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CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited Implications of the Global Energy Transition on critical materials in the long term World Materials Forum | Nancy, 17-19 June 2021

Implications of the Global Energy Transition on critical

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Page 1: Implications of the Global Energy Transition on critical

CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

Implications of the Global Energy Transition on critical materials in the long term

World Materials Forum | Nancy, 17-19 June 2021

Page 2: Implications of the Global Energy Transition on critical

McKinsey & Company 22

The past decade brought fundamental changes to the global energy systemAt the start of the 2020s, we look back at a decade of rapid technological and policy shifts in energy sectors

Technology cost,1indexed 2010 = 100

Total shale/tight oil and gas production, MMb/d (gas in oil eq)

Announced 2030 ICE city access restrictions,millions of citizens affected

National/regional carbon-pricing initiatives,number of initiatives

Examples of shifts in the global energy system

Source: McKinsey Energy Insights Global Energy Perspective 2021, December 2020

1. Numbers represent global average

Page 3: Implications of the Global Energy Transition on critical

McKinsey & Company 3

The McKinsey reference case considers a global warming by +2.5°C and is the basis for the energy perspective applied

Source: Team analysis

1. Global warming potential by 2100 ranges: for SDS between 1.7-1.8 °C and STEPS 2.5-3.0 °C2. Solar, Wind, Hydro, Nuclear, Bioenergy, Other renewables

0

5

10

15

3025 352019 2040

15

0

5

10

2019 20403025 35

10

0

5

15

35302019 25 2040

10 20 3310 16

20502019 30

0

64

160

10

80

200

2019 205030

0

104

224

10

130

280

2019 30 2050

0

Coal

Other22

Natural gas

Oil

Developingregions

Developedregions

Energy mix(Btoe)

Comparable scenarios

CO2 priceUSD/ t CO2

20 251050

90

0

30 20502019

0

5

10

15

30 352019 25 2040

McKinsey – 1.5°C scenario+1.5°C scenario1

McKinsey’s view of a pathway that limits global warming to 1.5ºC, across sectors and energy products, reflecting deep expertise to build technically viable decarbonization paths

McKinsey – Reference case scenario+2.5°C scenario1

McKinsey’s consensus view on our current path, combining more progressive views as well as views that question feasibility and actual realization. Reflects the latest perspectives on short-term COVID-19 impacts and long-term macro-economic outlooks, & expert views on cost trajectories for existing & novel technologies

IEA – SDS

SDS +1.7°C scenario1Sustainable Development Scenario

A surge in clean energy policies and investment puts the energy system on track to achieve sustainable energy objectives in full, including the Paris Agreement, energy access and air quality goals. The assumptions on public health and the economy are the same as in the STEPS

IEA – STEPS

STEPS +2.7°C scenario1Stated Policies Scenario

COVID-19 is gradually brought under control in 2021 and the global economy returns to pre-crisis levels the same year. This scenario reflects all of today’s announced policy intentions and targets, insofar as they are backed up by detailed measures for their realization

Page 4: Implications of the Global Energy Transition on critical

McKinsey & Company

GEP Power Model

DEMAND SUPPLY

Nuclear

SolarWindGasCoal

HydroOil

Bio energy

Buildings

Industry

Transport Illustrative

▪ Ensuring to deliver power demand on an hourly level from different sectors

▪ Building the system’s cost-optimal capacity mix, split into 41 technology classes, based on detailed inputs and constraints (e.g., existing fleet and local circumstance)

▪ Dispatching capacity to create cost-optimal generation mix, considering country specific circumstances (e.g., cost and capacity factors)

Sectors

1. Sub-technologies for different technology groups leads to total of 41 technology classes

DEMAND

Generation Flexibility

SUPPLY1

Gas

Coal

Solar

Wind

Oil

Nuclear

Hydro

Marine

Geothermal

Distributedbatteries

Utility-scalebatteries

Pumped hydro

Hydrogen

Transport

Buildings

Industry

Bio energy

Source: McKinsey Energy Insights’ GEP Power Model

The McKinsey Global Power Model covers demand/supply dynamics on power markets in an integrated and granular approach

Page 5: Implications of the Global Energy Transition on critical

McKinsey & Company 5

In the Reference Case, fossil fuels gradually get replaced by renewables but continue to play a roleOil demand peaks in the late 2020s, gas in the 2030s, whereas coal declines steadily

Primary energy demand,million TJ

CAGR 2019–35

6.4%

0.4%

-0.7%

CAGR 2035–50

Source: McKinsey Energy Insights Global Energy Perspective 2021, December 2020

1. Compared to 2019 levels2. Bioenergy, hydro, and other renewables

coal demand

>40% lower oil demand

>10% lower gas demand

~5% higher

Compared to 2019, by 2050 we will see:

5McKinsey & Company

500

600

0

700

100

200

300

400

452019 25 30 35 40 2050

Other RenewablesHydro

BioenergyNuclear

Natural GasOil

Coal

0.0%

0.8%

-0.2%

-1.9

9.1%

1.1%

0.0%

0.2%

1.2%

0.8%

-1.8

renewable2 demand

>220% higher

2027: Fossil peak

2029: Oil peak

2037: Gas peak

Page 6: Implications of the Global Energy Transition on critical

McKinsey & Company 6

Global power consumption by sector,thousand TWh

Doubling in power demand is driven by higher living standards, electrification, and hydrogenRelative growth is largest in the transport sector

Source: McKinsey Energy Insights Global Energy Perspective 2021, December 2020

2% 2%1% 2% 10%11%

Power demand for green H2 production

Buildings

Industry

Transport

CAGRs, %

share of hydrogen in total electricity uptake until 2050

~30%

global electricity consumption by 2050

2x higher

6McKinsey & Company

Page 7: Implications of the Global Energy Transition on critical

McKinsey & Company 7

Ensuring global power supply going forward will rely on a complex landscape of power generation and energy storage technologies

1. Coal and gas technologies are split in subclasses based on percentile of plant-level efficiencies; 2. Includes subclasses for sites with high, medium and low capacity factors; 3. Residential and C&I, modelled exogenously based on consumer dynamics and retail tariffs

Super- and sub-critical ligniteSub-critical hard coal (x3)

Supercritical hard coal (x3)Ultra-supercritical hard coal

IGCCCo-fired (with biomass)CCS super-critical hard coalCHP

Coal (13)1

Source: McKinsey Energy Insights’ GEP Power Model

Gas (9)1

CCGT (x6)OCGT (x2)CHP

Hydro (2)Run-of-riverDam

Nuclear (1)- -

Oil (1)Onshore2 (x3)Offshore

Wind (4)

BiomassWasteCHP

Bio-energy (3)Large-scale PV2 (x3)Small-scale PV3 (x2)Solar thermal

Solar (6)-

Geothermal (1)-

Marine (1) Storage (4)Pumped hydroUtility-scale batteriesDistributed batteries

Hydrogen

Limited to political/geo-graphical potential

Fuels modelled as technologies for

modelling simplicity

Page 8: Implications of the Global Energy Transition on critical

McKinsey & Company 8

Renewables become cheaper than existing fossil plants in most locationsNew renewables can compete with the marginal cost of fossil power by 2030

Power demand and supply

Country

Share of coal and gas in power gene-ration 2019,%

Tipping points represent years when new solar or wind assets first become cheaper than generating electricity from existing coal or gas

Solar PV Onshore wind

Source: McKinsey Energy Insights Global Energy Perspective 2021, December 2020; McKinsey Power Model

Solar PV + storage1

30 35 2040252020

8McKinsey & Company

becomes economical first in all regions as a result of lower levelized cost of electricity

Solar PV

Late 2020sNew build renewables cost-competitive with existing assets n most countries

1. CAPEX for buffer storage capacity etc. included

Page 9: Implications of the Global Energy Transition on critical

McKinsey & Company 9

Energy transition toward renewables will boost Copper demand while its impact on PGMs will be more balanced

WMF criticality assessment

Very high degree of risk Low probability of risk occurrence

Mid- to long-term demand trends Mid- to long-term supply trends

Cu29

63.546Copper

Copper Global copper demand is forecasted to grow at 3.1% p.a., above the historical long term rate of 2.5% (+9.1 Mt between 2019-30) driven by grid expansions and infrastructure modernization

If the ‘green shift’ proceeds at pace, additional 5Mt of copper will be needed by 2030 for renewable power generation, grid storage and mass EV adoption

Supply growth will peak in 2026 at 23.8Mt; weak project pipeline over the second half of the 2020s

Structural market deficit is expected after 2025 and will exceed 4.6Mt by 2030 unless projects are incentivized to advance and potential environmental risks of copper extraction get addressed

Recycling will play a crucial role to close the supply gap

Pd46

Pt78

195.085Platinum

106.420Palladium

Rh45

102.096Rhodium

PGM Rapid renewables EV adoption will negatively impact PGMs in auto catalysts

Platinum-Palladium substitution and stricter emission loadings will largely offset this decline/change dynamics

Platinum demand from FCEV and hydrogen production will be low by 2030, growing significantly after 2030

Mine supply has been flat since 2010, expected market conditions should incentivize up to 1Moz of Pt and 1.5Moz of Pd of new supply

Current operations will decline, driven by aged South African western limb assets, which will impact rhodium supply

Palladium supply has a stronger project outlook due to throughput improvements and expansions in Russia

Source: WMF, McKinsey MineSpans

Page 10: Implications of the Global Energy Transition on critical

McKinsey & Company 1010McKinsey & Company

Demand for PGMs in auto catalysts to be impacted by both tailwinds and headwindsPlatinum1 and palladium demand for auto catalysts, 2010-30, Moz

Source: Metals Focus, McKinsey Center for Future Mobility, McKinsey PGM model

Headwinds:City de-congestion and entry-bans, rapid adoption of electric vehicles, stricter emission standards, OEM thrifting to drive PGM demand in autocatalysts2019-30 light vehicle sales to be flat to marginal growing reaching 87m – 97m units; 0%-1% CAGR –significantly less than previous estimatesBEV to account for 19% of light vehicles sales by 2030; ~16million vehiclesTailwinds:China’s new emission standards, China 6b, to be equivalent to the Euro 6 – PGM loadings to increase significantly, particularly Pd in ICE vehicles

161410 15

5

13 2911 12 17

10

18 19 20

9

21 22

1

23 24 3025 26 27 280

2

6

3

4

7

8

11

2.2

1.7

2.3

8.9

1.0 0.9

7.9

1.1

9.4

9.9

2.9

Rhodium PlatinumPalladium No substitution

1. Excluding FCEV (hydrogen society); 665Koz Pt by 2030

Fully phasing out of diesel vehicle in Europe by 2030

Platinum giants get lifeline as green economy boosts demand

Page 11: Implications of the Global Energy Transition on critical

McKinsey & Company 11

Copper demand is forecasted to grow by at least 9Mt between 2019 and 2030, current supply pipeline insufficient to meet demand

Chi

na

13.2

20.7

2030

gro

ssde

man

d

Clo

sure

s

Subs

titut

ion

13.1

20.5

~5

2030

net

supp

ly

6.1

2030

dem

and

incl

. gre

en s

hift

+4.6~5

Rec

yclin

g

Ince

ntiv

ized

supp

ly

-4.0

20.5

+2.2

Gre

en s

hift

add.

dem

and

Like

ly G

F ex

pan.

+4.3

N. A

mer

ica

2030

min

esu

pply

Like

ly B

Fex

pan.

2030

net

dem

and

2020

min

esu

pply

cha

nge

2019

min

esu

pply

Oth

er

-0.1

+22.911.7

12.7

2019

dem

and

2020

dem

and

chan

ge

Indi

a24.5 0.4 2.0 0.4 0.4

6.3 33.9-0.3

33.638.6

29.022.92

20.5

+2.4

1. Including mill-head grade corrections2. Full potential supply is 29.5Mt

Source: MineSpans; McKinsey Copper Demand Model Q4 2020; International Copper Study Group

Rest of WorldGreen shift effect China

1.0% CAGR

+9.1

2.9% CAGR

Copper mine supply1 and refined copper demand, 2019-2030, MtBase case scenario

Demand SupplyAdditional supply uncertainties and risks� Environmental risks related to copper extraction might harm chances or delay

environmental permitting processes for new projects or require additional capex� Political instabilities in main producing regions and changes to royalty schemes,

e.g., in South America might limit willingness of investors to fund required greenfield projects

Recycling will play a crucial

role to close the supply gap

Includes 2.2 Mt from renewables

Page 12: Implications of the Global Energy Transition on critical

McKinsey & Company 12

In a disruptive scenario copper demand from the renewable power sector could exceed our base case by 3x

4,1

4,0

Photovoltaic

Parabolic

Copper intensities1, t/MW

Solar

Wind

Solar panels

Inverter Electric panel

Meter

Generator: ~1t of copper

Wiring and tubing: ~2t of copper

Transformers, cables, connectors, switchgear:~1 t of copper

Storage

What you need to believeAnnual Cu demand from renewables, 2020-30, Mt

• Base scenario follows IEA's sustainable development scenario leading to a copper demand from renewables and grid storage of ~2.2Mt in 2030

• China is a major driver for renewables due to the country's decision to become carbon neutral by 2060

• ~2.5Mt of copper will be needed in 2030 for wind and solar power in the disruptive case

• Following Tesla's estimate on grid storage materializes in additional 4.2 Mt of copper, lifting total demand from the renewables sector to 6.6Mt in the disruptive case

4,0Windfarms

3,8Grid storage infrastructure

Source: IEA, McKinsey Energy Insights, websearch

1. Includes grid connectors, transformers etc.2. Solar/Wind - 50% of global coal capacities in IEA's sustainable development scenario are replaced additionally;

Storage - Tesla's assumption on global grid storage is used as disruptive case3. Tesla's scenario

2030 base

1.3

6.6

2020

0.40.50.4

1.8

0.7

4.23

2030 disruptive

0.7

2.2

3x

Solar Wind StorageDisruptive case scenario