Digital data demand and renewable energy limits: Forecasting the impacts on global electricity supply and sustainability

被引:1
|
作者
Castro, Vitor [1 ]
Georgiou, Marios [2 ]
Jackson, Thomas [1 ]
Hodgkinson, Ian R. [1 ]
Jackson, Lisa [2 ]
Lockwood, Steve [1 ]
机构
[1] Loughborough Univ, Loughborough Business Sch, Loughborough, England
[2] Loughborough Univ, Aeronaut & Automot Engn, Loughborough, England
关键词
Digital data; Energy demand; Renewable energy; Greenhouse gas emissions; Forecasting; FOOTPRINT;
D O I
10.1016/j.enpol.2024.114404
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study critically evaluates whether the current and projected generation of renewable energy can meet the escalating global demand for electricity from digital data growth. Our modelling forecasts reveal a concerning trend: despite the expansion in renewable energy capacities, they are likely insufficient to satisfy the burgeoning electricity needs of the digital data sector. More alarmingly, there is a real risk that the demand for digital data could soon exceed feasible electricity production capabilities. This paper underscores the urgent necessity for a data-centric sustainability approach across all supply chains, sectors, industries, and nations. Such measures are crucial to increase efficiency, cut energy usage, and transition towards a decarbonized digital ecosystem, thereby supporting the global pursuit of a sustainable, net-zero future. This research highlights a critical junction in energy policy and digital infrastructure planning, urging immediate action to reconcile digital advancement with ecological sustainability.
引用
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页数:14
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