Energy Optimisation. A new approach. Simon Brady DCS (Design) EMEA Optimisation Program Manager. Chairman EMEA Liaison Committee The Green Grid

Transcription

1 Energy Optimisation A new approach Simon Brady DCS (Design) EMEA Optimisation Program Manager Chairman EMEA Liaison Committee The Green Grid

2 The world remains in a critical CO2 emissions problem 2018 Vertiv

3 ICT ENERGY GLOBAL CONTEXT & SOME INTERESTING FACTS If the Internet was a country, it would be country #5 in global electricity consumption. Internet is approaching 2% of total electricity consumption in the US (and growing). Telcos spend around $35B per annum on Energy. An incumbent typically consumes more than 1% of their country s electricity. Large multinational operators already pay billion dollar energy bills every year. ~1.5% of revenues become energy cost. A large multinational operator (eg Telefonica) consumes the same electricity as a small country where it operates (eg Panama) ICT is approaching 5% of total global electricity consumption (and growing). See below: source: Lannoo, Bart, et al. "D8. 1. Overview of ICT energy consumption." Network of Excellence in Internet Science, FP7 source: Malmodin, J., & Lundén, D. (2018). The electricity consumption and operational carbon emissions of ICT network operators (TRITA-EECS-RP). Stockholm 2018 Vertiv

4 as an industry, we are VERY power hungry efficiency and optimisation go from a one-off exercise to necessary and continuous operation mode 2018 Vertiv

5 ENERGY IS NOT GETTING CHEAPER Carbon Credentials - UK even if new technologies could bring generation costs down, governments could move and keep the final cost of energy high 2018 Vertiv

6 NOT ALL DOOM AND GLOOM: OPPORTUNITIES Source: TIP 2018 Vertiv

7 Industry PUEs evolution over time 2018 Vertiv

8 DATA CENTRES ANONYMOUS 2018 Vertiv 8

9 IT S NOT ROCKET SCIENCE 2018 Vertiv 9

10 THE PERFECT DATA CENTRE 2018 Vertiv 10

11 HANDS ON MK 1 EYEBALL

12 IT S NEVER BEEN KOOL TO BE COOL ASHRAE 2004 Thermal Guidelines Recommended 20 o C to 24 o C! 12

13 EVEN IN 1996! *Additional Notes 13

14 THE BEAST FROM THE EAST? 14

15 BABY IT S COLD INSIDE 2017 Winner 15

16 BUT I LIKE IT COLD CRAC Return temperature. 21 o C! *Additional Notes 16

17 WHY SO COLD? Risk aversion If it ain t broke, don t fix it. Lack of knowledge Better to be safe than sorry Hot spots Sledgehammer approach Legacy IT Lowest common denominator No thermal strategy Organically grown data centres Poor Maintenance Strangled capacity *Additional Notes 17

18 NO THERMAL STRATEGY 18

19 LACK OF KNOWLEDGE 19

20 ORGANICALLY GROWN DATA CENTRES 20

21 POOR MAINTENANCE *Additional Notes 21

22 ALL OF THE ABOVE 22

23 ALL OF THE ABOVE Total number of floor tiles 1209 Total m2 of room 435 List of tiles with openings Percentage of open area Number of tiles Open m2 5% 0 10% % % % % % % m 2 Hole Other cut outs Room Edge Gap Total Percentage of room open 4.23% 23

24 LACK OF KNOWLEDGE Monitor & measure correctly *Additional Notes 24

25 WHAT NOT TO DO 400 to purchase 100 pw to rent Over 750 a year to run 770W to your power load 770W to hear cooling load 18 month temporary fix 5 units 39k in rental! 3700 in energy 25

26 OPTIMISATION Equipment Room Site Room Air flow optimisation Thermal & Rack Layout & Containment optimisation Equipment Retrofit & Upgrade Equipment Replacement

27 OPTIMISATION Equipment Room Site Raised Floor Cabling Air loss Blanking panels Thermal equipment layout Racks Layout Cold Aisle containment Smart Aisle EC Fans Electronic Expansion Valves Condensing Units icom control Direct Free Cooling Digital compressors vs Scroll compressors Chillers Free Cooling & Adiabatic UPS high efficiency equipment

28 OPTIMISATION IS THE SOLUTION Risk 2 nd largest cause of loss of service Establish and deliver thermal compliance Thermal issues account for 29% of unplanned outages in data centres Capacity Cooling capacity and usage often unknown Average data centre cooling utilisation is under 38% Quantify and release cooling capacity Energy Cooling is the 2 nd largest consumer of energy Save 20-40% with optimum cooling solution Typically over 35% of a data centers energy consumption is on cooling

29 ENERGY EFFICIENCY IN SIMPLE STEPS double PUEs from digit eg. % savings 2.5+ to 1.5- Baseline now BAU 2 to 5 years Target *Also contributes to Real-Estate Efficiency ** Others include: lighting, insulation, distribution, air flow optimisation, legacy switch-off, backup optimisation, pumps, etc.

30 Analytics NEW SERVICE OFFERINGS EMPOWERED BY BIG DATA FieldDB Warehouse D A T A Global Data Lake Warehouse Power System Services - ERS ES CIS LIFE RSD Warehouse I J E C T I O N Health of installed units vs. peers and modeled prolife (Customer Impacts) anticipate serviceable event (Transactional Sales) Currently: Injecting 10 years 250,000 eforms (field data of UPS, Power, Thermal, startups, repair and PM s) Injecting from BD POC: 15 years of Battery Records 100M+ Values Planned Injection: 11K LIFE Service connected devices, 10+ years 30

31 ESAAS MODEL: MAIN FEATURES. FROM 0 TO 100 TO 0. YOU CHOOSE. Flexible CAPEX and positive OPEX Savings for the Client Energy Savings Sharing model with positive impact from day 1 Site Assessment Energy Savings as a Service XaaS Rob Johnson, Vertiv CEO, Freedom from Hardware Medium and long-term contract (typically 10 years) Vertiv responsible for network optimization (complete solution) Full maintenance covering preventive, corrective, spare parts, consumables Solution Engineering Energy Savings Commitment Remote monitoring services to track energy consumption performance Variable payments according to solution performance Scope: all Telco sites, especially the larger consumption ones Commissioning with Full Warranty & Service Energy Savings Control & Reporting 31

32 Preliminary planning document, subject to consultation, negotiation or other local legal requirements. VERTIV TECHNICAL EXPERTISE, LONG TERM PARTNERSHIP CAPEX Vertiv buys, swaps, operates and maintains the new equipment. The asset belongs to Vertiv Focus on paybacks from 3 to 7 years Reduce Telco s CapEx and cash flow tensions Equipment modernization with no CapEx; no Debt Applicable to all kinds of sites: OPEX O&M is Vertiv's responsibility SLA s defined to keep high quality standards Data-Centres No impact on equipment Tech (Vertiv is current supplier) OpEx reduction (O&M and energy cost reduction) Switch-Sites Flexibility 100% variable (No fixed payment) 100% flexible (% to be shared can be managed project by project) Flexible energy price (fixed or variable, project by project) Earnings since the 1st day of equipment installed Long-term (7 to 10 years) contracts Energy Baseline Adjustments (Consumption changes, temp setpoints, layouts...) End of contract: Asset Renovation or Service Contract extension Cell-Sites Offices Call-Centres Warehouses Retail Sites / Shops 32

33 ESAAS MODEL: HIGH-LEVEL ECONOMICS Typical project duration: 10 years Monthly OPEX payments Paybacks are typically longer than traditional CAPEX projects Typical paybacks will range from 3 to 7 years Baseline adjustments during contract length AS-IS Optimised Consumption Consumption Total Savings Telco Net Savings Vertiv Payments

34 34 BUSINESS CASE PARAMETERS 70,000 60,000 50,000 40,000 30,000 20,000 10,000 - Telefonica Savings (net /annum) Operational Energy Year Savings Split Expected Monthly Payments (Euros) 1 90% 8, % 8, % 8, % 8,142 ESaaS Payback: ~5 years ~ one million investment Reference energy price: 70 /MWh 300kW reference IT/Telecom load Substantial changes in load imply case review % energy price annual increase or variable Insurance & financial costs included 5 80% 8, % 8, % 7, % 6, % 5, % 4,826

35 THE MODEL IS APPLICABLE TO ALL YOUR TECHNOLOGIES AND SITES COLLABORATION OPPORTUNITIES Core Sites DC and AC Power updates Chiller Freecoling High efficiency CRACs Others layout, temperature, pumps CASE STUDY VIDEO Freecooling for Access Freecooling for BTS for selected areas Offgrid Access Sites Solar Panels Extended battery backup High Efficiency Diesel Generator Others 35

36 OPTIMISATION RESULTS UK DC Lights&Others 5% DC&UPS losses 7% Power footprint Value measured during site survey Incoming (kw) 713 IT/Telecom load (kw) 328 Cooling System (kw) 298 Lights&Others 38 DC&UPS losses 49 PUE 2,17 Cooling System (kw) 42% IT/Telecom load (kw) 46% Trend of PUE PUE Gen Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec PUE Preliminary planning document, subject to 36

37 OPTIMISATION RESULTS UK DC Value measured during site survey After Recommended solutions Incoming (kw) IT/Telecom load (kw) Cooling System (kw) Lights&Others DC&UPS losses PUE 2,17 1,67 PUE 2.17 PUE 1.67 Saving = 1,454,603 kwh/ year = 170, / year *(1 kwh= 0,1172) 37

38 RESOURCES The Green Grid Library & Resources Data Centre Code of Conduct Introductory Guide Participants guidelines Best Practice Guidelines Engage a Vertiv Expert ://.. / - / - / / - - /#/ *Additional Notes 38

39 THANK YOU FOR ATTENDING! ANY QUESTIONS? Simon Brady DCS (Design) Data Centre Optimisation Manager Linkedin: uk.linkedin.com/in/simonbradycdcd Connect with Vertiv for the latest IT and data centre news updates: Vertiv Vertiv Co