Presentation Details
| Overcoming Photovoltaic Systems Performance Through Non-Concentrating Two-Axis Tracking Sneha Shanmuganathan1, Bhavya Sree Boya Nayakula1, Justin 1, Stuart Bowden 1, Christiana Honsberg 1. 1Arizona State University, Tempe, AZ, USA.2Arizona State University, Tempe, AZ, USA.3Arizona State University, Tempe, AZ, USA.4Arizona State University, Tempe, AZ, USA.5Arizona State University, Tempe, AZ, USA |
Abstract
This work studies how electric vehicle (EV) charging demand interacts with utility-scale solar generation using an infrastructure-based charging model and hourly utility data. Demand and solar generation profiles are obtained from the U.S. Energy Information Administration, with Salt River Project (SRP) used as a representative Arizona utility. EV adoption is projected using a compound annual growth rate and combined with average daily driving energy requirements to estimate total daily charging energy, which is converted into hourly EV load profiles. Charging behavior is represented by distributing daily EV energy across three charger classes: Level 1, Level 2, and DC fast charging (DCFC). Each class is assigned representative charging windows that reflect common residential, workplace, and public charging patterns. A baseline case with charging uniformly distributed across 24 hours is used for comparison. Additional timed charging scenarios are evaluated for morning, midday, evening, and overnight periods to examine their effects on peak demand, load variability, and net load, defined as utility demand plus EV load minus solar generation. Seasonal analysis across representative winter, shoulder, and summer months shows that conventional nighttime and evening charging increases peak demand during high-load summer periods. In contrast, shifting a portion of EV charging to morning and midday hours better aligns charging demand with periods of high photovoltaic generation, reducing peak loads and mitigating midday net-load dips caused by excess solar output. The resulting demand-plus-EV and net-load profiles indicate that daytime charging strategies reduce the spread between daily minimum and maximum demand and create a smoother ramp toward evening peaks. These results highlight the potential for workplace and daytime charging infrastructure to improve grid stability, enhance solar utilization, and support utility planning under growing EV adoption.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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