Transcript NEEA Data Center Scanning Activities

Business Information Technology
Data Centers Presentation
RTF Data Center Working Group
Geoff Wickes
Emerging Technologies
NEEA
1
Updated May 8th, 2012
May 7th, 2013
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
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Target Market Definition
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Data Center Type & Size
Space Type
Server Closet
(e.g. small business)
Server Room
(e.g. <400 person company)
Localized Data Center
(e.g. hospital data center)
Mid-tier Data Center
(e.g. financial services)
Typical Size
Typical IT equipment
characteristics
% of Data
Centers in
U.S.
% of Servers
in U.S.
< 200 ft2
1-10 Servers;
no external storage
52%
17%
< 500 ft2
A few to dozens of
servers;
no external storage
45%
24%
< 1,000 ft2
Dozens to hundreds of
servers; moderate
external storage
2.50%
16%
< 5,000 ft2
Hundreds of servers;
extensive external
storage
0.40%
15%
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
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Potential Need for Energy is Growing
Growth of
Population
2010
2030
30%
13M
17M
Growth of
Personal Electronics Use
since 2005
5
20%
Why This Market
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Growing load
Virtually untouched
Highly cross-cutting
SMB intersection
Slow adoption of existing
technologies
• Loss of other measures
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Technical Savings Potential PNW
62.5 aMW
total
PC Power
Management,
24.0%
Efficient
Servers,
29.6%
Virtualization,
HVAC and Air
19.1%
Handling,
26.6%%
Efficient
UPS, 0.7%
Source: Integrated Data Centers Opportunity Assessment – Final Report , 2013, PECI report to NEEA
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Utility Perspective
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
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Challenges
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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
Opportunity
Coordinated Intervention
Combined Resources
Leverage
Market Reach
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Market Engagement
Unlock Savings
Support Utilities
Market Transformation
End User Profiles
Key Motivators
Profile
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• 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
Uptime & performance
Cost, control, predictability
User, client satisfaction
Space, power, cooling
capacity
• Getting things done
• Information from trusted
sources
• Risk averse yet pragmatic
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General Concept
• Form a small coalition (NEEA, PG&E and two or three
others)
• Run two key focus groups (West Coast / East Coast)
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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
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Tool development
Training and data collection
• Implement 40-50 Data Center monitored interventions
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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
Proposed Approach
Targeted Research Collaborative
• Focus Groups
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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
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Optimal Solution
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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
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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
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Possible Up-Stream Solution
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Audit Tool
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Multiple touch points
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Individual
Value Added Reseller (VAR)
OEM’s
Issue Coupon for fulfillment
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Authenticate to central database
Zip Code identification
Saving calculation and incentive options
Individual
VAR
OEM’s
Implement interventions
Document completion
Research Scope
1. Recruit RC
Members &
Launch
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2. Regional
Workshops
3. Develop
Field Demo
Protocol
4. Utility Field
Demos
5. Final Report
& Rec. for
Utility
Framework
Phased Approach
Phase I: Startup
(June – Sept 2013)
Phase II: Launch &
Execution
(Sept 2013 – May 2014)
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Pre-Launch Kickoff
Recruit RC members
Workshops: Prep &
limited recruitment
Field demo protocol &
testing (2-3 sites)
Engage EM&V contractor
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Launch & Kickoff
Workshops (CA & NE)
Finalize field demo protocol
Utility field demos
Final report & recommendations
Budget Overview
Phase I budget exclusions:
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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:
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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)
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Phase I: $265,000 (68% of total)
Phase II: $135,000 (34% of total)
Total Budget: $400,000
Additional Content
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