A Delphi Pilot Study to Assess the Impact of Location Factors for Hyperscale Data Centres

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SDGs in Construction Economics and Organization (CREON 2022)

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Abstract

The rapid expansion of digital technology used by individuals and organisations has resulted in the need for many data centres on a rapid scale. Data centres are high energy-consuming buildings during their operation. Therefore, data centres are increasingly being built in regions with good access to energy infrastructure and cold climates to reduce the cooling energy demands of the facilities. This paper presents location factors that must be considered when estimating and modelling the capital cost of data centres built outside the UK. The research presented here is based on a questionnaire survey conducted as a pilot study of an impending Delphi study. The participant’s responses were obtained via an open-ended questionnaire with a cross-sectional timeframe. A thematic analysis of the responses revealed six overarching themes: ease of doing business, design, customer pricing, land, power and fibre, and supply chain. The three most dominant are land, power and fibre and supply chain. This pilot study confirmed the knowledge gap and supported the need that further investigatory work is required. A complete Delphi study will develop the themes identified in this pilot study to achieve consensus on their significance and support an assessment of the impact of location on the modelling and forecasting of capital expenditure for hyperscale data centres.

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Acknowledgements

The author would like to thank the R & D team at Yondr Group for their support in this research along with all of the expert participants for their response to the questionnaire, without whom this research would not be possible.

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Correspondence to David King .

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King, D., Wanigarathna, N., Jones, K., Ofori-Kuragu, J. (2023). A Delphi Pilot Study to Assess the Impact of Location Factors for Hyperscale Data Centres. In: Lindahl, G., Gottlieb, S.C. (eds) SDGs in Construction Economics and Organization. CREON 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-25498-7_11

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