- \n
- In data centers, cooling energy consumption accounts for an average of over 30% of total consumption.<\/li>\n
- The global energy consumption for data center cooling is expected to rise from 136 to 257 TWh by mid-decade.<\/li>\n
- ebm-papst’s NEXAIRA.Systems reduces cooling energy consumption by up to 50% using artificial intelligence.<\/li>\n
- The AI solution creates a digital twin of the cooling system for precise control of all components.<\/li>\n
- From July 2027, a statutory PUE maximum value will apply in Germany, which NEXAIRA.Systems helps to maintain.<\/li>\n<\/ul>\n
Advertisement<\/em><\/p>\n
Intelligent, efficient, and reliable. The AI-powered cooling system optimization by ebm-papst reduces cooling energy consumption, electricity costs, and CO2 emissions of data centers, making them ready for the future of data usage with AI, as Pascal K\u00f6hler, Director Business Innovation & Marketing at ebm-papst neo, shows in his article. <\/strong><\/p>\n
Data centers are an essential part of the global digital infrastructure. Due to the increasing use of data for business and private purposes, the energy-intensive operation of modern data centers poses a significant challenge for their operators. Energy demand grows faster than the existing energy infrastructure, particularly with the increased use of artificial intelligence (AI), so energy availability quickly reaches its limits.<\/p>\n
Legal requirements for improved energy efficiency and CO\u2082 reduction increase the complexity of proper operation. The system-relevant cooling of plants plays a significant role. On average, more than 30 percent of the energy required by data centers is used for cooling. In the future, global energy consumption for data center cooling will increase from 136 to 257 terawatt-hours – and the costs for energy demand will rise from $19 to $36 billion.<\/p>\n
These challenges can be reliably managed with NEXAIRA.Systems from ebm-papst. The innovative solution helps data center operators reduce their plants’ energy needs and achieve their sustainability goals. NEXAIRA.Systems considers the entire cooling circuit, optimizes it considering all components, and controls it for optimal operation.<\/p>\n
A digital twin for maximum energy efficiency<\/h2>\n
The AI-powered cooling optimization by NEXAIRA.Systems creates a digital twin of the on-site cooling system and mathematically models the individual components. This enables more precise predictions of cooling demand and optimal control of all components, considering current environmental conditions.<\/p>\n
The intelligent management and control of all components achieve enormous energy savings. Cooling energy consumption can be reduced by up to 50%, simultaneously reducing electricity costs and CO\u2082 emissions. The increasing demand for data center infrastructure is thus met with optimal and efficient operation. The investment in AI-powered cooling system optimization pays off after about a year.<\/p>\n
PUE value: Easier compliance with legal requirements<\/h2>\n
The innovative solution also has a significant impact on the Power Usage Effectiveness (PUE) value. The German government’s Energy Efficiency Act stipulates clear PUE maximum values for all data centers in Germany from July 2027. By reducing the energy required for server cooling, NEXAIRA.Systems lowers the PUE value of the system and helps meet the legal requirements for energy consumption effectiveness.<\/p>\n
![\"Up](\"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2025\/04\/Cloud-Magazin-Banner-700x700-1.png\")
<\/a><\/p>\n\n\n36 billion dollars<\/div>\nare expected to rise. These challenges can be reliably<\/div>\n<\/div>\n\n\n30 percent<\/div>\nof the energy required by data centers for cooling<\/div>\n<\/div>\n\n50 %<\/div>\ncan be reduced, thereby simultaneously reducing electricity costs and CO\u2082 emissions<\/div>\n<\/div>\n<\/div>\n<\/div>\nReady for the demands of AI<\/h2>\n
As Artificial Intelligence (AI) becomes increasingly prevalent in business and everyday life, data centers face new challenges related to energy availability and consumption. One of the most critical aspects is energy efficiency, as AI training requires significantly more power than classical data processing.<\/p>\n
The higher power density of AI workloads requires more effective cooling solutions, as the increased cooling demand also leads to rising energy consumption. This quickly pushes cooling systems to their capacity limits during peak loads. Therefore, intelligent control of the entire cooling system is necessary. NEXAIRA.Systems helps with its AI-based cooling optimization to control cooling demand in real-time – for maximum energy efficiency and optimal preparation of cooling for the high computing demands of AI workloads.<\/p>\n
\n \n”<\/span><\/p>\n
\/\/ Key point<\/div>\nGoing forward, the energy consumption for cooling data centers worldwide is expected to rise from 136 to 257 terawatt-hours – and the costs for energy consumption will increase from 19 to 36 billion dollars.<\/p>\n<\/blockquote>\n<\/figure>\n
Data Security Without Compromise<\/h2>\n
In a world that increasingly relies on available and reliable computing power, data security is one of the top priorities for data centers. NEXAIRA.Systems is an on-premise solution that protects sensitive data. An integrated alarm system sends notifications when critical threshold values are exceeded. Real-time monitoring and energy consumption forecasts further increase transparency and operational reliability. For reporting, an ISO 50.001-compliant reporting is also available,<\/p>\n
With all these functions, NEXAIRA.Systems enables data centers to reduce their energy consumption and electricity costs, minimize capacity risks, and achieve sustainability goals. Thanks to the innovative solution, cooling systems are optimized for maximum efficiency. This ensures that data centers are operated cooler, smarter, and more sustainably.<\/p>\n
Find more information here.<\/a><\/p>\n
<\/p>\n
Frequently Asked Questions<\/h2>\n
\nHow much energy is typically used for cooling in data centers?<\/strong><\/summary>\n
On average, over 30 percent of the energy required in data centers is consumed by cooling.<\/p>\n<\/details>\n
\nWhat impact does the use of AI have on the energy requirements of data centers?<\/strong><\/summary>\n
AI workloads consume significantly more energy than classical data processing and considerably increase the cooling demand. This pushes existing cooling systems to their limits.<\/p>\n<\/details>\n
\nHow does the AI-supported optimization of NEXAIRA.Systems work?<\/strong><\/summary>\n
The solution creates a digital twin of the cooling system and mathematically models all components. This enables precise predictions and optimal control under current environmental conditions.<\/p>\n<\/details>\n
\nWhat energy savings does NEXAIRA.Systems enable?<\/strong><\/summary>\n
The energy consumption for cooling can be reduced by up to 50 percent. At the same time, electricity costs and CO\u2082 emissions are significantly reduced.<\/p>\n<\/details>\n
\nHow does NEXAIRA.Systems help with compliance with legal requirements?<\/strong><\/summary>\n
By reducing the cooling energy consumption, the PUE value is lowered. This allows data centers to comply with the legal requirements from July 2027 in Germany.<\/p>\n<\/details>\n
\nHow do I reduce cooling energy consumption without swapping hardware?<\/strong><\/summary>\n
Through a software-based optimization of the existing system: NEXAIRA.Systems builds a digital twin of the cooling system and controls all components on demand – saving up to 50 percent of cooling energy, without hardware replacement and during ongoing operation.<\/p>\n<\/details>\n
\nHow does AI help cut power consumption in the data center?<\/strong><\/summary>\n
AI continuously analyzes load, temperature and energy data and adjusts cooling output dynamically, so cooling only happens where it is needed. The lever lies in optimizing the overall system rather than the individual component.<\/p>\n<\/details>\n
More in-depth reading<\/h2>\n
- \n
- High Performance, Low Carbon: Future-Proof Data Center Cooling – cloudmagazin<\/a><\/li>\n
- Intelligent Cooling: AI Halves Data Center Energy Use – cloudmagazin<\/a><\/li>\n
- Energy Consumer to Efficiency: Modern Data Center Cooling – cloudmagazin<\/a><\/li>\n<\/ul>\n
More from the MBF Media Network<\/h2>\n
- \n
- Data Center Cooling: Why Intelligent Cooling Is a Security Topic – SecurityToday<\/a><\/li>\n
- Green IT in the Age of AI: Less or More Energy Use – Digital Chiefs<\/a><\/li>\n
- Fujitsu and the Green Transformation in the Mittelstand – MyBusinessFuture<\/a><\/li>\n<\/ul>\n
Source of title image: ebm-papst<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"Intelligent, efficient and reliable. The AI-based cooling energy savings from ebm-papst reduce the energy consumption of data centers.","protected":false},"author":51,"featured_media":26183,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","_evm_slot_owner":"","_evm_translation_lang":"","featured_post":0,"featured_post_sortierung":0,"_wp_old_slug":[],"footnotes":""},"categories":[933],"tags":[711,220,297],"industry":[],"class_list":["post-37491","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-success-stories","tag-energieeffizienz","tag-ki","tag-rechenzentren"],"evm_reading_time_minutes":7,"wpml_language":"en","wpml_translation_of":26179,"acf":[],"yoast_head":"\n
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- Intelligent Cooling: AI Halves Data Center Energy Use – cloudmagazin<\/a><\/li>\n
- High Performance, Low Carbon: Future-Proof Data Center Cooling – cloudmagazin<\/a><\/li>\n