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SUMMARY:Designing PV-EV Integrated Residential Microgrids in the post-COVI
 D World - Anaïs Berkes - ETH Zürich
DTSTART:20230616T120000Z
DTEND:20230616T130000Z
UID:TALK202129@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:In recent years\, storage coupled photovoltaic (PV) systems ha
 ve gained popularity among homeowners. As a result of the covid-19 pandemi
 c\, there has been an increase in remote work and the adoption of electric
  vehicles (EVs) which spend more time plugged in at home. Thus\, they can 
 function as bidirectional energy storage units\, becoming integrated into 
 PV-powered microgrids. This provides an opportunity to reduce EV charging 
 demands\, charge EV batteries directly with solar energy\, and use them as
  a backup energy source throughout the day. Given this context\, it become
 s paramount to explore the optimal design of domestic microgrids that take
  into account different types of residents and user preferences. However\,
  creating systems that account for different user behaviours and allow for
  joint sizing and operation is a convoluted task. Notably\, the interdepen
 dencies between sizing and operation are multifaceted\, and solar generati
 on\, load and EV cycles are stochastic and nonstationary. Moreover\, such 
 microgrids require sophisticated home energy management systems (HEMS)\, c
 apable of considering different user goals and types. This study proposes 
 a framework for coupled sizing and operation of domestic microgrids which 
 considers different work-from-home patterns and user preferences for the H
 EMS\, to determine the optimal size of PV panels and stationary storage. B
 y using a tool to generate EV usage data\, we will investigate how differe
 nt commuting habits and HEMS configurations affect the design requirements
  of domestic energy systems. Ultimately\, this study aims to deepen our un
 derstanding of the design of residential PV-EV integrated microgrids withi
 n the post-pandemic world.
LOCATION:GN06\, William Gates Building. Zoom link: https://cl-cam-ac-uk.zo
 om.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;from=addon 
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