映射数据中心业务类型与电源管理策略,以确定需求响应候选人

Sonja Klingert
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引用次数: 6

摘要

数据中心是未来能源系统的关键,间歇性可再生能源占很大比例。它们形成了云,使现代生活方式和基于网络物理的生产成为可能;然而,完成这些任务使它们成为IT电源需求中增长最快的组件。在未来的能源系统中,消费者电力需求的灵活性将是对日益增长的电力供应间歇性的必要回应。因此,作为大消费者的数据中心成为一个目标电力消费群体,将其灵活性潜力融入到日常业务运营中。几年来,研究人员已经看到了这种必要性,并开发了技术策略来控制数据中心的电力配置,确定了巨大的需求响应潜力。然而,到目前为止,几乎没有任何数据中心向电力市场提供灵活性。造成数据中心电力灵活性的技术潜力和实现价值之间存在差距的原因是多方面的。本文旨在从业务角度分析这一差距:哪种类型的数据中心通常有允许必要的电力灵活性的客户合同?数据中心在多大程度上对其电力配置有必要的控制?为了解决这一系列问题,第一步是创建数据中心的类型和节能策略。然后用合适的电源管理策略对数据中心类型进行映射,最后讨论了映射过程的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping Data Centre Business Types with Power Management Strategies to Identify Demand Response Candidates
Data centres are key to a future energy system with a high share of intermittent renewable energy sources. They form the cloud that enables a modern life-style and cyber-physical based production; however, fulfilling these tasks makes them the fastest growing component of IT power demand. In the future energy system the flexibility of consumers' power demand will be a necessary response to the growing intermittency of power supply. Therefore, data centres as big consumers become one target power consumer group to integrate their flexibility potential into daily business operation. Research has seen this necessity for some years and developed technical strategies to control the power profile of a data centre, identifying a huge demand response potential. To date, however, hardly any data centre offers their flexbility to the power market. The reasons for the gap between the technical potential and realized valorization of a data centre's power flexibility are manifold. This paper aims at analysing this gap from a business viewpoint: Which data centre types do generally have customer contracts allowing for the necessary power flexibility? And to which degree do data centres have the necessary control over their power profile? In order to approach this set of questions, in a first step, typologies of data centres and of power saving strategies are created. Then data centre types are mapped with suitable power management strategies, and finally the results of this mapping process are discussed.
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