Bharat Govil ’22
Data Visualization for GenX Model
Certificate(s): Linguistics, Statistics and Machine Learning
I worked on creating data-analysis and visualization scripts for the GenX model system. GenX is essentially a linear optimization model that maximizes social welfare and minimizes costs relative to the capacity and generation of electricity power systems. My primary role was to write scripts that could format the data produced by GenX, along with scripts that could create plots from this formatted data. I also was involved in creating a few other scripts, such as analyzing candidate project sites for potential wind and solar farm locations. My work provided useful insights into introductory data analysis, statistics and optimization models related to environmental research and has encouraged me to further pursue these topics. My junior paper will involve data analysis concepts I learned over the course of this internship.
Innovation and a New Energy Future
ZERO Lab, Department of Mechanical and Aerospace Engineering, Princeton University
Jesse Jenkins, Assistant Professor of Mechanical and Aerospace Engineering and the Andlinger Center for Energy and the Environment; Neha Patankar, Postdoctoral Research Associate, Andlinger Center for Energy and the Environment