<b>Code for Mapping potential conflicts between renewable energy development and urban expansion in China</b>

The workflow identifies potential spatial overlaps under the STEPS, APS and NZE pathways, estimates rooftop and facade PV potential, and evaluates land-use trade-offs using a Sustainable Development Goals (SDGs)-informed framework.

A sequential redeployment model compares national and local-first strategies, with and without distributed PV, to compensate for affected renewable-electricity generation and quantify associated costs. Joint uncertainty analysis evaluates the effects of urban-expansion assumptions, SDG scoring and weighting schemes, and techno-economic parameters. The code, input datasets and documentation support reproducible assessment of renewable-energy deployment, land-use priorities and coordination costs.</p>