Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption

Benjamin Camus, A. Blavette, F. Dufossé, Anne-Cécile Orgerie
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引用次数: 1

Abstract

Smart grids allow to efficiently perform demand-side management in electrical grids in order to increase the integration of fluctuating and/or intermittent renewable energy sources in the energy mix. In this paper, we consider a distributed computing cloud partially powered by photovoltaic panels as a self-consumer that can also benefit from geographical flexibility: the computing load can be moved from one data center to another one benefiting from better solar irradiance conditions. The various data centers composing the cloud can then cooperate to better synchronise their consumption with their photovoltaic production. The simulation-based results show that our approach can significantly increase the self-consumption of renewable energy and improve the state-of-the-art management techniques for energy-efficient distributed clouds.
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利用分布式计算云的地理灵活性进行协作式自我消费
智能电网允许在电网中有效地进行需求侧管理,以便在能源结构中增加波动性和/或间歇性可再生能源的整合。在本文中,我们将部分由光伏板供电的分布式计算云视为自消费者,它也可以从地理灵活性中受益:计算负载可以从一个数据中心转移到另一个数据中心,受益于更好的太阳辐照条件。组成云的各个数据中心可以合作,以便更好地将它们的消耗与光伏生产同步。基于仿真的结果表明,我们的方法可以显著提高可再生能源的自我消耗,并改善节能分布式云的最先进的管理技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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