A5034159603- Water Systems and Optimization
- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Control Systems Optimization
- Hydraulic and Pneumatic Systems
- Fault Detection and Control Systems
- Water resources management and optimization
- Advanced NMR Techniques and Applications
- Smart Grid Energy Management
- Advanced Battery Materials and Technologies
- Membrane Separation Technologies
- Fuel Cells and Related Materials
- NMR spectroscopy and applications
- High voltage insulation and dielectric phenomena
- Advanced MRI Techniques and Applications
- Reliability and Maintenance Optimization
- Cavitation Phenomena in Pumps
- Wireless Power Transfer Systems
- Electrowetting and Microfluidic Technologies
- Electron Spin Resonance Studies
- Electrostatic Discharge in Electronics
- Advanced Memory and Neural Computing
- Hydraulic flow and structures
- Iterative Learning Control Systems
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
University of Pavia
2017-2025
Massachusetts Institute of Technology
2023-2024
University of Aberdeen
2019
This paper proposes a novel methodology for simultaneously addressing design of burst detection/localization machine learning algorithm and flow/pressure sensor placement in water distribution networks (WDNs). A preliminary spectral clustering is performed defining suitable WDN partitioning, order to carry out localization at cluster level reduce the computational burden. grouped regularization approach used define most flow pressure placement, inter intra clusters, respectively, train...
This paper deals with the fundamental requirement of stability real-time control algorithms for water distribution systems. Loss may in fact generate strong pressure waves that cause damages to structure and increase leakage maintenance costs. In addition, since system under is characterized by complex, nonlinear dynamic behavior, it very important guarantee preserved even when working far from its nominal point. The aim this work therefore apply tools methodologies theory analyze both...
This paper proposes the bi-objective optimization for installation of pumps operating as turbines (PATs) in systems transmission mains, which typically operate at steady flow conditions to cater tanks service water distribution networks. The methodology aims find optimal solutions trade-off between costs and generated hydropower, are be minimized maximized, respectively. While is carried out by means a genetic algorithm, an inner sub-algorithm provides regulation PAT settings. applications...
This paper presents an experimental dataset for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with nominal capacity 58 Ah. The campaign, conducted at the Energy Laboratory Interdisciplinary Storage Applications (ELISA) University Trieste, Italy, employs non-destructive tests to assess performance each cell within batch. cell-level testing procedures include fixed Constant Current Voltage (CCCV) charging and (CC) discharging low current rates, Hybrid Pulse Power...
This paper introduces a novel method for the topology optimization of multi-material structures. The core innovation lies in minimizing an appropriate norm transfer matrix that links external loads to system outputs. Several formulations structural compliance are considered within framework accommodates both single and multiple inputs multimaterial interpolation scheme follows approach proposed by Yi collaborators, which is adapted general Venini collaborators. While inherently capable...
This paper aims to analyze the flood hazard in city of Monza, which periodically suffers from overflows both river Lambro and urban drainage system during wet weather conditions. A unified Urban Flash Flood Model Monza is therefore developed capture sources hazard. The model first validated by comparing results simulations with historical data related area then exploited obtain maximum depth velocity maps for three different return periods. Overall, show nature flood-related sewer-related...
Model Predictive Control (MPC) is a successful control strategy, with solid theoretical and practical backgrounds. Currently, several stabilizing MPC formulations are available to deal tracking of piecewise constant references. In particular, it well understood that, in many cases, the use artificial reference variables optimisation problem allows sensibly extend region attraction controller. This work proposes modified for formulation which able guarantee nominal stability also presence...
This paper aims to show how the total demand signal (i.e., sum of all user demands) a district metered area (DMA) can be reconstructed using simple linear models starting from readings taken at influential locations with preassigned temporal resolution (e.g., 1 h). By comparing pattern inflow into DMA, which is usually monitored DMA boundaries flowmeters, water utilities have potential identify occurrences anomalous events, such as pipe bursts, unauthorized consumption, and leakage...
This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each which is based on single combination values at WDN nodes. The describes hourly both nodal and scales through beta probabilistic model, flexible enough to suit small large aggregations terms mean, standard deviation, skewness. first step enables generating separately samples Then, second step, are consistently reordered build WDN, while...
We present a physics-based model that accurately predicts the performance of Medtronic's implantable medical device battery lithium/carbon monofluoride (CF$_x$) - silver vanadium oxide (SVO) under both low-rate background monitoring and high-rate pulsing currents. The distinct properties multiple active materials are reflected by parameterizing their thermodynamics, kinetics, mass transport separately. Diffusion limitations Li$^+$ in SVO used to explain cell voltage transient behavior during...
The topic of this paper is the recovery energy from urban waters, which can be performed in water distribution networks (WDNs) through hydraulically and electrically regulated pumps operating as turbines (PATs). time-varying conditions make real time control (RTC) techniques necessary for adjusting both hydropower generation service pressure regulation. An unsteady flow model allows simulating skeletonized layout a WDN, assessing effectiveness RTC. Two schemes, at small large-time steps,...
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