a quantitative outlook at the future of energy · 2014. 10. 24. · © 2014, gian paolo beretta,...
TRANSCRIPT
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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
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
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© 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
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© 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
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© 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
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© 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)
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© 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
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© 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
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© 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
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© 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
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© 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
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© 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
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© 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)
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© 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
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© 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
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© 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/
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© 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014
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© 2014, Gian Paolo Beretta, “A quantitative outlook at the future of energy”, Northeastern University, Boston, Oct.24, 2014