1 GW-y2 GW-y 45 GW-y6 GW-y “Cathedral” Photovoltaics · 2019-08-31 · Global energy savings...

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0 1 9 1 0 Years “Cathedral” Photovoltaics 0 2 3 4 5 6 7 8 0 GW-y 1 GW-y 3 GW-y 6 GW-y 10 GW-y 15 GW-y 21 GW-y 28 GW-y 36 GW-y 45 GW-y 0 GW-y 3 GW-y 1 GW-y 2 GW-y

Transcript of 1 GW-y2 GW-y 45 GW-y6 GW-y “Cathedral” Photovoltaics · 2019-08-31 · Global energy savings...

Page 1: 1 GW-y2 GW-y 45 GW-y6 GW-y “Cathedral” Photovoltaics · 2019-08-31 · Global energy savings are accelerating like renewables Annual changes in global primary energy intensity,

0 10 10 91 0Years

“Cathedral” Photovoltaics

0 10 20 30 40 50 60 70 8

0 GW-y1 GW-y3 GW-y6 GW-y10 GW-y15 GW-y21 GW-y28 GW-y36 GW-y45 GW-y0 GW-y3 GW-y1 GW-y2 GW-y

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Cumulative GW installed

0

500

1,000

1,500

2,000

2,500

3,000

2000 2005 2010 2015 2020 2025 2030 2035 2040

WEO 2002WEO 2004WEO 2006WEO 2008WEO 2010WEO 2012WEO 2014WEO 2015WEO 2016WEO 2017ActualBNEF forecast

Wind Solar

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

2000 2005 2010 2015 2020 2025 2030 2035 2040

6⨉ upward revision since

2002

23⨉ upward revision since

2002

Source: IEA World Energy Outlook series, Bloomberg New Energy Finance June 2017 forecast. Slide inspired by Michael Liebreich’s 2016 BNEF Summit keynote

International Energy Agency global wind and solar forecasts

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French windpower output, December 2011: forecasted one day ahead vs. actual

Variable Renewables Can Be Forecasted At Least as Accurately as Electricity Demand

Source: Bernard Chabot, 10 April 2013, Fig. 7, www.renewablesinternational.net/wind-power-statistics-by-the-hour/150/505/61845/, data from French TSO RTE

GW

0

0.51

1.52

2.53

3.54

4.55

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!10% Downtime

!12% Downtime

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0

10

20

30

40

50

60

GW

Day

1 2 3 4 5 6 7

Original loadLoad after efficiency

Geothermal etc.

Choreographing Variable Renewable GenerationERCOT power pool, Texas summer week, 2050 (RMI hourly simulation, 2004 renewables data

HVAC ice/EV storageBiomass/biogas

Storage recoveryDemand response

Solar (25 GW)Wind (37 GW)

Spilled power (~5%)

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Europe, 2015–17 renewable % of total electricity consumed

Choreographing Variable Renewable Generation

36%

60%Denmark 2015 (42% wind, 11% bio) (2013 windpower peak 136%—55% for all December)

68%Scotland 2017 (53% without hydro)

46%Peninsular Spain (2016, 27% without hydro)

63%Portugal (2016, 29% without hydro) (2011 & 2016 peak 100%; 70% for 1H2013 incl. 26% wind & 34% hydro)

Germany 1H2018 (2016 peak 88%, 2018 ~90–100%)

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1980

Transitioning to distributed renewables in DenmarkCentral thermalOther generationWind turbines

2012

Source: Risø

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Grid flexibility resources cost

efficient use

demand response

(all values shown are conceptual and illustrative)

accurate forecasting

of wind + PV

diversify renewables by type and

location

dispatchable renewables and

cogeneration

bulk storage

fossil-fueled

backup

distributed electricity storageincl. EVs

thermal storage

ability to accommodatereliably a large share ofvariable renewable power

(hydrogen storage not shown because its quantity is indeterminate)

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Flexible loads: goodbye “duck curve”These eight levers combine to make net load far smoother and lower (ERCOT, summer 2050)

-15-10-505

10152025303540455055

0 4 8 12 16 20 24

Load Net Load

GW

2 Res Plug Load

3 Res DHW

4 Comm DHW

5 Res Cooling

6 Comm Cooling

7 Res Heating

8 Comm Heating

1 El Vehicles

New Net Load

Source: RMI analysis by Harry Masters, 2016, in course of publication

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In Westchester, NY, 60% of residential consumption in the next decade could come more cheaply from PV

Source: RMI analysis “The Economics of Load Defection,” 2015

Cheaper renewables and batteries change the game

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Load control + PVs = grid optional

0"

2"

4"

6"

8"

10"

12"

kW#

Uncontrolled: ~50% of solar PV production is sent to the grid, but if the utility doesn’t pay for that energy, how could customers respond?

EV-charging

!"!!!!

!2.00!!

!4.00!!

!6.00!!

!8.00!!

!10.00!!

!12.00!!

kW#

Unc!Load! Smart!AC! Smart!DHW! Smart!Dryer!

0"

2"

4"

6"

8"

10"

12"

kW#

Controlled: flexible load enables customers to consume >80% of solar PV production onsite. The utility loses nearly all its windfall and most of its ordinary revenue.

AC

DHW

Dryer

Other

Solar PVAC

DHW

Dryer

Other

Solar PVEV-charging

Source: RMI analysis “The Economics of Load Flexibility,” 2015

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Accelerating plug-in auto growth and falling battery priceGlobal Plug In vehicles, now 4 million, are growing ~50% per year, with battery pack price now below $200/kWh and falling fast

Sources: BNEF, EV-Volumes; S: https://www.greencarreports.com/news/1103667_electric-car-battery-costs-tesla-190-per-kwh-for-pack-gm-145-for-cellsQuattro: https://electrek.co/2017/06/28/audi-electric-car-battery-cost/

for-2016-145kwh-cell-cost-volt-margin-improves-3500/

Battery pack price, 2011–2017 (nominal $)

0

200

400

600

800

1,000

2011 2012 2013 2014 2015 2016 2017

2018 Audi Quattro

$114/kWh

Plug-In Vehicle sales, 2011–2017

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

2011 2012 2013 2014 2015 2016 2017United States China Europe Other

2016 Tesla S

$190/kWh

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From PIGS to SEALS

Personal Internal-combustion Gasoline Steel Shareable Electric Autonomous Lightweight [mobility-as-a-]Service

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中华人民共和国 国民经济和社会发展第十三个五年规划纲要

2016年03月17日

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Tripled US end-use efficiency and quintupled renewables by 2050

IRRs: 33% buildings, 21% industry, 17% mobility, 14% all those plus a resilient, 80%-renewable, 50%-distributed electricity system.Real hurdle rates for efficiency investments, based on 2011 sectoral risk/reward tolerances: autos 3-y retail payback, heavy trucks 15%/y, buildings 7%/y, industry 12%/y, electricity generation 5.7%/y (based on investor-owned utilities’ weighted-average cost of capital).Analysis in constant 2009 $; discounting to 2010 present value is at OMB’s 3%/y prescribed for federal energy-efficiency investments.Activity levels and energy prices from USEIA’s 2010 Annual Energy Outlook Reference Case, extrapolated to 2050.Sectoral adoption rates based on stock-and-flow or consumer-choice models consistent with observed market behavior. No material lifestyle changes. No externalities. Many technical conservatisms. No new (post-2010) inventions. No Acts of Congress.

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Trilli

on 2

009

chai

ned

$

14.5

15.5

16.5

17.5

2010 2011 2012 2013 2014 2015 2016 2017

RFActual

TWh/

y

400

500

600

700

2010 2011 2012 2013 2014 2015 2016 2017

RFActual

Renewable electricity generation

GDP

kBTU

/

2009

$ c

hain

ed G

DP

5

6

7

8

2010 2011 2012 2013 2014 2015 2016 2017

RF Actual

Primary energy intensity

kWh

/20

09 $

cha

ined

GD

P0.15

0.2

0.25

0.3

2010 2011 2012 2013 2014 2015 2016 2017

RFActual

Electric intensity

2010–2017 U.S. progress toward Reinventing Fire’s 2050 goalsActuals (USEIA) are not weather-adjusted. Reinventing Fire progression based on constant exponential growth rate.

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Solutions to:

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587%+ 42%in savings经济节约

bigger GDP经济规模

less carbon碳排放减少

RMB21T2010 NPV

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0

10

20

30

40

50

60

2010 2020 2030 2040 2050

Gig

aton

CO

2 pe

r yea

r

USA

EU

China

Other OECD

Other Non-OECD

Worldwide RF

IEA 450 scenario

Reinventing Fire applied worldwide will keep within the 2010–2050 carbon budget for 50% probability of 2Cº

2"

Worldwide annual CO2 emissions under Reinventing Fire scenario

2034: cumulative post-2010 emissions exceed 1.5Cº budget

Assumptions: •  CO2 emissions are calculated using Reinventing Fire for U.S., Roadmap 2050 for EU, Reinventing Fire: China for China.

Other OECD is calculated using the Reinventing Fire 2010–2050 trajectory; Other Non-OECD using the Reinventing Fire: China 2010–2050 trajectory.

•  CO2 budget is calculated by ETH Zürich from IPCC data and assumptions for non-CO2 emissions to define an energy-related CO2 budget.

•  Cumulative CO2 emissions for 2010–2050 under the Reinventing Fire scenario are 1121 Gt by 2050, 79 Gt below the 1200 Gt 2010–2050 carbon budget for 50% probability of ≤2C˚ average temperature change, but 331 Gt above the carbon budget for ≤1.5Cº average temperature change.

Business-as-usual

…and with conservatively assessed natural-systems carbon removal…

Av. t

emp.

rise

(C˚)

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Detecting an early signal of the energy transitionAnnual percent change in global non-carbon share of total final energy consumption, 1975–2016, and primary energy intensity, 1975–2017

-4%

-2%

0%

2%

4%

6%

8%

1975 1980 1985 1990 1995 2000 2005 2010 2015

y = -0.0013x + 2.64 R² = 0.30

y = 0.0054x - 10.89 R² = 0.51

y = 0.0001x - 0.2375 R² = 0.021

y = -0.0025x + 4.94 R² = 0.66

Sources: TFEC (IEA), renewables (BP, except IEA for renewable heat only); synthetic primary energy intensity (BP, World Bank); no adjustments for weather, economic cycles, or other fluctuations

2016 2 C˚ 1.5 Cº

-1.2%

3.4%

6.7%/y median spread for 1.5C˚ (Rogelj et al., Nature Climate Change, 5 Mar 2018)

3.4%/y median spread for 2C˚ (IPCC AR5)

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Global total final commercial energy consumption from non-fossil-fuel sources, 1975–2017 (21% of 2016 total)

0

10

20

30

40

1975 1980 1985 1990 1995 2000 2005 2010 2015

Nuclear

Hydro

Solar

Wind

Geothermal, biomass, wasteBiofuelsRenewable heat

Exaj

oule

s/y

Sources: TFEC (IEA Energy Balances for renewable heat, BP for all others)

Nuclear flatlined, but renewables more than compensated

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-3%

-2%

-1%

0%

1981–90 1991–2000 2001–10 2011 2012 2013 2014 2015 2016 2017

Global energy savings are accelerating like renewablesAnnual changes in global primary energy intensity, 1981–2017p

Source: International Energy Agency (Paris), Energy Efficiency Market Report 2017; white line based on IEA, Energy Efficiency Market Report 2016, p. 18, citing IEA’s WEO 450 Scenario (3.7%/y GDP growth 2013–20, 3.8% to 2030, plus expected decarbonization). Preliminary 2017 data from IEA, “Global Energy & CO2 Status Report 2017,” 22 Mar 2017, http://www.iea.org/publications/freepublications/publication/GECO2017.pdf,

Average change 2011–17p: 2.1%/y

Average change 1981–2010: 1.2%/y

–2.9% US–5.9% China

–1.3% EU

IEA’s 450-ppm CO2 scenario calls for 2.6%/y intensity drop to 2030

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#1 threat to gas: methane “slip” (vents, flares, leaks, other uncombusted)

CH4 emissions ⨉2.5, 60% human, 25% of warming100- vs 20-y CO2 “equivalence” hides the opportunity~78% is lost upstream, of which ~60–80% is intentional

But CH4 lasts only 9±2 y, so cutting just ~10–25 MT/y could rebalance the global CH4 cycle. Why stop there?

Abating even more (the profitable half of O&G industry emis-sions) could profitably displace 160 GTCO2—fastest way toturn down the thermostat, buying more time to decarbonize

Just closing flares and fixing vents in a few thousand placescould do this profitably! What are entrepreneurs waiting for?

www.earthobservatory.nasa.govInfrared image of a tank battery venting methane from engineered pressure relief valves; vents, flares, and leaks combined emit 76 (2015; coulld well be 80+) MT/y of methane or 2–6 GT/y CO2equiv—$18–36b/y lost revenue at $2–4/million BTU

The world’s 19,000 flares emit ≥6 MT/y of unburned methane (the 2–10% that slips by combustion), equivalent over 100 or 20 y to >180 or 600 MT/y of CO2; closing flares and recovering gas often pays back in a few years

Richard Ward, Director, Methane Program, Rocky Mountain Institute, [email protected], 202 570 3279

13 Source: International Energy Agency – World Energy Outlook 2017

IEA, World Energy Outlook 2017

ABATEMENT NEEDEDTO BALANCE CH4 CYCLE

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Price > CostValue >

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1900: where’s the first car?

Easter Parades on Fifth Avenue, New York, 13 years apart

1913: where’s the last horse?

Images: L, National Archive, www.archives.gov/research/american-cities/images/american-cities-101.jpg; R, shorpy.com/node/204. Inspiration: Tona Seba’s keynote lecture at AltCar, Santa Monica CA, 28 Oct 2014, http://tonyseba.com/keynote-at-altcar-expo-100-electric-transportation-100-solar-by-2030/

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OR

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Renewables replacing $38b/y kerosene market

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From the Age of Carbon to the Age of Silicon

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www.rmi.org | [email protected] | +1 970 927 3129 R

OCKY MOUNTA

IN

INSTIT UTE

Profitable Climate Protectionwith Development and Security