Active Collaboration in the Data Centre Eco-system to Reduce Energy Consumption and GHG Emissions: All4Green

Transcription

1 1 Active Collaboration in the Data Centre Eco-system to Reduce Energy Consumption and GHG Emissions: All4Green, University of Mannheim E^2 2014/Cambridge/June 10

2 General Project Idea 2 The All4Green Goal: Use the existing value creation chain among energy supplier, data centre and IT customer for demand response with data centres to save CO2 emissions and energy system-wide. The All4Green Means: Reconcile diverting objectives of eco-system partners by creating an interlinked set of contracts Enable underlying communication and adaptation technically

3 The Eco-System 3

4 Achievements: All4Green Plug-In 4

5 Achievements: Novel Contract System 5

6 Achievements: Energy Modes 6 Accepted Energy Increase Request (by ES) ES Energy Increase/Reduce Accepted Energy Reduction Request (by ES) in Extra Energy mode in Regular mode in Energy Saving mode Completed Energy Increase Request Completed Energy Reduction Request

7 Achievements 7 Within Data Centres: Power Adaption Models By consolidation of services By temporal shifting of services By geographical shifting of services (federation) By using the UPS By using the cooling system Communication within the Eco-System: New Demand Response Protocol for DR with Data Centres Monitoring messages Adaptation messages

8 Achievements: New Metrics 8 flexibility: Cooling Buffer: ΔPower QoS 0 ΔMaxPower(cool vs. norm) ΔQoS

9 All4Green Trial Configurations 9 Trial 3 EP Trial 1 EP EP Single Or Multi Owner EP Sim HP-1 HP-2 EP Sim Private/Public IaaS Cloud (bursting) SWP :a:k:t Sim Sim Traditional Computing Trial 2 EP EP EP Sim Wind-Mi Single Owner Wind-Rm EP Sim Private Cloud (Virtual Desktop) 2nd E^2 Workshop Page 9

10 Results: Passau Test Bed ( & ES) 0 Power-saving potential Energy-saving potential CO2-saving potential Shortage avoidance potential Server flexibility Depends on GreenSLA, savings of 9.3% to 45% possible (9.3KW; 45KW) Depends on GreenSLA savings of 9.3% to 45% (9.3% corresponds to KWH for 30 minutes) Depends on GreenSLA, savings of 2 kg CO2 when power is adapted by 9.3% for 30 minutes Depends on GreenSLA, small/medium sized s needed to avoid an average power shortage Antivirus flexibility Shifting of 1.7% (1.74KW) Shifting of 1.7% (5.22 KWH in 3 hours) small/medium sized s needed to avoid an average power shortage UPS flexibility 100% for 8 minutes ( KW) negative energy savings due to recovery: % (69.8KWH) negative due to recovery: increase of CO2 emissions by 2.4% (29 kg) 49 small/medium sized s needed to avoid an average power shortage Combined flexibility 100% for 9 minutes ( KW) Depends on GreenSLAs (energy-saving potential of the server flexibility) Depends on GreenSLAs (energy-saving potential of the server flexibility) 42 small/medium sized s needed to avoid an average power shortage negative energy savings due to UPS recovery: % (63.12KWH) negative due to UPS recovery: increase of CO2 emissions by 1.4% (27 kg)

11 Where to start? 1 London: Pressure on Grid Capacity Market THE European Hotspot Paris: Winter Power Challenge Capacity Market Many Outsourcing SouthGermany: Nucl. Phase-out High Share Renewables Much Activity