BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//TU/e ME//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:STANDARD
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:event-75@tuemeche.nl
DTSTAMP:20261007T234658Z
DTSTART;TZID=Europe/Amsterdam:20270127T160000
DTEND;TZID=Europe/Amsterdam:20270127T173000
SUMMARY:Simulation-Optimization Approaches for the Co-Design of Electric 
 Transportation Systems
DESCRIPTION:Speaker: Juan Pablo Bertucci\nHost: Theo Hofman\n\nElectric t
 ransportation systems are central to reducing emissions from passenger tr
 ansport and logistics\, but their wider deployment is constrained by high
  upfront costs and the difficulty of maintaining reliable operations in r
 eal-world conditions. A fundamental tension underlies these challenges: i
 nfrastructure and vehicles must be designed for the operations they will 
 face\, yet operational strategies can only be defined once a system is de
 signed. Because these decisions are highly interdependent\, treating stra
 tegic\, tactical\, and operational choices sequentially leads to suboptim
 al outcomes. The natural resolution is co-design: jointly optimizing the 
 system design and operation. This thesis investigates\, develops\, and va
 lidates co-design as a unifying framework for electric transportation sys
 tems\, combining optimization and simulation to couple infrastructure siz
 ing\, vehicle design\, and operational control across maritime\, road fre
 ight\, airport ground operations\, and passenger-vehicle domains. \nAcros
 s these domains\, co-design consistently outperforms separate design-then
 -operate approaches. Jointly optimizing ferry schedules\, charging infras
 tructure\, and battery sizing reduces total system cost relative to curre
 nt practice. In road freight\, centralized co-design of charging station 
 locations and operational policies lowers average cost\, reduces total in
 stalled charging power\, and eliminates queuing. For airport ground suppo
 rt\, smarter charging control simultaneously improves service levels and 
 reduces both charger and fleet requirements. In energy support systems\, 
 simulation-based co-design of energy management and hybrid storage for ch
 arging stations yields more robust long-term designs. At the vehicle leve
 l\, concurrent family design produces more competitive portfolios\, thoug
 h gains depend strongly on the market segments targeted. In all cases\, s
 imulation is key to reveal how operational realism shapes which designs p
 erform well in practice and whether gains in reliability and cost are act
 ually realized\, albeit at the cost of higher modeling complexity.\nThe o
 verarching finding is that electric transportation systems become more im
 plementable\, cost-effective\, and reliable when design\, operations\, an
 d uncertainty-aware evaluation are treated as a unified problem. Achievin
 g this requires optimization and simulation to be used together under a c
 o-design paradigm to support realistic decision-making and accelerate the
  deployment of electric transportation systems.\n\nMore info: https://www
 .tue.nl/en/research/researchers/juan-pablo-bertucci
LOCATION:Atlas 0.710
URL:https://tuemeche.nl/peoplepages/event.php?id=75
CATEGORIES:PhD Defense
END:VEVENT
END:VCALENDAR