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1 Interested in conducting your own webinar?

2 Improving Efficiencies by Integrating Data Center Systems August 30 th, 2012

3 Audio Abstract Presenter Info Slides Handouts Group Chat Q & A Live Twitter Feed Help Survey Archive Add to your favorites

4 Improving Efficiencies by Integrating Data Center Systems August 30 th, 2012

5 Architectural Effects on Efficiencies Raised floor and room air tightness Humidity control vapor barrier Ceilings as return air plenums Raised floor as supply air plenums Containment coordination, tightness Large areas required to reduce static pressure and accommodate ducts and louvers

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7 Controls Pressurization Contamination Smoke, Pollen, Diesel Temperature reset on cooling equipment to control Humidity. Select controls based on type of air management

8 Electrical High voltage distribution 208, 230, 277V High efficiency equipment (or Eco mode UPS) Take heat producing equipment out of computer room Let Electrical and UPS rooms operate at higher temperatures Lighting control

9 Mechanical Raise Computer room temperatures to ASHRAE recommendations/allowable limits Increase allowable humidity levels consider cost to add humidity Raise chilled water temperatures Use VSD pumps and fans to reduce power Use redundant equipment to increase efficiencies

10 Mechanical High efficiency economizer systems Air Water Refrigerant Adiabatic cooling systems Right size cooling system operation ASHRAE code requirements Typical DX type units may not meet minimum efficiencies

11 Mechanical PUE varies by system and geography Fan power is a big influence

12 Key Factors for PUE System Location Operating Conditions

13 P U E Hi gh Lo w

14 Mechanical Hot/Cold aisle containment systems Similar operational costs Different control strategies How to keep hot and cold air separated Doors at end of aisles Barriers from cabinets to ceiling Duct from cabinet to ceiling Consider temperature in room OSHA limits on heat exposure

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16 OSHA Technical Manual SECTION III: CHAPTER 4 HEAT STRESS TABLE III:4-2. PERMISSIBLE HEAT EXPOSURE THRESHOLD LIMIT VALUE Work Load* Work/rest regimen Light Moderate Heavy Continuous work 30.0 C (86 F) 26.7 C (80 F) 25.0 C (77 F) 75% Work, 25% rest, each hour 30.6 C (87 F) 28.0 C (82 F) 25.9 C (78 F) 50% Work, 50% rest, each hour 31.4 C (89 F) 29.4 C (85 F) 27.9 C (82 F) 25% Work, 75% rest, each hour 32.2 C (90 F) 31.1 C (88 F) 30.0 C (86 F) *Values are in C and F, WBGT. These TLV's are based on the assumption that nearly all acclimatized, fully clothed workers with adequate water and salt intake should be able to function effectively under the given working conditions without exceeding a deep body temperature of 38 C (100.4 F). They are also based on the assumption that the WBGT of the resting place is the same or very close to that of the workplace. Where the WBGT of the work area is different from that of the rest area, a time-weighted average should be used (consult the ACGIH Threshold Limit Values for Chemical Substances and Physical Agents and Biological Exposure Indices (1992). These TLV's apply to physically fit and acclimatized individuals wearing light summer clothing. If heavier clothing that impedes sweat or has a higher insulation value is required, the permissible heat exposure TLV's in Table III:4-2 must be reduced by the corrections shown in Table III:4-3. Average Web Bulb Globe Temperature (WBGT) For indoor and outdoor conditions with no solar load, WBGT is calculated as: WBGT = 0.7NWB + 0.3GT WBGT = Wet Bulb Globe Temperature Index NWB = Nature Wet-Bulb Temperature DB = Dry-Bulb Temperature GT = Globe Temperature

17 Monitoring and Modeling for the Future M+W U.S., Inc. A Company of the M+W Group August 30, 2012

18 Datacenter Infrastructure Management (DCIM) DCeP - Datacenter Energy Productivity Datacenter Predictive Modeling (DCPM) Information Technology Infrastructure Management (ITIM) Building Management Systems (BMS) Network Management Systems (NMS) The ability to manage, monitor, control and forecast the performance of a data center now and into the future 18 M+W U.S., Inc. Corporate Overview

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20 Integrating the facilities into a large homogeneous network is the driving force in today s environments. 20 M+W U.S., Inc. Corporate Overview

21 Distributed Controller EPMS BMS Security EPMS BMS Asset Management Facility Planning Change Management 21 M+W U.S., Inc. Corporate Overview

22 DCPM Tools: CFD Modeling EPMS Systems BMS Systems LSS Systems Carbon Footprint Assessment Network Management Systems Capacity Planning Tools 22 M+W U.S., Inc. Corporate Overview

23 Goals for opendcim The number one goal for opendcim is to eliminate the excuse for anybody to ever track their data center inventory using a spreadsheet or word processing document again. We've all been there in the past, which is what drove us developers to create this project. Provide complete physical inventory (asset tracking) of the data center Support for Multiple Rooms (Data Centers) Management of the three key elements of capacity management - space, power, and cooling Basic contact management and integration into existing business directory via UserID Fault Tolerance Tracking - run a power outage simulation to see what would be affected as each source goes down Computation of Center of Gravity for each cabinet Template management for devices, with ability to override per device Optional tracking of cable connections within each cabinet, and for each switch device Archival functions for equipment sent to salvage/disposal Integration with intelligent power strips and UPS devices - APC, Geist Manufacturing, Liebert, and Server Technologies. Easy to update with OIDs for other manufacturers Open Architecture - All built on a MySQL database for easy report building, or export to other applications 23 M+W U.S., Inc. Corporate Overview

24 Server Room Environmental Monitoring: Temperature IT equipment Ambient Outside Humidity Airflow / Pressurization Air Quality (Internal and external) Smoke Water Leakage Energy Flow / Power Failure / Usage Security 24 M+W U.S., Inc. Corporate Overview

25 Top 10 Questions being asked of datacenter managers: 1. Are we effectively measuring power utilization in our data center(s) today? 2. What's our overall efficiency rating (PUE, DCIE, and CADE), and how does that compare to the industry norm? 3. Are we able to accurately determine which equipment is being utilized the least and/or is the least efficient? 4. Can we determine energy consumption by application, transaction, or department, and does it make sense to allocate those costs accordingly? 5. How much is this year's technology refresh cycle expected to improve overall data center efficiency and capacity? 6. What gains did we realize (or do we expect to realize) from consolidation and virtualization of server and storage resources? 7. Can we optimize those gains with "what-if" analyses of all available options or through other measures? 8. Where are we most likely to experience a serious limitation, and are we at risk of having a data center exceed its available capacity? 9. How can we minimize energy consumption (and costs) in our data center(s)? 10. What will be the return on investment for improving overall efficiency in our data center(s)? 25 M+W U.S., Inc. Corporate Overview

26 Demands and Constraints placed upon Datacenter Operators 26 M+W U.S., Inc. Corporate Overview

27 Benchmarking: Power Utilization Effectiveness (PUE) Green Grid Data Center Infrastructure Efficiency (DCiE) Green Grid Water Usage Effectiveness (WUE) Green Grid Carbon Usage Effectiveness (CUE) Green Grid Corporate Average Data Center Efficiency (CADE) Dynamic Power Optimization (DPO) Data Center Fixed to Variable Energy Ratio Matrix (DC-FVER) IT Metrics - SPECPower IT Metrics - Energy Star Datacenter Power Performance per Energy (DPPE) GreenIT Carbon Reduction Commitment (CRC) 27 M+W U.S., Inc. Corporate Overview

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30 Losses in the electrical system occur at every form of transformation and over the distance in cabling VAC distribution and Electrical Power Monitoring Systems (EPMS) are designed to monitor and minimize losses where ever possible. 30 M+W U.S., Inc. Corporate Overview

31 In the recent past, the datacenter industry has responded favorably to cries from environmentalist to search for ways to improve their efficiencies. The benchmarks created have allowed the industry to better understand the waste that was generated by over designed and poorly managed datacenters. These same benchmarks are now being used to better understand the actual infrastructure required to better support the business need. 31 M+W U.S., Inc. Corporate Overview

32 With the use a well developed set of DCIM tools, the datacenter manager will be able to commission the facility to function as designed and then recheck that facility yearly to be sure the operating parameters do not deviate from the optimal criteria developed for the facility It s critical to be sure that when the facility is measured yearly that the facilities baseline never changes. 32 M+W U.S., Inc. Corporate Overview

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34 This Matrix shows that strong DCPM Tools enable the datacenter owner to better plan for capital expenditures rather than basing decisions on the DCiE benchmark. Tools allow the owner a glimps of how his facility will operate under the new conditions before implementing the change. 34 M+W U.S., Inc. Corporate Overview

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37 The approach in building a modern Datacenter Match to Business Demands Be cognizant of the total costs of the facility Understand the effective and economic lifetime of the building systems Monolithic Tier X Datacenter s are out Modular split Tier built in modular fashion are in With the rising costs of energy and increasing pressure on organizations to be more "green," implementing a DCIM and/or DPO solution is inevitable. Monitor, control and benchmark 37 M+W U.S., Inc. Corporate Overview

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