bibliography activity by roberta buiani

Group names

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Group Names

2025-09-19 14:59:12 UTC

Milena, Chloe, Manon, Ioanna

Workshop #1

2025-09-19 14:59:16 UTC

Our first Search was “Data Cooling” And our narrowed one is “ Data cooling” with tags of “Technologies”, “sustainability” and “New”

Screenshot

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Group Names

2025-09-19 15:03:40 UTC

Omar, Alex, Nick

Narrowed topics (key words)

2025-09-19 15:05:34 UTC

Group Names

2025-09-19 15:06:00 UTC

Darryl, Gabriel, Mani

General Search

2025-09-19 15:06:33 UTC

2025-09-19 15:07:22 UTC

2025-09-19 15:07:37 UTC

2025-09-19 15:08:49 UTC

Citations:

Fang, Y., Cao, H., & Sun, J. (2022). Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect. International Journal of Environmental Research and Public Health, 19(22), Article 14776. https://doi.org/10.3390/ijerph192214776

Guo, Q., Peng, Y., & Luo, K. (2025). The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China. Energy Economics, 141, Article 108136. https://doi.org/10.1016/j.eneco.2024.108136

Studies from China University of Petroleum Update Current Data on Artificial Intelligence. (2024). In Global Warming Focus (p. 1598). NewsRX LLC.

Our Searches

2025-09-19 15:09:04 UTC

General Topic (first search): The impacts of artificial intelligence

Advanced Search: The impacts of artificial intelligence on medical issues in canada

General Search

2025-09-19 15:10:21 UTC

Our first search was Immersion Cooling.

Our bibliography/sources

2025-09-19 15:10:27 UTC

Narrowed Search

2025-09-19 15:12:05 UTC

Since our first search was Immersion Cooling, we wanted to expand on our search by adding key words such as "development" "efficiency" "energy"

References

2025-09-19 15:14:39 UTC

Birbarah, P., Gebrael, T., Foulkes, T., Stillwell, A., Moore, A., Pilawa-Podgurski, R., & Miljkovic, N. (2020). Water immersion cooling of high power density electronics. International Journal of Heat and Mass Transfer, 147, Article 118918. https://doi.org/10.1016/j.ijheatmasstransfer.2019.118918

Dai, J., Ohadi, M. M., Das, D., & Pecht, M. G. (2014). Optimum Cooling of Data Centers : Application of Risk Assessment and Mitigation Techniques (1st ed. 2014.). Springer New York. https://doi.org/10.1007/978-1-4614-5602-5

Pambudi, N. A., Sarifudin, A., Firdaus, R. A., Ulfa, D. K., Gandidi, I. M., & Romadhon, R. (2022). The immersion cooling technology: Current and future development in energy saving. Alexandria Engineering Journal, 61(12), 9509–9527. https://doi.org/10.1016/j.aej.2022.02.059

citation 1

2025-09-19 15:16:16 UTC

Kanbur, Baris B., et al. “Combined Heat and Power Generation via Hybrid Data Center Cooling‐polymer Electrolyte Membrane Fuel Cell System.” International Journal of Energy Research, vol. 44, no. 6, 2020, pp. 4759–72, https://doi.org/10.1002/er.5256.

Sustainability - additional search (Darryl, Gabriel, Mani)

2025-09-19 15:16:18 UTC

Advanced Search Key Terms

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3rd Citation

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Zhou, Y., Wang, Z., Wei, F., Li, S., Liu, J., & Yu, D. (2025). Sustainability of direct air-side free cooling data centers in China: An assessment based on operational optimization. Applied Thermal Engineering, 273, Article 126462. https://doi.org/10.1016/j.applthermaleng.2025.126462

Citation 2

2025-09-19 15:17:18 UTC

Zhuang, R., Zhou, F., Tian, X., Xu, B., Li, S., & Ma, G. (2023). Performance Study of Booster-Driven Hybrid Cooling Units for Free Cooling in Data Centers. Sustainability, 15(19), Article 14558. https://doi.org/10.3390/su151914558

Sources

2025-09-19 15:20:20 UTC

Khan, S. U., Khan, N., Ullah, F. U. M., Kim, M. J., Lee, M. Y., & Baik, S. W. (2023). Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting. Energy and Buildings, 279, Article 112705. https://doi.org/10.1016/j.enbuild.2022.112705

Khan, S. U., Iqbal, E., Khan, N., Zweiri, Y., & Abdulrahman, Y. (2025). Towards net zero energy building: AI-based framework for power consumption and generation prediction. Energy and Buildings, 331, Article 115311. https://doi.org/10.1016/j.enbuild.2025.115311

Kunitake, H., Baba, H., Okuno, N., Ito, Y., Takahashi, M., Jimbo, Y., Hodo, R., Kurokawa, Y., Onuki, T., Sasagawa, S., Yamane, Y., & Yamazaki, S. (2021). (Invited) Crystalline Oxide Semiconductor Applicable to Low-Power Consumption Edge AI. ECS Transactions, 102(2), 3–18. https://doi.org/10.1149/10202.0003ecst