EEG seminar series – May 24, 2024

This Friday’s EEG group meeting and seminar will be held in hybrid mode in Room FW11, William Gates Building, and on Zoom.

When: 

Friday 24 May. Lunch is from 12:00 to 1:00 pm and the seminar is from 1:00 to 2:00 pm. Room FW11 is booked until 3:00 pm for additional discussions.

Registration:

You can register your in-person participation here, access the past recordings, or check out the future seminar details. 

Abstract:

We address a problem that arises at the confluence of three recent trends: the popularity of storage-coupled photovoltaic (PV) systems amongst homeowners, the rapid proliferation of electric vehicles (EVs) with potential for bidirectional energy storage within PV-enabled single-family homes, and third, the surge in remote working accelerated by the Covid-19 pandemic. In this context, we explore the joint optimal sizing and operation of domestic homes while accounting for different degrees of remote working and the impact of home energy management system (HEMS) operation preferences. This task is complex due to the coupling between sizing and operation and the stochastic and non-stationary nature of solar generation, load, and EV drive cycles. We introduce SOPEVS (Sizing & Operation of PV and EV integrated Single-family homes), a novel framework formulated to tackle this multifaceted challenge. We use SOPEVS to investigate how commuting habits and choices in HEMS operation affect the sizing of domestic PV energy systems. Our findings reveal that homeowners who predominantly work from home and possess bidirectional EVs can potentially eliminate the need for separate home storage systems, thereby substantially reducing overall system costs. We also find that configuring a HEMS to maximise charging through solar energy can achieve savings of up to 80% on total system expenditure (excluding the cost of EV), depending on the desired level of grid independence and the preferred State of Charge (SOC) of EV at the time of departure.

Bio:

Anaïs Berkes is a first-year PhD Student and Gates Scholar in the Department of Computer Science and Technology at the University of Cambridge.  

For more details, please visit the Talks page.