cs.CYSep 20, 2026

Beyond PUE: A Local Impact Audit Framework for Data Center Environmental Accountability

Authors: Sharifa Sultana, Syed Ishtiaque Ahmed

Organizations: University of Illinois Urbana-Champaign USA · University of Toronto Canada

Abstract

Standard data center sustainability metrics, including Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Carbon Usage Effectiveness (CUE), measure a facility's resource use and emissions intensity, normalized to IT energy use, without directly representing local resource scarcity, infrastructure capacity, or social footprint. This gap has become politically consequential. In the first quarter of 2026 alone, local opposition delayed or canceled roughly $130 billion in projects across the United States, driven overwhelmingly by recurring concerns over water use, power demand, infrastructure capacity, and transparency rather than internal efficiency, matching the total for all of 2025 [11]. We propose a five-category local impact audit framework covering efficiency, water stewardship, carbon and renewables, regulatory compliance, and local disclosure. The framework is designed for recurring quarterly assessment and independent verification against public records. We illustrate its application using publicly available data from three Illinois facilities that are currently at the center of local policy disputes, and we examine the data-access barriers that constrain independent verification. We position this framework as both a research contribution and a practical instrument for county-level policymakers evaluating data center permitting and moratorium decisions.

Figures & tables

Explore similar work

CardsList
  1. InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers

    Aug 13, 2026Nicoletta Tsiopani, Moysis Symeonides, George Pallis +1Energy-Efficient MLLLM Inference Serving

  2. Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand

    May 30, 2026Dana Golden, Aruna Balasubramanian, Niranjan BalasubramanianPower Systems

  3. The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era

    Jun 5, 2026Gianluca Guidi, Francesca Dominici