A reliable UPS system with high-quality batteries is crucial for continuous power and protecting data center operations. When evaluating energy storage solutions, industry professionals prioritize safety (69%) and total cost of ownership (64%), with nickel-zinc (NiZn) emerging as a notable battery chemistry.
The study highlights that safety is the top priority for data center backup power, with seven in 10 respondents prioritizing the safety of battery chemistry. Cost is also critical, with lifetime cost and initial CAPEX closely correlated. Nickel-zinc batteries, along with valve-regulated lead acid (VRLA) and lithium iron phosphate (LFP) batteries, ranked highly for both safety and cost considerations.
When asked what they were not getting out of their current battery backup/energy storage technology, respondents listed the following four top priorities in order of mention frequency: long life, reliability, sustainability, and cost reduction.
When discussing AI''s impact on power requirements and energy storage technology, respondents highlighted its influence on several areas: dynamic load management, predictive maintenance, intelligent Battery Management Systems (BMS), advancements in battery technology and power density, sustainability, integration with renewable energy, AI-driven cooling solutions, and energy-efficient algorithms, among others.
A third of respondents (32%) identified as a Senior Manager, Vice President, Director or Department Head while a quarter (24%) said they were project, technology or team. Four in five (79%) said their organization was in North America, with 30% also operating in Europe.
Nearly a quarter (23%) said that their organization''s primary role was a customer of data center services, while 22% were data center providers. Two in five respondent organizations (39%) had more than 1,000 employees across all locations.
More than half of respondent organizations identified as an enterprise data center (55%) and colocation center (52%). Three in ten (30%) said that their data centers use less than 5 megawatts across all campuses, while more than a third (36%) are using more than 100 MW with 23% using over 500 MW.
Respondents were primarily operating between zero to four data centers in each tier. Half of respondents operated between one to four Tier 1 (48%) and Tier 3 (51%) data centers. Three in five (59%) operated between one to four Tier 2 data centers.
Half of all respondent organizations (51%) were using less than 500 kW UPS size while one in ten (11%) were using more than 2 MW as their typical deployment UPS size.
More than a third of respondents (37%) were using valve-regulated lead acid (VLRA) cell batteries for centralized UPS energy storage, followed by lithium-ion manganese oxide (LMO) batteries (26%)
Seven in ten respondents (69%) said that the safety of chemistry was a priority (top priority + high priority) when selecting an energy storage solution. Two in three (64%) respondents said the lifetime cost consideration/total cost of ownership was a priority.
VRLA cell batteries (64%), LFP batteries (63%), LMO batteries (63%) and Nickel-Zinc batteries (62%) were rated the highest on safety (excellent + very good + good) among battery types.
LFP batteries (66%), LMO batteries (66%) and Nickel-Zinc batteries (54%) were rated the highest (excellent + very good + good) among battery types based on footprint.
Energy storage technology limitations (50%), sustainability targets/mandates (44%) and the transition from centralized to distributed UPS or energy storage (41%) were driving the changes respondents considered for their energy storage technology.
Two in five respondents (38%) said that their backup run times were more than 10 minutes, while three quarters (73%) expected their run times to either go up (35%) or not change (38%).
Only a third of respondents (34%) said they completely trust their existing backup system. Of those remaining two-thirds, more than half (57%) felt that the failure point of their existing backup system was human error, followed by the transfer switch (36%) and generator (24%)
Nearly two-thirds of respondents (64%) said that they are assessing the sustainability performance of their supply chain. Two thirds (63%) said that their organization''s sustainability programs have resulted in some cost reductions, with one in five (19%) seeing significant cost reductions. Their sustainability efforts have also resulted in better product choices with 59% seeing significantly better product choices or somewhat better product choices.
Dynamic Load Management: AI can optimize the distribution of workloads across servers, reducing overall power consumption by ensuring that servers operate at optimal efficiency. Predictive Maintenance: AI can predict when components are likely to fail, allowing for timely maintenance that avoids energy wastage from malfunctioning equipment.
Intelligent Battery Management Systems: AI can enhance the performance and lifespan of battery systems by managing charge and discharge cycles more effectively and predicting battery health and replacement needs. Integration with Renewable Energy: AI can manage the integration of renewable energy sources with energy storage systems, optimizing the use of renewable energy and reducing reliance on grid power.
AI-Driven Cooling Solutions: AI can optimize cooling systems in real-time, adjusting temperatures and airflow to minimize power consumption while maintaining optimal operating conditions for servers. Energy-Efficient Algorithms: AI can develop and implement more energy-efficient algorithms for data processing, reducing the overall power requirements of the data center.
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