Combining Renewable Solar and Open Air Cooling for Greening Internet-Scale Distributed Networks
Combining Renewable Solar and Open Air Cooling for Greening Internet-Scale Distributed Networks
复制标题
结合可再生太阳能和露天冷却，实现互联网规模分布式网络的绿色化
DOI：
10.1145/3307772.3328307
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Sitaraman, Ramesh K.
中科院分区：
文献类型：
--
作者：
Gupta, Vani;Shenoy, Prashant;Sitaraman, Ramesh K.
互联网规模的分布式网络（IDN）的广泛采用和普及导致了这些网络的基础设施的爆炸性增长。不幸的是，这种增长也导致了能源消耗的迅速增加，并伴随着环境影响。因此，能源效率是运营和设计这些耗电网络的关键考虑因素。在本文中，我们研究了结合两种对比的可再生能源，即太阳能和露天冷却（OAC）的绿化潜力。OAC涉及使用外部空气来冷却数据中心，如果外部天气足够寒冷和干燥。因此，OAC可能在寒冷的天气和夜间丰富。相比之下，太阳能与晴朗的天气和白天有关。鉴于它们截然不同的性质，我们研究合成这两种可再生能源是否可以产生互补的好处。考虑到可再生能源的间歇性，我们使用电池和负载转移来促进绿色能源的使用，并根据电池尺寸、太阳能电池板数量和负载移动半径等关键参数研究减少棕色能源的权衡。我们进行详细的成本分析，包括摊销成本节约以及不同能源价格的盈亏平衡分析。我们的结果看起来令人鼓舞，我们发现，我们可以显着减少约55%至59%的棕色能源消耗，只是通过结合这两种技术。通过在5000公里半径内增加负载移动，我们可以将节省进一步提高到60%到65%之间，通过增加电池，可以提高到73%到89%之间。
The widespread adoption and popularity of Internet-scale Distributed Networks (IDNs) has led to an explosive growth in the infrastructure of these networks. Unfortunately, this growth has also led to a rapid increase in energy consumption with its accompanying environmental impact. Therefore, energy efficiency is a key consideration in operating and designing these power-hungry networks. In this paper, we study the greening potential of combining two contrasting sources of renewable energy, namely solar energy and Open Air Cooling (OAC). OAC involves the use of outside air to cool data centers if the weather outside is cold and dry enough. Therefore OAC is likely to be abundant in colder weather and at night-time. In contrast, solar energy is correlated with sunny weather and day-time. Given their contrasting natures, we study whether synthesizing these two renewable sources of energy can yield complementary benefits. Given the intermittent nature of renewable energy, we use batteries and load shifting to facilitate the use of green energy and study trade-offs in brown energy reduction based on key parameters like battery size, number of solar panels, and radius of load movement. We do a detailed cost analysis, including amortized cost savings as well as a break-even analysis for different energy prices. Our results look encouraging and we find that we can significantly reduce brown energy consumption by about 55% to 59% just by combining the two technologies. We can increase our savings further to between 60% to 65% by adding load movement within a radius of 5000kms, and to between 73% to 89% by adding batteries.
DOI：
10.1109/igcc.2013.6604510
发表时间：
2013-06
期刊：
2013 International Green Computing Conference Proceedings
影响因子：
--
作者：
Vimal Mathew;R. Sitaraman;Prashant J. Shenoy
通讯作者：
Vimal Mathew;R. Sitaraman;Prashant J. Shenoy
时间和日期
DOI：
--
发表时间：
1997
期刊：
影响因子：
--
作者：
吴上元
通讯作者：
吴上元
模块化数据中心的能源和火用分析
DOI：
10.1109/tcpmt.2017.2705055
发表时间：
2017
期刊：
Packaging and Manufacturing Technology
影响因子：
--
作者：
Khalid, Rehan;Wemhoff, Aaron P.;Joshi, Yogendra
通讯作者：
Joshi, Yogendra