Behind-the-Meter Power for Hyperscale Campuses: Multi-Market Techno-Economic Framework (code and data)

Code and data accompanying the manuscript "Behind-the-Meter Power for Hyperscale Campuses: A Multi-Market Techno-Economic Framework for Grid-Constrained Energy Supply Under Carbon Pricing and Equipment Lead-Time Uncertainty", submitted to MDPI Energies.

The repository contains the Python model, the data inventory, and the figure scripts needed to reproduce Table 4 and Figures 1 through 5 of the manuscript. Solar profiles are drawn from NREL PVWatts V8 using typical-meteorological-year data for public representative metro coordinates that stand in for market archetypes; no specific facility location is identified.

Running the model requires a free NREL API key, supplied through the NREL_API_KEY environment variable. See README.md for setup and run instructions.

Licensing: code is released under the MIT License; data files and documentation are released under CC BY 4.0.