Data Center Resource Library

Data Centers in Chesterfield, VA

General Data Center Resources

Data Center Energy Needs & Grid Impacts

Data Center Water Usage

Data Center Pollution & Health Impacts

Peer-Reviewed Research on Data Centers

Al Kez, D., Foley, A. M., Laverty, D., Del Rio, D. F., & Sovacool, B. (2022). Exploring the sustainability challenges facing digitalization and internet data centers. Journal of Cleaner Production, 371, 133633. 

Azarifar, M., Arik, M., & Chang, J. Y. (2024). Liquid cooling of data centers: A necessity facing challenges. Applied Thermal Engineering, 247, 123112. 

Bergmann, R., & Solomun, S. (2021). Diesel death zones in the amazon empire: environmental justice in algorithmically mediated work. AoIR Selected Papers of Internet Research.

Boatwright Library. (2026, June 22). Virginia Data Centers Resources. University of Richmond

Columbia University. (2024). Landscape Assessment of AI for Climate and Nature.

Diaz Bejarano, N., & Valdivia, A. (2026). Thirsty forests and expansive droughts: The environmental impacts of data centers in Latin America. Environment and Planning E: Nature and Space, 9(3), 937-959. 

Edwards, D., Cooper, Z. G. T., & Hogan, M. (2025). The making of critical data center studies. Convergence, 31(2), 429-446. 

Ebert, K., Alder, N., Herbrich, R., & Hacker, P. (2026). AI, climate, and regulation: From data centers to the AI Act. Computer Law & Security Review, 61, 106326. 

Elgamal, M., Mahmoud, A., Wei, G. Y., Brooks, D., & Hills, G. (2025, March). PFASware: Quantifying the Environmental Impact of Per-and Polyfluoroalkyl Substances (PFAS) in Computing Systems. In 2025 Design, Automation & Test in Europe Conference (DATE) (pp. 1-2). IEEE. 

Elgamal, M., Mahmoud, A., Wei, G. Y., Brooks, D., & Hills, G. (2024). The environmental impact of forever chemicals in computing systems. In Workshop on Hot Topics in Ethical Computer Systems

Falk, S., & Van Wynsberghe, A. (2024). Challenging AI for Sustainability: what ought it mean? AI and Ethics, 4(4), 1345-1355. 

Feldscher, K. (2026, April 8). Analyzing air pollution health, economic risks from AI data centers. School of Public Health, Harvard University.

Garcia, M. (2024). AI Uses How Much Water? Navigating Regulation of AI Data Centers’ Water Footprint Post-Watershed Loper Bright Decision. Tex. Tech L. Rev., 57, 517. 

Guidi, G., Dominici, F., Gilmour, J., Butler, K., Bell, E., Delaney, S., & Bargagli-Stoffi, F. J. (2024). Environmental Burden of United States Data Centers in the Artificial Intelligence Era. arXiv e-prints, arXiv-2411. 

Guidi, G., Dominici, F. (preprint). The hidden water geography of U.S. hyperscale data centers in the AI era

Gustafson, E. (2025). AI Data Centers in the United States: A Media Framing Analysis. Florida Communication Journal, 50(2). 

Kairos Fellows. (2025). Google’s Eco-Failures.

Khatib, L., Pham, A., Ahmed, K., & Frenkel, V. S. (2025). Data Centers and Water: Challenges and Solutions for Sustainable Cooling. Journal of the American Water Works Association, 117(8), 48-53. 

López, A. (2023). Seeing microplastic clouds: Using ecomedia literacy for digital technology in environmental education. The Journal of Environmental Education, 54(1), 46-57.

Matisa, E. A., Skrutek, M., Bruna, A., Ozols, E., & Lescinskas, P. (2023).  Unveiling the Green Mirage: Exposing Greenwashing in Tech Companies

Markelius, A., Wright, C., Kuiper, J., Delille, N., & Kuo, Y. T. (2024). The mechanisms of AI hype and its planetary and social costs. AI and Ethics, 4(3), 727-742. 

MacLean, J. (2022). Transnational Corporations and Climate Governance: A Case Study of Amazon. com’s Net-Zero Climate Pledge. Dalhousie LJ, 45, 469.

Monserrate, S. G. (2022). The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage. MIT Case Studies in Social and Ethical Responsibilities of Computing.

Pan Fang, T., & Greenstein, S. (2025). Where the cloud rests: The economic geography of data centers. Strategy Science, 10(4), 404-420. 

Rikap, C., & Weko, S. (2025). A green transition orchestrated from Big Tech clouds? Globalizations, 1-20.

Sander, B. (2025). Confronting risks at the intersection of climate change and artificial intelligence: The promise and perils of rights-based approaches. Netherlands Quarterly of Human Rights, 09240519251336962.

Sastry, G., Heim, L., Belfield, H., Anderljung, M., Brundage, M., Hazell, J., … & Coyle, D. (2024). Computing power and the governance of artificial intelligence. arXiv preprint arXiv:2402.08797

Shi, T., Kumar, R., Hua, I., & Ding, Y. (2025). When Servers Meet Species: A Fab-to-Grave Lens on Computing’s Biodiversity Impact. ACM SIGENERGY Energy Informatics Review, 5(2), 34-40. 

Siddik, M. A. B., Shehabi, A., & Marston, L. (2021). The environmental footprint of data centers in the United States. Environmental Research Letters, 16(6), 064017. 

Taffel, S. (2023). Data and oil: Metaphor, materiality and metabolic rifts. New media & society, 25(5), 980-998.

Tansel, B. (2022). PFAS use in electronic products and exposure risks during handling and processing of e-waste: A review. Journal of Environmental Management, 316, 115291. 

United Nations University (UNU). (2026, June 3). Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints.

Vrikki, P. (2024). Measuring Up? The Illusion of Sustainability and the Limits of Big Tech Self-Regulation. Sustainability, 16(23), 10197.

West, E. (2022). Decoding Amazon’s climate pledge. Amazon: At the Intersection of Culture and Capital, 269.

Yale School of the Environment. (2026, July 10). Data Centers, Urban Heat, and AI Growth.