2. 5 How to reduce costs
& increase efficiency
2
2
3. Data Analysis – Data Centre
• Increase set point on
CRAC Units
• Reduces energy
consumption
3
4. Data Analysis - General
07.00am till 10.00pm = 15hrs Quiescent power (4 x 1.50kWh = 6 kWh)
Load (4 x 3.25kWh = 13kWh)
Reduce 15hrs @ 7kW = 105kW @ 0.09p = £13.50 per day
52 Sundays + 8 Bank Holidays = 60 x £13.50 = £810.00
1000 stores = £810,000 saving in one year
Occupancy hours energy use £23,400.00/ Annum
Out of hours energy use £5,867.00/Annum = 25%
4
5. Reporting
Zones 5 & 6
Real time Alarming
Environmental
– Temperature
– Humidity
– Water leakage
– Air flow
– Smoke
Power
– True RM Volts
– True RMS Amps
– kVA
– kW
– kWhr
– PF
– PUE
• Energy Costs
CO² Tonnage from
Point of entry, supporting services, individual supporting service
equipment, group of racks, individual rack, individual Server 5
6. Analysis and Interpretation
• Phase balancing
• Power abuse by customer SLA’s
• Energy cost apportionment against:
– IT process
– Customer
– Cost /profit centre
• Computational process energy use
• Capacity planning/trend analysis
• Future energy/cooling for future business expansion
6
1 Once we have detailed information collected to a central platform 2 The information needs to be presented to be Simple concise Fast and Available for multi departments to use DCIQ provides a range of standard reports which can present information for a specific period in time for a specific parameter Such as co2 Temp KVA ENERGY COST ETC
1 st Screenshot High light out of norm events Rack abuse against SLA’s Against specified cooling/ power conditions Identify WHEN THERE WERE ABUSE potential capacity issues and resilience issues 2 nd Screenshot Capacity planning based on power and rack temperature Identify future growth and availability requirements 50%, 80% limits Can Monitor specific Racks to monitor performance when implementing energy saving initiatives to guarantee no reduction in resilience Or when installing new equipment