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Business Information Technology Data Centers Presentation RTF Data Center Working Group

Business Information Technology Data Centers Presentation RTF Data Center Working Group. Geoff Wickes Emerging Technologies NEEA May 7 th , 2013. Updated May 8 th , 2012 . Emerging Technology. Goal: Fill the pipeline with energy efficiency opportunities Key Objective :

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Business Information Technology Data Centers Presentation RTF Data Center Working Group

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  1. Business Information TechnologyData Centers PresentationRTF Data Center Working Group Geoff Wickes Emerging Technologies NEEA May 7th, 2013 Updated May 8th, 2012

  2. Emerging Technology Goal: • Fill the pipeline with energy efficiency opportunities Key Objective: • Project portfolio with 20 year potential of 300 aMW Activities: • Identification • Confirmation • Market Readiness

  3. Target Market Definition

  4. Data Center Type & Size Source: US EPA. August 2, 2007. Report to Congress on Server and Data Center Energy Efficiency. Public Law 109-431 and Symanski, Dennis. 2011. EPRI Data Center Energy Efficiency Research. EPRI. August 8, 2011 Presentation to Intel

  5. Potential Need for Energy is Growing 2010 2030 Growth of Population 30% 13M 17M Growth of Personal Electronics Use 20% since 2005

  6. Why This Market • Growing load Virtually untouched Highly cross-cutting SMB intersection Slow adoption of existing technologies Loss of other measures

  7. Technical Savings Potential PNW Source: Integrated Data Centers Opportunity Assessment – Final Report , 2013, PECI report to NEEA

  8. Utility Perspective Challenges Understanding potential Lack of market research Lack of pilot data Lack of understanding of how to reach market Market speed /baselines Lack of program approach Evaluability Interests Small & Medium Business solutions Close the gap in portfolio offerings Customer satisfaction Market research & pilot data Cost-effective resource programs Improved market engagement Alternative to lighting savings or other commercial and industrial offerings

  9. Opportunity Coordinated Intervention Combined Resources Leverage Market Reach Market Engagement Unlock Savings Support Utilities Market Transformation

  10. End User Profiles Key Motivators Uptime & performance Cost, control, predictability User, client satisfaction Space, power, cooling capacity Getting things done Information from trusted sources Risk averse yet pragmatic • Profile • Skill & experience varies widely • Use trusted advisors • Skeptical of vendor driven info • Highly connected, digital • Grass-roots data gathering • Collaborative, interested in peers • Not aware of energy consumption

  11. General Concept Form a small coalition (NEEA, PG&E and two or three others) Run two key focus groups (West Coast / East Coast) • IT Managers, CIO’s • Value Added Resellers • OEM’s (Dell, HP, Cisco, Microsoft) • Subject Matter Experts • Researchers and DOE • Utility technologists and Program Development Review findings – define demonstrations • Tool development • Training and data collection Implement 40-50 Data Center monitored interventions • Each funder to originate and implement 10-12 demonstrations as custom projects • Pre and Post Monitoring • Savings and Case Study Development Analyze, Synthesize, Review and report results – Make recommendations

  12. Proposed Approach Targeted Research Collaborative • Focus Groups • Confirm preliminary research finding • Deepen understanding of market needs • Validate value propositions • Identify/vet possible solutions • Field research • Gather data (metered) • Develop and test protocols • Analyze and quantify opportunity

  13. Optimal Solution Access to market data Multiple potential touch points Customizable and scalable Cost-effective delivery platform National model to share risk & reward Possible up-stream intervention

  14. Optimal Solution: Possible Web Tool Why? Digital audience Integration of partners Enable end users to act Share & cross-promote Collaborate Harness and analyze large data set Sophisticated web presence | Social experience Content creation & management | Analytics & data mining

  15. Possible Up-Stream Solution Audit Tool • Authenticate to central database • Zip Code identification • Saving calculation and incentive options Multiple touch points • Individual • Value Added Reseller (VAR) • OEM’s Issue Coupon for fulfillment • Individual • VAR • OEM’s Implement interventions Document completion

  16. Research Scope Coordinated EM&V

  17. Phased Approach • Phase II: Launch & Execution • (Sept 2013 – May 2014) • Launch & Kickoff • Workshops (CA & NE) • Finalize field demo protocol • Utility field demos • Final report & recommendations • Phase I: Startup • (June – Sept 2013) • Pre-Launch Kickoff • Recruit RC members • Workshops: Prep & limited recruitment • Field demo protocol & testing (2-3 sites) • Engage EM&V contractor

  18. Budget Overview • Phase I budget exclusions: • Cost of recruiting RC members • Lead RC member coordination costs • EM&V contractor costs • Recruitment of data centers for protocol testing • Payment of customer incentives (as applicable) • Phase II budget exclusions: • Recruitment of data centers for utility field demos • Lead RC member coordination costs • EM&V contractor costs • Recruitment of data center owners for workshops • Field demo service provider costs (as applicable) • Payment of customer incentives (as applicable) Phase I: $265,000 (68% of total) Phase II: $135,000 (34% of total) Total Budget: $400,000

  19. Additional Content

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