of Closed-Loop Inverter-Fed Electrical Machines

This thesis aims to present the main research activities carried on by the author during his doctoral studies. Two main topics have been studied during this period: the design and modeling of synchronous brushless machines and the diagnostics of closed-loop controlled induction motors. The design of Interior Permanent Magnet (IPM) machines, nowadays, has a crucial role in developing the whole drive. After reviewing the literature already published, two design procedures will be presented in t...

Design and Stability Analysis of a Three-Phase Triple-Stage Solid-State Transformer

The electrical distribution system is experiencing a profound evolution process triggered by the increasing integration of Renewable Energy Sources (RES) and Distributed Generation (DG), alongside the widespread use of Electric Vehicles (EVs), the related charging stations, and the growing adoption of Energy Storage Systems (ESSs). The behavior of such loads and sources, interfaced with the grid via an increasing number of power electronics converters and often intermittent in nature, togethe...

Study and design of a multiport converter Optimized for applications in renewable energy field using flow batteries

Achieving a sustainable future depends significantly on the transformative capability of the energy sector. The international energy agency presented a roadmap towards achieving net-zero emissions by 2050, in which a substantial upscaling of renewable energy resources is needed. Distributed Energy Resources (DERs), such as photovoltaic (PV) solar panels and energy storage systems (ESS), exhibits substantial potential to curtail carbon emissions. As the energy generation shares move toward cle...