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dc.contributor.authorKing, David
dc.contributor.authorWanigarathna, Nadeeshani
dc.contributor.authorJones, Keith
dc.contributor.authorOfori-Kuragu, Joseph
dc.date.accessioned2024-04-02T15:46:23Z
dc.date.available2024-04-02T15:46:23Z
dc.date.issued2023
dc.identifierONIX_20240402_9791221502893_64
dc.identifier.issn2704-5846
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/89095
dc.description.abstractThe theme of ‘Managing the digital transformation of the construction industry’ emphasises the importance of considering various dimensions of digitalisation and optimising the built environment. This review aims to present methodological approaches from existing literature that elucidate location-related factors impacting the capital cost of data centres. These findings facilitate adjustments to historical cost data when estimating total costs for new data centres. A systematic literature review method was employed to ensure an objective and comprehensive synthesis. In conjunction with Bayes's theory, this review identifies that a Delphi methodology is the most suitable methodological approach for forecasting and modelling capital expenditure for hyper-scale data centres. The methodology enables collective decision-making and consensus building, recognising the stakeholder's pivotal role in shaping the future of data centres. These findings offer valuable insights for researchers and practitioners in forming a methodological approach for further investigations into the location-related factors impacting the capital cost of data centres. Embracing this knowledge allows us to align research and practice, ensuring that these practices become integral to shaping the future of data centres and the digitalisation and optimisation of the built environment
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.subject.classificationthema EDItEUR::U Computing and Information Technology
dc.subject.othercost
dc.subject.otherdecision analysis
dc.subject.otherforecasting
dc.subject.otherdata centres
dc.titleChapter A Systematic Literature Review to Identify a Methodological Approach for Use in the Modelling and Forecasting of Capital Expenditure of Hyperscale Data Centres
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0289-3.37
oapen.relation.isPublishedBybf65d21a-78e5-4ba2-983a-dbfa90962870
oapen.relation.isbn9791221502893
oapen.series.number137
oapen.pages8
oapen.place.publicationFlorence


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