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October 3rdMexico City
Energy Transition and Mobility RevolutionEl Sector Transporte a Futuro; Innovación en el Equipamiento y en la
Gestión del Sistema- Seminario WEC
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McKinsey & Company 2
Objectives for today's session
Share McKinsey’s Energy Insights´perspective on the outlook of the
intersection between the energy sector
and transportation
This is an independent external view of the
challenges and risks for the future in the
energy sector
This perspective is based on fundamental
economics of energy and agnostic of political
considerations
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McKinsey & Company 3
We recently launched McKinsey Energy Insights in Mexico
McKinsey Energy Insights McKinsey’s Global Energy Practice
1,300+ Energy dedicated Practitioners
5
180+
200+
Hubs in Houston, London, Amsterdam,
Warsaw and Singapore
Dedicated specialists
Clients served
Global Practices: Basic Materials, Oil and Gas, Electricity
Power and Natural Gas, Chemicals and Agriculture4
Other industry practices including Advanced Industries,
Automotive and Assembly, Private Equity, etc.22
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McKinsey & Company 4
McKinsey Energy Insights combines consulting and industry expertise with proprietary models, analytics and benchmarks to improve performance
Market Intelligence Performance Improvement
Industry experts
Deep, hands-on industry
expertise
Proprietary data and
benchmarks
Comprehensive benchmarks
using operator-provided data
Operator-proven approach
Working directly with
operators for 20+ years
Forecasting & analytics
Macro-/micro-market analysis
Commercial due diligence
Bespoke analysis
Benchmarking & diagnostics
Performance management
Closely linked to McKinsey’s
restructuring practice
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McKinsey & Company 5
We maintain a suite of integrated models across the energy value chain, providing distinct yet fully consistent market perspectives
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McKinsey & Company 6
Our Global Energy Perspective offers a demand outlook across dimensionsIt covers 146 countries, 30 sectors, and 55 energy products
30
SE
CT
OR
S
Key features of our Global Energy Perspective
Granular coverage
Projections to 2050 for 146
countries, 30 sectors, and
55 energy products
Full transparency and
flexibility
Underlying demand drivers
and ability to customize
scenarios
Global reach, local
expertise
Access to McKinsey’s
expertise from across 100+
local offices, 400+ energy
experts globally, and 20+
industry practices
Illustrative level of detail
Road transport
5 vehicle segments
Passenger cars
2- and 3-wheelers
Vans and pickups
Trucks
Buses
3x3 truck use cases
3 weight classes
3 distance classes
(urban, regional, and
long-haul)
7 powertrains
Gasoline
Battery electric
Plug-in hybrid
Hybrid electric
Natural gas
Liquefied petroleum
gas (LPG)
Diesel
5 fuels
Gasoline
Diesel
LPG
Natural gas
Liquefied petroleum
gas (LPG)
Diesel
5 fuels
Gasoline
Diesel
LPG
Natural gas
Electricity
Annual projections
For 146 countries
2016-2050
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McKinsey & Company 7
Global energy systems are changing rapidly in all dimensionsChanges are occurring across sectors, energy products, and geographies
SE
CT
OR
S
Increased renewables and
power system flexibility
Electrification of
transport and heat
Shift to Asia in energy
exports and investments
Review of subsidy
schemes
Implementation of
CO2 pricing
Growing success of
plastics recycling
Improving battery
technology
Growing middle class in
developing economies
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McKinsey & Company 8
Energy Transition
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McKinsey & Company 9
After a century of growth, global primary energy demand plateaus around 2030This is primarily driven by the penetration of renewable energy sources into the energy mix
Global primary energy demand
Million terajoules (TJ)
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019; IEA Energy Balances (Historical); Smil, V. (Histor ical)
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McKinsey & Company 10
Falling energy intensity offsets the effects of a growing high-income population Despite population growth, energy intensity will decrease across regions given technological improvements
Population Billions
7.8 10.5Total
1.5
1.3
1.2
1.4
1.3
1.1
1.6
0.4
0.4
1.4
Africa
0
India
Other Asia
OECD
China
RoW
3.1
1.7
1.3
1.6
1.4
0.1
0.2
2016 2050
489
India
351
China
219 Other Asia
166 RoW
159 World
(avg.)
146 OECD
143 Africa
100
2010 2020 2030 2040 2050
Other Asia 4
World (avg.) 5
OECD 3
Africa 10
India 10
China 9
RoW 8
7
6
3333
2
2010 2020 2030 2040 2050
GDP per capita2016=100, real value
Energy intensity (TFC/GDP) Megajoule per US dollar, real value (MJ/USD2010)
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019; McKinsey Global Institute Global Growth Model, Global
Deceleration Scenario; UN Population Division, Medium scenario
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McKinsey & Company 11
Energy intensity falls, driven by growing service industry and end-use efficiencyThe decline in energy intensity1 is partially driven by the shift to a service economy
GDP increasingly comes from service sectors, which are
typically less energy intensive
Increasing energy efficiency across sectors reduces energy
needs in end use sectors
Share of services sector in GDP, %
63 6660
40 46 54
52 6135
76 78 80
1995 203515
China
India
United States
Mexico
Energy efficiency indices of selected segments, 2016=100
110
105
100
95
90
85
80
75
70
65
60
55
50
Buildings Residential
(GJ/capita)
Industry Iron and
steel (GJ/t steel)
Transport
Cars (MJ/km)
20 25 30 35 40 45 20502015
1. How much energy we use for every dollar we spend
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 12
Energy demand development reflects local dynamics While most OECD countries see a decline, demand in Africa and India roughly doubles until 2050
Primary energy demand by region, 2016-50Million TJ
CAGR >2% 1-2% 0-1% <0% 2016 2030 2050
OECD Europe
Rest of World
OECD Americas
113 11367
77 71 60
71 81 88
Other Asia
China
OECD Asia Pacific
44 59 75
126 140 123
36 36 30
Middle EastAfrica India
34 46 6533 38 40 36 53 73
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 13
In the following sections, we discuss main developments for each of the fuels
2050
700
650
600
550
500
450
400
350
300
250
200
150
100
50
02016 2020 2025 2030 2035 2040 2045
Gas
Oil
Coal
Renewables and other fuels1 25%
23%
32%
20%
34%
22%
29%
14%
Primary energy demand per fuelMillion TJ
1. Includes biomass, hydro, and nuclear
Share in 2035%
Share in 2050%
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 14
Electricity consumption doubles until 2050, while renewables are projected to make up over 50% of generation by 2035
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McKinsey & Company 15
Electrification drives a doubling of electricity demand by 2050Key electrification end-uses, particularly in buildings and road transport, drive this trend
Road transport
2016=100
Buildings
Industry
Share of electricity in final energy consumption %
19%
Final energy consumption Electrification1
% of final energy consumptionCAGR %
23% 29%
27
2016 2050
<1
3145
2016 2050
2125
2016 2050
2623 35172014 20 29 32 38 41 44 47 2050
100
149
100
116112
203
Electricity
Other fuels
2.1%
.03%
1. Buildings includes residential buildings in OECD Europe and OECD Americas; transport includes passenger cars, trucks, vans, buses, and 2- and 3-wheelers
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
2.1%
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McKinsey & Company 16
EU TCO for medium-duty truck, regional
application
Electrification of road transport helps double electricity demand by 2050Across transportation segments, EV will become the lower cost option
Timing of cost-parity of electric vehicles with fuel vehicles,
based on TCO in the EU
LDT
A/B
MDT
C/D
HDT
E/F
Classes1
Long-haul
truck
Regional truck
Urban truck
City buses
Passenger
cars
Segments 2018 2020 2025 Cost per kilometer normalized to 2016 ICE, %
140
135
130
125
120
115
110
105
100
95
90
0
TCO
parity in
~2023
Increase due to oil
prices, then decrease
due to fuel efficiency
when oil prices
stabilize
2016 18 20 22 24 26 28 2030
ICE BEV
1. Class definitions in EU is defined in weight for trucks (Heavy duty transport (HDT) >16t, Medium duty transport (MDT): 7.5-16t, Light duty transport
(LDT): 3.5-7.5t) and in size/ICE price for passenger cars: (A/B < 4 m and below 20k CHF, C/D:4-5 m, 28-55k CHF, E/F > 4.5 m, >50k CHF
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
2030
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McKinsey & Company 17
With accelerated transition, electricity demand growth increases an extra ~14%In this scenario governments push further electrification to reduce CO2 emissions, despite higher costs
1. Only in OECD Americas and OECD Europe
2. Including food and tobacco, manufacturing, other materials
Global electricity demandThousand TWh
Residential heat pump adoption
% OECD households with heat pumps1
EV commercial vehicle penetration
EVs as % of global new truck sales
EV passenger car penetration
EVs as % of global new passenger car sales
Electrification of industrial heat
% OECD Europe low and medium temp. heat
electrified in selected sectors2
50
45
40
35
30
25
20
CAGR
CAGR
Buildings
Road
transport
Industry
+14% 2.5%
2.1%
2016 2030 2050
2
10
20
24
302050
2035
2018
34
50
1
78
77 42050
2035
2018
81
26
73
23
7
>1
2050
2018
2035 49
80
30
55
55
90
2018
2035
2050
0
85
145
+
All disruptions
Reference Case Additional in acc.case
Reference Case
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 18
Electricity generation: wind and solar are >50% of recent capacity additionsBetween 2015 and 2017, most of net capacity additions has come from intermittent renewables
1 Other includes bioenergy, geothermal, and marine
Net capacity additions%, 100% = yearly average in that period
10%6% 4% 7%
13%
55%68%
46%
30%14%
6%
6%
23% 14%
26%
23%
12%
6%
5%
4%
6%
15%
15%
16%
19%
35%
3%
3%
1%
103GW
2005-20091995-1999 2010-20142000-2004 2015-2017
100% = 118GW58GW 113GW 161GW
Solar
Wind
NuclearOther1
Hydro Gas
Coal
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McKinsey & Company 19
Renewables will be cheaper than existing coal & gas in most regions before 2030The majority of countries will reach this tipping point in the next 5 years
1 Power generation from existing coal and gas power plants in 2018, as share of total
Tipping points When new renewables become cheaper than existingCountry Coal and gas generation1, %
72
55
Vietnam
US California
India
China (North)
US Northwest
Germany
China (South)
Mexico
Spain
Australia
Egypt
Saudi Arabia
49
40
46
51
36
85
76
61
78
72
Coal GasWind onshoreSolar PV
2020 2025 2030 2035 2040
A tipping point
represents a
year when new
renewables
(solar PV,
onshore wind,
or both)
become
cheaper than
existing fossil
fuel plants
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 20
Gas continues to grow its share of global energy demand—the only fossil fuel to do so – then plateaus after 2035
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McKinsey & Company 21
Gas is the only fossil fuel that grows its share of energy demand until 2035This growth happens at declining rates and then plateaus
Natural gas demand by segment1
BCM
2016-35
CAGR %
1995-16
CAGR %
16.3%
2.6%
1.3%
2.0%
3.2%
4.4%
0.7%
0.7%
1.9%
0.3%
2016 Total peak
demand
(2035)
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
4,500 4,000 3,500 3,000 2,500 2,000 1,500 1,000 500 0
2.7 2.21.3
0.6
2035-20501995-2005 2016-20252005-2016 2025-2035
-0.2%
1 Transport segment in many other reports also includes gas use for pipeline transport. This is included in oil and gas industry’s own use above
(73 bcm in 2016)
21.9% 23.2%20.4% 22.5%19.3% 22.2%
Share of total primary
demand %
CAGR
%
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
Industry PowerBuildingsO&G industry own useTransport
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McKinsey & Company 22
Oil demand growth slows down substantially, resulting in a peak in the early 2030s but still significant investment will be required
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McKinsey & Company 23
Oil demand growth is projected to slow, peaking in the 2030s at 108 MMb/dPeak oil demand for road transport happens in 2025, driven by increase adoption of EVs
%
Global oil demand by sector, MMb/d
1990 2000 2010 2020 2030 2040 2050
Road
transport
peak oil
demand
(2025)
Total peak oil
demand
(2033)
70
80
90
105108 106
100100
Power Other Chemicals Other industry Other transport Road transportBuildings
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 24
Net change
relative to 2018
The chemicals sector accounts for most oil demand growth in the next 15 yearsThe strongest declines in demand happen in power and road transport
Oil demand 2018-2035 increase by sector, MMb/d
+46% +46% +23% +1% +9%-2% -72%
6.6
3.1
2.90.2 1.0
3.3
2018 PowerChemicals Road transport
108.3
Aviation Other industry Other 2035
99.8
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 25
Natural gas
Oil
Coal
More efficiency gains,
recycling, and low-
emission feedstock in
iron and steel
More electrification
of EU industry low
& medium temp-
erature heat
3 Accelerated
electrification of
residential heat
More rapid
electrification of
cooking in non-
OECD countries
Increased demand
reduction and
recycling of plastics
4 5 6 7
Efficiency gains
and faster uptake
of low-emission
fuels for aviation
and marine
2 Accelerated cost
reductions for
renewables and
storage
81 Faster uptake of
electric vehicles
Our recently published Accelerated Transition report reviews the impact of eight shifts that would accelerate the energy transition
Source: McKinsey Energy Insights’ Global Energy Perspective November 2018
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McKinsey & Company 26
In the case of an accelerated transition, oil demand could peak before 2025 Assuming governments push for decarbonization, we could reach roughly half of today’s level by 2050
Plastics recycling
% polyethylene from recycled feedstock
Heatandcookingelectrification; industry electrification; and other transport and other
energy sectors
EV commercial vehicle penetration
EVs as % of global new truck car sales
Alternative fuels uptake
% biofuels, natural gas, and electricity in the fuel mix
EV passenger car penetration
EVs as % of global new passenger car sales
133
446
20182035
7778
2050 81
Alternative fuels uptake
% biofuels, natural gas, and electricity in the fuel mix
42035 132018
2010
2423
2050 44
720352018
222673
<1
205049
80
Road
transport
Chemicals
Other
+
+
110
105
100
95
90
85
80
75
70
65
60
55
50
45
40
35
30
25
20
15
10
5
0
2050
-4
Aviation
Marine
Global liquids demand, MMb/d
2030202016
MMb/d
-14
MMb/d
-7
MMb/d
-20
MMb/d
CAGR
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
Reference Case
Additional in acc. Case
31502050
2018 02035
30
20182035 27 14
372050
042
68
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McKinsey & Company 27
Policy targets and projected EV sales per scenario1
Non-ICE sales as % of total new car sales
Publicly announced targets of OEMs
Millions of passenger cars
Publicly committed EV production capacity in 2020 already surpasses the projected EV demand in the accelerated scenario
Source: IEA EV outlook (2017,2018); McKinsey Energy Insights, ICCT; European Parliament Legislative Observatory; Press search
1 Chinese target of 2 million EVs corresponds to ~8% market share. European Union is putting a 20% EV target into place for 2025. Germany and UK consider or have a total ICE sales ban
by 2030 and 2040 2. Not exhaustive: based on OEMs that make up ~30% of today’s car market. No ramp-up assumed for Tesla and VW in ’19 and ’20. 3. Not exhaustive; based on OEMs
that make up ~60% of today’s car market. Nissan-Renault-Mitsubishi (2022) BAIC, Volkswagen, BMW (additional in 2025), Toyota, General Motors and Mercedes (2025).
2025
2020
2040
2030
Policy target Ref case Acc case
0.6
2018
20.9
20202 20253
10.9
16.4
4.2
3.9
Acc. case0
Ref. case0
Other Chines OEMs
BYD
BAIC
Geely
Volkswagen
Tesla
BMW
Nissan – Renault - Mitsubishi
Toyota
General Motors
Mercedes
26.7
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McKinsey & Company 28
Global uptake of EVs will trigger a decline in oil demand for road transportGlobal annual EV sales are expected to exceed 100 million by 2035
1. EV = BEV + PHEV
Uptake by segment for EV1, % of global vehicle sales
# EV sold 2018 2035 2050
0.1M
~0M 0.2M
1.5M
20M
3M
2M
10M
60M
40M
4M
9M
20M
100M
70M
90
80
70
60
50
40
30
20
10
0
2,500 4,000 4,500
Global parc vehicles, all segments Millions
Global parc by segment for EV1, Millions
2018 20 25 30 35 40 45 2050 251430
810
3
270
900
5
190
50
75
15
25
1
2018 35 2050
255
770
2,000
+7% p.a.
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 29
Global carbon emissions peak in 2024 and fall by ~20% by 2050The decrease is driven by a relatively rapid phase-put of coal
Natural gas Oil CoalGlobal energy-related CO2 emissions per fuel, GtCO2 p.a.
35
30
25
20
15
10
5
02050
-22%
Peak in 2024
2-degree pathway1
1.5-degree pathway1
2016 2020 2025 2030 20402035 2045
1. Median of all Intergovernmental Panel on Climate Change (IPCC) scenarios that lead to 1.5 or 2 degree warming or less
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019; IEA; IPCC/IAMC 2-degree and 1.5 degree scenarios
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McKinsey & Company 30
What would need to happen for emissions to decrease to a 1.5-degree scenario?Substantial changes are needed across the entire energy system
Global energy-related CO2 emissions per sector, GtCO2 p.a.
Industry Buildings Other sector
Reference scenario 1.5-degree scenario
Power
30
25
20
15
10
5
0
-66%
2016 2020 2025 2030 2035 2040 2045 2050
1.CCS = Carbon Capture and Storage
2. Steam methane reforming
By 2050 the following would need to happen:
Power: 90% of coal and 80% of gas-fired
generation phased out or combined with CCS1; all
additional power demand generated fossil free
Hydrogen: Grid-powered electrolysis and
SMR1+CSS for hydrogen production becomes cost
competitive to decarbonize hard-to-abate sectors
Road transport: All vehicles EV or on green
hydrogen
Marine: 80% of marine sector electric or on zero-
carbon fuels
Aviation: 60% of flights electric or zero-carbon
fuels
Buildings: 100% of gas- and oil-powered heating
to move to a zero-carbon alternatives
All industries: Gas- and coal-fired heat to be
fossil-free (electric/green): 100% of low and mid
temperature, 50-70% of high, and 50% of heat in
cement production. Historical rates of efficiency
improvement are maintained
Transport
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019; IEA; IPCC/IAMC 2-degree and 1.5 degree scenarios
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McKinsey & Company 31
Mexico’s oil demand is expected to remain almost flat in the future Oil demand for power will disappear and the uptake of EV will make fuels such as gasoline and diesel peak by 2032
1.4%
-0.3%
0.2%
1.2%
-0.2%
-20.7%
Oil and liquids demand – Mexico’s Reference Case, thousand bpd 2016-50 CAGR, %
600
1,200
0
400
200
800
1,000
1,400
1,600
1,800
2,000
2,200
1980 2000 2015 2030 2050
2.0% p.a.
-0.6% p.a. 0.5% p.a.-0.2% p.a.
Refining1 Other transport2 BuildingsPower Industry Road Transport
1st Peak oil demand (2007)
Peak road transport (2032)
2nd Peak oil demand (2038)
1. Also includes other transformation processes (~10% of total)
2. Other transport includes aviation, marine and rail
Source: McKinsey Energy Insights, Global Energy Perspective
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McKinsey & Company 32
This trend will materialize as we reach cost-parity for EVs in the next decadeGasoline and diesel demand in Mexico will peak as electric vehicles become an attractive option in the market
Segments 2018 2020 2030 Post 2030
Small cars
(A / B)4
Medium cars (C / D)5
Luxury cars
(E / F)6
SUVs
(J)7
Cost-parity timing of electric vehicles with fuelvehicles, based on TCO in Mexico11 BEV1 PHEV2
Passenger
cars
Trucks3
2022 2024 2026 2028
Small trucks
(LDT)8
Medium trucks
(MDT)9
Big trucks
(HDT)10
1. Battery Electric Vehicles, only function with electricity; 2. Plug-in Hybrid Electric Vehicle, battery can be recharged but also works with
gasoline; 3. Parity reached for regional hub & spoke distribution (~200km/day); 4. A/B – Smallest cars, usually with an approx. Length of 4
meters; 5. C/D – Medium size cars, also called large family car; 6. E/F – Full-size luxury sedans and the range is limited to just a few models;
7. J – Covers a broad category of vehicles, ranging from SUVs to crossovers; 8. LDT – Light duty transport: 3.5-7.5 tons; 9. MDT – Medium duty
transport: 7.5-16 tons; 10. HDT – Heavy duty transport >16 tons; 11. Considers import tax/duties for imported vehicles
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 33
EVs cost-parity will drive exponential growth of EVs after 2030Electric vehicles could represent ~60% of the new car sales by 2050
0.3
402520
0
6.4
2018
1.2
30
3.5
35
2.3
1.2
10.2
45
14.8
2050
0
7.2
0.3
2
3.9
11.8
17.6
# of EV sold
by 2018
162 K
- K
- K
- K
12 K
Total 12 K
# of EV sold
by 2035
56 K
199 K
53 K
7 K
3,543 K
Total ~4,261 K
# of EV sold
by 2050
252 K
2,322 K
211 K
34 K
14,753 K
Total ~23,043 K
EV parc by segment by 20501,2, million vehicles Buses 2&3 wheelers Trucks Vans & Pick-ups Passenger cars
% of EVs1 of the
Mexican vehicle parc
% of EVs1 of the total
sales
0%
0%
0%
0%
1%
5%
3%
12%
7%
26%
12%
36%
18%
44%
26%
59%
1. EV = BEV + PHEV + HEV
2. Number might not add up due to rounding
Source: McKinsey Energy Insights’ Global Energy Perspective, January 2019
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McKinsey & Company 34
Mobility Revolution
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McKinsey & Company 35
Four mobility technology driven trends – the ACES – will continue to disrupt mobility in cities
Connectivity
and Digiti-
zation
Electrifi-
cation
Shared /
diverse
mobility
Autonomous
driving
From… …To
1% of vehicles
sold have xEV
powertrains
20-40% of new
vehicle sales in
urban areas
forecasted in 2030
to have xEV
powertrains
12% of cars
equipped with
embedded
connectivity
80% of cars
equipped with
embedded
connectivity
From… …To
From… …To
<1% of
passenger miles
travelled currently
carried out
using shared
mobility
Cheaper to use
Shared AVs than
own a car for
90% of
population by
2030
~1% vehicles sold
in 2016 equipped
with basic partial-
autonomous
driving
~6% of
passenger miles
taken in robo-
taxis and robo-
shuttles by 2030
From… …To
SOURCE: McKinsey - Electric vehicles: Growth summary and energy impacts, McKinsey Center For Future Mobility, McKinsey – The future(s) of mobility: How cities can benefit
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McKinsey & Company 36SOURCE: McKinsey Center for Future Mobility
The impacts of trends on mobility in cities is mixed, and without intervention, autonomous and shared mobility trends will inhibit select Vision 2030 objectives Enabler Inhibitor
Impact of mobility trends
Dimensions
Affordability
Efficiency
Convenience
Availability
Sustainability
Electrification
▪ EV lower TCO
may lead to small
reductions in cost
▪ Night freight
delivery could
reduce delivery
miles up to 70%
▪ xEVs reduce
carbon and air
pollutants up to
100% depending
on energy source
▪ No major impact
▪ No major impact
Autonomous
▪ Elimination of driver
reduces taxi costs ~50%
▪ Increases congestion
▪ Companies flood streets
with autonomous stores
▪ AV fleets will primarily
use xEVs
▪ Reduction in traffic
accidents (~90% caused
by human error)
▪ Reduction in accidents
and controlled trip routing
will make system more
predictable
▪ Robotaxis provide on
demand transportation
▪ Robotaxis pull demand
from mass transit
Shared
▪ Micro mobility offers new
low cost solutions
▪ Significant cost savings
will require interventions
to promote pooling
▪ Trips moving from public
transit to TNCs has
increased congestion
(53% of TNC rides were
previously non-car)
▪ Potential increase in
traffic accidents
▪ Emissions impact likely
negative in the short
term from more VMT
▪ Shared mobility
increases ease of
transferring between
modes
▪ Micro mobility increases
accessibility
▪ May undermine public
transit - 25% of e-hailing
previously public transit
Chicago Mobility
Vision 2030
Mobility choices that
are equitable and
affordable for all
A faster, smarter and
more efficient
transportation
network
A system that
contributes to more
sustainable, healthy
and livable
communities
A seamless mobility
experience guided
by data transparency
and privacy
Increased access to
seamless mobility
that is inclusive of all
residents
Net effect
▪ Autonomous shared EVs
can provide mobility at
per mile rates that are
comparable to public
transit
▪ Increased convenience
and lower price point will
lead to more congestion
(~10-20%)
▪ Significant ZEVs vehicle
sales (20-40% personal,
15-20% commercial)
▪ Increasing AV/ADAS
reduces accidents
▪ Connectivity will have
positive but small benefit
without active
engagement from the
city
▪ Residents can hail
transport within minutes
▪ Public transit may
struggle to maintain
coverage
Connected
▪ No major impact
▪ Improved data on trip
information can
improve routing and
transfers
▪ V2V comm. will reduce
accidents
▪ Connected charging
infrastructure will
promote EV adoption
▪ Connectivity allows for
an integrated mobility
platform
▪ Increased cyber risks
▪ Connectivity enables
new forms of shared
mobility (e.g. P2P
sharing)
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McKinsey & Company 37
Modeling impact of trends - 4 scenarios were used to assess the impact of macroeconomic and mobility technology trends on the mobility baseline
Seamless mobilityBaseline Business as usual Unguided adoption
Impact of mobility trends
shaping transportation without
any guidance from city
Impact of macroeconomic
trends while mobility
technology remains unchanged
Impact of city embracing
future mobility and
implementing interventions
City performance today based
on current behavior of citizens
Affordability, avg. % of
income spent on
transport
GHG emissions, MMT
per year from
transportation
Commute times,
minutes per trip
A B
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McKinsey & Company 38
Example - Impact of shared mobility on urban mobility: over half of e-hailing trips are new passenger vehicle miles, causing public concerns over growth in traffic and congestion
B
New
passenger car
trips that
would not
have been
made without
e-hailing
New York City
moved to ban
additional Uber
licenses in
August 2018
due to
increased
congestion and
also set a wage
floor for drivers
Other cities
wrestling with
how to manage
traffic increases
and likely to
respond with
continued
growth
Source of e-hailing growth
Percentage of trips that would have been taken by alternate mode of transport Example
47
18
3
19
12
11
6
4
53
Bus
Walk
Rental car
25Personal
vehicles
Taxi / Limo
New trips
Train
Bicycle
Total E-hailing
Traditional Mobility New Vehicle Trips
SOURCE: McKinsey Center for Future Mobility
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McKinsey & Company 39
54%
46%
1%
23%23%
23%0%
54%
1%
23%0%
15%
17%
10%
10% 1%
17.4
19.5
21.5
Case study - Macroeconomic shifts and new mobility trends will drive higher passenger miles and congestion, but modal mix will improve efficiency, affordability, and sustainabilitySimulation of mobility in North American city 2030, Passenger miles/year by modal split (billions)
Bus
AV Shuttle
Robotaxi
Private car
Rail / ‘L’ Train
Walk/
Micro-mobility
SOURCE: McKinsey Center for Future Mobility
Taxi
Baseline Business as usual
Impact of mobility trends
shaping transportation without
any guidance from city
Impact of macroeconomic
trends without any significant
technological change1
City’s simulated performance
today calibrated on current
commuting patterns1
Business as usual
• Adoption of affordable,
low-capacity could reduce
share of mass public
transit by ~50%
• Share of low occupancy
modes increases from 55%
to 61% of overall PMT
• Without city-led intervention,
congestion is expected to
increase ~16%
Unguided adoption
1 Simulation underestimates current modal share of walking while overestimating use of public transit
CASE STUDY
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McKinsey & Company 40
Case study - Implementing the mobility recommendations can unlock the full potential of new innovative modes of transport to realize Mobility Vision 2030 objectives
Impact of needle-moving interventions in simulation
▪ Subsided AV shuttles provides
affordable transit options
▪ Affordable transit allows for a
mobility charge in the CBD
without decreasing affordability
compared to today
SOURCE: McKinsey Center for Future Mobility
Mobility in City 2030, Passenger miles/year by modal split
Mobility Vision 2030
scenario
Scenario
descriptions
Unguided technology
adoption
Impact of mobility
trends shaping
transportation without
guidance from city
Impact of city guiding
future mobility adoption
through outlined
interventions
Bus
AV Shuttle
Robotaxi
Private car
Rail
AV Bus
Bicycle
1%
46%
10%
15%
17%
10%
21.5
Efficiency -
Promotion of high
capacity modes
increases
passenger miles
reduces
congestion
Expected impact Intervention levers
Affordability -
Adoption of cost-
effective mobility
technologies
reduces cost
Sustainability -
Shift to sustainable
transport reduces
overall GHG
emissions
▪ Expansion of first/last mile modes
increases transportation access,
10% of total trips involve AV
shuttles or micro-mobility
linked to mass transit
▪ Promotion of high-capacity modes
reduces congestion and improves
time to destination
▪ Overall VMT reductions due to shift
towards more shared rides and
public transit
▪ Regulatory pushes for EV fleets
and public transit reduces total
emissions
28%
8%
33%
1%
15%
14%
22.0
CASE STUDY