UC San Diego’s Subcontract Site Host Offer for CA Energy Commission’s PON 13-302 in

Energy Storage

William Torre, Program Dir., Energy Storage wtorre@ucsd.edu 1-858-692-2592

Byron Washom, Dir., Strategic Energy Initiatives bwashom@ucsd.edu 1-858-869-5805

May 16, 2014

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Outline of Webinar

• Introductions • Overview of CA Energy Commission’s Program

Opportunity Notice (PON) 13-302 • Overview of UC San Diego’s 42 MWp Microgrid

and Energy Storage Infrastructure • UCSD’s Subcontract Support Offer in PON 13-302 • Budget and Match Funding Considerations • Questions and Answers • Next Steps for Prime Contractors Interested in

UCSD Serving as a Pilot Testing Site Host

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Introduction of Presenters

• Byron Washom, Director, UCSD Strategic Energy Initiatives

• William Torre, Program Director, UCSD Energy Storage

• Command, Control, Comm & Cybersecurity (C4) – Kevin Meagher, CEO, Power Analytics – Dave Roberts, Director, OSIsoft

• Erich Gunther, CEO, EnerNex • Eric Cutter, Sr Analyst, E3 • Beth Reid, CEO, Olivine

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Introduction of Presenters

• Professor Jan Kleissl, UCSD • Professor Carlos Coimbra, UCSD • Margarita Ochoa, Fund Manager, UCSD • Sandy Rosas, Fund Manager, UCSD • Kevin Norris, Supervising Engineer, UCSD • John Dilliott, Manager Energy & Utilities,

UCSD

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UCSD’s Strategic Energy Initiatives Advisory Council to two Vice Chancellors

• Mason Willrich – 2 time and immediate past Chair of CAISO, former SVP of

PG&E and former CEO of PG&E Enterprises • James Greenberger, Execute Director

– Natl Alliance for Advanced Technology Batteries (NaatBatt) • Janice Lin, Executive Director

– CA Energy Storage Alliance (CESA) • Thomas Tansy, Chairman

– SunSpec Alliance • CAPT Clifford Maurer, USN (ret)

– Immediate past Commanding Officer NAVFAC SW

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PON 13-302: Developing Advanced Energy Storage Technology Solutions to Lower Costs and Achieve Policy Goals, Due 7/1/14

http://www.energy.ca.gov/contracts/PON-13-302/

• Projects must involve the development and pilot testing of pre-commercial, advanced energy storage technologies and systems that provide high-value and cost-effective relevance to the CPUC’s Use-Case Examples of Stand-Alone Energy Storage, specifically for the Ancillary Services and Load Following under the Generation/ Market Regulatory Function.

• The CEC has stated that the deployment of distributed energy resources coupled with advanced storage capability is necessary to meet the CPUC’s energy storage procurement targets of 1,325 MW energy storage by 2020. Attaining these energy storage targets is also critical for meeting the 33 percent by 2020 Renewable Portfolio Standard goal (required by SB X1-2) and for reducing greenhouse gas emissions to 1990 levels by 2020 (required by AB 32)

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OEM’s Technology Must [forecast] to Meet the CEC’s Projected Goals

• Reduce the capital cost of energy storage to: – less than $1,000/kW installed – less than $200/kWh installed – less than 15 cents/kWh/cycle (levelized)

• Improve energy storage system performance – system cycle efficiency to greater than 80% – system life to greater than 5,000 cycles

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PON’s References to “Pilot Testing” in the Context of the Word “Must”

• “Projects must involve the development and pilot testing of advanced energy storage technologies and systems that provide high-value, cost-effective ancillary services and load following for the CPUC’s energy storage use cases.”

• “Showing the operating value of energy storage as part of pilot testing, focusing on applicable revenue generating streams, value propositions and their monetization, and other benefits of energy savings and energy management.”

• “Projects must: involve the pilot testing of a complete storage system, including storage technology, power conditioning systems (e.g., smart inverters), product integration, and grid interconnection.”

• “The pilot test must include simulated real-time grid services.” • “Recipients must coordinate the pilot test with applicable stakeholders.” • “Pilot tests must be located within a California electric IOU service territory” • “The applicant must include a letter signed by an authorized representative

of the proposed test site that commits to providing the site for the proposed testing activities. Each letter meets the requirements of Attachment 11.” (This is a Stage I Pass/Fail Criteria per the PON.)

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Overview of UC San Diego’s 42 MWp Microgrid and Energy Storage Infrastructure

• Overview of Microgrid • Overview of Energy Storage Infrastructure • Overview of Specific Amenities regarding PON

13-302 – Including Scoring Criteria

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Overview of UCSD Microgrid • Self Gen >92% electricity, 95% heat and cooling (annual) • 2 Solar Gas fired turbines, with Heat Recovery

– 13.5 MW each – CHP is 66% efficient (EPA Energy Star Awardee)

• 3 MW Dresser Rand Steam Turbine • 3.8 million gallons chilled water storage • Three (3) steam driven chillers (~10,000 tons capacity) • Eight (8) electric driven chillers (~7,800 tons capacity) • 2.8 MW natural gas fired fuel cell (directed bio gas) • 2.0 MW of Photovoltaics • 3 MW/6 MWH energy storage in 2015 • 75 emergency backup generators • 9 PMUs

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Existing & Pending Energy Storage Testing & Deployment Projects at UCSD • 30 kW, 30 kWh Sanyo/Panasonic Li-Ion battery, integrated with 30 kW PV • 125 kW, 300 kWh, ZBB Zinc – Bromine Flow Battery – CA Solar Initiative

Demand reduction demonstration • 120 kW / 65 kWh 2nd life EV Battery Test Facility NREL- CCSE • 100 kW, 180 kWh BMW, demonstration of 2nd life EV batteries with Level

II EV Charging • 2.5 MW/5 MWh, Lithium Ion Advanced Energy Storage (Q1 2015) • 30 kW, Maxwell Labs, Ultracapacitors, Concentrating PV smoothing of

intermittency, coupled with solar forecasting • 3.8 Million Gallon Thermal Energy Storage • Pending & proposed projects:

– 730 kW, 1460 kWh PV Integrated, @ 5 off campus sites – Responded to ARPA-e Energy Storage Test Bed Notice of Interest – Site for a new 40’x8’ and 20’x8’ “Plug & Play” Energy Storage pads

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Panasonic/Sanyo PV Integration Storage Commissioned & Tested 30 KW / 30 kWh Lithium-ion Energy Storage

Configured in 20 cassettes 1.5 kW each

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Energy Storage Integrate with PV to Demonstrate Intermittency Smoothing

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Panasonic/Sanyo fully integrated 30 kW PV and 30 kWh electric energy storage

• Solar Forecasting System coupled to energy storage controls to mitigate intermittency

• Peak shaving to reduce the energy use/cost.

• Provide stable and efficient energy.

• Ancillary Function (emergency power back up for communication etc)

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Commissioning ZBB/Sunpower/DNV KEMA Flow Battery Demonstration Funded by CPUC/CSI

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• ZBB EnerStore V3 - 25 kW / 50 kWHh

• DC Efficiency up to 76% • Six units with 300 kWh

total capacity • Directly coupled with

60 kW of roof top PV • Control system

designed to reduce peak load demand requirements at East Campus Chiller Plant

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Repurposed (2nd Life) Electric Vehicle Battery Testing

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Testing four EV battery packs simultaneously with various duty cycles representing stationary storage applications

• 120 kW/ 60 kWh of total energy storage capacity

• Test stand linked to Microgrid control system and remotely controlled.

• Plug-in vehicle batteries degraded to 70-80% of original power or energy capacity are insufficient for automotive use

• These “retired” batteries may still be highly capable and could be low cost source for stationary energy storage applications

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2nd Life EV Battery Energy Storage Testing Stationary Energy Storage Applications

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Energy Storage Applications Electric Energy Time-shift Electric Supply Capacity Load Following Area Regulation Electric Supply Reserve Capacity Voltage Support Transmission Support Transmission Congestion Relief T&D Upgrade Deferral Substation On-site Power Time-of-use Energy Cost Management Demand Charge Management Electric Service Reliability Electric Service Power Quality Renewables Energy Time-shift Renewables Capacity Firming Wind Generation Grid Integration

Important Metrics per Duty Cycle 1)Annual operational days/hours 2)Number of cycles per given time period 3)Average DOD per cycle 4)Energy throughput per kWh of available capacity 5)Financial value per kWh 6)Value per kWh of available energy capacity and Crate

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BMW 2nd Use EV Battery Energy Storage

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Objective: Objective: Demonstrate the feasibility of integrating and controlling multiple 2nd life repurposed MINI E battery systems, with additional integration of PV solar array and the UCSD micro grid for a three year period. Research possibilities and value: • Investigate test applications and load

profiles. • Results will lead to better

understanding of different use cases and possible B2U scenarios

• Identify control issues related to managing multiple repurposed EV batteries with a different state of charge.

• First full scale energy storage system with repurposed EV batteries..

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UCSD Lithium Ion Bulk Energy Storage Project

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• 2.5 MW / 5 MWhr, bulk energy storage • Reduce Peak Campus demand energy cost production • Integrated with PV, fuel cell and campus cooling load

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Maxwell Labs Ultracapacitor Energy Storage

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Key Design Parameters • Phase I: 28 kW, 5 minute energy storage • Phase II: 250 kW, 5 minute energy storage • PV solar smoothing and firming, improve PV

ramping • Coupled with 28 kW Concentrated PV • Control Strategies to be tested • Solar predictive forecasting coupled with control

systems • Schedule: June, 2013 – Nov. 2015

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Coordinated Control and Dispatch of Distributed Energy Storage Resources To Maximize System Efficiency

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Master Microgrid Controller

2.5/ 5 Mwhr EnergyStorage System

Sanyo 30 kW/ 30 kWh Energy Storage

ZBB 100 kW/ 300 kWh Flow Battery

2nd Life EV Battery Test Stand

BMW B2U 108 kW/ 180 kWh

Maxwell 28 kW Ultra Caps

UCSD Campus Load and Generation Requirements

Solar Forecasting For PV Resource Prediction

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Summary of UCSD’s Energy Storage Program

• Largest and most diversified energy storage portfolio at any university in the world

• Centralized and Distributed intelligence to control energy storage fleet dispatch

• Campus energy cost savings potential significant • Living Laboratory for testing and determining the

benefits for various energy storage technologies • “Lab To Market” proven capability • Valuable research to aid integration of increasing

levels of renewables • Opportunity to realize benefits in a 42 MWp

microgrid operational setting

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Amenities at UCSD for Energy Storage OEMs Bidding on CEC PON-13-302

• 480 V AC, 3 φ grid intertie • Existing 20’ and 40’ grid

connected container pads • Possibility of New 480 V AC,

3 φ Pilot scale Lab space • Ethernet & Fiber optic

Communications systems • OSIsoft Pi Data Historian • Power Analytics Microgrid

Master Controller • Schneider SCADA System • Weekly VIP Tour Exposure

• Real Time Observability by CAISO (CEC funded) & OEMs

• Ongoing Cybersecurity tools and considerations

• Solar, Wind & Demand Forecasting Integration

• Self regulated CEQA & Permits • UCSD’s own Fire Marshall &

Electrical/Bldg Inspectors • “hard knocks” experience in

Test plans & Commissioning • Energy Storage Advisory

Council & Stakeholders • Available Match Funding • Experienced CEC Contractor

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Example of Collaboration: Energy Storage Fire Safety

• UCSD’s Fire Marshal will participate in DOE OE’s Strategic Plan for Energy Storage Safety that will Identify the current gaps in understanding, validating, standardizing and regulating safety in energy storage systems

• UCSD Fire Safety Resources will serve OEMs as collaborators designing and deploying energy storage – Direct participation by UCSD Fire Inspector – Direct participation by UCSD Fire Plan Inspector – Direct participation by UCSD Fire Marshal – Direct participation by Consultants to UCSD on Fire Safety

with an emphasis in energy storage devices

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PON 13-302 CEC Scoring Criteria Scoring Criteria Maximum

Points Technical Merit and Need 20 Technical Approach 20 Impacts and Benefits for California IOU Ratepayers 20 Team Qualifications, Capabilities, and Resources 10 Budget and Cost-Effectiveness 10 EPIC Funds Spent in California 15 Ratio of Direct Labor and Fringe Benefit Rates to Loaded Labor Rates

5

Match Funding (Optional) 10 Total Possible Points 110

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Proposal Scores Should be “Excellent” or “Exceptional” to be Competitive

% of Possible

Interpretation

Explanation for Percentage Points

80%

Good

• The response fully addresses the criteria with a good degree of confidence in the applicant’s response or proposed solution.

• There are no identified omissions, flaws, or defects. Any identified weaknesses are minimal, inconsequential, and acceptable.

90%

Excellent

• The response fully addresses the criteria with a high degree of confidence in the applicant’s response or proposed solution.

• The applicant offers one or more enhancing features, methods, or approaches that exceed basic expectations.

100%

Exceptional

• All criteria are addressed with the highest degree of confidence in the applicant’s response or proposed solution.

• The response exceeds the requirements in providing multiple enhancing features, a creative approach, or an exceptional solution.

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Fundamental Proposition from UCSD • For the OEMs capable of meeting the CEC’s cost and

performance goals, UCSD desires to collaborate as a subcontractor on three tasks that UCSD has identified as critical to accelerating and deepening market commercialization for energy storage in CA

• UCSD will provide a Commitment Letter as a site host subcontractor for lab pilot scale and/or 480 V AC, 3 φ microgrid inter-tied prototypes to conduct actual and simulated, real-time, ancillary services and load following grid services within a CA IOU territory that will be coordinated with applicable CA stakeholders.

• The OEM will also be offered the option to utilize UCSD’s strategic partners in the areas of CA ratepayer benefits analysis, economic optimization, and advanced renewable energy supply and demand forecasting

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UCSD’s Fundamental Strategy

• Assemble a California centric team of subcontractors that will enable an OEM prime contractor to propose “with the highest degree of confidence an innovative technology that exceeds the requirements in providing multiple enhancing features, a creative approach, or an exceptional solution”

• Provide all competitive OEMs a Budget & Cost Effectiveness where scarce CEC funding is spent on Applied R&D by leveraging UCSD’s existing infrastructure rather than “pouring concrete, pulling conduit and establishing communications” for the required short term pilot testing.

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OEM’s Basic & Optional Subtasks to UCSD In Serving as a CEC PON 13-302 Site Host

UCSD Lab & Microgrid Site Host Facility Lease for CEC

C4 Interties, Fire & Safety

Code & Stds Compliance

CAISO Interface & Mkt Reqmts

Renewable & Load

Forecasting

Ratepayer & Env

Benefits

Test Plan, Commission & Analysis

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Basic Plan - Funded Subtasks to UCSD

Optional Funded Subtasks to UCSD

Enernex UCSD

Kleissl & Coimbra

Olivine or equivalent

E3

UCSD

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CEC PON 302

OEM 1 OEM 2 OEM 3

UCSD Tier 1 Subcontractor

C4 Interties, Fire & Safety

Power Analytics Master Controller

OSIsoft Real Time & Data Historian

Schneider SCADA Cyber Security

UCSD Fire Marshal UCSD EH&S

Ethernet & Fiber Optics Comm

CAISO & OEM Observability

Code & Stds Compliance

Enernex Interoperability &

future proofing

UL Listing & Div 16000

No Local Permits Required on Campus

UCSD Plan Check & Inspectors

Test Plan, Commission,

Analysis, Tech Trans

Test Plan

SNL Commissioning

Analysis

Test Transfer & Public Outreach

CAISO Interface & Mkt Reqmts

(Olivine)

Ancillary Services

Load Following

Future Proofing

Renewable & Load Forecasting (Kleissl, Coimbra & Callafon)

Solar & Wind Forecasting

Demand Forecasting

Oscillation Mitigation

Ratepayer & Env Benefits (E3)

Benefits to CA Ratepayers

IPP and Utility Business Case

Flexibility and Renewable Integration

GHG and Criteria Pollutants

OEM 4 OEM 5

Optional Subtasks Assigned to UCSD & Their Subcontractors

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Power Analytics Microgrid Master Controller of Rancho Bernardo CA

An energy and power management software solution that integrates all utility, on-site generation, load resources and energy storage assets into a dynamic microgrid system model. • Monitors real-time power utilization, power quality,

capacity and all transactions between public electric services and microgrid infrastructure

• Provides controls, contingency management, energy and capacity optimization while maintaining high reliability and energy surety of the microgrid power network

• Calculates generation savings and assesses availability to preform the three key grid functions:

– Island from the grid – Reconnect to the grid – Run parallel with the grid

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OSIsoft PI Software of San Leandro CA

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EnerNex Storage & Standards Expertise, A CA Business Enterprise

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• Energy storage technical and economic assessments – Economic value of storage & ROI including ancillary services – Technical merit of storage to counter DER ramps – Using storage as backup during outages

• Energy storage/renewable integration studies

• SANDIA/DOE/NYSERDA Energy Storage Data Acquisition

• Led the award winning Smart Grid Interoperability Panel (SGIP) standards acceleration effort

EnerNex Interoperability & Standards

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EnerNex specializes in Power Systems and Grid Modernization analyses, engineering, research, project management and standards

Storage Dispatch Modeling E3 of San Francisco CA

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2.4 x increase

Value of avoided renewable curtailment is crucial to value of energy storage

Annual cycle count by depth of discharge with co-optimized dispatch

EPRI/E3 Energy Storage Valuation Tool

UC San Diego PON 13-302

Olivine of San Ramon CA • Develop Characteristics of

Aggregated Resources • Respond to Price and Dispatch

Signals • Operational Parameters and

Requirements • Olivine Finds Real Solutions . . .

– Flexibility to deal with a rapidly changing environment

– Methodology to target specific needs

– Collaborative approach – Customized capabilities – Cost effective interfaces

• We provide . . . – Technology solutions – Consulting services – Scheduling Coordinator

Services & Market operations • We focus on . . .

– Demand Response & Energy Efficiency

– Energy Storage – Emerging Technologies – Renewables

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Olivine’s Services in the CAISO Market

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UCSD: Solar, Wind & Demand Forecasting Integration with Battery Management System (BMS)

COIMBRA ENERGY GROUP

UNIVERSITY OF CALIFORNIA SAN DIEGO

• > 5 years experience in operational solar, wind, and demand forecasting

• Dense and high quality solar resource instrumentation preexisting

• High-fidelity forecasts over any time horizon, e.g.: • 10 minutes: ramp smoothing • 24 hours: demand charge management, peak

shifting • Flexible interface to BMS.

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10 min Solar Forecast Model

GHI(t-△t) CI(i) CI(t)

ANN based forecast engine

GA optimization GHI(t+△t)

Main steps of the image processing method: a) b) Consecutive image pair. c) Projection onto a rectangular grid. Velocity

vectors through PIV algorithm. d) Cloud classification: white pixels represent

cloud, grey pixels represent clear sky, and black pixels are obstacles.

Grid cloud fraction method ANN based GHI forecast

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OEM’s Basic & Optional Subtasks to UCSD In Serving as a CEC PON 13-302 Site Host

UCSD Lab & Microgrid Site Host Facility Lease for CEC

C4 Interties, Fire & Safety

Code & Stds Compliance

CAISO Interface & Mkt Reqmts

Renewable & Load

Forecasting

Ratepayer & Env

Benefits

Test Plan, Commission & Analysis

39

Basic Plan - Funded Subtasks to UCSD

Optional Funded Subtasks to UCSD

Enernex UCSD

Kleissl & Coimbra

Olivine or equivalent

E3

UCSD

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Budget & Match Funding

• CEC Considerations – $5M for Part 2 with possibility of additional funding – Minimum of $1M/award – Maximum of $3M/award – Match Funding NOT Required BUT

• Proportional 5 bonus points for % of Match Funding • Additional 5 bonus points based upon subjective criteria

• UCSD and its Strategic Partners have a potential to match funding

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Match Funding Criteria (10 pts)

• Each match funding contributor must submit a commitment letter that meets the requirements. Failure to meet these requirements will disqualify the proposal from consideration for match funding points.

• Any match funding pledged must be consistent with the amount or dollar value described in the commitment letter(s) Failure to meet this requirement will disqualify the proposal from consideration for match funding points. – 5 points for this criterion will be awarded based on the percentage of

match funds relative to the EPIC funds requested. This ratio will be multiplied by 5 to yield the points, and rounded to the nearest whole number.

• For example: If requested EPIC funds are $1,000,000 and match funds are $500,000, the match funding ratio is 0.50. The proposal will be awarded 3 points (5 x 0.50 = 2.5, rounded to the nearest whole number = 3).

– The remaining 5 points for this criterion will be based on the level of commitment, dollar value justification, and funding replacement strategy described in the match funding commitment letter. The proposal scoring scale will be used to evaluate these criteria.

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Conditions for UCSD Subcontracting

• Assessment of Meeting the CEC’s Goals & Objectives in PON 13-302

• Review & Acceptance by OEM of UCSD’s Short Term, Standard Land Lease Agreement

• Provisions for – Fire Suppression System – UL Certification – Upgrades (if any) to testing sites at OEM’s expense

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Next Steps

• Key Dates – CEC Issues Responses to Questions: ~May 8, 2014 – Teaming Arrangements Finalized: May 30, 2014 – All UCSD Input Delivered: June 16, 2014 – CEC Deadline for Proposal Delivery: 7/1/2014

• Non Disclosure Agreements (no confidential information is permitted in the proposals)

• One-on-One Discussions of Teaming • Input Required for Proposal’s Attachments

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UCSD will Supply OEMs with Input for the Required Attachments

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Attachment # Title Input Pages

2 Executive Summary .3/2

3 Fact Sheet .5/3

4 Project Narrative < 2/10

5 Project Team 3 x # of subs

6 Scope of Work 1-2 pages x # subs

7 Budget As Required

8 CEQA Compliance Form 6

9 References and Work Product 2 x # of Subs

10 Contact List 3 x # of Subs

11 Commitment and Support Letters 15 x 1

Questions and Answers

• Live Procedure via ReadyTalk – Use the “Raise Hand” button and your telephone

line will be unmuted to pose your question – Use the “Chat” function to relay technical

difficulties while your phone is muted • Follow up Questions by May 23rd to:

– William Torre wtorre@ucsd.edu and cc to – Byron Washom bwashom@ucsd.edu

• Posting of Generic Q&A on UCSD’s Website

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Contact Information

• Questions and Expressions of Interests – William Torre, Program Dir., Energy Storage

• wtorre@ucsd.edu 1-858-692-2592

– Byron Washom, Dir., Strategic Energy Initiatives • bwashom@ucsd.edu 1-858-869-5805

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Recognition of UCSD’s Microgrid • Clean Energy States Alliance awarded the CA Energy Commission in 2012 the State Leadership In Clean Energy (SLICE) for their funding to UCSD for the Renewable Energy Secure Community (RESCO) grant. The award citation read, “This program [UCSD Microgrid] is a solid example of what could and should be done at a public university around RD&D and implementation of renewable energy technology; it demonstrates how renewable energy technologies can be used and provides valuable insights on how to advance the concept. We need advanced thinking and leadership like this to advance new technologies and gain valuable experience and learning.”

• The microgrid at UCSD was the site host for the International Microgrid Symposium (2009), DOE Microgrid Planning Workshop (2011), the DOE/CPUC Forum on High Solar Penetration (2011, 2013).

• Both the Rocky Mountain Institute RMI_Video and the CEC/US Navy CEC Video have posted short videos touting the UCSD microgrid as “best in class” 5/16/2014 48 UC San Diego PON 13-302

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2.8 MW Fuel Cell supplies 10% of baseload power with directed biogas renewable fuel