The Efficient Enterprise. Juan Carlos Londoño Data Center Projects Engineer APC by Schneider Electric

Transcription

1 Ee The Efficient Enterprise Juan Carlos Londoño Data Center Projects Engineer APC by Schneider Electric

2 Keystrokes Kilowatts Heat OUT Electricity IN

3 Need for bandwidth exploding Going hyperbolic! 30,000 Mobility Business Internet Business IP WAN Consumer Internet Consumer IPTV / CATV 42% CAGR Petabytes per month 20,000 10,000 1 petabyte = 1,000 terabytes Source: Cisco, 2007

4 Customer touch points exploding

5 Recognition is here What is the number one challenge your data center faces today? 2008 IDC study No longer absorbed by facilities budget Major expense being charged back to business units

6 WHICH infrastructure? BUILDING infrastructure Building systems HVAC Electrical system Fire suppression Lighting Security BMS DATA CENTER infrastructure Power Cooling Racks Management Lighting Fire suppression Physical security IT infrastructure IT assets Servers, storage hypervisors, NMS NETWORK infrastructure Switches, cabling, routers

7 WHICH infrastructure? Focus of this discussion BUILDING infrastructure Building systems HVAC Electrical system Fire suppression Lighting Security BMS DATA CENTER infrastructure Power Cooling Racks Management Lighting Fire suppression Physical security IT infrastructure IT assets Servers, storage hypervisors, NMS NETWORK infrastructure Switches, cabling, routers

8 Efficiency: A central element of our strategy APC will dramatically simplify the process of creating predictable, high density, high efficiency data centers. The APC Strategy for Data Centers

9 The new heat profile of computing Then Now More CPUs per server Multi-core processors Higher loading of CPUs Virtualization

10 Ability to deliver and remove KW is constraining IT growth

11 Ability to deliver and remove KW is constraining IT growth Cost to distribute power The POWER system

12 Ability to deliver and remove KW is constraining IT growth Cost to remove heat The COOLING system Cost to distribute power The POWER system

13 Ability to deliver and remove KW is constraining IT growth Can I afford it? Cost to remove heat The COOLING system Can I even DO it? Cost to distribute power The POWER system Service entrance limits Building or grid constraints

14 What is data center efficiency? Data center Power IN Infrastructure POWER system COOLING system Lighting Generator Switchgear Fire supression Physical security Power to IT IT load Data center infrastructure efficiency = Power to IT Power IN The percent of your input power that gets to the IT loads The rest is consumed by the power system, the cooling system, and other elements of data center infrastructure

15 Where does the power go? Infrastructure IT

16 Data center efficiency is a function of IT load Efficiency Data center Efficiency 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% EFFICIENCY Right now, at current operating load Operating load % of capacity being used right now 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % IT Load IT load Percent of data center capacity

17 Overheard in the inefficient enterprise We just need more raised floor If I buy the best components, I will have the best system I have redundancy (I m fairly certain, anyway... ) Power is unlimited at generation, service entrance, and rack Thermal events aren t an issue I can have both redundancy and efficiency in a legacy design IT costs too much I have to outsource It will take months to get this up and running If I build it, here and now, they will come trust me

18 Hallmarks of The Efficient Enterprise TM Measured performance Desired availability Highest electrical efficiency Highly instrumented Process & support Highest level of ITIL/CMM definitions 7-step (PDCA) managed Lean staffing, sized for autonomic operation Warranty guaranteed (access to spare parts, etc.) Architecture/design Agility ( scale, renew, reuse) Platform stability Repeatable installation regardless of geography Predictable Minimize Excess capacity Stranded capacity Unnecessary movement of air Eco-waste

19 Power tools The Four Cs 1 omponents MODULAR and SCALABLE, with best-in-class EFFICIENCY 2 lose-coupled cooling Placement of cooling units near the heat source 3 ontainment Thermal containment of airflow in high-density zones 4 apacity management Instrumented intelligence to optimize use of power and cooling capacity

20 1 omponents with the right stuff Best-in-class component EFFICIENCY Efficient Agile MODULAR SCALABLE component design Scalable External modularity Internal modularity

21 Problem: Underloading Low loading = low efficiency In a traditional data center, over half the power consumption of the power/cooling infrastructure is fixed and does not go down when IT load goes down Efficiency degrades as IT load declines Underloading is a primary contributor to inefficiency 100% 90% 80% Data center 70% Efficiency 60% 50% 40% 30% 20% 10% 0% Efficiency Efficiency degrades at low loads Typical load range 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % IT Load IT load

22 Efficiency gain through modular scalable buildout avoids oversizing / underloading Efficiency Data center Efficiency Solution: Right-sizing 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Power and cooling installation method 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % IT load Load

23 Modular scalable design Reduce power consumption up to 30% by right-sizing power and cooling infrastructure Avoid underloading run more efficiently Pay only for what you need, when you need it P = Power C = Cooling R = Racks

24 500kW of scalable, high-efficiency power protection 100kW 125kW 150kW 175kW 200kW 225kW 250kW 275kW 300kW 325kW 350kW 375kW 400kW 425kW 450kW 500kW 475kW

25 lose-coupled cooling Reduce power consumption up to 20% with InRow architecture Closely couples cooling with heat load, preventing exhaust air recirculation Less fan power than traditional raised-floor system Varying equipment temperatures are constantly held to set point conditions Lowers operating cost by monitoring inlet temperatures to modulate cooling capacity based on the cooling demand Fan speed adjusts to follow changing IT heat load

26 Close-coupled cooling InRow air conditioner Heat captured and rejected to chilled water Cold air is supplied to the cold aisle Hot-aisle air enters from rear, preventing mixing Hot aisle Cold aisle Can operate on hard floor or raised floor

27 Efficiency comparison 100% 90% Cooling Efficiency Cooling efficiency 80% 70% 60% 50% 40% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% IT load % IT Load Cooling efficiency = useful cooling power / (power consumed + useful cooling power)

28 ontainment Eliminate expensive temperature cross-contamination with thermal containment options Simplifies analysis and understanding of the thermal environment Hot Aisle Containment (HAC) Increases predictability of the cooling system Increases cooling EFFICIENCY and cooling CAPACITY by returning warmest possible air to cooling units Ensures proper air distribution by separating supply and return air paths Rack Air Containment (RAC)

29 Rack Air Containment Rear Rear Containment Rear containment prevents hot exhaust air from escaping InRow cooling unit InRow cooling unit All exhaust air is returned to InRow cooling unit Optional front containment directs cool air to front of servers Allows up to 60 kw per rack (30 kw with N+1 redundancy) NetShelter SX rack Front Containment Front Top Down View

30 Hot Aisle Containment areas can be added as needed

31 apacity Management Increase IT staff efficiency with predictable Capacity Management Identify over- and under-utilized areas of your data center Minimize waste and human error via predictable software monitoring, sensing, and environmental control Quickly adapt to change with real-time data on what to power and where to cool

32 Rack elevations Easy-to-use front view for accurate and detailed representation of equipment layout Available capacity Understand available capacity by calculating actual space, power and cooling consumption against data center architecture constraints

33 The more elements of The Efficient Enterprise you invest in, the greater your dividends Use efficient and right-sized Components Close-couple the cooling to the heat source Contain the heat Manage Capacity

34 Primary benefit: Use less energy Lower electric bill Reduce carbon footprint Meet standardized efficiency benchmarks Achieve industry recognition Qualify for demand-side incentives from utility provider Free up capital for investment in other areas of the business

35 But wait, there s more Efficiency goal: Reduce energy consumption without hampering the mission-critical function of the data center The four Cs do that, PLUS: Increase predictability Increase agility Safeguard availability Increase manageability Position you for future growth or make room for growth now

36 Beyond the four Cs: Additional APC support for The Efficient Enterprise Automated design tools that enable high-efficiency designs InfraStruXure Designer Tools / technology to manage (not just measure) efficiency InfraStruxure Central Efficiency data and mathematical efficiency models for our products Located on APC.com Integrated data center infrastructure packages with system-level efficiency specifications Reference designs Packaged data center systems (coming soon) Standardized services for efficiency analysis and improvement from closets to multi-megawatt data centers APC TradeOff Tools Data Center Efficiency Assessment Service

37 Governance Industry-wide movement is underway to shape policy and behavior The Green Grid global consortium is dedicated to standards, measurement, processes, and technologies to improve data center performance The U.S. Environmental Protection Agency (EPA) is defining data center efficiency standards (Energy Star ratings) The European Commission s Institute for Energy is defining a Code of Conduct for data center efficiency Enterprise companies are starting to make public carbon commitments

38 A realistic data center efficiency plan for the industry 90% 80% of today s data centers operate in this range Data center efficiency (DCiE) 80% 70% 60% 50% DCiE DCiE DCiE 40% 30% 20%

39 Questions?