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CONFIDENTIAL 15 Years of Surprise and Uncertainty: The Texas Electricity Restructuring Story December 2017
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15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Jul 18, 2020

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Page 1: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

CONFIDENTIAL

15 Years of Surprise and Uncertainty:

The Texas Electricity Restructuring

Story

December 2017

Page 2: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

What Surprises?

ERCOT’s mad “Dash for Gas”

The unpredictable shale revolution

The “Texas Wind Rush”

“Sustainable” reserve margins amid low prices

1

Page 3: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

2

Since 1999, Texas Has Seen 22 GW of New Plants and $20 Billion In New Electric Generation Investment

Page 4: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Impact of Natural Gas Prices on ERCOT

3

KKR acquires

Texas Genco for $1.9 B

KKR sells

Texas Genco for $5.9 B

KKR buys

TXU for $45 B

EFH

Bankrupt

Page 5: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Wind Capacity

4

Page 6: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Wind v. Coal Capacity

5

Page 7: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Reserve Margins

Page 8: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

New Uncertainties

Never before seen ERCOT price volatility?

Massive renewables at grid parity?

Will dramatic reductions in costs drive energy storage growth?

Will the rise of distributed energy become the new power development model?

Page 9: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Price Volatility: Has Complacency Set In?

8

Page 10: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Renewable Generation Cost Trends

9

Page 11: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Enormous Quantities of Low Price Renewable Electricity

Page 12: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

11December 20, 2017

Over next five years, there will be continued dramatic cost decreases in energy storage

0

1,000

2,000

0

500

1,000

2016 2017 2018 2019 2020

0

2,000

Flo

w B

atte

ryLe

ad

Capital Cost ($/KWh)

Zin

c

0

1,000

2,000

Lith

ium

0

5,000

10,000

Flyw

he

el

Slow Median Fast

CAGR -3% -9% -16%5 Year -14% -38% -58%

CAGR -1% -2% -12%5 Year -5% -10% -47%

CAGR -1% -5% -16%5 Year -5% -24% -58%

CAGR -2% -12% -13%5 Year -10% -47% -50%

CAGR 0% -1% -7%5 Year 0% -5% -30%

Technology trends & opportunities • Designing out high cost materials, and scale • Improved manufacturing and design will improve

performance – Size/thickness reduces current flow• Integration time for manufacturing

• Reducing required high cost materials• Improving control and response time to increase

usable range of operation• Improvements in operation sustainability – ability to

remove heat, higher efficiency motor/generator

• Improvements in competitive cost position from increases in capability / performance

• Material additives such as carbon is increasing the usable energy and capability envelope

• Design changes to reduce lead requirement

• Scale manufacturing lowering cost (g) • Design improvements reducing needed materials• Chemistry improvements increasing capability of

battery, increases usable energy and range of operation

• Cost reduction depends on manufacturing at scale• Design improvement to reduce high cost sub-

components• Chemistry improvements will increase lifespan and

range of operation

Source: Enovation Partners, Lazard LCOS survey

Page 13: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

12December 20, 2017

1. 1. Demand Management: C&I system designed lower demand charges, 2. Frequency Regulation: C&I system designed to rapidly charge and discharge to provide frequency regulation; 3. Demand Management + Markets: Large scale C&I system designed to provide capacity, spinning reserve, and non-spinning reserve in addition to demand management

2. * See Appendix for detailed assumptions3. Sources: Lazard LCOS (2015); CA SGIP Handbook; PJM Data Miner; NSTAR rate schedules; CA IOU rate schedules; CA IOU DR Filings; ISO-NE FCM; NYISO ICAP; Con Edison DR

Programs; ERCOT; PJM RTO/ISO Market Comparison (2015), PJM Market Monitor (2015); EP analysis

Evaluation of Market Attractiveness for BTM Storage*

BTM storage project economics will improve…

Use Case

Standalone Stacked

DemandMgmt1

FrequencyRegulation2

Demand Mgmt.+ Markets3

California

ISO-NE

ERCOT

PJM

New York

IRR: >10% IRR: 3-9% IRR: <2%

2016 2020

Standalone Stacked

DemandMgmt

FrequencyRegulation

Demand Mgmt. + Markets

Page 14: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

13

DG’s share of total capacity additions is large and growing

Central vs Distributed Capacity Additions

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0

10,000

20,000

30,000

40,000

50,000

60,000

US

In

sta

lla

tio

ns

(M

W)

Central Distributed DG % of total

DG gains share of total capacity additions well into the next decade – from ~50% to nearly 90%

Absolute growth in DG is impressive at over 9%

Diesel and gas recips remain dominant type of DG, but Solar PV grows from <5% to ~20%

Note: Breakthrough in micro turbines, storage, fuel cells could increase share of gas-fired DG

Decreased central station additions, despite optimistic demand assumptions, MACT-driven capacity replacement (but no 111D)

Source: Power Systems Research, SEIA, EGSA, Navigant, EIA, Enovation Partners

Page 15: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

14

DG additions, excluding storage, microturbines and fuel cells

Distributed Gen Capacity Additions

0.00%

0.50%

1.00%

1.50%

2.00%

2.50%

3.00%

3.50%

4.00%

4.50%

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

2009 2010 2011 2012 2013 2014P 2015P 2016P 2017P 2018P 2019P 2020P 2021P 2022P 2023P

US

DG

In

sta

lla

tio

ns

(M

W)

Diesel Gensets NG Gensets Solar PV Fuel Cells Small Wind DG as % of peak load

9.1% CAGR

Source: Power Systems Research, SEIA, EGSA, Navigant, Enovation Partners

Page 16: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

15

Economics of alternative technologies are improving and converging

0

10

20

30

40

50

60

70

80

90

100

0 1000 2000 3000 4000 5000 6000 7000 8000

Effic

iency (

%)

Installed Cost ($/kW)

Gas Engine - DG

Gas Engine - CG

Gas Turbine - DG

Gas Turbine - CG Microturbine - CG

Microturbine - DG

PAFC

MCFC

Assumed capacity: Gas engines 3 -5 MW; Gas turbines 5 – 20 MW; Micro turbines 65 – 200 WW; Phosphoric Acid Fuel Cell 400 kW; Molten Carbonate Fuel Cell 300 kWSource: GTI, Enovation Partners

Expected Evolution in Selected DG Technology Economics 2010 to 2020

Page 17: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

DER: Future of the Power Industry?

Page 18: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

17

Page 19: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model
Page 20: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Emissions Rates

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Page 21: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

CO2 Emissions Rates

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Page 22: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

CO2 TOTAL Emissions

21

Page 23: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Retail Electricity Prices

Page 24: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Retail Electricity Prices by State

Page 25: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

… Most Texas Retail Customers Have Switched

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

80.00%

Percentage of Customers Served by Competitive Texas Retailers

Residential Commercial (Secondary Voltage Industrial (Primary Voltage)

Page 26: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Best Practices in Electricity Restructuring

Create an independent organization to manage the

transmission system

Open wholesale markets to competition by lowering barriers

to entry (easy interconnection rules, allow all power to flow

and work out congestion economically).

Follow global “best practice” in wholesale market design

(Harvard Prof. Bill Hogan’s model of nodal markets with

locational marginal prices)

Create a code of conduct to govern interactions between

regulated entities and affiliates

Create cost based utility rates

Unbundle utility rates and services to open opportunities for

new service providers

Move to retail competition25

Page 27: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model
Page 28: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Pluses and Minuses in The Texas Electricity Story

+ Choice

+ Risks shifted to shareholders

+ Fleet efficiency

+ Many new firms & offers

+ Vigorous Competition

+ Vigorous participation

+ Service improvements

+ Renewable generation

+ New investment leading to

new jobs

Positive

- Increasing n

- Gas dependency

- Need for new capacity

- Initial Customer confusion

- Increased customer

complaints

Negative

Page 29: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

28

Texas Has One of the Largest U.S. Smart Meter Deployments

Source: U.S. EIA, form EIA-861 Data, 2011 (file 8)

Note: The analysis is current as of August 2012;includes utilities that did and did not receive American Recovery and Reinvestment Act of 2009 (ARRA) funds.

GEORGIA − Georgia Power Co.,2,148,720 (11% / 7%)

ALABAMA − Alabama Power Co.1,405,947 (7% / 4%)

KENTUCKY − PPL Electric Utilities Corp,1,403,889 (7% / 4%)

OREGON − Portland General Electric Co,822,223 (4% / 2%)

ARIZONA − Arizona Public Service Co,781,421 (4% / 2%)

FLORIDA − Florida Power & Light Co.2,793,499 (14% / 8%)

TEXAS − Oncor Electric Delivery Company LLC, & Centerpoint Energy

4,527,748 (22% / 14%)

CALIFORNIA − Pacific Gas & Electric

Co. & San Diego Gas & Electric Co,

6,045,841 (30% / 18%)

Page 30: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

Deregulation Has Delivered

Significant Consumer Savings

*All prices are average yearly prices for residential customers using 1,000kWh per monthSources: PUCT Legislative Report dated February 3, 2005; CERA Special Report: Beyond the Crossroads 2005

The PUC found that an average residential customer could have

saved $800 in the Dallas area and $1,450 in the Houston area

107

88

Estimated regulated

price

Best competitive

price

North Texas average prices*

$/MWh

18%

125

91

Estimated regulated

price

Best competitive

price

South Texas average prices*

$/MWh

27%

Page 31: 15 Years of Surprise and Uncertainty: The Texas Electricity … · 2012-12-17 · Follow global “best practice” in wholesale market design (Harvard Prof. Bill Hogan’s model

ERCOT Wind v. Coal

30