2 citations · 3 across the 15 of their papers we have counts for
15 papers
An Optimal Power Management Policy for Hydrogen-based Hybrid Aero Engines
Faezeh Pak, Uto Perra, Frank Willems +2
This paper presents a power management policy for a hydrogen-based hybrid aero engine combining a gas turbine and a solid oxide fuel cell (SOFC). Specifically, we first identify a…
Simultaneous Optimization of Electric Ferry Operations and Charging Infrastructure
Juan Pablo Bertucci, Theo Hofman, Mauro Salazar
Electrification of marine transport is a promising solution to reduce sector greenhouse gas emissions and operational costs. However, the large upfront cost of electric vessels and…
Optimal Sizing of Charging Energy Hubs for Heavy-Duty Electric Transport through Co-Optimization
M. Izadi, D. Fernandez Zapico, M. Salazar +1
Electrification of heavy-duty vehicles places substantial stress on distribution grids, and Charging Energy Hubs (CEHs) mitigate these impacts by integrating charging infrastructur…
Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
Maurizio Clemente, Prapti Maharjan, Mauro Salazar +1
This paper investigates the environmental impact of Li-Ion batteries by quantifying manufacturing-related emissions and analyzing how electricity mix and production scale affect em…
Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
Juan Pablo Bertucci, Sudarshan Raghuraman, Mauro Salazar +1
The major challenges to battery electric truck adoption are their high cost and grid congestion.In this context, stationary energy storage systems can help mitigate both issues. Si…
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction
Diego Fernández-Zapico, Theo Hofman, Mauro Salazar
This paper presents an online energy management system for an energy hub where electric vehicles are charged combining on-site photovoltaic generation and battery energy storage wi…
A Framework to Estimate Life Cycle Emissions for Vehicle-Integrated Photovoltaic Systems
Maurizio Clemente, Luuk van Sundert, Mauro Salazar +1
This paper presents a framework to estimate the environmental impact of solar electric vehicles, accounting for the emissions caused by photovoltaic system production as well as ve…
Geometric Scaling Laws for Axial Flux Permanent Magnet Motors in In-Wheel Powertrain Topologies
Olaf Borsboom, Arnab Bhadra, Mauro Salazar +1
In this paper, we present geometric scaling models for axial flux motors (AFMs) to be used for in-wheel powertrain design optimization purposes. We first present a vehicle and powe…
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems
Mauro Salazar, Sara Betancur Giraldo, Fabio Paparella +1
Research on the operation of mobility systems so far has mostly focused on minimizing cost-centered metrics such as average travel time, distance driven, and operational costs. Whi…
Multi-objective Optimal Trade-off Between V2G Activities and Battery Degradation in Electric Mobility-as-a-Service Systems
Fabio Paparella, Pim Labee, Steven Wilkins +3
This paper presents optimization models for electric Mobility-as-a-Service systems, whereby electric vehicles not only provide on-demand mobility, but also perform charging and Veh…
Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design
Fabio Paparella, Karni Chauhan, Luc Koenders +2
This paper presents a modeling and design optimization framework for an Electric Autonomous Mobility-on-Demand system that allows for ride-pooling, i.e., multiple users can be tran…
Fair Artificial Currency Incentives in Repeated Weighted Congestion Games: Equity vs. Equality
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
When users access shared resources in a selfish manner, the resulting societal cost and perceived users' cost is often higher than what would result from a centrally coordinated op…
A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a framework to incorporate ride-pooling from a mesoscopic point of view, within time-invariant network flow models of Mobility-on-Demand systems. The resulting…
Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a modeling and optimization framework to study congestion-aware ride-pooling Autonomous Mobility-on-Demand (AMoD) systems, whereby self-driving robotaxis are pr…
Concurrent Design Optimization of Powertrain Component Modules in a Family of Electric Vehicles
Maurizio Clemente, Mauro Salazar, Theo Hofman
We present a modeling and optimization framework to design powertrains for a family of electric vehicles, focusing on the concurrent sizing of their motors and batteries. Whilst ta…