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© 2014 Eaton. All rights reserved. Le Data Center Agile Fabrice Roudet Ph.D; Innovation Programs Manager, Eaton April 10, 2014 Need some Turkey specific.

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Presentation on theme: "© 2014 Eaton. All rights reserved. Le Data Center Agile Fabrice Roudet Ph.D; Innovation Programs Manager, Eaton April 10, 2014 Need some Turkey specific."— Presentation transcript:

1 © 2014 Eaton. All rights reserved. Le Data Center Agile Fabrice Roudet Ph.D; Innovation Programs Manager, Eaton April 10, 2014 Need some Turkey specific images

2 2 © 2014 Eaton. All rights reserved. Powering businesses worldwide for more than 100 years Founded in 1911 by J.O. Eaton Chairman & CEO – Alexander M. Cutler Headquarters: Dublin, Ireland Key locations in Cleveland, Ohio; Shanghai, China; Morges, Switzerland; Sao Paulo, Brazil Innovation Centers in regions around the world Customers in more than 175 countries 2013 sales of $22 billion 50% of sales outside the U.S. Approximately 102,000 employees

3 3 © 2014 Eaton. All rights reserved. Eaton is a power management company Uniquely positioned to provide safe, reliable, efficient and sustainable power management solutions for our global customers ElectricalFluidMechanical Cities & Buildings Industrial & Machinery Information Technology Energy & Utilities TransportationInfrastructure

4 4 © 2014 Eaton. All rights reserved. Eaton’s businesses Industrial Sector $8.6 B Sales Vehicle Hydraulics Aerospace Electrical Sector $13.4 B Sales Electrical Products Electrical Systems & Services

5 5 © 2014 Eaton. All rights reserved.

6 6 Agile? IT criticality raise Technology changes Energy costs and regulatory compliance will continue to place organizations at risk Increasing Energy Costs Sustainability Regulations

7 7 © 2014 Eaton. All rights reserved. Availability Remains At The Top Uptime and quest for five 9’s remain a key focus for data center managers When selecting UPS’s for data centers, double-conversion has been the reference to achieve highest level of reliability 1. Power Failure 3. Power Surge 2. Power Sag 4. Undervoltage 5. Overvoltage 7. Line Noise 6. Switching Transient 8. Frequency Variation 9. Harmonic Distortion 3 5 9 3-5-9 concept 3  Off-Line 5  Line Interactive 9  On-Line Double Conversion

8 8 © 2014 Eaton. All rights reserved. Addressing Reliability vs. Efficiency Paradigm The key challenge for Data Center managers How to achieve higher efficiencies without compromising reliability Historical trade-off Double-conversion: maximum level of protection at a cost Other legacy modes: compromise on reliability The solution = two new game-changing UPS technologies Variable Module Management System (VMMS) Maximized efficiency in double conversion mode Both in single- and multi-UPS systems applications Energy Saver System (ESS) The ultimate savings: 99% efficiency Automatic fast transfer to double conversion mode when needed (in less than 2 ms) Higher System Efficiency No Compromise On Reliability

9 © 2014 Eaton. All rights reserved. Variable Module Management System (VMMS)

10 10 © 2014 Eaton. All rights reserved. Variable Module Management System In double conversion mode, the efficiency of any UPS varies depending on the % of load Highest efficiency when close to full capacity UPS systems rarely loaded at full capacity This is the fact in redundant systems as used in most data centers  How to maximize efficiency potential of UPS systems with lighter loads FACTSFACTS CHALLENGECHALLENGE

11 11 © 2014 Eaton. All rights reserved. Variable Module Management System How to maximize efficiency with lighter loads in double conversion mode Especially in multi-UPS and redundant system configurations Solution #1 (basic) Concentrate load on certain UPS’s to maximize UPS load level and overall system efficiency Some energy savings Limited to multiple-UPS systems (with several UPS in parallel) Still not optimal Solution #2 (more advanced & efficient) Automatically optimize efficiency at UPM level  VMMS Concentrate the load on certain UPM’s to maximize overall system efficiency Only possible on modular UPS’s Not limited to multiple-UPS systems Achieve even higher optimization thanks to UPM’s modularity

12 12 © 2014 Eaton. All rights reserved. VMMS Principle Example With Same Load Applied To Different Multi-UPS Configurations Variable Module Management System UPS1 UPS2UPS3 UPS / UPM load % 0% 100% Case 1 System without any multi-UPS efficiency optimization UPS1 UPS2UPS3 UPM2UPM3 Case 3 System with modular UPS with VMMS capability 0% 100% UPM1UPM2UPM3 UPM1UPM2UPM3 UPM1 System efficiency automatically optimized according to load level UPS1 UPS2UPS3 Case 2 System with some multi-UPS management 0% 100% UPS / UPM in idle mode

13 13 © 2014 Eaton. All rights reserved. Variable Module Management System VMMS Principle Maximizes % load of each UPM Optimizing overall system efficiency % load of each active UPM in Case3 when using VMMS System Efficiency gain thanks modular UPS design with VMMS capability % load of each UPM in Case1 when using Eaton 9395 UPS without VMMS 80% 90% 100% 20%40%60%80%100%

14 14 © 2014 Eaton. All rights reserved. Variable Module Management System VMMS Benefits Maximized efficiency in double conversion mode  higher efficiency Typical applications where VMMS is particularly efficient Redundant N+1 and 2N systems UPS’s Lightly loaded: typically operate at loads < 45% load level where efficiency is not optimal Data Centers, especially when UPS system feeds dual corded servers Any applications when load is not constant

15 © 2014 Eaton. All rights reserved. Energy Saver System (ESS)

16 16 © 2014 Eaton. All rights reserved. Energy Saver System Energy Saver System Principle Until recently, upper limit for UPS energy efficiency in double-conversion ~96% In developed countries, utility power is within industry specifications most of the time Complete power conditioning is needed only rarely Yet traditional double conversion UPS’s continuously process utility power, converting it from AC to DC and back to AC again Dissipating heat and wasting power at every stage. Energy Saver System technology delivers 99% efficiency by intelligently adapting to utility power conditions and operating in energy-saving mode most of the time Offering double-conversion protection when your load needs it As quickly as it needs it

17 17 © 2014 Eaton. All rights reserved. + 10% 53Hz47Hz -10% +10% 45Hz -15…-30% 55Hz Input Power Quality within load tolerance Active Modules Input Power Quality within rectifier tolerance Input Power Quality out of rectifier tolerance Energy Saver System at nominal voltage 400V/50Hz Energy Saver System engages modules according to input power  Superior detection and transition technology

18 18 © 2014 Eaton. All rights reserved. Energy Saver System Latest innovation in the area of UPS Providing the highest reliability with the highest efficiency UPS power converter stages adapt operation to provide optimum load availability and energy efficiency With advanced DSP (Digital Signal Processing) controls, power conversion stages are “shifted into gear” only when needed What ESS does  Maximizes efficiency when the input is within the acceptable voltage and frequency window 99% efficiency over wide load range - above 20% load  Maximizes performance when the input is outside the window Full voltage and frequency independency available in just 2ms UPS seamlessly transitions through different operating modes as needed only possible with transformer-free topologies

19 19 © 2014 Eaton. All rights reserved. Energy Saver System ESS Efficiency – 99% across the complete operating range 85% reduction in losses compared to legacy transformer-based UPS Continuous power tracking and proprietary DSP algorithms combined with transformer free design topology ensures critical loads are always protected 80% 90% 100% 20%40%60%80%100% System efficiency % load Typical Operations Double-conversion efficiency of leading UPS’s 99% efficiency even at lower load levels thanks to ESS

20 20 © 2014 Eaton. All rights reserved. Energy Saver System ESS Response Example – 100% Outage

21 21 © 2014 Eaton. All rights reserved. Energy Saver System Some form of multi-mode capability has been available on UPS’s for years However, conventional multi-mode UPS’s have their limitations Trade-off between reliability and efficiency What differentiates ESS from traditional “ECO-Mode” Conventional ECO-mode is accomplished in one of two ways Power the load with Bypass Utility and wait for the UPS to start, sync, and transfer to double conversion mode when disturbances occur  Long transition times to inverter Operate in line interactive mode with the inverter running for faster transitions to double conversion mode  Increased power losses resulting in reduced efficiency ESS solves both issues It provides best possible efficiency, and instantaneous transfer to double conversion when needed

22 22 © 2014 Eaton. All rights reserved. The bottom line ESS drives the UPS losses close to zero The energy savings from ESS typically recovers 100% of the UPS cost over a 3 - 5 year period At 250kW of critical load, the savings is equivalent to 3 600 € per year per point of efficiency gain Calculation is based on 60% DCiE and CO2 emissions at 400g/kWh medium European level Energy Saver System

23 Introducing the GreenDataNet Project Data Centers in Smart Cities

24 FP7 ICT-2013.6.2 Data Centre Project GreenDataNet Call for projects “Development of system level technologies and associated services that improve the energy and environmental performance of urban data centers” »SW/HW system level technologies/services for energy monitoring and optimization »Integration of networks of renewable energy sources »Efficient heat reuse at urban neighborhood level »Integration of data centers with smart grid schemes »Standardization of energy measurement/environmental footprint »Validation in real settings/use cases

25 Trend #1 Demand for IT services is increasing faster than the capacity of technology to absorb it at constant power usage

26 10% of all the world’s electricity is used by IT Source: Digital Power Group report "The Cloud Begins With Coal – Big Data, Big Networks, Big Infrastructure, and Big Power" IT now uses more energy than air transport

27 Brontobytes of data and mobile demand are currently running faster than technology Smart mobile devicesThe Internet of Things Source: IDC Digital Universe 2013 Source: nojitter.com A data explosion Source: Cisco, VNI Mobile Forecast, 2013

28 Trend #2 Modern data centers are increasingly energy proportional

29 Modern IT and modern facility designs are more proportional IT Large hardware clusters under Hypervisors and Cloud orchestrators bring: Better utilization rate Less resources waste Elasticity and immediate response to demand IT Hardware active power management technology is increasingly available Facility Critical power chains are better at scaling up and down automatically: Modular designs, idle capacity switch-off Less redundancy for the same resilience level Use of “free cooling” and advanced cooling techniques

30 Data centers used to provide a constant base load for power stations – now this load is increasingly volatile as their energy consumption becomes more proportional to the IT services actually consumed Consequences for utilities

31 Trend #3 The sustained increase in the proportion of renewables and grid priority rules are making power generation more volatile

32 Renewables intermittency is changing the face of the electrical power market Renewables production gyrates wildly…while traditional generation suffers

33 The opportunity Turning a complex challenge into a significant opportunity for optimization

34

35 Development of energy proportional data centers through optimization of IT loads and cooling Development of greener data centers through use of local renewable energies Use of new battery technologies from the automotive market to store energy and help mitigate power generation and usage imbalance How to mitigate the combined impact of three positive developments?

36 Today the data center is a black box?

37 Project Proposal: Monitoring and optimization from rack to grid

38 The solution will combine hardware and software to optimize energy usage

39 Working to reduce the environmental impact of the data explosion Aggregate data from multiple data centers and from available power generation in a smart grid Predict IT load and renewable power using advanced algorithms Optimize the distribution of the IT load by moving virtual machines according to Power density by rack and outside temperature and humidity Power grid / renewables availability and cost Local energy storage level Design and validate new smart energy management tools for urban data centers Develop a smart energy management buffer that will result in less carbon-based energy sources

40 WWW.GreenDataNet-project.eu Fabrice Roudet FabriceRoudet@eaton.com Contact

41 41 © 2014 Eaton. All rights reserved. Any questions?

42 42 © 2014 Eaton. All rights reserved.

43 VMMS voie B DataCenter ESS Rendement 99% ESS voie A 50% de la charge VMMS Rendement 96% Exemple d’application (ESS+VMMS) Rendement Global = 97.5%


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