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Utility-Scale Solar 2015 An Empirical Analysis of Project Cost, - - PowerPoint PPT Presentation

Utility-Scale Solar 2015 An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States Mark Bolinger & Joachim Seel Lawrence Berkeley National Laboratory August 2016 This research was supported by funding


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SLIDE 1

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Utility-Scale Solar 2015

An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States

Mark Bolinger & Joachim Seel Lawrence Berkeley National Laboratory August 2016

This research was supported by funding from the U.S. Department of Energy’s SunShot Initiative.

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SLIDE 2

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Part of broader solar work in the Electricity Markets and Policy Group

 Solar Cost-Related Work:

 Annual solar “state of the market” reports

  • Residential/commercial systems: http://trackingthesun.lbl.gov
  • Large ground-mounted systems: http://utilityscalesolar.lbl.gov

 Derivative analyses (e.g., Academic Partnership Program)

 Renewable Energy Valuation and Grid Integration  Rate-Design Impacts on the Economics and Deployment of DPV  Impact of DPV on Traditional Utility Business Models  Impact of Utility-Scale and Distributed PV on Real Estate Assets  Technical Assistance and Policy Evaluations (e.g., RPS analyses)

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SLIDE 3

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Presentation Outline

Strong growth of the utility-scale solar market offers increasing amounts of project-level data that are ripe for analysis.

  • 1. Introduction and description of broader technology trends
  • 6. Future outlook

3

Key findings from analysis of the data samples (We discuss PV projects first, then focus on CSP projects):

2.

Installed project prices

3.

Operation and maintenance (O&M) costs

4.

Performance (capacity factors)

5.

Power purchase agreement (“PPA”) prices

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SLIDE 4

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Utility-scale projects have the greatest capacity share in the U. S. solar market

 Utility-scale solar had a 57% capacity share of 2015 installations and a 54% share of

cumulative installations at the end of 2015

4 Sources: GTM / SEIA Solar Market Insight Reports, LBNL Database

We define “utility-scale” as any ground-mounted project that is larger than 5 MWAC Smaller systems are analyzed in LBNL’s “Tracking the Sun” series.

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SLIDE 5

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Drivers of the utility-scale market: RPS

 RPS has historically been

a significant driver of utility-scale solar, particularly in the Southwest and Northeast

 Recent RPS expansions

(e.g., in CA, OR) will ensure future RPS relevance for utility-scale solar markets

 Increasingly, utility-scale

solar expansion into non- RPS states (Southeast) or continued deployment where RPS goals have been reached (e.g., Texas)

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WI: 10% by 2015 NV: 25% by 2025 TX: 5,880 MW by 2015 PA: 8.5% by 2020 NJ: 22.5% by 2020 CT: 23% by 2020 MA: 11.1% by 2009 +1%/yr ME: 40% by 2017 NM: 20% by 2020 (IOUs) 10% by 2020 (co-ops) CA: 50% by 2030 MN: 26.5% by 2025 Xcel: 31.5% by 2020 IA: 105 MW by 1999 MD: 20% by 2022 RI: 16% by 2019 HI: 100% by 2045 AZ: 15% by 2025 NY: 30% by 2015 CO: 30% by 2020 (IOUs) 20% by 2020 (co-ops) 10% by 2020 (munis) MT: 15% by 2015 DE: 25% by 2025 DC: 20% by 2020 WA: 15% by 2020 NH: 24.8% by 2025 OR: 50% by 2040 (large IOUs) 5-25% by 2025 (other utilities) NC: 12.5% by 2021 (IOUs) 10% by 2018 (co-ops and munis) IL: 25% by 2025 VT: 75% by 2032 MO: 15% by 2021 OH: 12.5% by 2026 MI: 10% by 2015

Source: LBNL RPS Report 2016 Source: GTM 2016: The Next Wave of Utility-Solar

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SLIDE 6

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Non-RPS drivers of utility-scale solar

 Voluntary Procurement:

 3rd party-ownership with competitive PPA deals (+ Hedge Value)  Utility-Owned Generation (Florida Power & Light, Georgia Power, Dominion,

Duke, PNM)  PURPA (“avoided cost” rates for “Qualifying Facilities”)

 e.g., North Carolina (~2700 MW), Utah (~700 MW), Idaho (~500 MW), Oregon  Potential for boom and bust cycles

 Retail Procurement

 Green tariffs / community solar  Direct access (e.g., Apple 130 + 150 MW California Flats PPA)  Community Choice Aggregation

 Merchant Solar

 e.g., Barilla Solar in Texas

 Clean Power Plan???

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SLIDE 7

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

PV projects

7 Photo Credit: sPower SEPV Palmdale East

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SLIDE 8

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

PV project population broken out by tracking vs. fixed-tilt, module type, and installation year

 2015 Trends:

 Strong growth in c-Si capacity (81%) relative to thin-film capacity (19%), driven in part by the completion of the

very large Solar Star project (594 MWAC). Largest c-Si manufacturers are SunPower (33% of c-Si market), Trina (20%), and Jinko (16%), while the thin-film market is dominated by First Solar (93% of the installed capacity).

 Increasing dominance of tracking projects (70% of newly installed capacity) relative to fixed-tilt projects (30%)

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PV project population: 278 projects totaling 9,016 MWAC

1,502 2,823 3,709 915 640 201 1,631 334 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 2007-2009 2010 2011 2012 2013 2014 2015 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500

Cumulative Capacity Additions (MWAC) Installation Year Annual Capacity Additions (MWAC)

Tracking Thin-Film Tracking c-Si Fixed-Tilt Thin-Film Fixed-Tilt c-Si Cumulative Tracking Capacity is 4,684 MW (52%)

(incl. hybrid projects with both thin-film and c-Si modules)

Cumulative Fixed-Tilt Capacity is 4,325 MW Columns represent annual capacity additions Areas represent cumulative capacity additions Cumulative c-Si Capacity is 5,211 MW (58%) Cumulative Thin-Film Capacity is 3,738 MW

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SLIDE 9

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Historically heavy concentration in the Southwest and mid-Atlantic, but now spreading to Southeast

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Primarily fixed-tilt c-Si projects in the East Tracking (c-Si and, increasingly, thin- film) is more common in the Southwest

State Cumulative Capacity MW-AC % 2015 2014 CA 56% 59% AZ 13% 17% NV 7% 5% NC 6% 2% TX 3% 3%

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SLIDE 10

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Utility-scale PV continues to expand beyond California and the Southwest

 Strong percentage growth outside the established markets:

 North Carolina (quadrupling previous capacity with 15 new projects)  Georgia (nearly tripling previous capacity with 6 new projects totaling 177 MWAC)  Nevada (more than doubling previous capacity with 4 new projects totaling 349 MWAC)

10 25% 25% 69% 76% 47% 51% 46% 55% 20% 16% 25% 41% 29% 19% 11% 8% 28% 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 <=2010 2011 2012 2013 2014 2015

Cumulative PV Capacity Additions (MWAC) Annual PV Capacity Additions (MWAC)

Installation Year

All Other States Southwest (NV, UT, AZ, NM, CO) California Columns represent annual capacity additions Areas represent cumulative capacity additions

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SLIDE 11

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

The eastward expansion is reflected in the buildout

  • f lower-insolation sites

Historical trend of increasing solar resource quality for the average project site did not continue in 2015 – the first year where the Global Horizontal Irradiance declined

The wide 80/20 distribution of fixed-tilt PV reflects deployment throughout the US, whereas tracking PV is concentrated more in the high-GHI Southwest. However, 2015 shows an expansion of tracking into less-sunny areas (note the decline in the 20% percentile)

All else equal, higher GHI should boost sample-wide capacity factors (reported later). The effects of the lower GHI for new 2015 projects will be evaluated in next year’s report once they have been operational for a full year

11 5.01 5.39

5.28

3 4 5 6 2010 n=10 (175 MW-AC) 2011 n=35 (485 MW-AC) 2012 n=43 (946 MW-AC) 2013 n=38 (1,344 MW-AC) 2014 n=64 (3,166 MW-AC) 2015 n=83 (2,824 MW-AC)

Annual GHI (kWh/m2/day) Installation Year Fixed-Tilt PV Tracking PV All PV Markers represent capacity-weighted averages, with 20th and 80th percentiles.

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SLIDE 12

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

The average inverter loading ratio (ILR) has increased over time, to 1.31 in 2015

12 1.33 1.31

1.31

1.0 1.1 1.2 1.3 1.4 2010 n=10 (175 MW-AC) 2011 n=35 (485 MW-AC) 2012 n=43 (946 MW-AC) 2013 n=38 (1,344 MW-AC) 2014 n=64 (3,166 MW-AC) 2015 n=83 (2,824 MW-AC)

Inverter Loading Ratio (ILR) Installation Year

Fixed-Tilt PV Tracking PV All PV

Markers represent capacity-weighted averages, with 20th and 80th percentiles.

As module prices have fallen (faster than inverter prices), developers have oversized the DC array capacity relative to the AC inverter capacity to enhance revenue

Fixed-tilt PV generally has a higher average ILR than tracking PV (fixed-tilt has more to gain from boosting ILR), dip in 2014 is skewed by several very large projects

The apparent decline in the capacity-weighted average ILR from 2013 to 2014 is related to several large projects – the median ILR held nearly constant in 2014

All else equal, a higher ILR should boost sample-wide capacity factors (reported later)

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SLIDE 13

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Median installed price of PV has fallen steadily, by nearly 60%, to around $2.7/WAC ($2.1/WDC) in 2015

13 1 2 3 4 5 6 7 8 9 10 2007-2009 n=5 (75 MW-AC) 2010 n=10 (175 MW-AC) 2011 n=29 (428 MW-AC) 2012 n=39 (895 MW-AC) 2013 n=34 (1,287 MW-AC) 2014 n=59 (3,050 MW-AC) 2015 n=64 (2,135 MW-AC)

Installed Price (2015 $/W) Installation Year

Capacity-Weighted Average (DC) Median (DC) Individual Projects (DC) Capacity-Weighted Average (AC) Median (AC) Individual Projects (AC)

Installed prices are shown here in both DC and AC terms, but because AC is more relevant to the utility sector, all metrics used in the rest of this slide deck are expressed solely in AC terms

The lowest 20th percentile fell from $2.3/WAC ($1.8/WDC) in 2014 to $2.2/WAC ($1.6/WDC) in 2015

Capacity-weighted average prices were pushed higher in 2014 and 2015 by several very large projects that had been under construction for several years (but only entered our sample once complete)

This sample is backward-looking and may not reflect the price of projects built in 2016/2017

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SLIDE 14

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Pricing distributions have continuously moved towards lower prices over the last 4 years

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Not only pricing medians but also pricing modes have continued to fall (moving towards the left) each year

Share of relatively high-cost systems decreases steadily each year while share of low-cost systems increases

Interquartile price spread is the smallest in 2015, pointing to a reduction in underlying heterogeneity of prices across all installed projects

0% 5% 10% 15% 20% 25% 30% 35% 40% 45% >= $1.25 < $1.75 >= $1.75 < $2.25 >= $2.25 < $2.75 >= $2.75 < $3.25 >= $3.25 < $3.75 >= $3.75 < $4.25 >= $4.25 < $4.75 >= $4.75 < $5.25 >= $5.25 < $5.75 >= $5.75 < $6.25

Installed Price Interval ($2015/WAC)

2015 n=64 (2,135 MW-AC) 2014 n=59 (3,050 MW-AC) 2013 n=34 (1,287 MW-AC) 2012 n=39 (895 MW-AC)

Project Share of Annual Price Sample

Sample Statistics for each Installation Year:

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SLIDE 15

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Installed price decline led primarily by c-Si

Pricing has converged among the various mounting/module configurations over time

The two CPV projects built in 2011 and 2012 were priced similar to PV at the time, while the 2014 CPV project was at the very low end of price distributions (unfortunately, no price data was available for the new 2015 C7 project)

15 1 2 3 4 5 6 7 8 9 2007-2009 n=5 (75 MW-AC) 2010 n=10 (175 MW-AC) 2011 n=29 (428 MW-AC) 2012 n=39 (895 MW-AC) 2013 n=34 (1,287 MW-AC) 2014 n=59 (3,050 MW-AC) 2015 n=64 (2,135 MW-AC)

Installed Price (2015 $/WAC) Installation Year Fixed-Tilt c-Si Tracking c-Si Fixed-Tilt Thin-Film Tracking Thin-Film CPV All PV Markers represent medians, with 20th and 80th percentiles.

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SLIDE 16

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Tracking projects command a premium of $0.3/WAC

Not surprisingly, tracking appears to be slightly more expensive than fixed-tilt

New EIA summary statistics from project-level data for 2013 consistent with LBNL medians

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2.5 2.8

1 2 3 4 5 6 7 8 9 2007-2009 n=5 (75 MW-AC) 2010 n=10 (175 MW-AC) 2011 n=29 (428 MW-AC) 2012 n=39 (895 MW-AC) 2013 n=34 (1,287 MW-AC) 2014 n=59 (3,050 MW-AC) 2015 n=64 (2,135 MW-AC)

Installed Price (2015 $/WAC) Installation Year Fixed-Tilt, all modules Tracking, all modules EIA Fixed-Tilt Estimate 2013 EIA Tracking Estimate 2013 All PV Markers represent medians, with 20th and 80th percentiles.

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SLIDE 17

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

2015 project sample does not reflect economies of scale

Modular/scalable “power block” solutions from manufacturers like SunPower and First Solar may have already wrung out most of the cost savings otherwise available to larger projects.

Potential savings may not fully be passed through from EPCs to developers, or procurement savings may occur at the portfolio rather than project level

Several of the 100+ MW projects have been under construction for several years, possibly reflecting a higher-cost past. We find a correlation between increased COD-PPA lag and higher project prices (additional year of lag time results in premium of $0.5/WAC). Larger projects may face greater development, regulatory, interconnection costs that outweigh any economies of scale.

17 1 2 3 4 5 5-10 MW n=12 (108 MW-AC) 10-20 MW n=30 (475 MW-AC) 20-100 MW n=19 (853 MW-AC) 100-1,000 MW n=3 (699 MW-AC)

Installed Price (2015 $/WAC) Project Size (MWAC)

All PV Fixed-Tilt c-Si Tracking c-Si Fixed-Tilt Thin-Film Tracking Thin-Film

Markers represent medians, with 20th and 80th percentiles. Figure only includes 2015-vintage projects.

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SLIDE 18

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Project prices vary by region

 Price differences driven in part by technology ubiquity (higher-priced tracking

projects are more prevalent in the Southwest and California)

 Other factors may include labor costs and share of union labor, land costs, soil

conditions or snow load, and balance of supply and demand

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Southwest

NV, UT, CO, AZ, NM

Southeast

AR, TN, MD, NC, GA

Northeast

NJ, MA

Not included

HI, IN, TX 3.2 3.0 2.3 2.5 2.9 2.7 2.3 2.3 1 2 3 4 California n=53 (3,419 MW-AC) Northeast n=12 (105 MW-AC) Southeast n=28 (700 MW-AC) Southwest n=21 (736 MW-AC)

Installed Price (2015 $/WAC) Select Regions of the United States 2014 median prices 2015 median prices U.S. national median 2015

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SLIDE 19

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Bottom-up models roughly consistent with LBNL’s top-down findings

Prices presented here in DC terms, to be consistent with how presented by NREL, BNEF, GTM

LBNL’s top-down empirical prices are fairly close to modelled bottom-up prices

GTM project represents only turn-key EPC costs and excludes permitting, interconnection, transmission, developer

  • verhead, fees, and profit margins

Difficult to ensure consistency of scope in cost categories and time horizon (under construction vs. operation date)

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0.65 0.65 0.65 0.66 0.67 0.65 0.65 0.65 0.67 0.11 0.11 0.11 0.11 0.14 0.11 0.11 0.11 0.14 0.32 0.33 0.33 0.27 0.21 0.38 0.39 0.39 0.33 0.39 0.41 0.60 0.75 0.18 0.44 0.47 0.67 0.21 0.31 0.36 0.40 0.20 0.24 0.33 0.39 0.43 0.31 1.78 1.86 2.09 1.99 1.44 1.91 2.00 2.25 1.66 LBNL Fixed-Tilt 2.01 LBNL Tracking 2.10 $0.0 $0.5 $1.0 $1.5 $2.0 $2.5 NREL 2015 100 MW-DC National Average Non-Union Labor NREL 2015 25 MW-DC National Average Non-Union Labor NREL 2015 25 MW-DC National Average Union Labor BNEF 2015 Unknown Size California GTM 2015 10 MW-DC California EPC Only NREL 2015 100 MW-DC National Average Non-Union Labor NREL 2015 25 MW-DC National Average Non-Union Labor NREL 2015 25 MW-DC National Average Union Labor GTM 2015 10 MW-DC California EPC Only Fixed-Tilt Tracking

Project Cost or Price (2015 $/W-DC)

Other (Developer Overhead + Margin, Contingencies, Sales Tax) Design, EPC, Labor, Permitting, Interconnection, Transmission, Land Tracker / Racking, BOS Inverter Module

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Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

O&M cost data still very thin, but largely consistent with early years of cost projections

 Only a few utilities

report solar O&M costs (see table), slow emergence of project-specific O&M costs

 O&M costs appear

to be declining over time (as fleet size increases), to $15.6/kW-yr and $7.3/MWh

 Cost range among

utilities continues to be large

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30.6 29.3 28.1 18.0 15.6 19.0 14.1 13.7 8.3 7.3 4 8 12 16 20 24 28 10 20 30 40 50 60 70 2011 2012 2013 2014 2015

2015 $/MWh 2015 $/kWAC-yr

FPL CSP ($/kW-yr) Mean of all PV projects ($/kW-yr) Mean of all PV projects ($/MWh)

Whiskers represent least and most expensive utility Year PG&E PNM APS * FP&L MW-AC project # MW-AC project # MW-AC project # MW-AC project # 2011 #N/A #N/A #N/A #N/A 51 3 110 3 2012 50 3 8 2 96 4 110 3 2013 100 6 30 4 136 6 110 3 2014 150 7 55 7 168 7 110 3 2015 150 7 95 11 191 9 110 3 predominant technology Fixed-Tilt c-Si 4 fixed-tilt / 3 tracking thin-film, 4 tracking c-Si primarily tracking c-Si mix of c-Si and CSP

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SLIDE 21

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

25.7% average sample-wide PV net capacity factor, but with large project-level range (from 15.1%-35.7%)

Project-level variation in PV capacity factor driven by:

Solar Resource (GHI): Highest resource quartile has ~8 percentage point higher capacity factor than lowest

Tracking: Adds ~4 percentage points to capacity factor on average across all four resource quartiles

Inverter Loading Ratio (ILR): Highest ILR quartiles have ~4 percentage point higher capacity factor than lowest

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0% 5% 10% 15% 20% 25% 30% 35% 40% 1 ILR 2 ILR 3 ILR 4 ILR 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 Fixed-Tilt Tracking Fixed-Tilt Tracking Fixed-Tilt Tracking Fixed-Tilt Tracking 1st Quartile Solar Resource 2nd Quartile Solar Resource 3rd Quartile Solar Resource 4th Quartile Solar Resource

Cumulative Net AC Capacity Factor Simple Mean Individual Project

9 projects, 106 MW 6 projects, 87 MW 8 projects, 83 MW 4 projects, 67 MW 3 projects, 36 MW 3 projects, 45 MW 7 projects, 101 MW 2 projects, 40 MW 8 projects, 116 MW 4 projects, 113 MW 10 projects, 269 MW 1 project, 23 MW 6 projects, 725 MW 6 projects, 87 MW 7 projects, 89 MW 13 projects, 606 MW 2 projects, 19 MW 12 projects, 135 MW 5 projects, 98 MW 2 projects, 38 MW 1 project, 242 MW 7 projects, 513 MW 5 projects, 84 MW 10 projects, 115 MW 4 projects, 596 MW 7 projects, 984 MW 5 projects, 98 MW 7 projects, 283 MW 1 project, 18 MW 4 projects, 72 MW

Sample includes 170 projects totaling 5,907 MWAC that came online from 2007-2014

ILR Quartile ILR Quartile ILR Quartile ILR Quartile ILR Quartile ILR Quartile ILR Quartile ILR Quartile

1 project, 20 MW

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SLIDE 22

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

For those who prefer to think geographically rather than in terms of insolation quartiles…

 Not surprisingly, capacity factors are highest in California and the Southwest, and lowest in the

Northeast and Midwest (with the Southeast and Texas in between)

 Although sample size is small in some regions, the greater benefit of tracking in the high-insolation

regions is evident, as are the greater number of tracking projects in those regions

22 17.5% 18.3% 20.2% 20.1% 25.6% 25.6% 18.7% 19.9% 21.9% 22.7% 29.5% 30.6% 0% 5% 10% 15% 20% 25% 30% 35% Northeast Midwest Southeast Texas Southwest California Average Cumulative Net AC Capacity Factor

Fixed-Tilt Tracking

16 projects, 173 MW 1 project, 6 MW 8 projects, 86 MW 2 projects, 16 MW 13 projects, 179 MW 6 projects, 101 MW 1 project, 14 MW 7 projects, 151 MW 14 projects, 819 MW 38 projects, 773 MW 27 projects, 2,128 MW 37 projects, 1,462 MW

Regions are defined in the map on slide 9

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SLIDE 23

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

More recent PV project vintages have higher capacity factors on average

 Higher capacity factors by vintage driven by an increase in tracking (most notably in 2011 and 2014),

average inverter loading ratio (in every year), and long-term global horizontal irradiance at project sites (in 2011 and 2013)

 The fact that single-year 2015 capacity factors (blue columns) show same trend as cumulative

capacity factors (orange columns) suggests that inter-year resource variation is not much of a driver

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21.0% 23.4% 24.1% 26.8% 26.7% 22.1% 24.2% 24.6% 27.1% 26.7% 0% 5% 10% 15% 20% 25% 30% 2010 Vintage 2011 Vintage 2012 Vintage 2013 Vintage 2014 Vintage 7 Projects 32 Projects 36 Projects 48 Projects 41 Projects 144 MW-AC 464 MW-AC 891 MW-AC 1,728 MW-AC 2,597 MW-AC 2015 Cumulative

Mean Net AC Capacity Factor

Mean ILR = 1.17 14% Tracking Mean GHI = 4.97 Mean ILR = 1.23 50% Tracking Mean GHI = 5.07 Mean ILR = 1.18 53% Tracking Mean GHI = 5.15 Mean ILR = 1.28 54% Tracking Mean GHI = 5.30 Mean ILR = 1.30 61% Tracking Mean GHI = 5.28

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SLIDE 24

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Performance degradation is difficult to assess at the project-level, due to modest impact

 Over the 8-year period shown in the graph, a degradation rate of 0.5%/year would reduce a 30%

capacity factor to 29%—a modest decline that could easily be swamped by inter-year variation in the strength of the solar resource

 Though degradation is no doubt present in the graph above, the 2013-2015 decline (evident among

Western projects in particular) is more likely attributable to below-normal summer insolation

24 15% 16% 17% 18% 19% 20% 21% 22% 23% 24% 25% 26% 27% 28% 29% 30% 31% 2008 2009 2010 2011 2012 2013 2014 2015 Net AC Capacity Factor Calendar Year NV CO CO CA NV NM NV FL FL IL FL TX OH

Graph shows a time series of capacity factors by calendar year for the 13 projects in our sample that have been

  • perating for at

least 5 (and for as many as 8) years

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SLIDE 25

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Earlier regression analysis offers additional insights into sources of net capacity factor gains

Graph progresses from a 2007 fixed-tilt project with average GHI and ILR (on the far left) to a 2013 fixed- tilt project with a higher GHI and ILR (in the middle) to a 2013 tracking project with the same higher GHI and ILR (on the far right).

25

More information at: https://emp.lbl.gov/publications/maximizing-mwh-statistical-analysis

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SLIDE 26

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Combination of falling installed prices and better project performance enables lower PPA prices

 PPA prices are levelized over the full

term of each contract, after accounting for any escalation rates and/or time-of-delivery factors, and are shown in real 2015 dollars

 Top graph shows the full sample;

bottom graph shows a sub-sample

  • f PPAs signed in 2014 or 2015

 CA and the Southwest dominate the

sample, but 2014 and 2015 saw a broadening of the market to TX, AR, AL, FL—and even MN and MI

 Strong/steady downward price

trend since 2006 to <50$/MWh in 2015

 Smaller projects (e.g., 20-50 MW)

seemingly no less competitive

 >75% of the sample is currently

  • perational

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$0 $50 $100 $150 $200 $250 Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16

PPA Execution Date

California Southwest Texas Southeast Midwest

Levelized PPA Price (Real 2015 $/MWh)

550 MW 210 MW 50 MW

4 of 5 regions now have PPA prices <$50/MWh (Midwest <$60/MWh) Sample includes 136 contracts totaling 9.1 GWAC

$0 $10 $20 $30 $40 $50 $60 $70 $80 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15

PPA Execution Date California Southwest Texas Southeast Midwest Levelized PPA Price (Real 2015 $/MWh)

150 MW 45 MW

Sample includes 40 contracts totaling 2,562 MWAC that were priced in 2014 or 2015

7 MW 100 MW

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SLIDE 27

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

On average, levelized PPA prices have fallen by nearly 75% since 2009

 Top figure presents the same data as

previous slide, but in a different way: each circle is an individual contract, and the blue columns show the average levelized PPA price each year

 Remarkably steady downward trend in

the average PPA price over time has slowed in recent years as average prices approached and then fell below $50/MWh

 Price decline over time is more erratic

when viewed by commercial operation date (orange columns in bottom graph) rather than PPA execution date (blue columns)

 Though the average levelized price of

PPAs signed in 2015 is ~$40/MWh, the average levelized PPA price among projects that came online in 2015 is significantly higher, at ~$85/MWh

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50 100 150 200 250 2006 1 7 2007 1 5 2008 3 770 2009 16 1,030 2010 26 1,640 2011 16 1,584 2012 14 931 2013 19 568 2014 16 918 2015 24 1,644

Generation-Weighted Average Individual Contract

PPA Year: Contracts: MW: Levelized PPA Price (Real 2015 $/MWh) $0 $50 $100 $150 $200 $250 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Generation-weighted average based on the year in which commercial operation was fully achieved Generation-weighted average based on the year in which the PPA was executed Levelized PPA Price (Real 2015 $/MWh) 2016 is provisional

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SLIDE 28

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

PV PPA prices generally decline over time in real dollar terms, in contrast to fuel cost projections

 ~70% of PV sample has flat annual

PPA pricing (in nominal dollars), while the rest escalate at low rates

 Thus, average PPA prices decline

  • ver time in real dollar terms (top

graph)

 Bottom graph compares 2015-

vintage PPA prices to range of gas price projections from AEO 2016, showing that…

 …although PV is currently priced

higher than the cost of burning fuel in a combined-cycle unit, over longer terms PV is likely to be more competitive, and can help protect against fuel price risk

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$0 $50 $100 $150 $200 $250 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 2042 2044 2046 2048 2050 Gen-Weighted Average PPA Price (2015 $/MWh)

2006 (7 MW, 1 PPA) 2009 (1,030 MW, 16 PPAs) 2008 (770 MW, 3 PPAs) 2010 (1,640 MW, 26 PPAs) 2011 (1,584 MW, 16 PPAs) 2012 (931 MW, 14 PPAs) 2013 (568 MW, 19 PPAs) 2014 (918 MW, 16 PPAs) 2007 (5 MW, 1 PPA) 2015 (1,644 MW, 24 PPAs)

10 20 30 40 50 60 70 80 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 Overall range of AEO 2016 gas price projections (converted to $/MWh terms) AEO 2016 reference case gas price projection (converted to $/MWh terms) Generation-weighted average PV PPA price over time Median PV PPA price (and 20th/80th percentile error bars) over time

2015 $/MWh PV PPA sample includes 24 contracts priced in 2015, totaling 1,644 MWAC

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SLIDE 29

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Concentrating Solar Power (CSP) Projects

29 Photo Credit: Solar Reserve: Crescent Dunes

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SLIDE 30

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Sample description of CSP projects

 After nearly 400 MWAC built in

the late-1980s (and early- 1990s), no new CSP was built in the U.S. until 2007 (68 MWAC), 2010 (75 MWAC), and 2013-2015 (1,237 MWAC)

 Prior to the large 2013-15

build-out, all utility-scale CSP projects in the U.S. used parabolic trough collectors

 The five 2013-2015 projects

include 3 parabolic troughs (one with 6 hours of storage) totaling 750 MWAC (net) and two “power tower” projects (one with 10 hours of storage) totaling 487 MWAC (net)

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CSP project population: 16 projects totaling 1,781 MWAC

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SLIDE 31

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Not much movement in the installed price of CSP

 Small sample of 7 projects (5 built in 2013-15) using different technologies makes it hard to identify trends  That said, there does not appear to be much of a trend (in contrast to PV’s steady downward trend)  To be fair, newest projects are much larger, and include storage and/or new technology (power tower) in

some cases, making comparisons difficult

31

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SLIDE 32

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Newer CSP projects have struggled with teething issues, but performance improved in 2015

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Capacity factors at Solana and Ivanpah improved in 2015, but were still below long-term, steady- state expectations (the ramp-up is still in progress)

Genesis maintained its 2014 capacity factor (at expectations), but similar Mojave trough project fell a little short

Newer CSP projects generally performing better than older CSP projects, but not necessarily any better than PV projects

SEGS I & II have been decommissioned (and may be replaced with PV)

0% 5% 10% 15% 20% 25% 30% 35% 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Net Capacity Factor (solar portion only)

SEGS I & II SEGS III-IX Genesis Solana Ivanpah Mojave Nevada Solar One (dashed) For reference: average PV in CA, NV, AZ (red diamonds)

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SLIDE 33

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Though once competitive, CSP PPA prices have failed to keep pace with PV’s price decline

 When PPAs for the most recent batch of CSP projects (with CODs of 2013-15)

were signed back in 2009-2011, they were still mostly competitive with PV

 But CSP has not been able to keep pace with PV’s price decline  Partly as a result, no new PPAs for CSP projects have been signed since 2011

33 $0 $50 $100 $150 $200 $250 Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16

PPA Execution Date

PV (for comparison) CSP trough w/o storage CSP trough w/ storage CSP tower w/o storage CSP tower w/ storage

Levelized PPA Price (Real 2015 $/MWh)

250 MW

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SLIDE 34

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

5 10 15 20 25 California Texas Southwest (NV, AZ, UT, CO, NM) Southeast Central Northeast Northwest Nameplate Solar Capacity (GW) Entered queue in 2015 Total in queue at end of 2015 40 80 120 160 Gas Wind Solar Nuclear Coal Other Nameplate Capacity (GW)

Looking ahead: long-term ITC extension should support continued growth in the utility-scale solar pipeline

December 2015’s extension of the 30% ITC through 2019 (along with the switch to a “start construction” rather than “placed in service” deadline), with a gradual phase down to 10% thereafter, should ensure continued momentum for the foreseeable future

56.8 GW of solar was in the queues at the end of 2015 (up from 44.6 GW at end of 2014): more than 5 times the installed solar capacity in our project population at the end of 2015

Solar was in third place in the queues, behind natural gas and wind

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Graphs show solar and other capacity in 35 interconnection queues across the US:

  • Inset compares solar to other resources
  • Main graph shows location of solar
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SLIDE 35

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Relative growth of solar pipeline in various regions suggests a broadening market

The utility-scale solar pipeline has been replenished and has even grown in recent years, despite the record buildout in 2014 and 2015

Although California and (to a lesser extent) the Southwest still dominate the interconnection queues, recent growth in the queues has come largely from outside of those two traditional markets—e.g., Texas and the Southeast, Central, and Northeastern regions

Not all of these projects will ultimately be built (some will undoubtedly fall by the wayside)

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10 20 30 40 50 60 Total California Southwest Texas Southeast Central Northeast Northwest purple shows new capacity that entered the queues in year shown 2013 2014 2015 2013 2014 2015

Solar in Queues at Year-End (GW)

green shows legacy capacity that entered the queues in prior years

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SLIDE 36

Project Site: http://utilityscalesolar.lbl.gov @BerkeleyLabEMP

Questions?

Download the full report, a data file, and this slide deck at:

http://utilityscalesolar.lbl.gov

Download all of our other solar and wind work at:

http://emp.lbl.gov/reports/re

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Contact:

Mark Bolinger: MABolinger@lbl.gov Joachim Seel: JSeel@lbl.gov

This research was supported by funding from the U.S. Department of Energy’s SunShot Initiative.