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Case For Energy Storage Energy Storage - Ready to Help Manage Renewables, Demand Response, and Improve T&D Alaska Energy Storage Workshop Anchorage, AK June 20, 2012

Tackling the Business Case For Energy Storage Energy Storage - Ready to Help Manage Renewables, Demand Response, and Improve T&D Alaska Energy Storage

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Tackling the Business Case For Energy StorageEnergy Storage - Ready to Help Manage Renewables, Demand Response, and

Improve T&D

Alaska Energy Storage WorkshopAnchorage, AKJune 20, 2012

America’s Cooperative Research Network

Over 900 co-opsServes 42 million Americans in 47 StatesCovers 75% of nation’s land massOwns 42% of all Distribution Line Totals 2.4 Million Line MilesPowered by 55,000 MW Delivers 178 billion kWh of generation annually 2

Timely Energy Innovations

Membership established CRN to Monitor, Evaluate and Apply Technologies that:

• Improve Productivity• Enhance Service• Control Cost

3

Environmental

Thrifty

Com

mun

ity

Hardship

Business

RatesReliability

InformationPrivacy

Health

Conserve

Aesthetics

Safety

Regulations

Sustainable

Challenges

Solutions

Hurdles

Positive ValueFor Utilities

NRECA Technical Teams are Member DrivenOur Goal is to Help Clear the Hurdles

We start by listening – what challenges are faced?

Next we find and vet solutions and identify the hurdles

Research is then directed at moving the solutions past the hurdles through support for

Development Demonstration Deployment

4

6

DFAAdvanced conductors

Dist. AutomationEdge Voltage Control

Superhydrophobic Coatings

Solar OptionsSolar PV DeploymentDG InterconnectionAdvanced Batteries

Compressed Air StorageElectricity from biomass

Electric VehiclesLED Lamps

Energy Efficiency Program Design

Demand Response ModelsCenter for Energy Innovation0

Multipollutant ControlCycling Damage to Coal Plants

Coal Ash RefiningMicroturbines

Fuel Cells

MultiSpeak®Secure Software Development

Fuzz TestingCloud Computing

Open Modeling Framework

SCADACVR

Remote Sensor TechnologyIntegral Disconnect

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Distribution Operations

Generation& Fuels

Smarter GridTransmission& Substation

Renewable &Distributed

Energy

EnergyInnovations

Research

Pure science To Applied science and bench

Development

Applied science and bench To Prototypes and 1st generation products

Demonstration

Refinement, “hardening” of technology and the mechanics of getting technology to the grid

Deployment

Accelerating wise adoption –Making the technology practical and accessible

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2012 Research Projects

Multi-Pollutant Control

Distribution Fault Anticipation

Superhydrophobic Coatings

LED Agriculture Lighting

Estimated Life of EE Improvements

Next Generation Utility IT

Secure Software Development

Energy Storage Breakthroughs Longer Life - 5,000 to 10,000 cycles now possible Costs have decreased by over 50% with multiple value streams now

providing payback in less than five years Large battery complexes are being built in >1 MW Acceptable efficiency of 70% or more Multiple value streams are possible

– Peak shaving – Frequency regulation – T&D asset deferral – Minimize cycling and two-shift damage from renewables to fossil plants

Renewable Energy Hurdles Economics Relative to Traditional Intermittency Integration Location, Location, Location Regulatory Mandates Member Expectations

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Energy storage has huge potential, but there are too many choices and not enough knowledge.

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Cooperatives and Energy Storage History of ES Projects

– McIntosh CAES– Golden Valley NiCad system– Crescent Electric BESS

Recent projects– Kauai PV firming– Kotzebue wind integration– Midwest EC distributed energy storage– Others

Ongoing research efforts– Energy Storage Handbook in coordination with DOE / Sandia / EPRI– Co-op specific Energy Storage Toolkit

There is a groundswell of interest, but lack of in-ground demonstration is a hurdle.

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Energy Storage Hurdles Technical uncertainty, changing technology Business case is not well understood Limited experience in real-world systems Specific utilities require specific solutions

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National Cooperative Energy Storage Deployment Initiative

• Listen to co-op needs• Work with vendors to develop a set of

designs• Optimize install requirements

Standardized Designs

• Work with CFC, Co-Bank others to develop business models

• Use National Purchasing Program to get economiesof scale

Consolidated Financing and

Purchasing

Nationwide pilot program across a range

of applications

Experience transfer to the entire cooperative

network through dedicated outreach

Leverage cooperative strengths and existing resources to gain experience for the whole community.

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Storage Evaluations

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Many companies and technologies choices Wide range of applications

– Short-duration needs (high current inrush for motor start, frequency regulation, ramp requirement of renewables)

– Long-duration needs (peak shaving, storing renewables)

Focus on your needs and the value streams first, the technology choice second

Storage is Different

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Cycle life/discharge pattern of the energy storage system is critical. (i.e., map out how the storage will be used)

Nomenclature – kWh, MWh, kW-h Evaluate energy storage using discounted cash flow analysis of the multiple value streams and not cost of electricity.

CRN working with co-ops to develop an RFI and RFP for purchasing an energy storage system.

Possible Value Streams For Energy Storage

Assuming low penetration of renewables Trim Daily Peaks

Capacity credit or demand charge reduction Frequency regulation

– (higher $$ in pay for performance for energy storage) T&D capital asset deferral

Avoid new distribution transformers or transformer banks Avoid line reconductoring and new lines (big $$$$)

Possible Value Streams For Energy Storage

Assuming low penetration of renewables Arbitrage value Firming and Shifting Renewables

Improve thermal plant efficiency/reliability Reduce CO2 emissions from thermal plants Reduce congestion and line losses Eliminate rapid ramp rate requirements

Additional Value Streams For Energy Storage

Assuming high penetration of wind, such as >10% wind energy Avoid damage to coal-fired power plants Prevent spilling of wind energy at night Additional need for frequency regulation Dynamic VAr support Improved service reliability

Emerging Storage Technologies Lithium-Ion & Lithium Titanate Batteries - Expensive but

costs dropping, acceptable cycle life, used for short bursts (spinning reserve, frequency regulation, managing high ramp rates)

Advanced Lead Acid – Improved cycling vs. traditional lead acid, but still low cycle life. Potential lower cost option

Zinc Air – Potentially low cost, but in early stage of development

Ultra-Capacitors (UCAPs) – Potentially lowest cost option, but in early stage of development

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Emerging Storage Technologies

Dry Cell Battery Technology – Low cost for short duration storage and acceptable cycle life

“Flow” Batteries – Megawatt scale, excellent cycling and low cost, but mechanically complex systems

Isothermal Compressed-Air Energy Storage (ICAES) – Potentially very low cost that could make 100 MW+ scale storage possible

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Silent Power Customer-Sited Distributed Energy

Storage (Smart Grid Demo) Modular units -- 5/10 kW power with

10/20 kW-hr storage (2 hours) Cycle life of 1000 -5,000 cycles (80/10) Customer benefits include backup power

as a UPS and renewable integration Potential utility benefits include ability to

store excess renewable energy and be dispatched for short- term demand response and peak shaving (for two hours), and manage motor start-up loads

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KEA-CRN Demonstration Objectives Manage the intermittency of Wind to reduce the number of diesel

generator startups Eliminate the spilling of wind Reduce diesel fuel consumption Provide local voltage and frequency regulation support Provide spinning reserve Increase the Penetration of wind to nearly 100% CRN monitoring performance, economics, and documenting the value

proposition

ASSESSING SMART GRID BENEFITS:THE OPEN MODELING FRAMEWORK

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OMF

and STORAGE

Hurdle: What’s the ROI? Technical uncertainty, changing technology Lack of consistent analytical tools

– Period modeled– Factors considered– Underlying assumptions– Algorithms– Metrics

Different approach necessary for different technologies – e.g., DG vs. CVR vs. Storage

Comparing analyses done with different models is inherently risky.

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Open Modeling Framework

Source Data Module

ReferenceInputModule

TechnologyModules

ReferenceOutput Module

GridModules

Monetization& VisualizationModule

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OMF: Technology Modules

The Technology Modules are being derived from existing models, refined to use the same or similar inputs and to produce common engineering outputs.

Source Data Module

ReferenceInputModule Technology

Modules

ReferenceOutputModules

Grid Modules

Monetization& VisualizationModule

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Source Data Module

ReferenceInputModule

TechnologyModules

ReferenceOutput Module

GridModules

Monetization& VisualizationModule

OMF: Reference Input Module

The Reference Input Module contains a refined superset of the data used by the complete set of technology modules – refined to remove duplicative data.

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Source Data Module

ReferenceInputModule

TechnologyModules

ReferenceOutputModule

GridModules

Monetization& VisualizationModule

OMF: Source Data Module

The Source Data Module provides links to basic source data such as the National Climatic Data Center and F.W. Dodge.

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Source Data Module

ReferenceInputModule

TechnologyModules

ReferenceOutput Module

GridModules

Monetization& VisualizationModule

OMF: Reference Output Module

The Reference Output Module collects the output from the technology and grid modules in a standard framework. These are typically direct costs rather than ROI, IRR, or calculated metrics and engineering impacts. 31

Source Data Module

ReferenceInputModule Technology

Modules

ReferenceOutputModule

GridModules

Monetization& VisualizationModule

OMF: Monetization & Visualization Module

The Monetization & Visualization Module takes data from the Reference Output Module and converts these into cost/benefit analyses displayed in tabular and graphical form. AND – it facilitates comparison of different analyses.

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OMF: Grid Modules

The Grid Modules are built around GridLab-D.

Source Data Module

ReferenceInputModule Technology

Modules

ReferenceOutputModule

GridModules

Monetization& VisualizationModule

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$0

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

$7,000

$8,000

$9,000

$10,000

NPV $/kW @2%

Low High

Range of Inputs

Value to G&T

Freq Reg Svs

Arbitrage

T&D def

Mitigate Cycling

Peak Shave PPC ZnBr

GCAES

Ex.: Value To G&T Assuming High Penetration of Wind

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

$14,000

NPV $/kW @ 2%

Low High

Range of input value

Value to Dist Coop as LSE

Freq Reg Svs

Arbitrage

T&D def

Mitigate Cycling

Peak Shave

PPC ZnBr GCAES

Ex.: Value of Energy Storage To Distribution Cooperatives

Conclusions Energy Storage requires multiple value steams, which can pay for the

installed costs of a unit. Energy Storage offers more value to distribution cooperatives than G&Ts. Energy Storage is cost effective today when the right applications are

paired with an appropriate technology.

Energy Storage is essential to manage renewables.Co-ops likely to be early adopters.

Possible Risks and Cautions

Technologies are changing rapidly, so difficult to pick a winner

Promising technologies can fail due to corporation failings

If Energy Storage is sited for delaying T&D assets, it must be mobile to prevent being stranded in the future

Energy Storage Resources CRN partnering with Sandia National Lab and EPRI Revision of popular Handbook

– Application first, then technology

– Financial analysis tools

– RFP template

– Database of technologies

CRN to offer additional evaluation tools and sample RFPs as part of an “Energy Storage Toolkit.”

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Targeted release in 2012

Timely Energy Innovations

www.nreca.coop

Tom LovasNRECA/CRNArlington, [email protected]

Back-Up Slides

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Lithium-Ion & Lithium Titanate

Attribute Rating

Capital cost Fair at $600/kW-hr or $4200/kW-7 hours

Round-trip efficiency 90% to 95%

Lifetime in Cycle Life 4,000 to 16,000 deep cycles

Altair Nano 1 MW System

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Indianapolis Power & Light’s Altair Nano Lithium Titanate

2 MW/500 kW-h

EOS Energy Storage (Zinc Air)Attribute Rating

Capital cost Excellent at $160/kW-Hr or $2000/kW-7 hours

Round-trip efficiency ~65% to 70%

Lifetime in Cycle Life 2,000 to 10,000 deep cycles

Ultra-Capacitor1st Lighten the Load Inc.

Attribute Rating

Capital cost Excellent at $50/kW-hr to $150/kW-hr or $650/kW-7 hours to $1500/kW-7 hours

Round-trip efficiency ~90%

Lifetime in Cycle Life >>10,000 deep cycles

Xtreme Power’s Dynamic Power Resource Battery (Dry Cell)

Attribute Rating

Capital cost Fair at >$1000/kW-hr or ~$7000/kW-7 Hr

Round-trip efficiency

80% to 85%

Lifetime in Cycle Life

1,000 cycles at 100% DOD and 100,000 cycles at 20% discharge

Xtreme Power website

Dry Cell with proprietary formulas of fundamental alloys, such as copper, lead and tellurium

Premium Power Corp’s Zinc Bromide

Attribute RatingCapital cost Excellent at $270/kW-

hr or $2000/kW-7 hr

Round-trip efficiency

68% to 70%

Lifetime in Cycle Life

Est. 10,000 deep cycles

Premium Power Corp. TransFlow-2000 Modules

General Compression Isothermal Compressed Air Energy Storage (ICAES)

Sited in salt beds. Seasonal wind storage possible (100+ hours). Less than 1 second response.

Attribute RatingCapital cost Excellent at $1000/kW

for 10 hours and $10/kW-hr

Round-trip efficiency 75% to 80%

Lifetime in Cycle Life No known limitation in cycle life

ICAES Geologic Locations Relative to Class IV Wind Resources (in Blue)

General Compression