INFRA-COMPASS

作者：Pavlo Pinchuk, Guilherme Castelão, Anthony Lopez, Grant Buster · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2026 · DOI：10.5281/zenodo.21815199 · 研究领域：Computer science、Risk analysis (engineering)、Process management、Systems engineering、Engineering、Operations research、Software engineering

INFRA-COMPASS is an innovative software tool utilizing Large Language Models (LLMs) to systematically compile and update an inventory of state and local codes and ordinances related to energy infrastructure. Given the multitude of jurisdictions involved, automating the inventory process through AI is crucial for monitoring and understanding the implementation of these ordinances. The inventory aids in improving and expediting the permitting process in several ways. It enhances transparency for stakeholders, including energy developers, government officials, and communities, by detailing existing siting and permitting requirements. It also facilitates comparisons of regulatory variations across jurisdictions and over time, linking these to permit timelines, technical assistance efforts, and deployment rates to identify best practices. INFRA-COMPASS also provides insights for jurisdictions revising their rules and helps developers conduct comparative analyses to better assess energy development opportunities. Furthermore, INFRA-COMPASS improves the accuracy of energy modeling tools by ensuring they accurately reflect current policies.