The Role of Automation and AI in EHS Management for Data Centers.pdf
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Energy demand from data centers is projected to double by 2030. But what if automation and AI could safeguard your site while also shrinking your carbon footprint? Swipe through the SlideShare now and get future-ready. #TechEHS #DataCenters #AI #Automation #EHSManagement
The Role of Automation and AI in EHS Management for Data Centers.pdf
- 1. The Role of Automation and AI in EHS Management for Data Centers The Solution to the Alarming Power Consumption of Data Centres TECH EHS SOLUTION ISO 9001:2015, ISO 14001:2015 AND ISO 45001:2018 CERTIFIED COMPANY
- 2. Some Alarming Stats (extracted from various sources) The average hyperscale data center consumes 20-50 megawatts (MW) annually, enough electricity to power up to 37,000 homes. The growth of data center power consumption is outpacing the development of the global economy. In 2023, data centers consumed an estimated 350 terawatt- hours (TWh), representing 2-3% of the world's total electricity use. This consumption is projected to double by 2030, with some scenarios estimating it could reach between 600 and 1,050 TWh! 2
- 3. Why Manual & Traditional Systems Are Failing? Limited Integration with Other Systems They limitedly or cannot coordinate with IT workloads, HVAC systems, or external energy grids. Manual systems wait for faults or inefficiencies to show up. By then, energy has been wasted or systems are at risk. Reactive Instead of Predictive Too Slow for Dynamic Loads Energy demand in data centers fluctuates by the second based on workloads, user access, and server activity. Lack of Real- Time Insight Manual systems rely on periodic checks and static thresholds. 3
- 4. How Will Automation and AI Help? Smart Energy Optimization AI-powered systems analyze power usage patterns in near/real-time and optimize workloads to balance demand across servers. This prevents energy spikes and ensures no equipment is running unnecessarily. Intelligent Cooling Systems These can monitor temperature and humidity continuously, activate cooling only when needed and also adjust fan speeds and airflow dynamically based on thermal load Predictive Maintenance for Energy-Efficient Operations Detect energy-wasting equipment early and schedule maintenance before breakdowns cause inefficiencies. ALso, reduce unplanned downtime, which often leads to power surges or redundancies. Load Balancing & Energy Scheduling AI can schedule high-energy tasks during off-peak grid hours, reducing strain and cost. It can also reroute processing tasks to locations where green energy is more available. Real-time Monitoring & Reporting Continuous tracking data helps decision-makers fine-tune operations and stay within energy KPIs. 4
- 5. The Impact (sourced from relevant sites) Reduce their environmental impact by up to 30%. Have almost 90% positive impact on EHS performance. AI and automation can help data centers to 5
- 6. TECH EHS’s Business Intelligence Tool 6 Predictive Visualizations Data-Driven Cost Reduction Near/ Real-Time Alerts & Safety Flags Integration with Existing Infrastructure Unified Dashboard for Decision-Making
- 7. Real Time Examples 7 Case Studies Click here to read All the case studies. Our solution provided real-time insights and trend analysis to support data-driven decisions across all levels. Read More
- 8. Proudly recognized as the best in the industry! Our High User Ratings on Capterra Speak for Themselves! 8 Why TECH EHS
- 9. CONNECT WITH US TODAY! +91 89800 10420 [email protected] Let’s Build Smarter, Safer Data Centers – Together https://techehs.com/software Any material or information contained in this document represents the proprietary information of TECH EHS Solution The sole purpose is to present the value proposition. This information shall not be disclosed, duplicated or used for any other purpose.