The road to efficient data center cooling as the factor of your business success 16. Data Center & Business World Congress Prague, 26.05.2016 Bartosz Biernacki Thermal Management Sales Director Emerson Network Power
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Are you sure it is performance description? PUE = Total Data Center Load (IT+infrastructure) Total IT Load PUE Power Usage Effectiveness
The energy demand for the Data Center and determination of the individual components of the balance sheet PUE factor is a parameter that specifies the energy efficiency of data centers. PUE is expressed as a ratio of the total power required to operate the data center to the power necessary for the needs of IT (servers). The value of PUE should strive to be equal to 1. The average coefficient of PUE for data centers currently range from 1.4 to 2.3.
A simplified model of the balance of energy demand for the Data Center Simplifying the scheme of energy consumption, by assigning a less important component for the balance sheet (such as UPS, lighting), we get called Mechanical PUE factor. Our goal is to minimize the need for air-conditioning component (37%).
The inlet temperature of servers in accordance to airflow through the servers Case 1 - Temp of inlet air increases : - od 15 do 25 C - Servers airflow increases: - od 5 do 35% Data collected by ASHRAE for different server vendors, covering a wide range of products Case 2 - Temp of inlet air increases: - od 15 do 35 C - Servers airflow increases: - od 20 do 150%
The inlet temperature of servers in accordance to power consumption of the servers Case 1 - Temp of inlet air increases: - od 15 do 25 C - Servers energy consumption increases: - od 2 do 3% Case 2 - Temp of inlet air increases: - od 15 do 35 C - Servers energy consumption increases: - od 7 20 % Data collected by ASHRAE for different server vendors, covering a wide range of products
Are you sure it is performance description? PUE = Total Load IT Load Cold aisle temperature increase Server`s fans run faster Denominator PUE Increases PUE decreases Total energy consumption increases
Data Center efficiency Data Center (DC) Efficiency DC computing capacity improvement Reduction of Energy consumption We can improve the performance of the DC in two ways: - Improve the capacity of DC computing capacity - Reducing DC total energy consumption
Day before yesterday: DX systems with open aisle architecture Założenia: 22 C - 50% - air parameters System includes 7 units (6+1) N+1 redundancy
Yesterday (early morning): Freecooling systems with open aisle architecture Legacy Liebert Systems 22 C - 50% RH room air parameters MEG35%, 7 C / 12 C chilled water regime Liebert PCW plus Liebert HPC
Yesterday (around noon): Freecooling systems with open aisle architecture and air economizers Liebert Eco Air 24 C, 50% RH room air parameters MEG35%, 10 C / 15 C water regime Liebert PCW + ekonomizer, Liebert HPC Major difference: Free cooling option is implemented on a fresh air only with suitable parameters of external air (temp. and humidity)
Direct Freecooling and humidity control Applications for cooling the data center require continuous and effective control of the parameters of temperature and humidity All year round free cooling can be the solution inflexible because of the variable moisture content at temperature peaks Major difference: Liebert Economizer allows free cooling using fresh air only during the occurrence of favorable conditions on the outside (with proper temp and humidity)
Yesterday (evening): Freecooling systems with dynamic water regime Liebert Eco Water 24 C, 50% RH room air temperature MEG35%, 10 C / 15 C Liebert PCW plus Freecooling chiller Liebert HPC + Liebert Supersaver Be The Critical Difference: Super Saver solution allows to further increase system efficiency thus reducing PUE of the Data Center
Is it possible to build a system even more energy-efficient?
Air circulation in the traditional data center 10-15 C
First step: Cold (or hot) aisle containment 20-26 C
Cold aisle containment
Why the separation of cold aisle is not enough? o Not enough air for servers o The risk of infiltration of warm air to the cold aisle o Increasing the air flow servers and increasing energy consumption Control CRAC Unit o Exposure for fans failures o Poor performance o Limitation of fans lifetime
SmartAisle - control logic Maximum 3 sensors that monitor temperature and humidity in the cold aisle The sensors are placed in a specially calibrated space Value of temp & humidity are averaged based on the number of sensors installed in the system Rack Rack Liebert HPM for Smart Aisle
Heat load depends on it equipment Standard servers 25 C T 7K 32 C 470 m³/h per kw Pizza-box servers 25 C 40 C 220 m³/h per kw T 15K Blade servers 25 C 50 C 130 m³/h per kw T 25K
SmartAisle - control logic Patented solution
Today: Liebert Smart Aisle with high water regime Liebert SmartAisle 22 C, 50%RH cold aisle air parameters 20 C / 26 C water regime Liebert PCW z SmartAisle oraz Freecooling chiller Liebert HPC PUE(m) 1,11 with constant water regime PUE(m) 1,07 with variable water regime (Liebert Supersaver) Major difference: Top performance is achieved thanks to a dedicated solution based on chilled water with a high parameter and logic control SmartAisle
Data Center today and tomorrow
Data Center today and tomorrow The best way to predict the future is Creating IT Road to PUE(m) 1,04
Liebert PDX: DX renaissance
Liebert PDX: DX renaissance
Liebert PDX: DX renaissance
Liebert PDX: DX renaissance
Liebert PDX: DX renaissance
Liebert PDX: DX renaissance NSEER do 4,08 Cooling capacity up to 120kW (2550mm frame) 100m standard equivalent DX piping length Micro channel condenser with icom board Optimal TCO vs. standard water systems PUE(m) 1,16 with Smart Aisle (Cold aisle air conditions 22 C, 50%RH) PUE(m) 1,11 with air-economizer
Liebert EFC: Evaporative cooling 100-300kW unit icom Control BMS Communication Liebert EC Fan 2.0 New generation of EC fans Higher efficiency, Lower noise level High efficiency aluminum air2air heat exchanger with Eurovent certificate Evaporative cooling Water treatment unit High pressure nozzles
Evaporative Cooling: how it works? (Chillerless/compressorless) PUE(m) 1,04
Liebert EFC: work modes Winter Summer Extremes
Liebert EFC typical configuration Side installation Server rooms newly built with the available space around the object Data centers in warehouse locations Roof installation The locations of devices enabling the foundation to the roof and city centers
The future is just tomorrow. Go to this way with reliable partner
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