Battery lifetime valuation framework design

Location of Research: Remote

The student will combine pieces of published models and algorithms and combine them into a unified software to estimate the value of battery lifetime (degradation) based on input electricity price data.

Lab: Bolun Xu

Direct Supervisor: Bolun Xu

Position Dates: 1/1/2021 - 6/1/2021

Hours per Week: 10

Qualifications: Experiences with a scientific programming language: Python, Matlab, or Julia. Knowledge on electricity markets or batteries is a plus.

Eligibility: Junior, Senior, Master's