a quantitative outlook at the future of energy · 2014. 10. 24. · © 2014, gian paolo beretta,...

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© 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014 Unit of energy for this talk: the “toe” (ton of oil equivalent) = the average heating value of 1 metric ton of oil (1000 kg = 7.33 barrels) 1 toe = 10 Gcal = 41.87 GJ = 11,630 kWh 1 toe at $95/bbl costs about $700; 1 toe of oil used in a 52% efficient oil-fired power plant yields 6,050 kWh of electricity; Global yearly consumption of primary energy in 2013: 14 Gtoe A quantitative outlook at the future of energy World energy consumption and resources: an outlook for the rest of the 21st century Average per-capita consumption of primary energy in 2007: North America: 7.2 toe/yr Europe : 3.8 toe/yr World average: 1.9 toe/yr Gian Paolo Beretta Università di Brescia, Italy Average retail price of 6,050 kWh of electricity in 2013 Europe: $1700 (0.28 $/kWh) Mass.: $ 900 (0.15 $/kWh) US average: $ 670 (0.11 $/kWh)

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  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Unit of energy for this talk: the “toe” (ton of oil equivalent) = the average heating value of 1 metric ton of oil (1000 kg = 7.33 barrels)

    1 toe = 10 Gcal = 41.87 GJ = 11,630 kWh • 1 toe at $95/bbl costs about $700;

    • 1 toe of oil used in a 52% efficient oil-fired power plant yields 6,050 kWh of electricity;

    Global yearly consumption of primary energy in 2013: 14 Gtoe

    A quantitative outlook at the future of energy World energy consumption and resources: an outlook for the rest of the 21st century

    Average per-capita consumption

    of primary energy in 2007:

    North America: 7.2 toe/yr

    Europe : 3.8 toe/yr

    World average: 1.9 toe/yr

    Gian Paolo Beretta Università di Brescia, Italy

    Average retail price

    of 6,050 kWh of electricity in 2013

    Europe: $1700 (0.28 $/kWh)

    Mass.: $ 900 (0.15 $/kWh)

    US average: $ 670 (0.11 $/kWh)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Outline

    • HISTORICAL DATA

    • past consumption of primary energy

    • social and economic considerations

    • OUTLOOK, A PLAUSIBLE SCENARIO

    • demographic growth

    • energy needs

    • mix of primary resources

    • certain and presumed energy reserves

    • CO2 release due to energy consumption

    • WHAT CAUSES CLIMATIC CHANGES?

    • global warming versus CO2 concentrations

    • the role of solar activity

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Gto

    e/y

    r =

    bill

    ion

    s o

    f to

    e p

    er

    ye

    ar

    Global consumption and mix of primary energy in the last 150 years

    2013

    2%

    10%

    6%

    21%

    30%

    4%

    27%

    coal

    nuclear

    oil

    natural gas

    hydro biomass

    electric

    solar wind geo

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    year: 1990 2000 2005 2013

    7.2

    4.9

    3.8 4.1

    1.4

    3.2 1.1

    1.3

    0.4

    0.4

    0

    0.5

    1

    1.5

    2

    2.5

    3

    North America

    Japan, Australia, N.Zeland

    Europe OECD

    Ex URSS Central-

    East Europe

    Latin America

    Middel East

    East Asia China Africa South Asia

    Energy consumption (Gtoe/yr) 9.2 10.3 12.0 14.2 Pupulation (billions) 5.3 6.1 6.5 7.1 toe/yr per capita 1.74 1.73 1.85 1.99

    Map: BP statistical review of energy 2007

    Uneven spread of per-capita energy consumption

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    History of per-capita energy consumption

    greek-roman age 0,15 Gtep/yr 0.3 billion 0,5 toe/yr

    year 2000 10,3 Gtep/yr 6.2 billion 1,7 toe/yr

    global consumption population average per capita

    food for survival (3000 kcal/day) 0,11 toe/yr

    after discovery of fire (500.000 years ago) 0,22 toe/yr

    neolithic age, bronze age, iron age 0,45 toe/yr

    greek-roman rural-artisan middle-age economy 0,50 toe/yr

    1800 - England 0,55 toe/yr

    1900 - England 2,8 toe/yr

    2000 - England 3,5 toe/yr

    industrialization

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Correlations between social and economic development

    and per-capita primary energy consumption

    0

    20

    40

    60

    80

    0 1 2 3 4 5 6

    toe/yr per capita

    40

    50

    60

    70

    80

    0

    4

    8

    12

    16

    0

    2

    4

    6

    8

    ILLITERACY (% adults)

    LIFE EXPECTANCY (years)

    INFANT MORTALITY

    (% of born alive)

    Oman Libia

    Iran

    Saudi

    Arabia

    Gabon

    Mongolia

    Venezuela

    Kuwait

    Trinidad

    and Tobago

    0 1 2 3 4 5 6

    toe/yr per capita

    FERTILITY

    (number of born alive per woman)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Pop

    ula

    tion

    in

    bil

    lio

    ns

    Demographic growth outlook

    0

    2

    4

    6

    8

    10

    12

    2000 2020 2040 2060 2080 2100

    Africa South Asia China East Asia Middle East Latin America Ex URSS and Central-East Europe Europe OECD Japan, Australia, New Zeland North America

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Role of scientific and technological research

    Thermodynamic

    efficiency of the

    best-available

    mature

    technology for

    primary energy

    conversion to

    work or

    electricity

    logistic

    scale (linearity is

    typical of a

    learning

    process)

    0.01

    0.1

    1

    10

    1700 1800 1900 2000 2100

    1%

    5%

    30%

    80%

    65%

    50%

    15%

    10%

    3%

    II II

    1- II

    Savery

    N

    ewco

    men

    Watt

    Corn

    ish

    Tri

    ple

    exp

    an

    sion

    Pars

    on

    Ste

    am

    tu

    rb.

    Com

    bin

    ed c

    ycl

    e

    Fu

    el c

    ell

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Role of scientific and technological research

    logistic

    scale (linearity is

    typical of a

    learning

    process)

    0.01

    0.1

    1

    10

    1700 1800 1900 2000 2100

    1%

    5%

    30%

    80%

    65%

    50%

    15%

    10%

    3%

    II 1- II

    Saver

    y

    New

    com

    en

    Watt

    Corn

    ish

    Tri

    ple

    exp

    an

    sion

    Pars

    on

    Ste

    am

    tu

    rb.

    Com

    bin

    ed c

    ycl

    e

    Fu

    el c

    ell

    II

    yr60with)1(1

    d

    dIIII

    II

    t

    Thermodynamic

    efficiency of the

    best-available

    mature

    technology for

    primary energy

    conversion to

    work or

    electricity

    II

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    per

    -cap

    ita

    to

    e/y

    r

    Net effect of :

    + industrialization of least developed countries

    – social and technological improvements in “from well to

    final use” efficiency

    1.4 toe/yr 2100 world average

    Current average standard

    for industrialized

    countries

    3 toe/yr

    Per-capita consumption (forecast)

    0

    1

    2

    3

    4

    5

    6

    7

    8

    2000 2020 2040 2060 2080 2100

    Africa South Asia China East Asia Middle East Latin America Ex URSS and Central-East Europe Europe OECD Japan, Australia, New Zeland North America

    1.7 toe/yr 2000 world average

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Per-capita consumption x population = ...

    Pop

    ula

    tion

    in

    bil

    lio

    ns

    0

    2

    4

    6

    8

    10

    12

    2000 2020 2040 2060 2080 2100

    Africa South Asia China East Asia Middle East Latin America Ex URSS and Central-East Europe Europe OECD Japan, Australia, New Zeland North America

    0

    1

    2

    3

    4

    5

    6

    7

    8

    2000 2020 2040 2060 2080 2100

    toe/

    yr

    per

    ca

    pit

    a

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    … = global primary energy consumption (outlook)

    2000 2000 2000 2020 2040 2060 2080 2100

    Gto

    e/y

    r

    North America

    China

    South Asia

    Africa

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    0.01

    0.1

    1

    10

    1850 1900 1950 2000 2050 2100

    1%

    5%

    30%

    80%

    65%

    50%

    15%

    10%

    3%

    2%

    f 1 - f

    f oil

    natural gas

    coal

    nuclear

    hydroelectric

    wood+hay+biomass

    solar+wind

    50 years

    System’s inertia: history and outlook of market shares

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    … = global primary energy consumption (outlook)

    2000 2000 2000 2020 2040 2060 2080 2100

    Gto

    e/y

    r

    North America

    China

    South Asia

    Africa

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    … = global primary energy consumption (outlook)

    2000 2000 2000 2020 2040 2060 2080 2100

    Gto

    e/y

    r

    North America

    China

    South Asia

    Africa

    coal

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    … = global primary energy consumption (outlook)

    2000 2000 2000 2020 2040 2060 2080 2100

    Gto

    e/y

    r

    North America

    China

    South Asia

    Africa

    coal

    Cumulative till 2100

    natural gas 360 Gtoe

    oil 370 Gtoe

    coal 490 Gtoe

    nuclear 270 Gtoe Cumulative till 2000

    natural gas 60 Gtoe

    oli 110 Gtoe

    coal 150 Gtoe

    nuclear 10 Gtoe

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    0

    100

    200

    300

    400

    500

    600

    700

    800

    900

    1000

    Petrolio Gas naturale Carbone Nucleare

    Gte

    p =

    mil

    iard

    i d

    i te

    p

    Consumi cumulativi al 2000

    Previsione consumo 2000-2100

    Riserve convenzionali accertate + presunte

    Riserve non convenzionali accertate+presunte

    Ulteriori riserve convenzionali probabili

    Ulteriori riserve non convenzionali probabili

    2000

    3000

    20000

    0

    100

    200

    300

    400

    500

    600

    700

    800

    900

    1000

    Petrolio Gas naturale Carbone Nucleare

    Gte

    p =

    mil

    iard

    i d

    i te

    p

    Consumi cumulativi al 2000

    Previsione consumo 2000-2100

    Riserve convenzionali accertate + presunte

    Riserve non convenzionali accertate+presunte

    Ulteriori riserve convenzionali probabili

    Ulteriori riserve non convenzionali probabili

    100

    1000

    10000

    100000

    Petrolio Gas naturale Carbone Nucleare

    Consumi cumulativi al 2000

    Previsione consumo 2000-2100

    Riserve convenzionali accertate + presunte

    Riserve non convenzionali accertate+presunte

    Ulteriori riserve convenzionali probabili

    Ulteriori riserve non convenzionali probabili

    Cumulative consumption till 2000

    Expected cumulative consumption 2001-2100

    Proved and presumed conventional reserves

    Presumed non-conventional reserves

    Additional probable conventional reserves

    Additional probable non-conventional reserves

    Oil Natural gas Coal Nuclear

    Gto

    e =

    bil

    lio

    ns

    of

    toe

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    … = global primary energy consumption (outlook)

    coal

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    The combustion of produces*

    1 toe of coal 4,0 ton of CO2

    1 toe of oil 3,1 ton of CO2

    1 toe of natural gas 2,3 ton of CO2

    *these are rough estimates based on stoichiometry; accurate

    estimates would require full life-cycle well-to-final-use analyses

    CO2 immissions due to primary energy consumption

    The waste-to-energy conversion of ~6 ton of solid urban waste

    saves 1 toe of primary energy and, with respect to landfilling,

    saves overall greenhouse gas emissions by:

    Best technology, controlled landfill – 2,4 ton of CO2(eq)

    Worse technology landfill (uncontrolled) – 17 ton of CO2(eq)

    -

    1 toe of urban waste (~6 ton) – 10 ton of CO2(eq)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -0,4

    -0,2

    0

    0,2

    0,4

    0,6

    0,8

    1

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    T: +0.6 °C

    Global warming since 1850

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    G

    lob

    al te

    mp

    era

    ture

    ch

    an

    ge

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    270

    290

    310

    330

    350

    370

    390

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    CO2: +80 ppm G

    ton

    CO

    2 =

    bill

    ion

    s o

    f to

    n o

    f C

    O2

    C

    O2

    co

    nce

    ntr

    ation

    in a

    tmo

    sp

    he

    re

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    270

    290

    310

    330

    350

    370

    390

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    Annual global

    average

    temperature

    anomaly in

    w.r.to 1850-

    1920 mean

    Annual average

    CO2 conc. at

    Mauna Loa plus

    Law Dome

    DE08, DE08-2,

    DSS IceCores

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -0,4

    -0,2

    0

    0,2

    0,4

    0,6

    0,8

    1

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    CO2: +80 ppm

    T: +0.6 °C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Energy related anthropic immissions are relatively small

    compared to the natural carbon exchanges and reserves of CO2 on Earth

    GtonC

    GtonC GtonC

    8 GtonC/yr

    GtonC/yr

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

    increase

    160 Gton C

    (55% of 300)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

    increase

    440 Gton C

    (55% of 800)

    increase

    160 Gton C

    (55% of 300)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

    atmospheric

    CO2 concentration

    580 ppm

    =

    overall CO2

    1170 Gton C

    increase

    440 Gton C

    (55% of 800)

    increase

    160 Gton C

    (55% of 300)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    270

    290

    310

    330

    350

    370

    390

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    Annual global

    average

    temperature

    anomaly in

    w.r.to 1850-

    1920 mean

    Annual average

    CO2 conc. at

    Mauna Loa plus

    Law Dome

    DE08, DE08-2,

    DSS IceCores

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -0,4

    -0,2

    0

    0,2

    0,4

    0,6

    0,8

    1

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    CO2: +80 ppm

    T: +0.6 °C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Anthropic CO2 concentration Global

    immissions warming

    Question 1: are anthropic CO2 immissions

    responsible for increasing the CO2 concentration

    in the atmosphere?

    Question 2: is the increase in CO2 concentration

    in the atmosphere responsible for increasing the

    mean global temperature?

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Earth’s energy balance

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Albedo (about 32% gets reflected away) Ieff = 930 W/m2

    Earth’s energy balance

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Albedo (about 32% gets reflected away) Ieff = 930 W/m2

    Earth’s energy balance

    4

    4

    )(4

    41

    effEarth

    4

    Earth

    2

    4

    background

    4

    Earth

    2

    eff

    2

    IT

    TR

    TTRIR

    428 KW/m1067.5

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Albedo (about 32% gets reflected away) Ieff = 930 W/m2

    •Temperature with no greenhouse effect T0= 255 K (-18°C)

    Earth’s energy balance

    4

    4

    )(4

    41

    effEarth

    4

    Earth

    2

    4

    background

    4

    Earth

    2

    eff

    2

    IT

    TR

    TTRIR

    97.0

    KW/m1067.5 428

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Albedo (about 32% gets reflected away) Ieff = 930 W/m2

    •Temperature with no greenhouse effect T0= 255 K (-18°C)

    •Would require a 1% increase in I0 to produce 0.6°C increase in T0

    Earth’s energy balance

    eff

    eff

    Earth

    Earth

    41

    effEarth

    4

    Earth

    2

    4

    background

    4

    Earth

    2

    eff

    2

    4

    1

    4

    4

    )(4

    I

    I

    T

    T

    IT

    TR

    TTRIR

    97.0

    KW/m1067.5 428

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Albedo (about 32% gets reflected away) Ieff = 930 W/m2

    •Temperature with no greenhouse effect T0= 255 K (-18°C)

    •Would require a 1% increase in I0 to produce 0.6°C increase in T0 • Measured variations in I0 are less than 0.1%

    Earth’s energy balance

    0.1%

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Temperature with no greenhouse gases T0= 255 K (-18°C)

    CO2 effect as a greenhouse gas

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Temperature with no greenhouse gases T0= 255 K (-18°C)

    •With pre-industrial greenhouse gases (1750) T1= 288 K (+15°C) = T0 + 33°C

    •Corresponds to an additional radiation I = I0 + F =1367 +144 W/m2

    •F, called radiative Forcing, F = 144 W/m2 T1-T0 = 33°C

    can be split between the main greenhouse gases

    64% due to water vapor 92 W/m2 21°C

    21% due to CO2 30 W/m2 7°C

    15% due to CH4, N2O, other 22 W/m2 5°C

    CO2 effect as a greenhouse gas

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Temperature with no greenhouse gases T0= 255 K (-18°C)

    •With pre-industrial greenhouse gases (1750) T1= 288 K (+15°C) = T0 + 33°C

    •Corresponds to an additional radiation I = I0 + F =1367 +144 W/m2

    •F, called radiative Forcing, F = 144 W/m2 T1-T0 = 33°C

    can be split between the main greenhouse gases

    64% due to water vapor 92 W/m2 21°C

    21% due to CO2 30 W/m2 7°C

    15% due to CH4, N2O, other 22 W/m2 5°C

    CO2 effect as a greenhouse gas

    http://www.eea.europa.eu/data-and-maps/figures/atmospheric-concentration-of-ch4-ppb-1/csi013_fig05_ch4_concentration.eps/image_original

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    •Solar radiation I0 = 1367 W/m2

    •Temperature with no greenhouse gases T0= 255 K (-18°C)

    •With pre-industrial greenhouse gases (1750) T1= 288 K (+15°C) = T0 + 33°C

    •Corresponds to an additional radiation I = I0 + F =1367 +144 W/m2

    •F, called radiative Forcing, F = 144 W/m2 T1-T0 = 33°C

    can be split between the main greenhouse gases

    64% due to water vapor 92 W/m2 21°C

    21% due to CO2 30 W/m2 7°C

    15% due to CH4, N2O, other 22 W/m2 5°C

    •IPCC formula

    F-F0 = 5.35 ln(C/C0)

    • F2000-F1850 = 5.35 ln(360/280) = 1.35 for CO2 during 20th century

    • 1.35*33/144 = 0.3°C therefore CO2 accounts for only half of the 0.6°C increase

    • F2100-F1850 = 5.35 ln(580/280) = 3.89 for CO2 during 20th+21th century

    • 3.89*33/144 = 0.9°C is the estimate of T2100-T1850 due to CO2 immissions

    CO2 effect as a greenhouse gas

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

    atmospheric

    CO2 concentration

    580 ppm

    =

    overall CO2

    1170 Gton C

    increase

    160 Gton C

    (55% of 300)

    ΔTCO2 = 0.3°C

    ΔTactual = 0.6°C

    increase

    440 Gton C

    (55% of 800)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CO2 immissions due to primary energy consumption

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Gto

    n C

    O2

    = b

    illio

    ns o

    f to

    n o

    f C

    O2

    1850 1875 1900 1925 1950 1975 2000 2025 2050 2075 2100

    gas

    oil

    coal

    Cumulative till 2000

    1100 Gton CO2

    300 Gton C

    Gto

    n C

    = b

    illio

    ns o

    f to

    n o

    f C

    arb

    on

    11

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Cumulative till 2100

    4100 Gton CO2

    1100 Gton C

    atmospheric

    CO2 concentration

    360 ppm

    =

    overall CO2

    730 Gton C

    atmospheric

    CO2 concentration

    280 ppm

    =

    overall CO2

    570 Gton C

    atmospheric

    CO2 concentration

    580 ppm

    =

    overall CO2

    1170 Gton C

    increase

    160 Gton C

    (55% of 300)

    ΔTCO2 = 0.3°C

    ΔTactual = 0.6°C

    increase

    440 Gton C

    (55% of 800)

    ΔTCO2 = 0.9°C

    ΔTactual = 1.8°C??

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    270

    290

    310

    330

    350

    370

    390

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    Annual global

    average

    temperature

    anomaly in

    w.r.to 1850-

    1920 mean

    Annual average

    CO2 conc. at

    Mauna Loa plus

    Law Dome

    DE08, DE08-2,

    DSS IceCores

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -0,4

    -0,2

    0

    0,2

    0,4

    0,6

    0,8

    1

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    CO2: +80 ppm

    T: +0.6 °C

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    180

    200

    220

    240

    260

    280

    300

    320

    340

    360

    0100200300400

    Historical

    Temperature from

    Vostok Ice Core

    Historical CO2

    Record from Vostok

    Ice Core

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -10

    -7.5

    -5

    -2.5

    0

    2.5

    5

    0100200300400

    Thousands of years before present

    Current levels

    of

    concentration

    appear to have

    never been

    reached in the

    Earth’s history

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    270

    290

    310

    330

    350

    370

    390

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    Annual global

    average

    temperature

    anomaly in

    w.r.to 1850-

    1920 mean

    Annual average

    CO2 conc. at

    Mauna Loa plus

    Law Dome

    DE08, DE08-2,

    DSS IceCores

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    -0,4

    -0,2

    0

    0,2

    0,4

    0,6

    0,8

    1

    1850 1870 1890 1910 1930 1950 1970 1990 2010

    CO2: +80 ppm

    T: +0.6 °C

    However…

    correlation

    appears weaker

    in the last two

    decades

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Correlation appears weaker in last two decades

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    GtonC

    El Niño Anthropic immissions are

    steady,

    fine variations in concentration

    is not as regular.

    Very much affected by the

    natural periodic phenomenon

    known as El Niño (involves

    ocean-atmosphere interactions)

    Irregular fine variations in CO2 concentration

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Artwork by J. Kapusta - from

    S. Brand, Nature 450, 797 (2007)

    CO2

    T

    At 240000 before present, temperature increase is

    before CO2 increase by a 800 years.

    Long-time historical correlation is good but

    with CO2 lagging behind T, not viceversa

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Figure taken from http://www.climate4you.com/. Ice cores show atmospheric CO2 variations to lag behind atmospheric

    temperature changes on a century to millennium scale, but modern temperature is expected to lag changes in atmospheric CO2,

    as the atmospheric temperature increase since about 1975 generally is assumed to be caused by the modern increase in CO2.

    The maximum positive correlation between CO2 and temperature is found for CO2 lagging 11–12 months in relation to

    global sea surface temperature, 9.5–10 months to global surface air temperature, and about 9 months to global lower troposphere temperature.

    The phase relation between atmospheric

    carbon dioxide and global temperature

    (last 50 years)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Figure taken from http://www.climate4you.com/. Ice cores show atmospheric CO2 variations to lag behind atmospheric

    temperature changes on a century to millennium scale, but modern temperature is expected to lag changes in atmospheric CO2,

    as the atmospheric temperature increase since about 1975 generally is assumed to be caused by the modern increase in CO2.

    The maximum positive correlation between CO2 and temperature is found for CO2 lagging 11–12 months in relation to global

    sea surface temperature, 9.5–10 months to global surface air temperature, and about 9 months to global lower troposphere

    temperature.

    The phase relation between atmospheric

    carbon dioxide and global temperature

    (last 20 years)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Question 1: are anthropic CO2 immissions

    responsible for increasing the CO2 concentration

    in the atmosphere?

    Answer: maybe, but it is not certain, and some

    evidence does not confirm it. •yearly immissions (8 Gton C/yr) are 4% of natural exchanges

    •21st century overall immissions account for 2% of the total Earth’s inventory

    •regular immissions versus irregular changes (El Nino)

    •equal increase in North and South emisphere

    Anthropic CO2 concentration Global

    immissions warming

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Question 2: is the increase in CO2 concentration

    in the atmosphere responsible for increasing the

    mean global temperature?

    Answer: there are several doubts, and some

    experimental evidence does not confirm it. •no warming over last 20 years vs continued increase in concentration

    •measured increases in CO2 seem to lag behind measured increases in T, not viceversa

    •large changes on a long time scale of 100000 years lag by about 800 years

    •small changes on a short time scale of 20-50 years lag by about 9-12 months

    Anthropic CO2 concentration Global

    immissions warming

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar

    activity

    Climatic

    changes

    Cosmic

    rays

    Question 3: could climatic changes

    be caused by solar activity?

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Some preliminary observations:

    •during the last few decades also other planets (Mars, Jupiter,

    Neptune and Pluto) and their satellites have shown clear signs of

    warming

    •Mars +0.65°C in the last 30 years

    •data seem well correlated with Earth’s data

    •measured variations in solar irradiance (0.1%) cannot explain

    such large changes

    •changes have been attributed to albedo variations

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Caused by cyclic magnetic phenomena in

    the photosphere, it increases brightness

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Caused by cyclic magnetic phenomena in

    the photosphere, it increases brightness

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar activity: sunspots, flaring, and solar wind

    Caused by cyclic magnetic phenomena in

    the photosphere, it increases brightness

    only of order 0.1%, but it produces flares

    and solar wind (charged particles reaching

    the Earth and the other Planets).

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar wind, deflected by the Earth’s

    magnetic field, shields it from cosmic rays.

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar wind, deflected by the Earth’s

    magnetic field, shields it from cosmic rays.

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

    Cosmic rays favor cloud

    formation by providing

    nucleation sites for water

    vapor condenstation

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar wind, deflected by the Earth’s

    magnetic field, shields it from cosmic rays.

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

    Cosmic rays favor cloud

    formation by providing

    nucleation sites for water

    vapor condenstation.

    Clouds albedo

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar wind, deflected by the Earth’s

    magnetic field, shields it from cosmic rays.

    only of order 0.1%, but…

    Solar activity: sunspots, flaring, and solar wind

    Cosmic rays favor cloud

    formation by providing

    nucleation sites for water

    vapor condenstation.

    Clouds albedo

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    more sunspots → more solar activity →

    more solar wind → fewer cosmic rays →(?)

    fewer clouds → smaller albedo → more

    effective solar heating → global warming.

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Solar activity: sunspots, flaring, and solar wind

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Question 3: could climatic changes

    be caused by solar activity?

    Answer: probably: some evidence does suggest

    this to be the case. •correlation between cloud cover and earth’s albedo

    •correlation between cloud cover and cosmic rays

    •correlation between cosmic rays and solar activity as measured by sunspots

    •correlation between current global cooling and weak sunspot cycle

    Solar

    activity

    Climatic

    changes

    Cosmic rays

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    T and

    CO2 concentrations are

    INTEGRATED effects of

    several phenomena

    Solar activity and

    CO2 immissions are just

    two INSTANTANEOUS

    forcing effects

    Complex modeling (requiring assumptions on

    many many factors)

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Sustainable development is tricky!

    False hopes on single and simple solutions,

    are fed on bad information and cheap futurology.

    They cause waste of resources.

    Examples:

    • the ‘mirage’ of a hydrogen economy

    • market distortions due to impulsive energy policies

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    When Science goes public it requires

    a lot of equilibrium!

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    Climate change is not felt as the most important problem for the future of human kind. There are other more serious priorities (Copenhagen Consensus 2012):

    • - malnutrition in poor countries

    • - alphabetization

    • - deseases (malaria, tuberculosis, AIDS in particular)

    • - availability of vaccins (Ebola?)

    Limiting the effects of climate change is only listed as the 6° position (not cited as global warming)

    It is clear that climate changes, among the many problems that afflict human kind, is still felt as a minor problem.

    Has a serious alert been called for climatic changes?

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    • The primary objective should be to get prepared to

    control and limit the predictable damages that will

    be caused by climate change, whether it be of

    anthropic or natural origin.

    • Do whatever is within certain anthropic reach to

    contain, control, or reduce causes of global

    warming

    • The objective cannot be reduced to just that of

    reducing anthropic CO2 immissions, because there

    is no certainty that they are the only phenomenon

    responsible for the increase in Tgm during the last

    quarter of the last century.

    What should we do?

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    CONCLUSIONS?

    Do your own thinking!

    Don’t jump to conclusions!

    Don’t be afraid of changing your mind!

    Don’t buy it just because everybody buys it!

    Do your research and be critical!

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

    E-mail: [email protected]

    for many updated graphs and data visit www.climate4you.com

    Thank you for your attention

    and, again, for the kind invitation!

    Artwork freely adapted from masterpieces by Jean Michel Folon http://www.folon-art.com/

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014

  • © 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014