Improving Data Centers Energy Reliability & Efficiency. December 2015

Transcription

1 Improving Data Centers Energy Reliability & Efficiency December 2015

2 Background The challenges Alternative solutions SATEC approach Advantages Cases Summary

3 Data Centers Energy Challenges Worldwide Data is set to grow 10-fold by 2020 from 4.4 zettabytes to 44ZB (IDC) Increased demand for On-line Clouding services Data center energy consumption per m² is times higher compared with typical office Expected increase in Power consumption 70% While Worldwide demand for cleaner power generation solutions Reducing power consumptions by increasing efficiency (PUE)

4 Type of data centers Corporate: In-House Data Center Collocation: Hardware (servers), belong to customer Facility and internal systems maintenance by provider Managed/Hosting ( cloud ): Hardware may be owned by the customer or the provider Hardware can be separated (at rack/ server levels) or shared Provider operates storage, engineering, security, electricity etc. Increase in outsourcing services

5 Data centers Reliability & Availability Increased outsourcing services Tier 4 Most Common Tier 3 Tier 2 Tier 1 Enterprise Corporation % Uptime 23.3 Minutes Downtime (Y) 2N+1 Fully redundant 96 Hour Power Outage protection Large Businesses % Uptime 1.6 Hours Downtime (Y) N+1 Fully redundant 72 Hour Power Outage protection Medium-size Businesses % Uptime 22 Hours Downtime (Y) Partial redundancy in Power and Cooling Small Businesses % Uptime 28.8 Hours Downtime (Y) No Redundancy

6 Data Center Common Metrics Average PUE (down from 1.89 in 2011) uptime institute

7 Data Centers Energy Challenges Worldwide Data is set to grow 10-fold by 2020 from 4.4 zettabytes to 44ZB (IDC) Density Efficiency (PUE) Reliability Reducing investments Energy ~ 30% of Data Center OPEX

8 Improving DC Reliability and Efficiency Improving Reliability Load Measurement and notifications down to rack level Power Quality Measurements and alerts, at critical locations what if testing procedures for measurement of loading in case of failures Improving Efficiency Measurement down to servers racks for accurate PUE segmentation Measurement and Control of HVAC systme including temperature and humidity levels

9 Existing solutions limitation Limited energy information energy metering at MCCBs only Price of Smart PDU prevents wide deployment Lack of power quality monitoring

10 SATEC suggested approach Balancing between expensive Smart PDU and lack of information of board measurement level only EM720 High performance revenue meter + PQ & Transient Generators ~ ~ Main Input Backup ATS PM180 High performance analyzer (PQ) HVAC UPS UPS UPS [N+1] UPS Switch Gear Distribution Boards BFM II Energy + Rev. meter

11 Benefits Real time PDU level load monitoring for loading and PUE segmentation High Accuracy energy monitoring (utility check-meter, collocutors billing, losses) Cost effectiveness Power Quality analysis Leakage current alerts HVAC optimization based on actual data at rack level What-if analysis

12 Distribution Switchboard Metering Scheme Up to 200m Temperature & humidity (Analog Inputs) Up to 54 channels (27 racks) Split/Solid Core High Accuracy Current Sensor

13 Price comparison (CAPEX) PDU s PDU Type Av. Unit price Av Rack price (A-B) Delta (from standard PDU) Regular PDU Metered PDU 700 1,400 1,000 Smart PDU 1,100 2,200 1,800 Regular PDU + BFM * * BFM unit price based on 54 channel BFM II

14 Error of Measurement (example) 2 2 U ( x + y + z) = U ( x) + U ( y) + U 2 ( z) Meter PDU SATEC BFM Error for single metering point 2% 0.5% The mean square error of measurement for 1 rack (2 metering points) The mean square error of measurement for 1 cage (60 metering points = 30 racks) Total Power Reading Error 5kW 30 racks 40% loading %error Billing error (one cage, one year, US$ 0.15/kWh): 2.8% 0.7% 15.5% 3.87% ±9.3kW ±2.3kW US$ 12,220 US$ 3,022 Delta charging per cage US$ 9,198

15 Leakage current control

16 Leakage current control In advance info to prevent shutdown and downtime

17 Transient Harmonics Standard 6 pulse (2 pulse for 1~) rectifiers (UPS, server PS) cause harmonics. Modern AFE rectifiers reduce harmonics, but increase transients Transient frequency are high and can pass-through UPS system clean network is not 100% clean High end Power Quality systems upstream and downstream of UPS allow measurement of PQ With advanced thresholds and logs, prevention action can be conducted and save $$$

18 Downtime DC in Russia lost 20% of servers Finding Automatic operation of servers at specific time (acceleration of computing power) lead to over loading of transformation currents Solution constant measurement of racks levels + logs + thresholds could provide in-advance notification and save $$$ Down time (reliability)

19 PQ and Safety Issue Investments for new DC = USD/m2 DC (1500 m2)= 3-5M$ PQ+ Fault Recorder+ High Accuracy Billing Meter= 3000 USD Complete System for Power Quality Control needs 10-12k$ Investments 4-5 measured points

20 Benefits Real time PDU level load monitoring for loading and PUE segmentation High Accuracy energy monitoring (billing, losses) Cost effectiveness Power Quality analysis Leakage current alerts HVAC optimization based on actual data at rack level What-if analysis