MEASURE MONITOR UNDERSTAND

Transcription

1 MEASURE MONITOR UNDERSTAND Presented by Alistair Hunt Energy Monitoring, Measurement metrics Where and What 1

2 History & Background Company Timeline 18 Years Comrac & Sinetica founded 15 Years Raritan Integration Partner 11 Years First generic SNMP Adaptor 7 Years Hawk-i Platform 7 Years Rack Level Power Monitoring 6 Years First rack Deployment at BP 4 Years Second Generation Products 4 Years Partner Programme 3 Years Unite Technologies Formed 3 Years Carbon Trust Listing 2 Year Third Generation Products 1 Year SEI ACA Accreditation 2

3 History & Background Client Base Finance Blue Chip Universities Local Govt. Blue Light 3

4 Original Energy Usage Case study Annual energy usage of 1.4 MWHrs, 1,260,000 Annual CO2 consumption 7,500 Tonnes/Yr Original PUE calculated at 2.5 No of racks 273, Ave KVA /rack = 2.34KVA Energy Savings opportunity qualified against a PUE target of 1.8

5 Energy savings no Change in IT Load 5

6 Observations Observations and recommendations Supporting services Cooling in areas with little IT pay load in Data hall Condenser cooling water temperature at 12degrees, [8 degrees ambient air temperature] Condenser suction and Head end pressure setting sub optimal Recommendations Optimise Under floor air movement to data racks, seal off un-used areas Raise Condenser cooling water temperature to 14 degrees Celsius [10 degrees Celsius ambient air temperature], more free cooling hours Optimise BMS settings Small refrigeration systems were used with lower efficiency centralised refrigeration systems are more efficient at high load, better condenser performance, efficient compressors, better expansion valves and large evaporators better part load performance due to shared condensing and evaporating surface floating head pressures/suction pressures variable speed compressor control better level of free cooling by sharing available heat exchanger surface

7 Observations Observations and recommendations Data Hall Recommendations Cooling in areas with little IT pay load Data Hall Optimise CRAC use Optimise air flow to data racks and under floor, seal off un-used areas Increase to ASHRAE recommendations, note 23 Cold Aisle temperatures measured at 19 degrees degrees Celsius is the top limit due to server fans Celsius being continuously on Increase Free Air Cooling Cold Aisle ventilated tiles less than 50 % Rack Hotspots Cold Aisle and Hot Air mixing Deploy 80% efficient Ventilation Tiles Rack level Temperature Monitoring. Optimise air flow within the racks and under floor, high Pay load operations Deploy Cold Aisle Containment install Blanking plates and Floor grommets to improve CRAC operational efficiency,, switch off 3 out of 9 CRAC Units Oversized, utilised below optimum efficiency UPS Identify and remove, Virtulisation Non operational IT Equipment powered up

8 Energy Management Solutions [no change in IT load] 8

9 Energy Management Solutions [with a 5% reduction in IT Load] 9

10 WHERE THE SAVINGS COME FROM Source PUE 2.5 Recorded Energy spend PUE 1.8 Energy spend Saving PUE 1.8 Energy spend With 5% IT saving IT Pay load 504, , ,000 Refrigeration 529, , , ,000 UPS Losses 57,200 42,000 15,200 42,000 Lighting 32,000 18,000 14,000 18,000 AHU s 84,800 56,000 48,800 51,000 Other 52,000 40,000 12,000 40,000 1,260, , , ,000 70% savings in Chillers 1 degree Celsius = 3-4% Energy costs Maximise Free cooling Saving of 28% Total Energy spend 46% Total Facilities spend 10

11 5% in IT Energy savings Switching off unused servers consolidation of applications where possible implementation of VM technology 5%,[ 28,000] savings can be achieved by turning off Servers. eg HP Proliant 585 G5 Server Max power is 1300W, running power consumption is 650W this equates to an 5694KWh Annually. At 0.09 a KW, Annual cost of To make these savings, would mean switching off 55 servers. 11

12 Capital Expenditure costs Activity Related costs Comments Deployment of power and environmental monitoring hardware including sensors Airflow management and miscellaneous items 163,800 Non invasive technology Temperature & Humidity Data Power and Facility Monitoring 18,000 Blanking of open U space Vertical infill's (800mm wide Cabs) Optional Under floor solutions (not inc.) Installation and commissioning 9.,000 Site services Commissioning and test Deployment of cold aisle containment including sensor in 273 Racks 90,000 Includes supply and installation Enterprise Management Software including standard reporting package 35,000 Dynamic PUE Environmental kwhrs, kva, CO2 Tonnes Costs per rack, group, total Total 315,800 12

13 Return on investment Return on investment Total Energy spend PUE: ,260, Total Energy spend target PUE:1.8, Energy cost saving target (year 1) 353, Total cost to deploy legacy EMS solution 315, Average cost per cabinet 1, Return on investment 11 months 13

14 WHERE FURTHER SAVINGS CAN BE MADE Source Saving Capital cost ROI CRC Carbon credit allowance reduction 25,200 New Centralised Chiller 100, , Yrs National Grid Power Rental 3MW Back up 50,000/MW Capacity 150,000 5,000 NA [New Revenue Stream] TOTAL 275, ,000 14

15 National Grid has spike demands Backup/Stand by Power Rental to the National Grid To cater for this the National Grid has to supply a sharp increase in power for a Short period of time. This is done by firing up Power Stations 12 hours in advance. This is inefficient. by having the ability to use customer Back up / Standby Generators, high peak demand can be efficiently managed. Rental is based on Capacity, 50,000 / MW. Use of capacity can be 1 hour per year to a few hours per month. Non Intrusive to the customers business activity. CRC Carbon credits are also given for the full capacity to the customer 15

16 Monitoring Metrics 16

17 Data Centre Metrics PUE [Power Usage Effectiveness] Total Facility Energy Usage/ IT Energy usage DCiE Reciprocal of PUE IT Energy Usage/ Total Facility Energy Usage However PUE and DCiE does not distinguish between fixed and variable Energy costs Fixed Energy Overhead Facility Power drawn if no IT equipment is on load, ie UPS s. CRAC Units Variable Energy Overhead Facility Power drawn in response to IT load, ie Chiller compressor pumps I²T Heating affect with current draw, ie Caballing and Transformers 17

18 Dynamic PUE 18

19 Data Centre Metrics PUE / DCiE Not the be all and end all Data Centre metrics such as PUE and DCiE are commonly Used as a measure of Data Centre Efficiency. There are however some issues with these metrics If an energy efficiency programme is being carried out, which includes reducing the IT load, deployment of more efficient IT equipment, these metrics could get worse Operators with older designed Data Centres Operators with high resilience levels Both will have higher fixed energy overheads. The Fixed Energy overhead has a significant effect on PUE and DCiE, Deploying Fixed and Variable energy overhead metrics can be used to develop Data Centre Efficiency performance Fixed Energy overhead; Base line performance Variable overhead Operational performance 19

20 Data Centre Metrics DCEe and PUE Metrics will identify efficiency issues They need to be monitored dynamically. Manual measurements at 1] Max IT Load, low Utility load = Optimum DCiE/ PUE 2] Min it Load, High Utility Load = Worst DCiE / PUE Neither are correct Snap shot in time Information not accurate to deliver effective cost savings analysis Dynamic PUE /DCiE, Fixed and Variable Energy overhead metrics measured at the right level of granularity, will high level information to help make practical decisions to improve Energy efficiency 20

21 Equipment Loss Parameters Device Caballing & Switchgear Rated power (MW) Fixed Losses Variable Losses I²T Losses 1 0% 0% 1.5% PDU s % 0% 0.5% UPS s 1.1 2% 2.5% 5% CRAC s % 1.5% 0% Chiller Plant 1.5 5% 30% 0% Transformer % 0% 2.5% 21

22 Data Centre Metrics Calculating / Measuring Fixed and Variable Energy Overhead for New build can be carried out at the Design Test stage of the deployment For an existing Legacy Data centres this is not so easy. Estimations need to be made. This can be done by monitoring the Utility load and IT Load in hourly intervals over several days. Rack level and External temperature should also be measured to consider the effect of cooling/ Free air cooling with external temperature A scatter graph with regression analysis can be plotted to calculate the Fixed Energy Overhead. 22

23 Fixed and Proportional Energy Overhead 23

24 Fixed and Proportional Energy Overhead 24

25 Fixed and Proportional Energy Overhead Variable Energy Overhead 25

26 Monitoring points for DC Metrics 26

27 Monitoring points for DC Metrics 27

28 Conclusion Modular flexible Data Centre design to optimise Fixed Energy overhead, particularly for New Build Data Centres, not fully populated Monitoring of Facilities and IT Load equipment to provide accurate operation performance measurements, DCiE / PUE, Fixed and Variable Energy overheads Monitoring Parameters should include External air Temperature Cold Aisle air Temperature Rack temp monitoring Rack IT load, Utility load dynamic Ideally to specific utilities to monitor optimal performance Monitoring the above parameters at the right level of granularity will allow optimisation of Free air cooling CRAC, Chiller, UPS optimisation Dynamic PUE / DCiE metrics Identify and reduce Hot spots which determine cooling requirements Rack/server KVA duty Phase Balancing 28

29 Reporting 29

30 Dash board view of estate to a rack 30

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