DC MASTER Boreas DCM As A High Efficient Cooling Solution For Data - PowerPoint PPT Presentation

DC MASTER Boreas DCM As A High Efficient Cooling Solution For Data Centres

BOREAS KLIMA • 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.

Heat Loads In Data Centre 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.

ADIA-MECHANIC Cooling Adia-Mechanic Cooling is a highly efficient way of data centres cooling.

Working Principle • When outdoor temperature is cold enough, 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 Adiabatic Cooling) • Mechanical cooling trims the supply temperature on hot days.

Adia-Mechanic Cooler Outdoor Air Stream • The unit uses air-to-air heat exchanger for transferring data center’s heat with the outdoor air stream. Indoor Air Cycle

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.

Operating Modes Free Cooling Only DRY DRY/WET Cooling, Selected By Cost Control DRY / WET • Free Cooling (DRY) • Adiabatic Cooling (WET) WET/WET+DX WET/WET+DX Cooling, Selected By Cost Control • Mechanical Cooling (DX) • Adiabatic + Mechanical Cooling (WET+DX) WET + DX Cooling WET + DX WET + DX WET/ Annual temperature hours WET+DX DRY / (Istanbul as an example) shows WET savings potential. DRY Most of the year the unit 57kJ/kg * 5 ͦC DB 20 ͦC DB * operates with free cooling and indirect adiabatic cooling modes. * Set değeri 24 ͦC için

Is Free Cooling Free As People Think? • Absolutely NO! • Fan motors consumes energy while free cooling process. • More air flow required for WET + DX free cooling when outdoor WET/ temperature rises. WET+DX DRY / • More air flow requires more WET energy consumption. DRY 57kJ/kg * 5 ͦC DB 20 ͦC DB * * Set değeri 24 ͦC için

pPUE vs Operating Cost • pPUE is an indication of the electrical energy consumption • Water is another material consumed for the cooling • Operating cost is the sum of WET + DX electricity and water costs in WET/ currency units. WET+DX • Operating the unit with cost DRY / WET control can be more DRY economical. 57kJ/kg * 5 ͦC DB 20 ͦC DB * * Set değeri 24 ͦC için

PRODUCT FOR 1000KW DATA HALL ASHRAE Outdoor Cooling Outdoor Wet Bulb Operation Power Total Energy Water Total Water Annual Airflow Airflow Temp. (°C) Temp. (°C) Mode Consump Consumption Evaporation Consumption hours (h) (m3/h) (m3/h) tion (kW) (kWh) (l/h) (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 N+1 Unit pPUE Calculation 11,60 7,9 0,00 0,00 -7,0 -7,4 0,680731 DRY 13587 44514 -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 With -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 ASHRAE London Data -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 11,84 1897,7 0,00 0,00 1,0 0,1 160,2784 DRY 16778 44514 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 12,48 6723,8 0,00 0,00 9,0 7,4 538,7675 DRY 21817 44514 10,0 8,3 543,3367 DRY 22787 44514 12,63 6862,3 0,00 0,00 1 Unit Energy Consumtion (kwH) / Year 116.334 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 1 Unit Water Consumtion (m3) / Year 153 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 Num. Of Active Units N+1 6 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 pPUE For 1MW IT Load With 6 Units 1,080 14,42 5705,7 40,95 16,20 17,0 13,8 395,6819 WET 28136 44514 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 16,74 933,5 132,00 7,36 25,0 17,2 55,76413 WET 35880 44514 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 23,45 28,2 203,96 0,25 33,0 20,6 1,201784 WET + DX 35400 44514 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

Alternatives • Roof Top • Wall Connected • Dehumidifying • Humidifying

Dehumidifying And Humidifying 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 Unique Control Algorithm Is The Most Important Compenent Of This System. • Algorithm controls the amount VRIABLE OUTCOME of outside air to control the supply temperature without CF Analysis T SET , H ODA. , Teamwork fluctuation and with lower Running Mode Parameters operational costs. • Without PID, the unit can CoolingLoad Determines ΔH COOLING , T SET , calculate how much air flow Cooling Air Flow Teamwork Parameters should be for achiving the set supply temperature. Δ H COOLING , T SET , • This allows him to quickly reach Air Flow Calculation ODA Flow H ODA. , Teamwork the target and stay at a constant Parameters temperature.

Control System • Teamwork; All units belonging to a hall are associated with the «Ring Topology». • There is no way to loose communication in the teamwork.

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.

Laboratory For FAT • 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 Hall Conditios • 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 • 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 printed out. • 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.

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