Prototyping Data Tools With AI, A Case Study: Solar + Battery Atlas

Ember, an independent energy think tank, has utilized artificial intelligence to develop the Solar + Battery Atlas, showcasing the cost-effectiveness of 24/7 solar power in many regions worldwide. The tool analyzes 5,000 locations and demonstrates that solar and batteries can reliably supply over 80% of annual electricity demand for the majority of people, with costs competitive at under $100/MWh for most. This opportunity is particularly significant in areas with weak power systems, where solar and battery systems can already outcompete planned fossil generation. By leveraging AI to accelerate the creation of data tools, Ember aims to provide policymakers and investors with the necessary insights to advance the clean energy transition and make informed decisions in the energy sector.

https://cleantechnica.com/2026/06/22/prototyping-data-tools-with-ai-a-case-study-solar-battery-atlas/