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Global Energy Demand Intelligence Road Transport/Future of Mobility McKinsey&Company Inc. Asilomar Conference Session II -- Is Global Oil Demand Peaking?

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Page 1: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

Global Energy Demand IntelligenceRoad Transport/Future of Mobility

McKinsey&Company Inc.Asilomar Conference Session II -- Is Global Oil Demand Peaking?

Page 2: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 1

We are building a fundamental energy demand outlook

Page 3: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 2

Global final energy demand by end-use sector in 2015Million TJ (%)

By road transport segment%, based on Million TJ

Vans & pick-ups

20%

Buses

Trucks

2&3 Wheelers

42%

25%

10%

Passenger cars

100% = 84m TJ4%

Buildings130

(32%)

tra spOther

n ort

28(7%)

Road transport

160(40%)

Industry

84(21%)

SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

100% = 401m TJ

45

36

Electricity0.2

Gasoline

3

Natural gas & LPG

Diesel

100% = 84m TJ

44%

54%

2%

0.3%

By fuel type%, based on Million TJ

Road transport accounted for 20% of global final energy demand in 2015, with passenger cars being the largest segment

Page 4: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 3

We see a peak in global liquids demand by 2037, while road transport peaks already in 2028

Page 5: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 4

Growth of car parc slows down as peak car ownership is expected between 2025 and 2035 in developed world

Page 6: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 5

Increasing regulatory pressure is driving efficiency improvements and electrification

Page 7: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 6

20

60

80

40

30

70

50

10

02015 20 25 30 35 40 45 2050

SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

Impact of road transport drivers on liquids demand(mb/d)

S enaBAU

c rio

Three global trends reduce energy demand

B

C

AGrowth of vehicle parc slows down

Population and GDP growth continue increase in fuel consumption, but growth is slowing down thanks to peak car in developed regions

Increasing fuel efficiency

Move to electric vehicles

Regulation enforces improvements in fuel efficiency of ICE-vehicles and drives electrification

Electrification of cars and other segments is accelerating driven by financial benefits as well as regulation

Electrification and fuel economy gains reduce road transport liquids demand by ~60% in 2050

Page 8: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 7

Cities are increasingly congested and polluted on the current unsustainable path

San Francisco Beijing Lagos

Los Angeles Delhi Tokyo

Page 9: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 8SOURCE: team analysis; Resource Revolution by Heck and Rogers

Aerodynamics

Idling

Land utilization rate▪ A road reaches peak throughput only 5% of the time...

...and even then, it is only 10% covered with cars▪ 50% of most city’s land area is dedicated to streets and roads, parking lots,

service stations, driveways, signals and traffic signs

Engine losses

Energy used to move the personInertia vehicle

Rolling resistance Auxilliary power Transmission

lossesAt least 86%of fuel neverreachesthe wheels

More than 33,000 in US$300B annually in cost

>95% of accidents caused by human error

2.6% driving0.5% sitting in

congestion

The typical American car spends 96% of its time parked

0.8% looking for parking

Privately owned vehiclesMassive waste in the current transport system – car example

Productive useDeaths and injuries

Car utilization rate Tank to wheel energy flow - Gasoline per year on road

Page 10: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 9

McKinsey is at the forefront of the global debate about infrastructure & cities

All publications available on www.mckinsey.com

Page 11: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 10SOURCE: McKinsey

ElectricShared

Global megatrends that are impacting the automotive industry and will likely drive significant change to mobility

4 disruptive technology-driven trends will impact the industry

Autonomous Connected

▪ Shifting markets and revenue pools

▪ Changes in mobility behavior

▪ Adoption of advancedtechnologies

▪ New business models for mobility

Page 12: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

2 Self-driving functionality could lead to a competitive proposition for shared mobility

3 Self-driving – private and shared – vehicles are likely to increase mobility consumption in which case electric vehicles offer lower total cost of ownership

4 An uptake in shared mobility will affect public transit

5 Electric vehicle production at scale could accelerate the battery curve downward

6 Self-driving electric vehicles will have different usage and hence demand different requirements for charging infrastructure

1 An uptake in shared mobility will accelerate electrification, as higher utilization favors the economics of electric vehicles

7 Increasing renewable penetration could accelerate the attractiveness of electric vehicles

8 Self-driving vehicles might accelerate the uptake of IoT applications

McKinsey & Company | 11

El if ation eh cles

Decentrali-zation of energy system

Con ectivity an nternet

o hings

Aut o ousv g

Inf struc

S am b

Public Transit41

2

5

7

3

86

Some of these trends changing the future mobility systems will have reinforcing effects on each other

Key trends

Reinforcing effects

SOURCE: BNEF and McKinsey

Page 13: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 12

▪ Stabilisation of the power grid through flexible demand from EVs▪ Improve the attractiveness of the city to global expatriates

▪ Significant reductions in the CO2 intensity of transport▪ Opportunity to put public assets such as parking lots and excess road space to

productive use as e.g., public parks

▪ Lower cost of door to door travel compared to existing public transport▪ More equitable access to transport services, promoting income equality in

urban environment▪ Greater comfort while travelling and less wasted time in transport

▪ Reductions in vehicle related deaths due to both the safety benefits of autonomous vehicles and modal shifts away from private travel

▪ Many lives saved due to reduced air pollution from vehicles in dense urban environments

▪ More efficient transport systems which impose much lower congestion costs▪ Enables smart investment in public transport and reduces the need for

investment in expensive legacy assets such as metros▪ Future-proofs public infrastructure for an entirely autonomous future

Ancillary benefits

Environmental impacts

Cost and convenience

Health and safety

The end state of the new mobility system will bring significant benefits across all factors and is better than systems in place todayKey benefit Description

Benefits to the overall system

SOURCE: BNEF and McKinsey

Page 14: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 13

North America (31%)

Africa/ ME (15%)

Asia (26%)

Europe (23%)

Latin America (5%)

356

Percent of engagements (n=524)

SOURCE: PSSP client database, FPIS

Sustainability12%

Health Organization

7%Operations

6%

Economic Development

14%

31%

5% Others

23%Infrastructure

Engagements

McKinsey has considerable expertise in cities work, having conducted 500+ projects around the globe over the past 5 yearsStudies 2011 – 2016 (YTD) Type of engagements

148121

869966

~170632

+22% p.a.

Adds to 101% due to rounding

2011 2012 2013 2014 2015 20161 Total

1 forecast: 2016 figure subject to final reporting

Page 15: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 14

We think mobility disruption in cities can happen along 3 majortrajectories

Technology change accelerates but social change is slow, resulting in high uptake of EV/AV but within current ownership models intact

Despite technology readiness, AV adoption remains very low while EV and shared mobility accelerate

Rapid social change, system coordination and deployment of mobility solutions results in a radically different mobility system

Seamless mobility

Private autonomy

Clean and shared

SOURCE: BNEF and McKinsey

Incr

emen

talb

ased

onpo

pula

tion

dens

ityan

dde

velo

pmen

tsta

gePossible path for Pulse

Page 16: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 15SOURCE: McKinsey Future of Mobility Initiative

the city is doing today through evaluation of financial and non-financial incentives

City’s Demographics and Car Pool

▪ Represents how well a city itself is positioned for high EV adoption▪ Includes criteria that evaluate the population and EV and non-EV car market▪ Consists of KPIs such as population, GDP PPP per capita, the wealth of the population, EV charging

infrastructure availability, EV penetration projected 2025 car sales and average car age

OUR APPROACH FOR EV ADOPTION

We have evaluated the cities against 3 criteria most indicativeof high EV adoption: a city’s ability & motivation to act and itsdemographics and car pool

City’s Ability to Act City’s Motivation to Act

▪ Represents how well a city is ▪able to recognize problems and take action to resolve them

▪ Includes both past and currentactions

▪ Delivers a comprehensive overview through the Governance index and understanding of what

Represents how motivated a city is to act and solve its mobility problems

▪ Also includes the pressures and urgency that the city is experiencing to act

▪ Evaluates the motivation by looking at a city’s positioning (innovative and “green”) and at pressures related to EV adoption motivation (pollution and congestion)

City’s demographics and car pool

There are three

major indicators of EV adoption

in a city

Page 17: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 16SOURCE: City Selection Model, City Scope, World Bank Governance Index

All urban areas

All urban areas

Gover-nance effect-tiveness percent-tile>40

Popula-tion> 3m

Popula-tion> 1m

Popula-tion> 3m

All urban areas

All GDP classes

GDPPPP per capita above$35k

GDPPPP per capita above$6k

Car sales in 2025 >100k

8

14

8

To the starting total of 2,600+ cities we have applied several macro criteria and an index model to derive a list of 30 top citiesCity Archetype Macro criteria applied Resulting # of Top 30 cities

Developed, dense areas

Seamless mobility

Developed, suburban sprawl

Private autonomy

Developing, dense areas

Clean and Shared

Index model

30McKinsey & Company 16

Page 18: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

McKinsey & Company | 17

There are clear indicators that the eTruck uptake will be significantly faster than the electric passenger car uptake

Page 19: Global Energy Demand Intelligence Road Transport/Future of ... · 2015 20 25 30 35 40 45 2050. SOURCE: McKinsey Energy Insights’ Global Energy Perspective, BAU Scenario, July 2017

t

w mobility

McKinsey & Company | 18

Implications are identified through a systematic 6-step approach to urbanmobility

▪ What standards are required to ensure the inter-operability of connected vehicles?

What is the impact on urban design themes (e.g. parking) as autonomous vehicles become popular?

What is the new infrastructure offerings that Pulse would need to provide?

SOURCE: Mobility at a tipping Point, McKinsey Center for Business and Environment, 2015

Shaping the system Delivering Mobility

Infrastruc-ture

provsion

Policy & Regula-

tions

Veh e ownershi

models

Urban design

NewMobiliSe vi

What ne offerings are available at city level to augment mobility?

▪ Who would own the autonomous fleets of the future?

▪ How would they impact current public transit systems?

Multi-modaltransit

How can Pulse deliver interconnected and interlinked multi-modal mobility?

Detailed further