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Shaping the future of urban mobility - potentiating car

alternatives, increasing environmental and socioeconomic

welfare given car usage and the rise of electric vehicles

A Work Project, presented as part of the requirements for the Award of a Master’s degree in

Finance from the Nova School of Business and Economics.

06-01-2020

Nuno Rafael Rego Campos – 33892

(2)

Shared mobility implies

cost savings and increased

efficiency;

Appification

is

a

key

enabler of new mobility

forms;

Transports mix will favor

electric

car

and

mass

transport.

Shaping the future of urban mobility - potentiating car alternatives, increasing environmental and

socioeconomic welfare given car usage and the rise of electric vehicles

Mass transport and soft modes play a critical role in solving the majority of urban mobility problems that emerged in the last

decades. Despite the benefits of these transportation types, their usage in Portugal is still below its European peers and further

below the desired levels. The car usage reduction, particularly in city centers, should be a main concern of decision-makers as

it interferes in social welfare. Having to deal with the car, alternatively-powered vehicles appear as a solution to face the

environmental problems raised by the excessive GHG emissions to the atmosphere.

Transport is the second

most pollutive sector;

Car dominates transport

demand;

Changes in transports mix

contribute

to

emissions

reduction

in

the

near

future.

Mass

transports

sector

urges

an

increase

in

liberalization;

In 2018, the revenue for

electric

auto

maker

totalized 376 €M;

Shared mobility space is

dominated by ride hailing

companies

Module 1

Module 3

Module 4

This work used infrastructure and resources funded by Fundação para a Ciência e a Tecnologia (UID/ECO/00124/2013, UID/ECO/00124/2019 and Social Sciences DataLab, Project 22209), POR Lisboa

(LISBOA-01-0145-FEDER-007722 and Social Sciences DataLab, Project 22209) and POR Norte (Social Sciences DataLab, Project 22209).

Keywords: CO2 emissions, Electric vehicles, Mass transport, Soft modes.

Abstract

The

share

of

mass

transport and soft modes

in Portugal is below the

European average;

Electric

vehicles

can

increase

environmental

welfare given car usage.

Module 2

(3)

Mass

transport

• Mass transport usage presents several social and environmental benefits when compared to car.

• Mass transport usage in Portugal is below the European Union average and people only use it because of lack of alternatives and its

reduced cost.

Soft

modes

• Soft modes can assume a central role in urban mobility as it solves the major problems we face nowadays.

• Walking, cycling and other soft modes are still less popular in Portugal than in other European countries and its approximation is dependent

on public measures that should be taken.

Car

• Portugal is one of the European Union countries that most rely on passenger car usage.

• The alternative fuels discussion is of the most importance, recognizing the negative impact of internal combustion engines to the

environment in the last decades.

Electric

car mix

scenarios

• Switching the LMA and PMA passenger cars to Renault Zoe or Tesla Model S only would result in 83% or 78% respectively less CO2

emissions per year.

• Accounting only for the change in vehicle power, CO2 emissions are expected to reduce 56% in LMA and 59% in PMA until 2050.

Shaping the future of urban mobility - potentiating car alternatives,

increasing environmental and socioeconomic welfare given car usage and

the rise of electric vehicles

(4)

Less pollutant

Higher energy

usage efficiency

Reduces traffic

Cheaper

More inclusive

Enhances

productivity

Safer

Source: made by the authors based on Reference list 29)

Mass transport present several benefits when compared to car

(5)

Proximity to the

stops

Easiness of

transshipment

Safety and the

route duration

Limited access to

people with

disabilities

Capacity of the

mean of transport

Frequency of

services allied with

lack of punctuality

and reliability

Be

st

featur

es

Maj

or

probl

ems

Major reasons for mass

transport usage

• disability to drive/lack of car

ownership

• lack of alternatives

• cost of utilization

Source: made by the authors based on Reference list 30)

Mass transport systems in LMA and PMA fail to please people needs and

expectations as the major users those forced to rely on this solution

(6)

Portugal needs to improve the capacity and quality of mass means of

transport and implement measures to promote its usage to levels closer to

its peers

Measures recently adopted in Portugal

• Price reduction of the mensal mass transport pass.

• Family pass creation.

State Budget 2020

• Benefit companies that pay social passes to their employees

• Rolling stock acquisition financing to the railroad sector.

• Allow retirees with experience in rolling stock maintenance in

the railroad sector to work to state companies.

8%

4%

7%

11%

9%

11%

10%

9%

7%

8%

3%

5%

7%

7%

0%

2%

4%

6%

8%

10%

12%

%

of

total

t

rans

po

rt

i

n

co

un

try

Graph 30: 2017 Mass transport usage

Trains

Motor coaches, buses and trolley buses

More than price reduction, it is necessary to improve mass

transport quality in Portugal. There is a long way to go to reach

a desirable level of mass transport usage.

Mass transport utilization in Portugal is behind the European

Union average. The train usage is further from the Community

average and below every peer analyzed.

Source: made by the authors based on Reference list 32) to 34)

Source: made by the authors based on Reference list 31)

(7)

• Ensure high levels of predictability and punctuality in

transport,

as

well

as

comfort

and

safety

improvements.

Quality

• Provide a connected network with easy and quick

transshipment between transport modes or lines.

Interchange

• Increase the amount of bus lanes and give mass

transport priority in traffic signals.

Advantages to

cars

Source: made by the authors based on Reference list 35)

Mass transport usage depends on its quality perception, easiness of

interchange and advantages to cars

(8)

Soft modes present several benefits when compared to car

Healthier

Cheaper

Safer

Less pollutant

Reduces traffic

Source: made by the authors based on Reference list 36)

(9)

The use of soft modes in Lisbon and Porto is less significant

than in the majority of its peers cities. The graph also stresses

the massive car usage in the two Portuguese cities.

26%

32%

36%

38%

45%

57%

65%

40%

22%

37%

20%

35%

25%

16%

34%

45%

26%

39%

18%

18%

19%

0%

10%

20%

30%

40%

50%

60%

70%

Graph 31: Type of transportation in European city centers

Owned vehicle

Public transport

Walking, others

In Portugal, more than 50% of car trips are made in distances

below 5 km, and more than 80% in distances until 10km. This

signals the huge potential of soft modes as a viable mode of

transportation, especially in city centers.

Measures adopted in Portugal: Bicycle

• Bicycle path predicted expansion from the actual 2.000km to

10.000km in 2030.

• Appearance of shared and pay-as-you go bicycles in city

centers.

Measures adopted in Portugal: Scooter

• Appearance of pay-as-you-go shared vehicles in city

centers.

Source: made by the authors based on Reference list 30) and 37)

Source: made by the authors based on Reference list 38) to 40)

Soft modes are a viable alternative to car in LMA and PMA, but we are still

behind other comparable cities and the European average

(10)

The reduction of road hazard is a key factor to encourage citizens to give soft modes a stronger importance in their everyday

movements.

Wider walks

Bicycle lanes

Safer

crosswalks

Reduction of

automobiles

Reduction of

velocity limits

Urban design

oriented to

nonmotorists

Bicycle

parking

facilities

The public

bicycle

Measures to increase soft modes usage

Source: made by the authors based on Reference list 41) and 42)

(11)

Since 1991, car ownership in Portugal increased significantly

more than the European Union average. This trend evidence

the growing importance car was given in Portugal in the last

decades.

0

50

100

150

200

250

300

1991

1996

2001

2006

2011

2016

Graph 32: Passenger car ownership growth (1991=100)

EU - 28

Portugal

The car usage in Portugal is substantially higher than in its

comparable countries and in the European Union average. This

stresses a structural reliability on car by the Portuguese

population.

83%

89%

85%

86%

86%

83%

83%

70%

75%

80%

85%

90%

Graph 33: 2017 passenger car usage (% of total transport in

country)

Source: made by the authors based on Reference list 43)

Source: made by the authors based on Reference list 44)

Although the trend is to reduce car usage, we will continue to have to deal

with it and Portugal is one of the most car dependent countries in the

European Union

265

150

(12)

Create carpool lanes

Car usage

restrictions by its

date of

production/emissions

Impose parking

restrictions

Increase parking

charges

Charge a fee to

private cars for

entering in a

“charging cordon”

Increase taxation in

vehicle fuels

City planning more

oriented to a reality

without cars

Source: made by the authors based on Reference list 45)

To reduce car usage, people must be given viable alternatives in terms of

accessibility, costs and comfort - although no other single mode of transport can

offer the same level of flexibility as car, it may be possible using a mix of modes

(13)

Fossil fuel, namely road diesel consumption has been

increasing since 2013. This trend is expected to invert in the

following years, due to the rising of alternative powered

vehicles.

0

1

2

3

4

5

6

2010

2011

2012

2013

2014

2015

2016

2017

M

il

li

on

s

Graph 34: Tonnes of fossil fuel consumption in Portugal

Road Diesel

Unleaded petrol 95

Unleaded petrol 98

The carbon dioxide and nitrous oxide emissions in transport

have been increasing since 2013. In an era of increasing

environmental concern and decarbonization plans, this trend

must be inverted.

5,0

5,2

5,4

5,6

5,8

6,0

6,2

6,4

6,6

6,8

0

50

100

150

200

250

300

350

400

2010

2011

2012

2013

2014

2015

2016

2017

M

il

li

on

s

Graph 35: Tonnes of GHG emissions in transport in Portugal

(carbon dioxide on the right scale)

Methane

Nitrous oxide

Carbon dioxide

Source: made by the authors based on Reference list 46)

Source: made by the authors based on Reference list 47)

The transport sector in Portugal is still highly dependent on fossil fuels and

have been increasing the GHG emissions

(14)

Ethanol

Natural gas

Electricity

Hydrogen

Propane

Biodiesel

Methanol

Source: made by the authors based on Reference list 48)

Several sources of energy can be used as alternatives to traditional internal

combustion engine (ICE) vehicles in order to reduce GHG emissions in

transport

(15)

The number of electric passenger cars registrations represents 83% of the total alternatively-powered passenger cars registrations

in the first three quarters of 2019, establishing the electric car as the major alternative to ICE vehicles. The hybrid electric vehicle

has the higher share of new registrations, with 56% of the total alternative power passenger car registrations.

APV – Alternatively-powered vehicles

• Vehicles powered by some fuel/energy other than traditional

petroleum fuels.

HEV – Hybrid electric vehicles

• Vehicles powered both by electric batteries and petrol.

BEV – Battery electric vehicles

• Fully-electric vehicles with rechargeable batteries and no

fossil fuel engine.

PHEV – Plug-in hybrid electric vehicles

• Vehicles that can recharge the battery through both

regenerative braking and

“plugging in” to an external source

of electrical power.

Source: made by the authors based on Reference list 49)

Source: made by the authors based on Reference list 50)

The winner alternative power until today is electricity, in the form of battery

electric vehicles, plug-in hybrid electric vehicles and hybrid electric vehicles

(16)

53% of the electricity produced in Portugal in 2018 was generated based on renewable sources, which is a better share of

renewables in electricity production than the European Union average. According to PNEC (Plano Nacional de Energia e Clima),

the goal for 2030 is that 80% of the electricity come from renewable sources.

31%

54%

36%

14%

28%

20%

66%

0%

10%

20%

30%

40%

50%

60%

70%

Graph 37: Share of energy from renewable sources 2017

Graph 38: Portugal electricity production by source in 2018

Hydro

Wind

Biomass

Solar

Geothermal

Fossil cogeneration

Natural gas

Coal

Source: made by the authors based on Reference list 51) and 52)

Source: made by the authors based on Reference list 53) and 54)

The high share of renewable sources in electricity production in Portugal can

be an opportunity to reduce emissions in the electric vehicle transition

Renewable

Non renewable

(17)

Since 2010, the number of electric passenger cars new

registrations in Portugal only decreased in 2012, explained by

the

state

incentives

withdrawn.

The

incentives

were

reintroduced in 2015, keeping up to date.

0

2000

4000

6000

8000

10000

2010

2011

2012

2013

2014

2015

2016

2017

2018

Graph 39: Electric passenger cars new registrations in

Portugal

BEV

PHEV

With a CAGR of 121% between 2010 and 2018, the electric

passenger cars fleet in Portugal is following a notorious growth.

At the end of 2018, there were more than 16.000 electric cars

in the Portuguese roads.

0

2 000

4 000

6 000

8 000

10 000

12 000

14 000

16 000

18 000

2010

2011

2012

2013

2014

2015

2016

2017

2018

Graph 40: Electric passenger cars fleet in Portugal

BEV

PHEV

Source: made by the authors based on Reference list 55)

The electric passenger car evolution in Portugal has been substantial in last

years, with a CAGR of 121% in the electric cars fleet from 2010 to 2018

(18)

If until 2016 the share of electric vehicles in Portugal was

below expectations, since then it has been above the

European average, almost doubling the Community average

share in 2019.

0,0%

1,0%

2,0%

3,0%

4,0%

5,0%

6,0%

2011

2012

2013

2014

2015

2016

2017

2018

2019

Graph 41: Electric vehicles share in new registrations

Portugal

EU - 28

The 100% electric proposals of Nissan and Renault dominate

the market in Portugal, being the two responsible for 31% of the

electric passenger cars fleet in Portugal. The Mitsubishi

Outlander PHEV surges in the last place of the podium.

Source: made by the authors based on Reference list 55)

The electric passenger cars market in Portugal is developing faster than its

European peers average

5,3%

2,7%

(19)

The results of this study yield that it takes 69 000km for Renault ZOE and 140 000km for Tesla Model S to environmentally

breakeven. This means that, currently, the total CO2 emissions of a Renault ZOE and a Tesla Model S are higher than an average

car in Portugal ones until each breakeven point.

0

5

10

15

20

25

30

0 km

20 000

km

40 000

km

60 000

km

80 000

km

100

000 km

120

000 km

140

000 km

160

000 km

180

000 km

200

000 km

T

on

ne

s

Km traveled

Graph 43: CO2 marginal emissions per vehicle in Portugal

Average car in Portugal

Renault ZOE - 52kWh

Tesla Model S - 100kWh

Assumptions

• A comparison of similar cars was made, one boosted by

fossil fuels and two others by electric batteries. It was

assumed that the CO2 emissions required for production of

the two types of cars were the same, excluding the

emissions of the battery production. Thus, the electric cars

emissions also account for the battery production emissions.

The average car represents the Portuguese current car fleet

and the emissions in electricity production the current

situation in Portugal.

Source: made by the authors based on Reference list 55) to 62) and Appendix 7

It takes 69 000km for Renault ZOE and 140 000km for Tesla Model S to

environmentally breakeven in Portugal

(20)

Three different scenarios were assumed in this analysis: the current situation, an utopic situation were all cars in Portugal were

Renault ZOEs and a similar situation with Tesla Model S. Since Renault ZOE is a more efficient car than Tesla Model S in terms of

autonomy per battery kWh, it would allow a greater reduction in CO2 emissions. Nonetheless, the emissions evolution in the Tesla

Model S scenario is also quite impressive, yielding a 78% reduction compared to the current scenario.

1 202 465

207 830

258 805

0

200 000

400 000

600 000

800 000

1 000 000

1 200 000

1 400 000

Current emissions

Renault ZOE

emissions

Tesla Model S

emissions

CO2

to

nnes

Alternative scenarios

Graph 44: Yearly emissions of passenger cars in LMA

834 757

144 277

179 663

0

100 000

200 000

300 000

400 000

500 000

600 000

700 000

800 000

900 000

Current emissions

Renault ZOE

emissions

Tesla Model S

emissions

CO2

to

nnes

Alternative scenarios

Graph 45: Yearly emissions of passenger cars in PMA

Source: made by the authors based on Reference list 30) and 60) and Appendix 7

Emissions in LMA and PMA could reduce up to 83% if the Portuguese

passenger cars fleet was electric

(21)

Expanding the analysis to an economic level, the passenger car fleet shift to Renault ZOEs would allow a 65% reduction in

fuel/electricity costs in urban mobility transport in Portugal, from 755

M€ to 268 M€ in LMA and from 524 M€ to 186 M€ in PMA. A

similar situation for Tesla Model S would enable a 56% yearly save in this type of costs.

755

268

334

0

100

200

300

400

500

600

700

800

Current fuel cost

Electricity cost

-Renault ZOE

Electricity cost

-Tesla Model S

Mill

ion

s

Graph 46: Actual and estimated yearly fuel/electricity costs

in LMA

524

186

232

0

100

200

300

400

500

600

Current fuel cost

PMA

Electricity cost

-Renault ZOE PMA

Electricity cost

-Tesla Model S PMA

Mill

ion

s

Graph 47: Actual and estimated yearly fuel/electricity costs

in PMA

Source: made by the authors based on Reference list 63) to 66) and Appendix 7

Fuel/electricity costs in LMA and PMA could reduce up to 65% if the

Portuguese passenger cars fleet was electric

(22)

Accounting only for the change in vehicle power, the CO2 emissions are

expected to reduce 22% until 2030 and 56% unitl 2050 in LMA

Two possible scenarios were created,

one for 2030 and other for 2050 with the

expected electric passenger car share in

total cars. This scenarios include an

estimation of the number of cars, the

emissions in electricity production and

the emissions by ICE vehicles for the

respective years. It is expected that the

share of electric passenger cars in

Portugal will be 14% in 2030 and 50% in

2050.

Accounting

only

for

the

change

in

vehicle power (ignoring transport mix

evolution for 2030 and 2050), the CO2

emissions are expected to reduce 22%

until 2030 and 56% unitl 2050 in LMA.

Source: made by the authors based on Reference list 51), 52) and 67) to 72) and Appendix 8

100%

86%

50%

14%

50%

0%

50%

100%

Current scenario

Scenario 2030

Scenario 2050

Graph 48: Possible scenarios for electric vehicles mixes

ICE cars

Electric vehicles

1 202 465

939 840

525 969

1 202 465

942 013

529 980

0

300 000

600 000

900 000

1 200 000

1 500 000

Current scenario

Scenario 2030

Scenario 2050

Tonn

e

s

Graph 49: LMA yearly cars CO2 emissions

Yearly cars Co2 emissions - ZOE scenario

Yearly cars Co2 emissions - Model S scenario

(23)

Accounting only for the change in vehicle power the CO2 emissions are

expected to reduce 27% until 2030 and 59% unitl 2050 in PMA

Two possible scenarios were created,

one for 2030 and other for 2050 with the

expected electric passenger car share in

total cars. This scenarios include an

estimation of the number of cars, the

emissions in electricity production and

the emissions by ICE vehicles for the

respective years. It is expected that the

share of electric passenger cars in

Portugal will be 14% in 2030 and 50% in

2050.

Accounting

only

for

the

change

in

vehicle power (ignoring transport mix

evolution for 2030 and 2050), the CO2

emissions are expected to reduce 27%

until 2030 and 59% unitl 2050 in PMA.

100%

86%

50%

14%

50%

0%

50%

100%

Current scenario

Scenario 2030

Scenario 2050

Graph 50: Possible scenarios for electric vehicles mixes

ICE cars

Electric vehicles

834 757

605 534

338 880

834 757

606 935

341 464

0

300 000

600 000

900 000

Current scenario

Scenario 2030

Scenario 2050

Tonn

e

s

Graph 51: PMA yearly cars CO2 emissions

Yearly cars Co2 emissions - ZOE scenario

Yearly cars Co2 emissions - Model S scenario

Source: made by the authors based on Reference list 51), 52) and 67) to 72) and Appendix 8

(24)

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54) Associação Portuguesa de Energias Renováveis. 2019.“2018 ELETRICIDADE RENOVÁVEL EM REVISTA”. Accessed December 28. https://www.apren.pt/contents/files/brochura-eletricidade-ren-revista-2018-v6.pdf 55) European Alternative Fuels Observatory. 2019.“Passenger cars”. Accessed December 31. https://www.eafo.eu/vehicles-and-fleet/m1#

56) Renault. 2019.“Renault ZOE”. Accessed November 12. https://www.renault.pt/veiculos-eletricos/novo-zoe.html 57) Tesla. 2019.“Model S”. Accessed November 12. https://www.tesla.com/pt_pt/models

58) INSIDEEVs. 2019.“Tesla Launches New Model S, X With Software-Locked 100-kWh Battery”. Accessed November 12. https://insideevs.com/news/342522/tesla-launches-new-model-s-x-with-software-locked-100-kwh-battery/

59) International Council on Clean Transportation. 2018.“Effects of battery manufacturing on electric vehicle life-cycle greenhouse gas emissions”. Accessed November 12. https://theicct.org/sites/default/files/publications/EV-life-cycle-GHG_ICCT-Briefing_09022018_vF.pdf 60) Observatório ACP. 2018.“Estudo Condutor Português”. Accessed November 12. https://observatorio.acp.pt/estudos/condutor_portugues/24/index.html

61) European Environment Agency. 2016.“Reported CO2 emissions from new cars continue to fall”. Accessed November 12. https://www.eea.europa.eu/highlights/reported-co2-emissions-from-new

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62) EDP Serviço Universal. 2018.“Sabia que 70% da energia fornecida teve origem em fontes renováveis?”. Accessed November 12. https://www.edpsu.pt/pt/origemdaenergia/Folhetos%20de%20Rotulagem/Rotulagem%20de%20energia%20el%C3%A9ctrica%20EDP%20SU%202018.pdf 63) Público. 2017.“Diesel ou gasolina? Carro a gasóleo consome menos 1,5 litros por 100 km”. Accessed November 12. https://www.publico.pt/2017/09/05/economia/noticia/gasoleo-ou-gasolina-carro-diesel-consome-menos-15-litros-por-100-km-1784470

64) Pordata. 2019.“Veículos rodoviários motorizados em circulação: total e por tipo de combustível”. Accessed November 12. https://www.pordata.pt/Portugal/Ve%C3%ADculos+rodovi%C3%A1rios+motorizados+em+circula%C3%A7%C3%A3o+total+e+por+tipo+de+combust%C3%ADvel-3101 65) Pordata. 2019.“Preços da electricidade para utilizadores domésticos e industriais (Euro/ECU)”. Accessed November 12. https://www.pordata.pt/Europa/Pre%C3%A7os+da+electricidade+para+utilizadores+dom%C3%A9sticos+e+industriais+(Euro+ECU)-1477

66) Pordata. 2019. “Preços médios de venda ao público dos combustíveis líquidos e gasosos – Continente”. Acessed November 12.

https://www.pordata.pt/Portugal/Pre%C3%A7os+m%C3%A9dios+de+venda+ao+p%C3%BAblico+dos+combust%C3%ADveis+l%C3%ADquidos+e+gasosos+%E2%80%93+Continente-1265

67) Expresso. 2015.“Portugal será o terceiro país com a população mais envelhecida em 2030”. Accessed December 20. https://expresso.pt/sociedade/2015-07-30-Portugal-sera-o-terceiro-pais-com-a-populacao-mais-envelhecida-em-2030 68) Pordata. 2019.“População residente: total e por grandes grupos etários”. Accessed December 20. https://www.pordata.pt/Municipios/Popula%C3%A7%C3%A3o+residente+total+e+por+grandes+grupos+et%C3%A1rios-390

69) Diário de Notícias. 2019.“Veículos elétricos vão aumentar 40 vezes em Portugal até 2030. Chegam aos 655 mil”. Accessed December 20. https://www.dn.pt/edicao-do-dia/30-abr-2019/veiculos-eletricos-vao-aumentar-40-vezes-em-portugal-ate-2030-chegam-aos-655-mil-10845132.html 70) European Environment Agency. 2017.“Electric vehicles and the energy sector - impacts on Europe's future emissions”. Accessed December 20. https://www.eea.europa.eu/themes/transport/electric-vehicles/electric-vehicles-and-energy

71) Deloitte & APREN. 2019.“Impacto da eletricidade de origem renovável”. Accessed December 22. https://www.apren.pt/contents/files/apren-relatorio-impactos-eletricidade-fer.pdf

72) Bloomberg. 2019.“The World Will Get Half Its Power From Wind, Solar by 2050”. Accessed December 23. https://www.bloomberg.com/news/articles/2019-06-18/the-world-will-get-half-its-power-from-wind-and-solar-by-2050

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Appendix 7 - Electric case study

This table resumes the key features of Renault ZOE and

Tesla Model S cars used in analysis.

This table contains data used in analysis, namely energy costs

and average consumptions.

This table resumes the total amount of cars and the total number

of km per year per car estimated for LMA and PMA in 2017.

This table contains information about the average CO2 emissions

of battery production, ICE cars and electricity production.

Price per diesel liter

1,37 €

Price per petrol liter

1,54 €

Price per electricity kWh

0,22 €

Average consumpion diesel car (l/100km)

5,05

Average consumpion petrol car (l/100km)

6,55

Battery power Autonomy (WLTP)

Renault ZOE

52 kWh

395 km

Tesla Model S

100 kWh

610 km

LMA

PMA

Total amount of cars

1291019

842959

Total number of km per year per car

7322

7785

Average Co2 emission

Battery production/kWh

0,13977 tonnes

ICE car/km

0,00013 tonnes

kWh of electricity produced

0,00017 tonnes

Table 34: Renault ZOE and Tesla Model S battery power and

autonomy

Table 35: CO2 emissions of both ICE and electrical vehicles

Table 36: Fuel and energy costs and consumptions

(27)

Appendix 8 – Electric vehicles scenarios and respective CO2 emissions

This table contains estimations of Portugal, LMA and PMA

population estimations for 2030 and 2050.

This table sumarizes both the estimated % of electricity from renewable sources

and its emissions per kWh for 2030 and 2050.

Tables 39 and 40 presents the estimations of electric cars for

both LMA and PMA in 2030 and 2050.

2030

2050

Cars estimation - Portugal

4,519

4,230

Cars estimation - LMA

1,248

1,168

Cars estimation - PMA

0,756

0,708

Electric vehicles -Portugal

0,655

2,115

Electric vehicles LMA

0,181

0,584

Electric vehicles PMA

0,110

0,354

Values in millions

2018

2030 estimated 2050 estimated

Portuguese population

10,284

9,845

9,216

LMA population

2,84

2,719

2,545

PMA population

1,721

1,648

1,542

Values in millions

2030

2050

Estimated % of electricity from renewable sources in Portugal

86%

92%

Estimated average emission (tonnes) by kWh of electricity produced

0,000051 0,000029

Table 38: Cars and km in LMA and PMA

Table 39: Cars and electric vehicles estimations

Table 40: % of electric cars

2030

2050

LMA

14%

50%

PMA

14%

50%

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