Data Center Context. Trends & Energy Use. Joshua Hatch Director, Sustainability Analytics Brightworks Sustainability Advisors

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1 Data Center Context Trends & Energy Use Joshua Hatch Director, Sustainability Analytics Brightworks Sustainability Advisors

2 Data Center Context Societal trends in business and individuals: Connectivity Ever faster bandwidth Wider availability More devices Streaming content Data and more Data Increasing Availability Increasing Quantity & Storage Increasing Reliance

3 Data Center Context Data centers are hidden behind: Living in the Cloud Storage Smart Phones Banking Calendars Leisure browsing ecommerce Shopping Entertainment Streaming Content Social News Business Health Care Government Telecommunication

4 Data Center Context Source:Koomey, Jonathon. Growth in Data Center Electricity Use Analytics Press

5 Data Center Context Worldwide, data center electrical energy use: DOUBLED from % Increase from Still, in 2010, they only represent: 1.3% of global electricity use 2% of US electricity use SOURCE: Koomey, Jonathon. Growth in Data Center Electricity Use Analytics Press

6 Data Center Context Types Enterprise Large owner/operator data centers Co-location Landlord/tenant, BYO-servers Cloud Data as service, rent bandwidth In-house Server closets in offices Key Considerations Uptime is king: 24 / 7 / 365 Redundancy Backup power Cooling-driven

7 Data Center Context Where do data centers want to be located? Cheap electricity High grid reliability Cheap large land plots Strong network/internet connection What do they look like? Large tilt up warehouses or renovations of industrial buildings Lots electrical lines, often cooling towers Rooftops packed with mechanical systems

8 Data Center Context Prioritizing Energy Efficiency Opportunities Location & Climate Electrical Distribution Servers Cooling Airflow Optimization Relevance in Oregon Inexpensive, high quality electricity No sales tax, economic development incentives Advantageous climate for free cooling

9 PART I: Overall Process, Model Geometry, and Internal Loads Aryn Bergman, P.E. TL CIRCLE

10 What s Important Differences b/t LEED and the ETO processes Establish the baseline Servers, cooling equipment, power distribution Support areas Depends on datacenter loads TL CIRCLE

11 Overall Workflow TL CIRCLE

12 Model Geometry TL CIRCLE

13 Calculating Power Distribution Efficiencies TL CIRCLE

14 Calculating Server Loads TL CIRCLE

15 Inputting Datacenter Loads into equest TL CIRCLE

16 Example EEM Savings TL CIRCLE

17 PART II: MODELING THE HVAC SYSTEMS BRIAN GOLDSMITH, LEED AP ALFA TECH

18 Data Center LEED Baseline Model Established by ASHRAE not suited for data centers Section G3.1.1 Exception equest is good for baseline model Usually just DX packaged units w/ little complexity Requires few or no spreadsheets

19 Data Center ETO Baseline Model Established by ETO New Buildings Program Technical Guidelines Dictated by State Energy Efficiency Design (SEED) Appendix L Based on ASHRAE Baseline model depends on proposed design Has provisions for evaporative cooling

20 Data Center Proposed Model equest cannot model modern data centers Limitations: SAT>70 High economizer cutoff Complicated Controls Evap cooling This is where Excel spreadsheets come in

21 Design Model Spreadsheets Excel is more powerful for these applications Add-in: PsychATCE VBA scripting and macros PsychATCE =RHfromDBWB(D4,E4,Elev) =DPfromDBWB(D4,E4,Elev) 8,760 hour TMY weather data from equest website Doe2.com/index_wth.html

22 Psych Chart Weather Data and Operating Modes 50 yr max wetbulb A:Mix OA/RA w/ Humid. B:100% OA w/ EC/H C:100% OA D:100% OA w/ Evap. Cool E1:100% OA w/ Evap. Cool and high DP E2:100% OA w/ Mech. Cool F: Mix OA/RA w/ high DP G:Mix OA/RA Data center operating criteria

23 Another Data Center Example Operating Window Max Wetbulb

24 Spreadsheet Input Screen Macros and buttons Almost all these values are calculated using PsychATCE Taken from schedules at full load not calculated Effectiveness used for evaporative cooling calc

25 Spreadsheet Calculation and Controls Sequence Supply Temp Reset Equation =IF(Y4,LADB_MIN,IF(OR(Z4,AB4,AC4),MIN(DBfromWBDP(E4,LADP_MIN,Elev)+FAN_HEAT,LADB_ MAX),IF(AA4,LADB_MAX,MAX(LADB_MIN,DBfromDPRH(H4,LARH_MAX,Elev)+FAN_HEAT))))

26 Detailed Calculation Example This is where evap. media effectiveness is factored in

27 Spreadsheet Output Screen Results broken down by operating mode No Mech Cooling Input into equest Calibrate equest to match

28 CLOSING POINTS Efficient servers and distribution systems have the most potential for savings Spreadsheet calculations can be used to demonstrate these savings Revit is a powerful tool for building modeling Be patient but persistent with LEED Learn how to use Excel Understanding psychrometrics and the controls sequence is key With the right tools and methodology, energy modeling can be used to improve data center mechanical system design efficiency.