LCOE Calculator — U.S. solar & wind
Jun 15, 2026
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1 min read
An interactive web application, built with Shiny for Python, that estimates the levelized cost of electricity (LCOE) for solar and wind across U.S. states. Costs can be compared across the utility, commercial, and residential segments, and wind capacity factors can be derived from alternative reanalysis datasets (HRRR, ERA5, MERRA2). The tool combines modelled hourly capacity factors with technology cost assumptions to show how generation costs vary by location and market segment.
A collaboration with Thimo Merke and Minghao Chen.
Authors
Doctoral Candidate
I am a doctoral candidate at the University of Mannheim and a researcher at
the Mannheim Institute for Sustainable Energy Studies (MISES). I combine
techno-economic analysis with carbon accounting to study the economics of
decarbonization technologies, emission allocation effects and the investment
incentives it shapes. I have held visiting positions at the Stanford
Graduate School of Business and the Toulouse School of Management. My
research has been published in Energy & Environmental Science and Nature
Communications.