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Project Title: Shining a light on community-scale solar: analyzing the potential energy generation of a small city
Project Title: Shining a light on community-scale solar: analyzing the potential energy generation of a small city
The Laboratory for Advanced System Software (LASS) investigates systems issues for distributed systems ranging from large server clusters to networks of small sensors. Our lab comprises two research groups: the Distributed Systems Group and the Sustainable Computing Group.
The Distributed Systems Research Group focuses on topics in cloud computing, edge computing, data centers, virtualization, and data management.
The Sustainable Computing research group focuses on computational methods for sustainability and decarbonization of engineered systems and infrastructure. We apply our research to energy grids, built environment, renewables, energy storage, and transportation. We take a systems and data analytics approach to addressing problems in this area.
Project Description
Students will work with fine-grained data about rooftop solar generation in a small city to ask research questions. For example, given a certain number of installations, what are the best neighborhoods to deploy solar in to get the most energy generation over the course of a year? How much of the city's electricity usage can be offset by these installations? To answer these and other questions, students will develop skills in big data analysis/visualization and gain background on technical topics such as grid systems.
Learning Objectives:
Designing data-driven research experiments
Data analysis, interpretation, and visualization
Background on grid systems and sustainability
Skills to learn:
Experience with Python and related frameworks (Pandas, SciPy, NumPy).
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