Andrew Schallwig
Pronouns: He/Him
Research Mentor(s): An Pham
Co-Presenter:
Research Mentor School/College/Department: / SNRE
Presentation Date: April 20
Presentation Type: Poster
Session: Session 5 – 3:40pm – 4:30 pm
Room: League Ballroom
Authors:
Presenter: 6
Abstract
Due to a policy-driven boom in photovoltaic (PV) power systems in California, the state now holds more than 40% of all distributed PV energy capacity in the U.S (California ISO Department of Market Monitoring, 2016). However, this increase in rooftop PV capacity has altered net electricity demand in California temporally and spatially, which has in turn impacted generation dispatch and consequently, the distribution of locational marginal prices of electricity in California. Because of this, detailed research on the impacts of rooftop solar on the power system is needed. This study intends to use solar generation, weather and market data to develop a more advanced model of expected greenhouse gas emissions and market congestion resulting from increased PV capacity. This study uses rooftop solar electricity generation data from more than 400 systems in California (CSI) (California Distributed Generation Statistics, 2019), California weather data from the National Oceanic and Atmospheric Administration (NOAA) (National Renewable Energy Laboratory, 2017), and energy market data from CAISO (California ISO, 2019). These datasets will be linked and analyzed using statistical and machine learning analysis methods to develop a final model. Thus far these datasets have been ascertained, cleaned, linked and uniformly structured to prepare for use in statistical and machine learning analysis methods. By developing a robust model, this study intends to support future research groups and policy makers in making smart choices when adopting green energy policies. By offering this key tool to help decision makers understand the full implications of adopting these sustainable energy sources, this research hopes to make the very necessary transition towards green energy more efficient, sustainable and equitable.
Environmental Studies, Interdisciplinary
