douglas arent - energy issues and implications for macrostability workshop
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![Page 1: Douglas Arent - Energy Issues and Implications for Macrostability Workshop](https://reader033.vdocuments.mx/reader033/viewer/2022042907/58e7874b1a28abe7528b605b/html5/thumbnails/1.jpg)
Energy Issues and Implica2ons for Macrostability Workshop: Technology Futures April 2016 Dr. Douglas J. Arent Execu9ve Director
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JISEA’s MISSION JISEA research focuses on the intersec9ons of energy, finance, and society. JISEA provides cri9cal clarity and insights to inform decision making through leading-‐edge interdisciplinary research and objec9ve, credible, cross-‐func9onal analysis.
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JISEA—Joint Ins9tute for Strategic Energy Analysis 3
$62bn$88bn
$128bn
$175bn$206bn $207bn
$274bn
$318bn$297bn
$272bn
$316bn$329bn
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Clean energy investment rose while oil & gas CAPEX fell Global clean energy investment vs oil & gas capital expenditure $500bn
Note: Oil and gas CAPEX data refers to total capital spending by integrated global oil firms and US independent E&Ps. Excludes NOCs. Source: Bloomberg Intelligence, Bloomberg New Energy
Finance
$321bn
0
20
40
60
80
100
120
140
160$146/bbl
$37/bbl
Oil and gas CAPEX down
by 36% in 2015
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Implica9ons of Paris
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PATHWAYS TO DECARBONIZATION • Natural Gas • Renewables • Nuclear • Efficiency • CCUS • EVs • Energy Services • Human-‐System Op?miza?on
• Synergies • Compe??on • Integrated Systems
JISEA—Joint+Ins-tute+for+Strategic+Energy+Analysis++ 5+
+U.S.+Genera-on+by+Fuel+Type+
0+
500+
1,000+
1,500+
2,000+
1950+ 1955+ 1960+ 1965+ 1970+ 1975+ 1980+ 1985+ 1990+ 1995+ 2000+ 2005+ 2010+ 2015+
Terawa&
'hou
rs,
Coal+
Natural+Gas+
Nuclear+
Hydro+Petroleum+ NonMHydro+
Renewables+
The,U.S.,Power,Sector,Is,Undergoing,Profound,Transforma:on,Source:+Electric+Power+Monthly,+EIA.+
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U.S. Shale Produc9on
Shale Gas Supplied 58% of Total Dry Natural Gas Produc2on in 2015 Source: Natural Gas Weekly Update, EIA.
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-60
-40
-20
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0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
US independent oil & gas producer solvency ra9os
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2008
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-60
-40
-20
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80
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0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2009
US independent oil & gas producer solvency ra9os
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-60
-40
-20
0
20
40
60
80
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0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2010
US independent oil & gas producer solvency ra9os
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-60
-40
-20
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20
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80
100
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2011
US independent oil & gas producer solvency ra9os
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-60
-40
-20
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20
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60
80
100
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2012
US independent oil & gas producer solvency ra9os
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-60
-40
-20
0
20
40
60
80
100
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2013
US independent oil & gas producer solvency ra9os
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-60
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-20
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20
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60
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100
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140
Prudentlimit
Insolvency zone
Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
2014
US independent oil & gas producer solvency ra9os
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Source: Bloomberg Intelligence; Bloomberg New Energy Finance
Interest cover (EBITDA/Interest expense)
Leverage (total debt to capital %)
Note: size of bubbles represents net debt posi9on for each company
-60
-40
-20
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20
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Prudentlimit
Insolvency zone
2015
$234 bn of US energy junk debt outstanding
52 companies filing Chapter 11 since start 2015
69 companies under credit ra2ngs review
US independent oil & gas producer solvency ra9os
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020040060080010001200140016001800
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MarcellusHaynesvilleEagle FordFayettevilleBarnettWoodfordBakkenAntrimUticaOther ShaleGas rigs online0
20040060080010001200140016001800
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MarcellusHaynesvilleEagle FordFayettevilleBarnettWoodfordBakkenAntrimUticaOther ShaleGas rigs online
US dry shale gas produc9on by play vs rig count
Source: EIA, Bloomberg New Energy Finance
Billion cubic feet per day Number of rigs online
020040060080010001200140016001800
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MarcellusHaynesvilleEagle FordFayettevilleBarnettWoodfordBakkenAntrimUticaOther ShaleGas rigs online
Rig count down 8-‐fold 2007-‐16
Output per rig up 11-‐fold 2007-‐16
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LNG export capacity by country/region (MMtpa)
Source: Bloomberg New Energy Finance
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6002
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OtherNorth AmericaRussiaEast AfricaWest AfricaAustraliaNorth AmericaAustraliaOtherRussiaWest AfricaNorth AfricaIndonesiaMalaysiaQatarDemand
Pre
-FID
O
pe
rati
on
al,
un
de
r c
on
str
uc
tio
no
r p
os
t-F
ID
Note: Pre final investment decision (Pre-‐FID) projects with <50% chance of success are excluded.
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Key Issues: • Federal Framework • Economics
• Corporate • Stakeholder & Local • State • Federal • United States.
• Environment • Water • Emissions
• Society • Social License…
METHANE EMISSIONS & ABATEMENT
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2000 2005 2010 2015 2000 2005 2010 2015 2000 2005 2010 2015
COAL CONSUMPTION BY REGION (MTOE) OECD -‐ DECLINING CHINA -‐ FLATTENING NON-‐OECD EX CHINA -‐ SLOWING
Year on year % change Year on year % change Year on year % change
Source: Bloomberg New Energy Finance
-1%
1% 3% 1% 1% 1% 2%
-2%
-11%
6%
-2%-4%
1%
-2%-1%
2000 2005 2010 2015
-1%
1% 3% 1% 1% 1% 2%
-2%
-11%
6%
-2%-4%
1%
-2%-1%
2000 2005 2010 2015
-1%
1% 3% 1% 1% 1% 2%
-2%
-11%
6%
-2%-4%
1%
-2%-1%
2000 2005 2010 2015
-1%
1% 3% 1% 1% 1% 2%
-2%
-11%
6%
-2%-4%
1%
-2%-1%
2000 2005 2010 2015
5%
10%
19%17%17%
10%9%
2%5% 4%
9%
1% 2% 0%
-4%
2000 2005 2010 2015
1%5% 3%
10%7% 6% 8%
10%9%4% 4%
12%7%11%10%
2000 2005 2010 2015
Coal consump3on (Mt/yr) Coal consump3on (Mt/yr) Coal consump3on (Mt/yr)
1,216Mt 1,042Mt
1,900Mt 1,896Mt
876Mt 533Mt
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0
50
100
150
200
250
1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020 2030
Note: Pre-‐1913, data is available only for 10-‐year average annual consump9on Source: UK DECC, Bloomberg New Energy Finance
UK coal demand, 1860–2015 (Mt/yr)
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Renewable energy propor9on of power genera9on, 10 years to 2014 (%)
Canada 76%
US 13%
Brazil 71%
China 22%
Japan 11%
Australia 16%
India 6%
9% 13%
US
61% 65%
Canada
9% 13%
Japan
16%23%
China
8% 13%
Australia
16% 16%
India
88%75%
Brazil0% Lowest
50% Mid
100% HighestNote: Includes hydro Source: BP Sta9s9cal Review of Energy, Bloomberg New Energy Finance
15%
40%Spain
4%
19%
UK
16%
44%Italy
27%
57%Denmark
10%
26%
Germany
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0.1
1
10
100
1 10 100 1,000 10,000 100,000 1,000,000
2003
1976
1985
2008
Cumulative capacity (MW)
Current 2015 price
Note: Prices are in real (2015) USD. ‘Current price’ is $0.61/W Source: Bloomberg New Energy Finance, Maycock
Wind and solar experience curves
ONSHORE WIND LEVELISED COST ($/MWh) SOLAR PV MODULE COST ($/W)
Learning rate 24.3%
MODULE COSTS HAVE FALLEN
99% SINCE 1976 80% SINCE 2008
y = 3,582.42x-0.30
R² = 0.91
16
32
64
128
256
512
1,024
100 1,000 10,000 100,000 1,000,000
1985
20252014
Learning rate =19%R² = 0.91
Thailand
Brazil
Germany
US
H1 2015
19992009
1,024
512
256
128
64
32
100 1,000 10,000
16
100,000 1,000,000
Learning rate 19%
1985
1999
2009
20142025
H2 2015
Learning rate 19%
WIND COSTS HAVE FALLEN
50% SINCE 2009
Note: Pricing data has been infla9on corrected to 2014. We assume the debt ra9o of 70%, cost of debt (bps to LIBOR) of 175, cost of equity of 8% Source: Bloomberg New Energy Finance
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3"
US Wind Generation Trends
Source:"EIA"and"LBNL"
US#Wind#Power#Technical#Poten3al#• Onshore"–"11,000"GW"• Offshore"–"4,200"GW"
6"
Wind Power PPA Trends
$0
$20
$40
$60
$80
$100
$120Jan+96
Jan+97
Jan+98
Jan+99
Jan+00
Jan+01
Jan+02
Jan+03
Jan+04
Jan+05
Jan+06
Jan+07
Jan+08
Jan+09
Jan+10
Jan+11
Jan+12
Jan+13
Jan+14
Jan+15
PPA2Execution2Date
2Interior2(20,6112MW,22122contracts)2West2(7,1242MW,2722contracts)2Great2Lakes2(3,6202MW,2482contracts)2Northeast2(1,0182MW,2252contracts)2Southeast2(2682MW,262contracts)
Levelized
2PPA
2Pric
e2(201
42$/MWh)
752MW
1502MW 502MW
8"
U.S.$Solar$Deployment$Trends$
US$Solar$Power$Technical$Poten8al$• PV"–"154,000"GW"• CSP"–"38,000"GW"
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Source: Bloomberg New Energy Finance; ImagesSiemens; Wikimedia Commons
World record: 3-‐cent wind, sub-‐4-‐cent solar (Unsubsidised)
Loca9on: Bidder: Signed: Price:
Morocco Enel Green Power January 2016 US$ 3.0 c/kWh
ONSHORE WIND
Loca9on: Bidder: Signed: Price:
Coahuila, Mexico Enel Green Power March 2016 US$ 3.6 c/kWh
SOLAR PV
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PLANNING CONSIDERATIONS FOR STORAGE
Shipping containers filled with lithium batteries on Kauai, Hawaii USA (Source: Technology Review 2015)
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0
100
200
300
400
500
600
700
2010 2015 2020 2025 2030 2035 2040 2045 2050
Capital Cost ($/kW
h)
18650 BERR & DfT (2008):30 Bloombergy New Energy Finance Boston Consul9ng Group (2010):7 Catenacci et al (2013):411 Delucchi et al (2000):251 Deutsche Bank (2009):46-‐47 Deutsche Bank (2010a):4 Deutsche Bank (2010b):19 Electrifica9on Coali9on (2010):78 Element Energy (2012):54 Energy Storage Associa9on Gerssen-‐Gondelach Faji (2012):111 Goldman Sacks Greentech Media (2016): 80 Kalhammer et al (2007):47 Kromer (2007):43 Mayer et al (2012):14471 McKinsey (2010):35,60 McKinsey (2012) :1 McKinsey (2012):1 Navigant (2016):12 Nelson et al (2009):11 PRTM (2011):20 Rocky Mountain Ins9tute (2015):62 Roland Berger (2012):30 Shulock et al (2011);2,19-‐22 Thiel et al (2010):7146 U.S. Energy Informa9on Administra9on (2014) UBS van Essen and Kampman (2011):12; and Duleep et al (2011):29-‐30 WEC (2007):69
Literature review – barery pack costs
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Tech cost Trends
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Exploring Technology/Policy/Finance Scenarios • 20% Wind Energy by 2030 (2008) • Evalua9ng a Proposed 20% Na9onal Renewable Porsolio Standard (2009)
• SunShot Vision Study (2012) • Renewable Electricity Futures Study – Explora9on of High-‐Penetra9on Renewable Electricity Futures (2012)
• Beyond Renewable Porsolio Standards (2013)
• Integrated Canada-‐US Power Sector Modeling with ReEDS (2013)
• ReEDS Modeling of the President’s 2020 U.S. Renewable Electricity Genera9on Goal (2014)
• Wind Vision Report (2015)
• Ac9ve Projects • Hydropower Vision • Geothermal Vision • On the Path to SunShot
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Regional Energy Deployment System (ReEDS) Model
• Op9miza9on model of U.S. Electricity Sector
• 134 Balancing Areas • 356 Wind/CSP regions • Explicit considera9on of RE
integra9on issues
• Solves combined capacity expansion and dispatch out to 2050 under different assump9ons o Economic o Technology o Policy
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NG can be useful in lowering emissions in the near & Medium term, but low cost CCS important for Deep Decarboniza9on • Under a low carbon target, NG usage increases over 9me with compe99ve CCS
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ural
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erat
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(TW
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Low Target + Low CCS Cost Reference - Low Carbon Target Reference - Mid Carbon Target Reference - No Carbon Target
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24#
ReEDS&ini)al&results&–&storage&capacity&
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Ref#Low#Bat#Cost# Ref#Mid#Bat#Cost# Ref#High#Bat#Cost#
Cap#Low#Bat#Cost# Cap#Mid#Bat#Cost# Cap#High#Bat#Cost#
In#all#scenarios#very#liCle#storage#is#deployed#unEl#aFer#2028.##The#high#cost#storage#trajectory#does#not#result#in#any#addiEonal#storage#capacity#in#the#reference#scenario,#but#does#in#the#carbon#cap#scenario.#
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2036#
2038#
2040#
2042#
2044#
2046#
2048#
2050#
PV&Cap
acity
&(GW)&
Ref#Low#Bat#Cost# Ref#Mid#Bat#Cost# Ref#High#Bat#Cost#
Cap#Low#Bat#Cost# Cap#Mid#Bat#Cost# Cap#High#Bat#Cost#
PV#capacity#is#strongly#influenced#by#low#cost#storage#(more#than#130#GW#of#addiKonal#PV#capacity#between#the#low#and#high#baLery#cost#scenarios).##CSP#capacity#(not#shown)#is#reduced#due#to#low#cost#storage.#
• Cost Decreases Dominate for Storage
• Carbon Budget drives RETs
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Gas and Storage Compete for Providing Flexibility.
0
20
40
60
80
100
120
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Stor
age
Cap
acity
(GW
)
Variable Renewable Energy Fraction
Low Nuclear Cost
Low NG Price
High NG Price
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05,00010,00015,00020,00025,00030,00035,00040,000
2015 2020 2025 2030 2035 2040
ELECTRICITY DEMAND FROM EVS (TWH/YR)
Electrifica9on of transporta9on -‐ impacts
EV SALES BY REGION IN 2040 (MILLION VEHICLES)
Source: Bloomberg New Energy Finance
Europe15%
USA21%
China35%
Japan3%
Rest of the world26%
Total 41m
Total global electricity demand excluding EVs
Electricity demand from EVs
Chinese car industry leadership
Around 10% addi2onal power demand
OIL DEMAND DISPLACED BY EVS (MILLION BARRELS / DAY)
02468
101214
2015 2020 2025 2030 2035 2040
Rest ofthe worldJapan
Europe
USA
China
Destruc2on of 13m bbl/day oil demand
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JISEA—Joint Ins9tute for Strategic Energy Analysis 33
THE ROAD FROM PARIS .
Aspira?ons…
Realiza?on…
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Science Informed Decisions…
THE ROAD FROM PARIS
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JISEA—Joint Ins9tute for Strategic Energy Analysis 35
THE EVOLVING POWER SECTOR • NG & RE • Gas/Electric Coordina?on/
Dependencies • DER • Intelligence • State, CPP +… • Flexibility • PSOF: e.g. “U?lity 2.0”
JISEA—Joint+Ins-tute+for+Strategic+Energy+Analysis++ 38+
The+Evolving+Power+System+…++
Transi'oning*today:**Restructuring,*New*Business*Models,**New*Technologies*
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TECHNOLOGY IS ACCELERATING FASTER THAN EVER
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JISEA—Joint Ins9tute for Strategic Energy Analysis 37
US Wind Resources
US Wind Power Technical Poten2al • Onshore – 11,000 GW • Offshore – 4,200 GW
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JISEA—Joint Ins9tute for Strategic Energy Analysis 38
TECHNOLOGY EVOLUTION UNLEASHES NEW OPPORTUNITIES AND CHALLENGES
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JISEA—Joint Ins9tute for Strategic Energy Analysis 39
TECHNOLOGY EVOLUTION UNLEASHES NEW OPPORTUNITIES AND CHALLENGES
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JISEA—Joint Ins9tute for Strategic Energy Analysis 40
POWER SECTOR TRANSFORMATION Driving Change …
Measuring Progress…
• Degree of innova9on • Engagement
• Impact
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JISEA—Joint Ins9tute for Strategic Energy Analysis 41
Power systems are complex and dynamical…
A HOLISTIC APPROACH TO POWER SYSTEM TRANSFORMATION
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EXTENT AND SPEED OF TRANSFORMATION
Different extent and speed of change implies different modes of transformation: Adaptation, Evolution, Reconstruction, and Revolution.
Transformation is path-dependent
Technological, financial and institutional legacies have important bearing on the rate and extent of change Heavier legacies: cautious incrementalism Light legacies: more rapid change.
Source: Power Systems of the Future (2015). A 21st Century Power Partnership Report: http://www.nrel.gov/docs/fy15osti/62611.pdf
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KEY DRIVERS BEHIND NEXT GENERATION PLANNING QUESTIONS
Renewable energy cost reductions Increased interactions with other sectors
Data, intelligence, and system optimization innovations
Local and global environmental concerns over air emissions
Energy security, reliability, and resilience goals Energy access imperatives
Evolving customer engagement Increasingly diverse participation in power markets
A tale of two electricity demand forecasts
Revenue and investment challenges.
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Transforming Power Systems
Low capital cost op9ons,
but may require significant changes to the ins9tu9onal context
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JISEA—Joint Ins9tute for Strategic Energy Analysis 45
ENERGY REFORM IN MEXICO TRIGGERS SHIFTS IN PLANNING
• Energy Sector Reform in 2014
• New independent system and market operator (CENACE)
• Creation of independent regulator (CRE)
• Retention of strong central government role for power sector planning
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JISEA—Joint Ins9tute for Strategic Energy Analysis 46
ENERGY REFORM IN MEXICO
• Clean Restructuring v Reconstruc9ve change
dynamics
v Bulk power market restructuring, incorpora9ng lessons learned from the past 20 years
v Design features to facilitate clean energy integra9on and system op9miza9on
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JISEA—Joint Ins9tute for Strategic Energy Analysis 47
INDIA’S 2022 100 GW SOLAR GOAL REQUIRES AN EVOLUTION IN POWER SYSTEM PLANNING
1. More flexibility is needed to balance supply and demand
2. More transmission might be necessary
3. Grid services (e.g. inertial response) from wind/solar or other equipment come at additional cost
4. Existing conventional generators are needed, but run less, affecting cost recovery
Solar (and wind) generation is variable, uncertain, and location-constrained ….raising new considerations for grid
planning and operations
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JISEA—Joint Ins9tute for Strategic Energy Analysis 48
Grid Moderniza9on Components
Renewable Energy
Energy Efficiency
Analysis, Modeling and Simula9on
Energy Storage
Sensors and Controls
Interconnec9on
Policy and Regula9on
Interoperability
Markets and Business Models
Technologies Scales and Challenges Solu2ons
Sustainable Transporta9on
Consumer
City
Regional
More Variable Supply and Demand Limited Grid Flexibility Aging Infrastructure Vulnerability to Extreme Events Challenges to Reliability Increasing Costs
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JISEA—Joint Ins9tute for Strategic Energy Analysis 49
The Evolving Power System …
Transi2oning today: Restructuring, New Business Models, New Technologies
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Rethinking the Future: Solar
Source: Maycock, Bloomberg New Energy Finance
1
10
100
1,000
10,000
100,000
1
5
50
1975 1980 1985 1990 1995 2000 2005 2010 2015
Crystalline silicon PV module price (2015 $/W(DC)) - LH scale
1
10
100
1,000
10,000
100,000
1
5
50
1975 1980 1985 1990 1995 2000 2005 2010 2015
Volume installed (MW) - RH scale Crystalline silicon PV module price (2015 $/W(DC)) - LH scale
$/W (DC) MW Installed
Costs down 150 x
Cumula2ve installa2ons up 115,000x
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GOOD DATA INFORMS GOOD POLICY: LONG-TERM SCENARIO PLANNING
http://www.nrel.gov/analysis/re_futures/data_viewer/
NREL Renewable Electricity Futures Study Capacity Expansion Scenario Model – 80% RETs
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Energy Policy Dynamics Increasingly Complex
52
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JISEA—Joint Ins9tute for Strategic Energy Analysis 53
A FEW TAKE AWAYS
• Technology advances are changing the landscape • Low carbon, smart, least cost solutions • Renewables offer domestic advantages with
potential economy wide benefits: • Price certainty, trade, water/food, health…
• Policy, Finance/business models enable or hinder change
• Power Sector Structural reforms underway across the globe
• Least cost structures • Innovation in Financing and Financial reforms
underway “in an era of lower growth”.
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JISEA—Joint Ins9tute for Strategic Energy Analysis 54
SUPPORT FOR POWER SYSTEM PLANNING: TECHNICAL AND POLICY ASSISTANCE
Provides technical assistance to countries – modelling, road-mapping, integration
Knowledge development & sharing – report publication and dissemination
Organizes global networks of expertise – such as today’s program
Supports governments in developing policy, program and finance solutions for clean energy deployment
Ask-an-Expert – no-cost, tailored assistance from global experts
PowerAfrica partnership - targeted support for sub-Saharan African countries
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JISEA—Joint Ins9tute for Strategic Energy Analysis 55
It is not the essen?al nature of a technology that maVers but its capacity to fit into the social, poli?cal, and economic
condi?ons of the day.
The Economist, March 12, 2012 “The Dream that Failed”
55
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JISEA—Joint Ins9tute for Strategic Energy Analysis 56
Key Examples from different stages of VRE development
Ambi2on and Confidence
Deployment and Capacity Building
Grid Infrastructure
Short-‐term System Flexibility
Long-‐term System Performance
Early Stage • An9-‐nuclear groups encourage wind
• 1,000 roofs pilot program (expanded to 100,000)
• Public Goods Charge to support RE
• FIT/ Sox Loan Program/ Standardized permiyng
• FIT/Municipali9es required to iden9fy wind sites
• Renewable porsolio standard, Net metering
• Transmission plan integrated with VRE goals
• Simplify interconnec9on protocols / Required u9lity interconnec9on for VRE
• Requirements for flexible CHP
• Market design for flexible coal plants
• Wind interconnec9on requires voltage ride through
• Liberalized wholesale market
• Formal grid integra9on and resource adequacy studies
• Unbundling of genera9on and transmission
Intermediate Stage
• Integrated policy framework (Energiewende)
• Develop grassroots
poli9cal support through distributed genera9on
• Degression in FIT tariff • Smart inverter
requirements for PV
• Reverse Auc9on Mechanism, California Solar Ini9a9ve
• Expanded balancing area with complementary genera9on mix (Nordpool)
• Designated renewable energy zones with transmission buildout
• Bornholm grid pilot project
• Demand response programs
• Centralized VRE forecas9ng, fast dispatch
• Long term procurement planning and Resource Adequacy (RA) payments
• Thermal plants receive
ancillary services and reliability payments
Advanced Stage
• 50% RE by 2020, 100% RE by 2050
• 55% RE by 2030, 85% RE by 2050
• 50% RE by 2030
• Offshore wind tender system
• Incen9vize VRE dispatchability
• Strengthen grid interconnec9on 9es within exis9ng balancing areas
• Nodal markets (LMP)
• Energy imbalance market and flexi ramp product
• Markets for fast responding ancillary services
• Market Model 2.0: (Power market redesign to accommodate high RE penetra9on)
• EEG 3.0: (Adapt to nuclear phase-‐out)
Legend: Germany Denmark California Texas
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JISEA—Joint Ins9tute for Strategic Energy Analysis 57
21st Century Power Partnership • RE Integra9on
• Technical, Ins9tu9onal, Opera9onal, Finance, Policy & Regula9on
• EE, Smart Grid, & DER Policies
• Securi9za9on: Mobiliza9on of Capital