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A Review of Top-Down Models of Internet Network Energy Intensity

机译:互联网网络能源强度自上而下模型的综述

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Assessments of digital services wishing to take into account an energy footprint of the Internet typically require models of the energy intensity of the Internet. A common approach to the modeling of the energy intensity is to combine estimates of market surveys of installed network devices on a national or global scale and their related power consumption with the total data volume transported at the same scale. These are commonly referred to as top-down models. In order to be applicable, the system boundaries applied in the modeling of energy intensity need to match the system that delivers the particular digital service. The system boundaries applied in past studies vary considerably, resulting in increased uncertainty in the assessment results. In this text, we firstly reconsider the components of the network relevant for the delivery of general public digital services that should be included in an energy footprint. We then reinterpret the existing models in the light of those altered system boundaries. Secondly, we review existing assumptions about annual reduction of energy intensity and consider the effect of uncertainty in these on the overall estimates of energy intensity. We find that the energy intensity of the general Internet network in the year 2014 varies between 0.05 and 0.6 kWh/GB when top-down modeling is applied which is considerably lower than previous estimates had indicated.
机译:希望考虑互联网的能量足迹的数字服务评估通常需要互联网能源强度的模型。能量强度建模的常见方法是将安装网络设备的市场调查估算与国家或全球规模的市场调查相结合,以及它们以相同规模传输的总数据量的相关功耗。这些通常被称为自上而下的模型。为了适用,在能量强度建模中应用的系统界限需要匹配提供特定数字服务的系统。过去研究中应用的系统界限随之而来,导致评估结果中的不确定性增加。在本文中,我们首先重新考虑了网络的组件,该组件与交付应包括在能量足迹中的一般公共数字服务。然后,我们根据那些改变的系统边界来重新解释现有模型。其次,我们审查了关于能源强度的年度减少的现有假设,并考虑在这些关于能源强度的整体估计中的不确定性的影响。我们发现,当应用自上而下建模时,2014年,2014年的一般互联网网络的能量强度在0.05和0.6千瓦时/ GB之间变化,这比先前的估计值相当低。

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