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Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics

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  • Uddin, Mueen
  • Rahman, Azizah Abdul

Abstract

The increasing demand for storage, networking and computation has driven intensification of large complex data centers that run many of today's Internet, financial, commercial and business applications. A data center comprises of many thousands of servers and can use as much energy as small city. Massive amount of computation power is required to drive and run these server farms resulting in many challenging like huge energy consumptions, emission of green house gases, backups and recovery; This paper proposes energy efficiency and low carbon enabler green IT framework for these large and complex server farms to save consumption of electricity and reduce the emission of green house gases to lower the effects of global warming. The framework uses latest energy saving techniques like virtualization, cloud computing and green metrics to achieve greener data centers. It comprises of five phase to properly implement green IT techniques to achieve green data centers. The proposed framework seamlessly divides data center components into different resource pools and then applies green metrics like Power Usage Effectiveness, Data Center Effectiveness and Carbon Emission Calculator to measure performance of individual components so that benchmarking values can be achieved and set as standard to be followed by data centers.

Suggested Citation

  • Uddin, Mueen & Rahman, Azizah Abdul, 2012. "Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4078-4094.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:6:p:4078-4094
    DOI: 10.1016/j.rser.2012.03.014
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    References listed on IDEAS

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    Cited by:

    1. Fulpagare, Yogesh & Bhargav, Atul, 2015. "Advances in data center thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 981-996.
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    3. Kusi-Sarpong, Simonov & Bai, Chunguang & Sarkis, Joseph & Wang, Xuping, 2015. "Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology," Resources Policy, Elsevier, vol. 46(P1), pages 86-100.
    4. Yosr Ammar & Julien Cloarec & Bertrand Valiorgue, 2026. "When green isn't enough: How AI and compliance reframe energy efficiency for sustainable investment," Post-Print hal-05470461, HAL.
    5. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
    6. Bekaroo, Girish & Bokhoree, Chandradeo & Pattinson, Colin, 2016. "Impacts of ICT on the natural ecosystem: A grassroot analysis for promoting socio-environmental sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1580-1595.
    7. Tao, Zhibin & Chao, Jiaxiao, 2024. "Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices," Innovation and Green Development, Elsevier, vol. 3(3).
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    9. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
    10. Yosr Ammar & Julien Cloarec & Bertrand Valiorgue, 2025. "How AI-driven certified energy management systems shape sustainable investment," Post-Print hal-05470476, HAL.
    11. Oró, Eduard & Depoorter, Victor & Garcia, Albert & Salom, Jaume, 2015. "Energy efficiency and renewable energy integration in data centres. Strategies and modelling review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 429-445.
    12. Liu, Qing & Wei, Yi, 2025. "The role of renewable energy transitions in promoting sustainable rural tourism and cultural heritage preservation: Health, economic, and environmental impacts," Energy, Elsevier, vol. 332(C).
    13. Di Salvo, André L.A. & Agostinho, Feni & Almeida, Cecília M.V.B. & Giannetti, Biagio F., 2017. "Can cloud computing be labeled as “green”? Insights under an environmental accounting perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 514-526.
    14. Radonjič, Gregor & Tompa, Saša, 2018. "Carbon footprint calculation in telecommunications companies – The importance and relevance of scope 3 greenhouse gases emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 361-375.
    15. Rong, Huigui & Zhang, Haomin & Xiao, Sheng & Li, Canbing & Hu, Chunhua, 2016. "Optimizing energy consumption for data centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 674-691.
    16. Islam Shamimul & Karia Noorliza & Fauzi Firdaus Bin Ahmad & Soliman Mohamed, 2017. "A review on green supply chain aspects and practices," Management & Marketing, Sciendo, vol. 12(1), pages 12-36, March.
    17. Zhang, Fuyu & Wang, Qiang & Li, Rongrong, 2025. "How does clean energy reshape the relationship between artificial intelligence and carbon emissions? Evidence from renewable and nuclear energy," Energy Economics, Elsevier, vol. 149(C).
    18. Silva-Llanca, Luis & Ortega, Alfonso & Fouladi, Kamran & del Valle, Marcelo & Sundaralingam, Vikneshan, 2018. "Determining wasted energy in the airside of a perimeter-cooled data center via direct computation of the Exergy Destruction," Applied Energy, Elsevier, vol. 213(C), pages 235-246.
    19. Emmanuel Baffour Gyau & Daniel Adu & Paschal P. Paaga, 2026. "Does Energy Accessibility Influence Information and Communication Technology Infrastructure Development?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 17(1), pages 2232-2262, February.
    20. Shuja, Junaid & Gani, Abdullah & Shamshirband, Shahaboddin & Ahmad, Raja Wasim & Bilal, Kashif, 2016. "Sustainable Cloud Data Centers: A survey of enabling techniques and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 195-214.
    21. Uddin, Mueen & Darabidarabkhani, Yasaman & Shah, Asadullah & Memon, Jamshed, 2015. "Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1553-1563.

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