2025年数据中心值得关注的冷却趋势和策略

2025年数据中心值得关注的冷却趋势和策略

Data Center Cooling: Trends and Strategies to Watch in 2025

By Ch ristopher Tozzi , January 3, 2025

2025年数据中心的冷却趋势聚焦于液体冷却、热能再利用以及分析技术，以应对不断上升的温度和可持续性挑战。

Data center cooling trends for 2025 include liquid cooling, heat reuse, and analytics to tackle rising temperatures and sustainability challenges.

数据中心运营商正借助液冷和热量再利用来应对不断上升的温度并增强可持续性。

Data center operators are leveraging liquid cooling and heat reuse to combat rising temperatures and enhance sustainability.

随着人工智能、云计算和高性能计算的快速发展，数据中心行业竞相满足激增需求，冷却技术已成为关键的推动因素和主要压力点。

As the data center industry races to meet skyrocketing demand driven by the rapid acceleration of AI, cloud computing, and high-performance computing, cooling technology has emerged as both a critical enabler and a major pressure point.

随着这些先进系统推动能源消耗，管理这些系统的电力需求和它们产生的热量是必不可少的，也是具有挑战性。数据中心现在消耗了全球约1%的电力，到2030年，这一比例可能激增至8%，相当于10多亿美国家庭的能源使用量。

With these advanced systems driving up energy consumption, managing the power demands and the heat these systems generate is essential and challenging. Data centers now consume about 1% of the world’s electricity, and by 2030, some estimates suggest this could surge to 8%, equal to the energy use of over a billion US homes.

以下是数据中心行业面临的五个挑战，以及该行业将如何发展以克服这些障碍：比传统应用程序更多的热量。

Here are five challenges the data center industry is facing and how the industry will evolve to overcome these hurdles:generate more heat than traditional applications.

结果是，在2025年及以后，寻找改善数据中心冷却的方法不仅仅是节省资金或减少碳排放。这也还将成为确保设施能够容纳人工智能而不过热的关键。

The result is that in 2025 and beyond, finding ways to improve data center cooling won’t simply be about saving money or reducing carbon emissions. It will also become critical for ensuring that facilities can accommodate AI without overheating.

一种更有效地散热的方法是用液体冷却系统取代传统的空气冷却。这些可能包括浸没式冷却，它将设备覆盖在非导电液体中，这是一种非常高效但成本高昂的冷却方法，以及直接到芯片冷却，它直接从芯片传递热量。

One way to dissipate heat more effectively is to replace traditional air coolers with liquid cooling systems. These may include immersion cooling, which covers equipment in non-conductive liquid, an extremely efficient – but costly – cooling method, and direct-to-chip cooling, which transfers heat directly from chips.

液体冷却系统通常比传统冷却解决方案昂贵得多，并且很难在现有设施中进行改造。但根据IDC的数据显示，已经有22%的数据中心部署了液体冷却系统。随着数据中心运营商应对人工智能带来的额外热量负荷，以及利用诸如Castor最近推出的基于 丙二醇 的新型直接芯片冷却液等创新技术来提高液体冷却的效率和可靠性，预计这一比例在新的一年中将会增长。

Liquid cooling systems are generally much more expensive than traditional cooling solutions, and they can be difficult to retrofit into existing facilities. But according to IDC, 22% of data centers already have liquid cooling systems in place. Expect that figure to grow in the new year as data center operators respond to contend with the added heat load of AI – and as data centers leverage new innovations designed to make liquid cooling more efficient and reliable, such as a novel propylene glycol-based direct-to-chip cooling fluid recently unveiled by Castor.

在当今竞争激烈的格局中，人工智能需求的激增加剧了对关键零部件的争夺，而供应链的脆弱性如今正受到港口罢工和日益激烈的全球竞争等因素的影响。

In today’s competitive landscape, the surge in AI demand has intensified the race for critical components, with supply chain vulnerabilities now shaped by factors like port strikes and heightened global competition.

随着冷却设备需求的增长，企业开始关注近岸业务，并建立多层次的供应商网络。这种转变使数据中心能够从其运营中心附近采购关键的冷却组件，减少对国际供应商的依赖并最大限度地减少延迟。

As the demand for cooling equipment grows, companies are focusing on nearshoring and establishing multi-tiered supplier networks. This shift allows data centers to source critical cooling components closer to their operational hubs, reducing dependency on international suppliers and minimizing delays.

在美国，冷却系统制造商也在参与合作伙伴关系，确保更快地部署专用设备，并帮助客户以更少的中断实现雄心勃勃的增长目标。

In the US, cooling system manufacturers are also engaging in collaborative partnerships, ensuring faster deployment of specialized equipment and helping clients meet ambitious growth targets with fewer disruptions.

更新、更高效的冷却技术（例如我们之前提到的液体冷却）是一种实现方式。但另一种策略则是简单地重新利用冷却系统从数据中心排出的热量。例如，社区可以在家庭中重复利用热量用于取暖，或者更富有创意地，利用这些热量加热游泳池或种植植物。

Newer, more efficient cooling technologies (such as liquid cooling, which we mentioned above) are one way to do this. But another strategy is simply to repurpose the heat that cooling systems pump out of data centers. Communities can reuse heat in homes, for example – or, in a more creative vein, they can heat swimming pools or grow plants.

如果你想优化你的数据中心冷却系统，你必须首先找出它的薄弱环节。这就是冷却系统传感器和数据分析发挥作用的地方。通过收集和分析数据中心各个部分的温度等数据，操作人员可以确定哪些设备的运行温度高于正常水平。他们还可以发现冷却系统排出的热量超出必要的实例，这可能是冷却能力与能源浪费的迹象。