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Energy and Water Environmental Trade-Offs of Data Center Cooling Technologies

机译:数据中心冷却技术的能源和水环境权衡

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摘要

Historically, the rising cost of energy has been a huge driver for data center energy efficiency, and the contribution of this consumption to climate change is ever more evident. As the industry begins to look beyond energy consumption, it has become aware that environmental impact derives not just from energy consumption, but also from our use of natural resources. To ensure optimization measures do not cause a burden shift, these interdependent issues should not be considered in isolation. Data centers consume energy to power and cool IT equipment. Current optimization efforts largely focus on the operation of cooling technologies. These can be categorized simplistically according to their use of air or water to remove the heat created by the IT equipment. Design decisions are based on the theoretical energy consumption, and resulting running costs that a certain technology has in a given location. However, water is a valuable natural resource and currently it is difficult to expand this analysis to consider its consumption alongside that of energy. It is also difficult to understand whether indirect impacts of water and energy consumption outweigh any savings of one technology over another during operation. For example, water is consumed during the production of energy, the amount of which depends on the source of generation. To understand these impacts a life cycle approach is required. Such an approach acknowledges that water and energy are consumed from the moment raw materials are extracted and combined into process materials, to the point that it is used and then disposed of. A full life cycle impact of the different cooling technologies in a data center would consider the impacts of operation as well as those embodied in them. This, however, is a time-consuming process. Instead, the industry needs life cycle based tools and metrics that can expedite this decision process. Using life cycle assessment (LCA) to determine a single numerical value for total environmental impact, the work in this paper provides simple equations that allow designers to understand the environmental implications of their water and energy use in different parts of the world. A number of theoretical case studies are then used to demonstrate its application. Future work should look to include embodied impacts.
机译:从历史上看,能源成本的上涨一直是数据中心能源效率的巨大驱动力,这种消耗对气候变化的贡献越来越明显。随着行业开始超越能源消耗,人们已经意识到,环境影响不仅来自能源消耗,还来自我们对自然资源的利用。为了确保优化措施不会导致负担转移,这些相互依存的问题不应孤立考虑。数据中心消耗能量来为IT设备供电和冷却。当前的优化工作主要集中在冷却技术的操作上。这些可以根据它们对空气或水的使用进行简单分类,以消除IT设备产生的热量。设计决策是基于理论上的能耗以及特定技术在给定位置所产生的运行成本。但是,水是一种宝贵的自然资源,目前很难扩展此分析以将其消耗与能源消耗一起考虑。很难理解水和能源消耗的间接影响是否超过一种技术在运行过程中所节省的成本。例如,在能源生产过程中会消耗水,水的数量取决于发电来源。要了解这些影响,需要使用生命周期方法。这样的方法承认,从原材料被提取并合并为加工材料到使用和处置它们的那一刻起,水和能量就被消耗掉了。数据中心中不同冷却技术对整个生命周期的影响将考虑操作以及其中体现的影响。但是,这是一个耗时的过程。相反,行业需要基于生命周期的工具和指标,以加快这一决策过程。本文使用生命周期评估(LCA)确定总环境影响的单个数值,提供了简单的方程式,使设计人员能够了解其在世界各地使用水和能源的环境影响。然后,使用大量理论案例研究来证明其应用。未来的工作应该包括具体的影响。

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