Topic / Energy / Report
Understanding Stellar Energy
How SWB Superpower will create clean energy superabundance


We are in the midst of the fastest, deepest, most transformative disruption of the energy sector in over a century.
Stellar Energy systems will operate like stars, gathering a critical mass of resources and then igniting to produce energy indefinitely without further inputs.
About the Report
Understanding Stellar Energy: How SWB Superpower will create clean energy superabundance
This groundbreaking report from RethinkX explains how solar power, wind power, and battery energy storage can deliver a superabundance of clean energy at near-zero marginal cost to create Stellar Energy systems, that will fundamentally transform our world and help build a future where all people in all societies everywhere can flourish as never before.
Today’s energy disruption is a race to the stars, and this essential report provides a roadmap for navigating the transformation, using analytical tools like the Clean Energy U-Curve, SWB Superpower Curve, and SWB Coverage Curve to provide investors, policymakers, and other decision-makers with concrete frameworks to understand and unlock the potential of Stellar Energy.
Adam Dorr, James Arbib and Tony Seba (RethinkX), April 2025
https://doi.org/10.61322/USET4923Download the Report
Fill in your details below to download your copy.
In order to safeguard against catastrophe in
all its forms – social, economic, geopolitical,
environmental – societies should immediately
begin deploying SWB at scale to accelerate the
advent of Stellar Energy systems and thereby
achieve clean energy superabundance as
soon as possible.
-Understanding Stellar Energy (2025) Report
Data sources
Solar
Anderson, K., Hansen, C., Holmgren, W., Jensen, A., Mikofski, M., and Driesse, A. “pvlib
python: 2023 project update.” Journal of Open Source Software, 8(92), 5994, (2023).
DOI: 10.21105/joss.05994.
Jensen, A., Anderson, K., Holmgren, W., Mikofski, M., Hansen, C., Boeman, L., Loonen, R.
“pvlib iotools — Open-source Python functions for seamless access to solar irradiance
data.” Solar Energy, 266, 112092, (2023). DOI: 10.1016/j.solener.2023.112092.
PVlib Python: https://pvlib-python.readthedocs.io/en/stable/
Wind
windpowerlib: https://windpowerlib.readthedocs.io/en/stable/
Energy Demand
Staffell, I., Pfenninger, S. & Johnson, N. A global model of hourly space heating and
cooling demand at multiple spatial scales. Nat Energy 8, 1328–1344 (2023). https://doi.org/10.1038/s41560-023-01341-5
Demand Ninja github: https://github.com/renewables-ninja/demand-ninja
Population
United Nations, Department of Economic and Social Affairs, Population Division (2024).
World Population Prospects 2024. https://population.un.org/dataportal/