Improving Data Centers’ Energy Reliability & Efficiency

December 2015

Background The challenges Alternative solutions SATEC approach Advantages Cases Summary

Data Centers Energy Challenges

Increased demand for On-line Clouding services Data center energy consumption per m² is ×15-20 times higher

compared with typical office Expected increase in Power consumption

While Worldwide demand for cleaner power generation solutions Reducing power consumptions by increasing efficiency (PUE)

70%

“Worldwide Data is set to grow 10-fold by 2020 from 4.4 zettabytes to 44ZB” (IDC)

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

Tier 4

Most Common

Tier 3

Tier 2

Tier 1

Data centers Reliability & Availability Increased outsourcing services

Enterprise Corporation 99.995% Uptime 23.3 Minutes Downtime (Y) 2N+1 Fully redundant 96 Hour Power Outage protection

Large Businesses 99.982% Uptime 1.6 Hours Downtime (Y) N+1 Fully redundant 72 Hour Power Outage protection

Medium-size Businesses 99.749% Uptime 22 Hours Downtime (Y) Partial redundancy in Power and Cooling

Small Businesses 99.671% Uptime 28.8 Hours Downtime (Y) No Redundancy

Data Center – Common Metrics

Average PUE 2014 1.7 (down from 1.89 in 2011) “ uptime institute”

Data Centers Energy Challenges “Worldwide Data is set to grow 10-fold by 2020 from 4.4 zettabytes to 44ZB” (IDC)

Reliability Reducing investments

Density Efficiency (PUE)

Energy ~ 30% of Data Center OPEX

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

Improving DC Reliability and Efficiency

Limited energy information – energy metering at MCCBs only

Price of Smart PDU prevents wide deployment Lack of power quality monitoring

Existing solutions limitation

SATEC suggested approach Balancing between expensive Smart PDU and lack of information of board measurement level only

EM720 High performance

revenue meter + PQ & Transient

PM180 High performance

analyzer (PQ)

BFM II Energy + Rev. meter

Main Input Backup

ATS

UPS UPS UPS HVAC

Distribution Boards

UPS Switch Gear

~ ~

[N+1]

Generators

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

Benefits

Distribution Switchboard Metering Scheme

Up to 200m

Temperature & humidity (Analog Inputs)

Up to 54 channels (27 racks)

Split/Solid Core High Accuracy Current Sensor

PDU’s

* BFM unit price based on 54 channel BFM II

Price comparison (CAPEX)

PDU Type Av. Unit price

Av Rack price (A-B)

Delta (from standard PDU)

Regular PDU 200 400 -

Metered PDU 700 1,400 1,000

Smart PDU 1,100 2,200 1,800

Regular PDU + BFM 200+150* 700 300

Error of Measurement (example)

Meter PDU SATEC BFM

Error for single metering point 2% 0.5%

The mean square error of measurement for 1 rack (2 metering points)

2.8% 0.7%

The mean square error of measurement for 1 cage (60 metering points = 30 racks)

15.5% 3.87%

Total Power Reading Error 5kW×30 racks×40% loading×%error ±9.3kW ±2.3kW

Billing error (one cage, one year, US$ 0.15/kWh): US$ 12,220 US$ 3,022

Delta charging per cage US$ 9,198

)()()()( 222 zUyUxUzyxU ++=++

Leakage current control

In advance info – to prevent shutdown and downtime

Leakage current control

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 $$$

Transient Harmonics

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)

PQ and Safety Issue

Investments for new DC =3000-5000 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

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

Benefits