dc master - data centre world london 2020 · boreas dcm as a high efficient cooling solution for...
TRANSCRIPT
DC MASTER
Boreas DCM As A High Efficient Cooling Solution For Data Centres
• Boreas Klima is established in Istanbul-Turkey as a member of ACIK Holding.
• All the engineers and technicians have many years of experience in the design and manufacture of HVAC products.
BOREAS KLIMA
As our digital addiction increases, the power we consume increases in parallel. By-product of the process is HEAT.This presentation introduces a reliable and energy-efficient method for data centers cooling.
Heat Loads In Data Centre
ADIA-MECHANIC Cooling
Adia-Mechanic Cooling is a highly efficient way of data centres cooling.
Working Principle
• When outdoortemperature is coldenough, outdoor air flow used to cool the indoor air cycle while two air flows do not mix. (Free Cooling)
• On warm days, water spraying to the outdoor air flow, increases cooling effect. (Indirect AdiabaticCooling)
• Mechanical cooling trimsthe supply temperature on hot days.
Adia-Mechanic Cooler
• The unit uses air-to-air heat exchanger fortransferring data center’s heat with theoutdoor air stream.
Indoor Air Cycle
Outdoor Air Stream
Adia-Mechanic Cooler
• The most economical mode of operation is achieved by using Free Cooling, Indirect Evaporative Cooling and Mechanical Cooling alone or together.
Why Adia-Mechanical Cooling Be Preferred
Advanced control
algorithm ensures most
efficient cooling
methode, for reducing
operating cost.
• Free Cooling (DRY)
• Adiabatic Cooling (WET)
• Mechanical Cooling (DX)
• Adiabatic + Mechanical Cooling(WET+DX)
Annual temperature hours(Istanbul as an example) showssavings potential.
Most of the year the unitoperates with free cooling andindirect adiabatic cooling modes.
Operating Modes
DRY
20 ͦC DB *5 ͦC DB 57kJ/kg*
DRY / WET
WET/WET+DX
WET + DX
DRY Free Cooling Only
DRY / WET DRY/WET Cooling, Selected By Cost Control
WET/WET+DX WET/WET+DX Cooling, Selected By Cost Control
WET + DX WET + DX Cooling
* Set değeri 24 ͦC için
• Absolutely NO!• Fan motors consumes
energy while free coolingprocess.
• More air flow required for free cooling when outdoor temperature rises.
• More air flow requires moreenergy consumption.
Is Free Cooling Free As People Think?
DRY
20 ͦC DB *5 ͦC DB 57kJ/kg*
DRY / WET
WET/WET+DX
WET + DX
* Set değeri 24 ͦC için
• pPUE is an indication of theelectrical energy consumption
• Water is another materialconsumed for the cooling
• Operating cost is the sum of electricity and water costs in currency units.
• Operating the unit with costcontrol can be moreeconomical.
pPUE vs Operating Cost
DRY
20 ͦC DB *5 ͦC DB 57kJ/kg*
DRY / WET
WET/WET+DX
WET + DX
* Set değeri 24 ͦC için
N+1 Unit pPUE CalculationWith
ASHRAE London Data
Power
Consump
tion (kW)
Total Energy
Consumption
(kWh)
Water
Evaporation
(l/h)
Total Water
Consumption
(m3)
-9,0 -9,3 0,160396 DRY 13049 44514 11,57 1,9 0,00 0,00
-8,0 -8,0 0,080285 DRY 13346 44514 11,58 0,9 0,00 0,00
-7,0 -7,4 0,680731 DRY 13587 44514 11,60 7,9 0,00 0,00
-6,0 -6,5 1,561365 DRY 13981 44514 11,62 18,1 0,00 0,00
-5,0 -5,5 4,364766 DRY 14322 44514 11,64 50,8 0,00 0,00
-4,0 -4,4 9,251909 DRY 14680 44514 11,66 107,9 0,00 0,00
-3,0 -3,7 17,78341 DRY 15057 44514 11,69 207,9 0,00 0,00
-2,0 -2,6 37,48063 DRY 15453 44514 11,72 439,3 0,00 0,00
-1,0 -1,7 62,22772 DRY 15871 44514 11,76 731,8 0,00 0,00
0,0 -0,8 98,93075 DRY 16312 44514 11,80 1167,4 0,00 0,00
1,0 0,1 160,2784 DRY 16778 44514 11,84 1897,7 0,00 0,00
2,0 1,0 203,8577 DRY 17271 44514 11,89 2423,9 0,00 0,00
3,0 1,9 246,3214 DRY 17795 44514 11,94 2941,1 0,00 0,00
4,0 2,8 294,59 DRY 18351 44514 12,01 3538,0 0,00 0,00
5,0 3,8 351,5816 DRY 18943 44514 12,08 4247,1 0,00 0,00
6,0 4,7 391,352 DRY 19574 44514 12,16 4758,8 0,00 0,00
7,0 5,6 444,1397 DRY 20250 44514 12,25 5440,7 0,00 0,00
8,0 6,5 492,7241 DRY 20973 44514 12,36 6090,1 0,00 0,00
9,0 7,4 538,7675 DRY 21817 44514 12,48 6723,8 0,00 0,00
10,0 8,3 543,3367 DRY 22787 44514 12,63 6862,3 0,00 0,00
11,0 9,2 544,9757 DRY 23864 44514 12,81 6981,1 0,00 0,00
12,0 10,0 532,18 DRY 25066 44514 13,01 6923,7 0,00 0,00
13,0 10,9 517,891 DRY 26423 44514 13,26 6867,2 0,00 0,00
14,0 11,7 482,2759 DRY 27970 44514 13,58 6549,3 0,00 0,00
15,0 12,5 470,8114 DRY 29759 44514 14,02 6600,8 0,00 0,00
16,0 13,2 450,4599 WET 27170 44514 14,21 6401,0 34,18 15,40
17,0 13,8 395,6819 WET 28136 44514 14,42 5705,7 40,95 16,20
18,0 14,2 331,0726 WET 28830 44514 14,59 4830,3 50,49 16,72
19,0 14,7 263,5764 WET 29759 44514 14,82 3906,2 59,40 15,66
20,0 15,0 217,6346 WET 30352 44514 14,98 3260,2 70,99 15,45
21,0 15,5 170,4084 WET 31413 44514 15,27 2602,1 81,06 13,81
22,0 16,0 133,2235 WET 32574 44514 15,62 2081,0 91,87 12,24
23,0 16,5 98,68029 WET 33850 44514 16,03 1581,8 103,54 10,22
24,0 16,8 74,41846 WET 34682 44514 16,26 1210,0 117,74 8,76
25,0 17,2 55,76413 WET 35880 44514 16,74 933,5 132,00 7,36
26,0 17,6 41,7532 WET 37195 44514 17,03 711,1 147,34 6,15
27,0 18,1 28,14617 WET 39037 44514 17,96 505,5 163,77 4,61
28,0 18,4 18,93875 WET 40268 44514 18,48 350,0 182,18 3,45
29,0 18,9 13,01372 WET 42586 44514 19,60 255,1 202,46 2,63
30,0 19,1 9,409966 WET 43620 44514 20,16 189,7 223,53 2,10
31,0 19,6 5,165772 WET + DX 31800 44514 22,36 115,5 170,33 0,88
32,0 19,9 2,482978 WET + DX 32700 44514 22,60 56,1 185,59 0,46
33,0 20,6 1,201784 WET + DX 35400 44514 23,45 28,2 203,96 0,25
34,0 20,7 0,681055 WET + DX 35800 44514 23,58 16,1 220,97 0,15
35,0 20,2 0,440681 WET + DX 33700 44514 22,87 10,1 232,43 0,10
36,0 19,5 0,160264 WET + DX 31600 44514 22,25 3,6 241,93 0,04
37,0 19,0 0,080128 WET + DX 30300 44514 21,90 1,8 252,04 0,02
Outdoor
Temp. (°C)
Wet Bulb
Temp. (°C)
ASHRAE
Annual
hours (h)
PRODUCT FOR 1000KW DATA HALL
Operation
Mode
Outdoor
Airflow
(m3/h)
Cooling
Airflow
(m3/h)
1 Unit Energy Consumtion (kwH) / Year 116.334
1 Unit Water Consumtion (m3) / Year 153
Num. Of Active Units N+1 6
pPUE For 1MW IT Load With 6 Units 1,080
• Roof Top
• Wall Connected
• Dehumidifying
• Humidifying
Alternatives
Dehumidifying AndHumidifying
Processes
• Dehumidification is carried out with the second cooling cycle.
• One main and one spare unit in each hall has the feature of humidification and / or dehumidification.
• Humidification is carried out with a steam humidifier.
Control System
• In House Developed UniqueControl Algorithm Is The MostImportant Compenent Of ThisSystem.
• Algorithm controls the amount of outside air to control the supply temperature without fluctuation and with loweroperational costs.
• Without PID, the unit can calculate how much air flow should be for achiving the set supply temperature.
• This allows him to quickly reach the target and stay at a constant temperature.
ΔHCOOLING , TSET , Teamwork Parameters
VRIABLE
Cooling Load Determines
Cooling Air Flow
OUTCOME
ΔHCOOLING , TSET , HODA., Teamwork
Parameters
Air Flow CalculationODA Flow
TSET , HODA., TeamworkParameters
CF AnalysisRunning Mode
Control System
• Teamwork; All unitsbelonging to a hall are associated with the «Ring Topology».
• There is no way to loosecommunication in theteamwork.
Machine Learning For Prediction And
Control
• The temperature distribution may not be homogeneous in the data room.
• By knowing the effect of each unit in the hall and controlling them accordingly, homogeneous temperature distribution can be achieved.
• Doing this with machine learning has been brought to the trial phase.
• The laboratory is located in the Boreas production facility in Istanbul on an area of 300m2
• Test System Components:• AHU Simulating Outdoor
Conditions
• AHU Simulating Data HallConditios
• Chiller
• Boilers
• Scada System
Laboratory For FAT
• The system can carry out the cooling capacity test up to 400 kW.
• In summer or winter season;• + 15 C / + 40 C,
• 70% / 30% RH
Conditions can be created
• Return temperature of + 32C / + 40C can be provided to create DC conditions.
Laboratory For FAT
Laboratory For FAT
• During the tests, variables such as temperature, humidity, air velocity, pressure, current, voltage and electrical power are measured from 41 points on the unit.
Laboratory For FAT
• The test operation can be monitored on a large screen and a report can be printedout.
• The trend lines can be monitored for each parameter and the data recorded with a period of 10 s can be accessed at any time.
THANK YOU