Tools Towards the Sustainability and Circularity of Data Centers

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Manganelli M, Soldati A, Martirano L, Ramakrishna S (2021) Strategies for improving the sustainability of data centers via energy mix, energy conservation, and circular energy. Sustainability 13(11):6114. https://doi.org/10.3390/su13116114

Matko V, Brezovec B, Milanovič M (2019) Intelligent monitoring of data center physical infrastructure. Appl Sci 9(23):4998. https://doi.org/10.3390/app9234998

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Carrière S, Weigend Rodríguez R, Pey P, Pomponi F, Ramakrishna S (2020) Circular cities: the case of Singapore. Built Environ Project Asset Manag 10(4):491–507. https://doi.org/10.1108/BEPAM-12-2019-0137

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Reyher B (2022) Data centers must gain control over embodied carbon. Retrieved from https://www.datacenterdynamics.com/en/opinions/data-centers-must-gain-control-over-embodied-carbon/

ITRenew is powering the circular cloud - learn more. ITRenew. (2020). Retrieved 1 June 2020, from https://www.itrenew.com/circular-cloud/.

Amazon offers 1-day shipping on more items than ever. The environmental toll is huge. Vox. (2020). Retrieved 16 May 2020, from https://www.vox.com/the-goods/2019/10/16/20917467/amazon-one-day-shipping-bad-for-environment.

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CEDaCI (circular economy for the data centre industry). London South Bank University. Retrieved 12 March 2022, from https://www.lsbu.ac.uk/stories-finder/cedaci-circular-economy-for-the-data-centre-industry.

(2015) 30 Sustainable Nordic buildings best practice examples based on the charter principles. Norway: Nordic Innovation. https://www.nordicinnovation.org/2015/30-sustainable-nordic-buildings

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Sigwadi, Loshani (2020) Data Science and the Fourth Industrial Revolution (4IR). https://www.researchgate.net/publication/338646309_Data_Science_and_the_Fourth_Industrial_Revolution_4IR

Kawaguchi S, Azegami S, Suzuki Y, Yamate R (2017) Realization of energy-efficient, green data centers. 55 FUJITSU Sci. Tech J 53:55–61

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Kaab A, Sharifi M, Mobli H, Nabavi-Pelesaraei A (2019) Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production. Sci Total Environ 664:1105–1019. https://doi.org/10.1016/j.scitotenv.2019.02.004

Nabavi-Pelesaraei A, Rafiee S, Mohtasebi S, Hosseinzadeh-Bandbafha H, Chau K (2018) Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production. Sci Total Environ 631–632:1279–1294. https://doi.org/10.1016/j.scitotenv.2018.03.088

Šipka S (2021) Towards circular e-waste management: how can digitalisation help?. Retrieved from https://weee-forum.org/wp-content/uploads/2021/09/Towards-circular-ewaste-management_how-can-digitalisation-help_EPC.pdf

Flucker S, Tozer R, Whitehead B (2018) Data centre sustainability – beyond energy efficiency. Build Services Eng Res Technol 39(2):173–182. https://doi.org/10.1177/0143624417753022

Ristic B, Madani K, Makuch Z (2015) The water footprint of data centers. Sustainability 7(8):11260–11284. https://doi.org/10.3390/su70811260

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Sustainable Development Goals for Data Centers (2020) Retrieved 5 June 2020, from https://www.sdg-dc.com/.

How blockchains can tackle the UN Sustainable Development Goals. PA Consulting. Retrieved 13 June 2022, from https://www.paconsulting.com/insights/how-blockchains-tackle-UN-sustainable-development-goals/.