数据中心的可再生能源:电网依赖与自主成本的两难选择

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Wedan Emmanuel Gnibga;Anne Blavette;Anne-Cécile Orgerie
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引用次数: 0

摘要

为了减少碳足迹,必须在数据中心的电力组合中增加可再生能源的比例。然而,由于可再生能源具有间歇性和波动性,因此无法单独提供全天候供电,而应与辅助能源相结合。找到既能满足可再生能源生产又能降低财务成本的最佳基础设施配置仍然很困难。在本文中,我们研究了现场可再生能源分别与电网、单独电池和带储氢系统的电池相结合的三种方案。我们的目标首先是利用标准微电网组合方法优化电力基础设施的规模,其次是量化数据中心从电网消耗/向电网输出电力时的电网利用水平,确定电网运营商需要付出的努力,最后是分析基于电池的配置所提供的 100% 自主性的成本,并讨论其经济可行性。我们的研究结果表明,在依赖电网的模式下,63.1% 的发电量需要注入电网,然后再收回。在自主配置中,包括氢储存在内的最便宜配置的单位成本要比许多国家的国家电力系统提供的电力贵得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable Energy in Data Centers: The Dilemma of Electrical Grid Dependency and Autonomy Costs
Integrating larger shares of renewables in data centers’ electrical mix is mandatory to reduce their carbon footprint. However, as they are intermittent and fluctuating, renewable energies alone cannot provide a 24/7 supply and should be combined with a secondary source. Finding the optimal infrastructure configuration for both renewable production and financial costs remains difficult. In this article, we examine three scenarios with on-site renewable energy sources combined respectively with the electrical grid, batteries alone and batteries with hydrogen storage systems. The objectives are first, to size optimally the electric infrastructure using combinations of standard microgrids approaches, second to quantify the level of grid utilization when data centers consume/ export electricity from/to the grid, to determine the level of effort required from the grid operator, and finally to analyze the cost of 100% autonomy provided by the battery-based configurations and to discuss their economical viability. Our results show that in the grid-dependent mode, 63.1% of the generated electricity has to be injected into the grid and retrieved later. In the autonomous configurations, the cheapest one including hydrogen storage leads to a unit cost significantly more expensive than the electricity supplied from a national power system in many countries.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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