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China coal cumulative production & reserves
1000
900
800
700
600
500
400
reserves BGR +CP
reserves N.Aden
reserves WEC
reserves BP
reserves BGR
U = 200 Gt
U = 150 Gt
cum production
300 200 100
0 1920 1940 1960 1980 2000
year 2020 2040 2060 2080
Jean Laherrere June 2017
Jean Laherrere 18 June 2017
Updating fossil fuels production and CO2 emissions graphs Using the 2017 BP statistical review data fitted to past data, the new graphs are quite different from previous ones because the peaking of world coal production, in particular in China
-China coal production Because the pollution due to particles (and not to CO2) the Chinese coal production has peaked in 2014 at 4 Gt per year Last year my ultimate was 200 Gt, now I prefer 150 Gt BGR reserves (in green) decline in 2016 when BP reserves (in red) increase sharply! WEC reserves were very high in 1920 declining down to 1990 and increasing again in 2004
All these reserves estimates vary but added to the cumulative production an ultimate of 200 Gt looks better than 150 Gt. The linear extrapolation of the coal production for the period 2011-2016 trends towards 120 Gt
Gt
2
My coal production forecast is modeled with both ultimates of 150 Gt and 200 Gt. My production forecast for 2025 is between 2.6 and 3.2 Gt when IEA/WEO 2016 NP is 3.8 Gt and EIA/IEO 2016 is 4.2 (EIA/IEAO 2013 was 4.7 Gt).
The large differences in data show clearly that China coal production is hard to forecast but China needs coal for electricity despite their efforts on sun and wind and nuclear.
Hubbert linearization of China coal production 1900-2016
7
6
aP/CP %
2011-2016
5
4
3
2
1
0 0 2
5 50 75 100 125 150 175 200 225 250
Jean Laherrere June 2017 cumulative production Gt
China coal production for U = 150 & 200 Gt, WEO NP & IEO 5,5
5
4,5
4
3,5
EIA/IEO2013
EIA/IEO2016
WEO 2016 NP Gt
U=200 Gt
U=150 Gt
past
3
2,5
2
1,5
1
0,5
0 1900 1925 1950 1975 2000
year 2025 2050 2075 2100
Jean Laherrere June 2017
annu
al p
rodu
ctio
n G
t aP
/CP%
3
-India coal production India needs more than China electricity from coal because in 2015 about 250 M Indians have no access to electricity when none in China. World Bank provides the percentage of access to electricity from 1990 to 2014: only 85 % has access in 2014 for the world (81% in India) with 1186 M with no access Some country as Mali (27%) have a low access, but it is surprising to see Afghanistan increasing from 0% in 2000 to 90% in 2014!
China coal production & consumption
2000
1800
1600
prod BP 2017
prod EIA 2015
prod EIA 2012 1400
prod 2010 1200
conx BP 2017
1000 cons 2010
800
600
400
200
0 1950 1960 1970 1980
year
1990 2000 2010 2020
source Salvador, BP, EIA Jean Laherrere June 2017
access to electricity: percentage from World Bank
100 China
90 Algeria
80 Egypt
70 Tunisia Pakistan
60 Indonesia
50 Morocco
40 Afghanistan
30 World
20 India Nigeria
10 Mali
0 1990
Jean Laherrere June 2016
1995 2000 2005 2010 2015
year
prod
uctio
n &
con
sum
ptio
n M
toe
perc
enta
ge
4
India coal reserves have varied sharply from BRG or WEC sources and the ultimate is estimated between 80 and 100 Gt
Linear extrapolation of coal production for the period 2010-2016 is about 80 Gt IEA/WEO NP forecasts for 2040 were 1 Gt for WEO 2014 and 1.5 Gt for WEO 2016: quite a change8
India coal cumulative production & reserves
140
130
120
110
100
90
80
70
60
50
40
30
20
10
0 1850
reserves WEC+CP
reserves BGR +CP
U = 100 Gt
U = 80 Gt
cum prod Gt
1900 1950 2000 2050
year
2100 2150 2200 Jean Laherrere June 2017
India coal production Hubbert linearization 1815-2016 6
5
aP/CP%
2010-2016
4
3
2
1
0 0 10 20 30 40 50 60 70 80 90 100
Jean Laherrere June 2017 cumulative coal production Gt
aP/C
P %
cu
mul
ativ
e pro
duct
ion
Gt
5
-comparison China and India Coal production are compared as population and access to electricity China coal production has peaked in 2014 at 4 Gt/a, when India will peak around 2050 at 1.4 Gt/a
India coal annual production & forecast
1600 1500 1400
1300 1200 1100 1000
900 800
700 600 500 400 300
200 100
0 1850
WEO2016 NP
WEO2014 NP U = 100 Gt U = 80 Gt
past Mt
1900 1950 2000 2050 2100 2150 2200
Jean Laherrere June 2017 year
China & India coal production & population 1950-2150 4,0 2,0
1,8 3,5
1,6
3,0
1,4 2,5
1,2
2,0 1,0
1,5
1,0
China U=150 Gt
China prod Gt
India U = 100 Gt
India prod Gt
China pop UN2015
India pop UN2015
China access elect G
India access elect G
0,8
0,6
0,4
0,5 0,2
0,0 1925 195
0 1975
2000
2025
2050 2075 2100
2125
0,0 2150
Jean Laherrere Dec 2015 year
coal
pro
duct
ion
Gt
annu
al p
rodu
ctio
n M
t
popu
alat
ion
G U
N 2
015
6
The production per capita was about 3 t for China (ultimate in 2014 and will be only 0.8 t around 2050
Adding China and India for coal production and population shows that coal peak is far from population peak
China & India coal production per capita 1950-2100 3,0
China prod/cap t
2,5 India prod/cap t
2,0 population forecasts UN 2015 ultimate coal Gt: China 150 India 100
1,5
1,0
0,5
0,0 1950 1975 2000 2025
year 2050 2075 2100
Jean Laherrere June 2017
coal
pro
duct
ion
par c
apita
t
7
-World coal production The coal ratio toe/t varies with time from 0.47 to 0.6 on the period 1850-2016
On the coal, cumulative production toe/t varies from 0.51 (2016) to 0.59 (1910)
China + India coal production & population 1950-2150 5,0 3,5 4,5
3,0 4,0
3,5 2,5
3,0 2,0
2,5 China+India coal
1,5 2,0 China+India coal
China+India pop
1,5 1,0
1,0
0,5 0,5 0,0
1925 1950 1975 2000 2025 2050 2075 2100 2125 0,0
2150
Jean Laherrere June 2017 year
coal
pro
duct
ion
Gt
popu
alat
ion
G U
N 2
015
8
In 2016, I did model coal production with an ultimate of 650 Gtoe with a peak in 2014 as around 2060. It is interesting to see that Exxon 2016 forecasts a coal peak around 2025 when IEA/WEO 2015 does not see peaking before
world coal cumulative production in t & toe
400 0,59
350 Gtoe
Gt
toe/t
0,58
300 0,57
250 0,56
200 0,55
150 0,54
100 0,53
50 0,52
0 1800 1825 1850 1875 1900 1925
year
0,51 1950 1975 2000 2025 2050
Jean Laherrere June 2017
4,5
4,0
3,5
3,0
2,5
2,0
1,5
coal production wit a perak in 2014 as inworld coal annual production & forecast 5 cycles for an ultimate of 650 Gtoe & Exxon-Mobil & IEA
H1
H2
H3
H4
H5
all 5 cycles
BP2015
WEO 2015
WEO 2014
WEO 2013 NP
WEO 2012
Exxon 2014
Exxon 2016 past
China BP 2015
1,0
0,5
0,0 1850 1875 1900 1925 1950 1975 2000 2025
year 2050 2075 2100 2125 2150
Jean Laherrere 2016
cum
ulat
ive p
rodu
ctio
n G
t & G
toe
annu
al p
rodu
ctio
n G
toe
toe/
t
9
Today I assume that coal production will soon soften their decline and will not peak again to please the green community and the World Bank!
The linear extrapolation of past production (% annual/cumulative = Hubbert linearization) does not provide any good estimate
world coal production & forecast for U= 650 Gtoe 5,0 7
4,5 3,5
Rutledge Gtoe
Enerdata Gtoe
EIA Gtoe
BP Gtoe
U = 650 Gtoe
Reichl et al Gtce
6,3
4,0 5,6
4,9
3,0 4,2
2,5 3,5
2,0 2,8
1,5 2,1
1,0 1,4
0,5 0,7
0,0 1850 1900 1950 2000 2050
year 2100 2150 2200
0 2250
Jean Laherrere June 2017
world coal production Hubbert linearization 1850-2016 4,0
3,5 3,0
aP/CP%
1930-2002
2002-2011
2011-2016 2,5
2,0
1,5 BRG 2015 reserves + cum prod = 676 Gtoe
1,0
0,5
0,0 0 100 200 300 400 500 600 700 800
Jean Laherrere June 2017 cumulative production Gtoe
Gto
e (=
42
EJ)
aP
/CP
%
Gtc
e
10
The cumulative coal production plus remaining reserves from BP, BGR and WEC shows a wild range between 550 Gtoe and 700 Gtoe. An ultimate of 650 Gtoe looks in line with those estimates.
-Fossil Fuels production and CO2 emissions The new coal forecast is shown in this updated graph for fossil fuels in Gtoe and EJ
11
This FF production is converted into CO2 emissions in tCO2/toe with for coal 4.1, oil 3.1 and for NG 2.4 giving a different display
This FF CO2 emissions is compared to the 4 IPCC RCP scenarios (ECP = extended beyond 2100 to 2500) as the last forecasts from IEA, WEC and ExxonMobil
world fossil fuels production & forecasts 13 544
12 coal 502
11 U=650 Gtoe 461
10 oil 419
9 U= 390 Gtoe 377
8 natural gas 335
7 U= 300 Gtoe 293
6 FF Gtoe 251
5 U= 1350 Gtoe 209
4 EJ 167
3 126
2 84
1 42
0 1850 1900 1950 2000 2050 2100 2150
0 2200
Jean Laherrere June 2017 year
40
world fossil fuels CO2 emissions & production in toe coal 4.1 tCO2/toe
U=650 Gtoe
oil 3.1 tCO2/toe
U= 390 Gtoe
NG 2.4 tCO2/toe
U= 330 Gtoe
FF EIA
CO2 BP2017
U= 1370 Gtoe
FF Gtoe
12,0
35 10,5
30 9,0
25 7,5
20 6,0
15 4,5
10 3,0
5 1,5
0 1850 1900 1950 2000 2050 2100 2150
0,0 2200
Jean Laherrere June 2017 year
GtC
O2
Gto
e
EJ
FF p
rodu
ctio
n G
toe
12
110
100
90
80
70
60
50
40
30
20
CO2 emissions from fossil fuels with 4 IPCC RCP/ECP & other forecasts 30
RCP8.5 FF 27
RCP6 FF
RCP4.5 FF 25
RCP2.6 FF 22
U= 1370 Gtoe 19 WEO2015 NP
16 EXXON2015
14 EXXON2017
CO2 BP2017 11
FF IPCC 8
FF JHL 5
10 3
0 0
-10 -3 1850 1900 1950 2000 2050 2100 2150 2200 2250 2300 2350 2400 2450 2500
Jean Laherrere June 2017 year ExxonMobil 2017 outlook for energy sees peak in CO2 emissions around 2035
WEC (World Energy Council) energy resources were carried out since 1933 and WEC 2016 was the 24th WEC 2016 forecast is based on three scenarios = Modern Jazz, Unfinished Symphony and Hard Rock https://www.worldenergy.org/wp-content/uploads/2016/10/World-Energy- Scenarios-2016_Full-Report.pdf The peak of CO2 emissions is at the most 37 GtC02 in 2040
GtC
O2
GtC
13
It is obvious from all these forecasts by energy agencies that the two IPCC scenarios RCP8.5 and RCP2.6 are unrealistic: there were designed by economists as storylines without any check with energy experts. There are also political views being approved by the 195 countries members of the IPCC Many claims that the temperature in 2100 could reach over 4°C based on RCP8.5, but RCP8.5 will never be reached and corresponds to a storyline from the mind of an incompetent thinker.
It is ever worse with the claim of over 9°C in 2300 with RCP8.5
14
But the claim that 60 to 80% of the fossils fuels should be kept in the ground in order to keep the temperature below 2°C is based on wrong reserves data. The present real fossil fuels reserves correspond about RCP6 and IPCC forecast for RCP is about 2°C in 2100. It is then wrong to claim that a part of the fossils fuels should not be produced. I want to remind that the proven oil reserves are overestimated being political or financial and that the real technical reserves are well below, about 50 % of the so-called proved reserves
15
Most people believe that the IPCC scenarios are about the same probability: they are not they are storylines as written by their designer Dr Nakicenovic
and as stated by the last IPCC report AR5 11-11: No probabilities or likelihoods have been attached to the alternative RCP scenarios (as it was the case for SRES scenarios). Each of them should be considered plausible, as no study has questioned their technical feasibility
WEO 2016 t3.5 end 2015 -conv. crude recoverable resources 2201 Gb -proved reserves 1703 Gb
technical = backdated 2P excl XH technical 2P SciAm 1998
current 1P reserves EIA/OGJ including tarsands +200 Gb Venezuela +175 Gb Canada
first production Orinoco 1979 Athabasca 1967
-omission of probable -incorrect aggregation
excluding 215 Gb Orinoco from 1936 to 1939
Ghawar OPEC fight for quotas +300 Gb = speculative resources al-Husseini 1700 fields
missing compared to 2011
OGJ proved at end 2016 on 5 Dec 2016 issue
1646 Gb
0 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020
Jean Laherrere Dec 2016 year Sources: IHS, USDOE, CAPP, API, OGJ
World remaining oil reserves from political/financial and technical sources
1800
1600
1400
1200
1000
800
600
400
200
rem
aini
ng re
serv
es G
b
16
The famous 2006 Stern report on the economics of climate change (loosing 5% of GDP per year and reaching 560 ppm in 2035 is nothing is done) is completely wrong, being based on equal probability of every scenario and on unrealistic amount of oceanic methane hydrates (more than oil, NG and coal together! impossible because less surface and sedimentary thickness).
The AR5 report sees RCO scenarios followed by ECP scenarios
IPCC SRREN 2011 report displays the 164 different scenarios for CO2 emissions with different colors. Comparing to the forecasts by energy experts it is obvious that most scenarios (in particular the dark ones called baselines) are completely unrealistic, pure wishful thinking, nothing scientific! IPCC omits to add official energy agencies forecasts! Their comparison should hurt these views https://www.ipcc.ch/pdf/special-reports/srren/SRREN_Full_Report.pdf page 802
17
In 2015 Bernard Durand presented in Paris scientific conference for the preparation of COP21 this paper showing that the IPCC RCP scenarios are wrong, except RCP6. But the COP21 is not scientific it is political. -Durand B. & Laherrere J.H. 2015 « Fossil Fuels Ultimate Recovery Appraisal, Clue to Climate Change Modelling » International Scientific Conference 7-10 juin Paris http://aspofrance.viabloga.com/files/BD_Fossils_Fuels_Ultimate_2015.pdf https://aspofrance.org/2015/12/11/fossil-fuel-ultimate-recovery-appraisal-clue-to-climate- change-modeling-december-2015-bernard-durand/
18
19
-Fossil fuels production per capita FF production will peak around 2025, but before FF growth is less than population growth
20
world fossil fuels production & population 12 11 10
9
8
Gtoe
U= 1350 Gtoe
population UN 2015
medium 7 6 5 4 3 2 1
0 1900 1920 1940 1960 1980 2000
year 2020 2040 2060 2080 2100
Jean Laherrere June 2017
world fossil fuels production per capita
1,6
1,4
1,2
1,0
0,8
0,6 FF per capita toe
0,4 forecast
0,2
0,0 1900 1920 1940 1960 1980 2000
year 2020 2040 2060 2080 2100
Jean Laherrere June 2017
FF production per capita has already peaked in 2014 at 1.5 toe and the decline will be fair, but less than the rise since 2002
In 2060 the FF production will be half the peak production of 2014! The nuclear and the renewable have to fill the decline. I doubt that renewable alone will be enough and energy storage has to improve greatly to fill the intermittence of sun and wind.
-Energy transition
annu
al p
rodu
ctio
n to
e an
nual
pro
duct
ion
Gto
e
21
In October 2014, the European Union has agreed to the Energy Transition with a reduction of CO2 emissions from the 1990 level by 40% in 2030) and by 80-95 % in 2050 France has agreed (law of 17 August 2015) to reduce from 1990 their CO2 emissions by 40% in 2030 (and to grow up renewables at 32% of energy consumption) and 75% in 2050 (reduction by 50% of energy consumption)
The world CO2 emissions were 22.5 GtCO2 in 1990 and the forecasts in 2030 are 36 for ExxonMobil 2017, 35 for WEO 2015 NP
BP 2017 and Enerdata 2016 provides CO2 emissions per country The plot of CO2 emissions in log scale shows a continuous rise since 1965 for the world, but a sharp rise for India. European countries CO2 emissions decrease since the first oil shock.
CO2 emissions from fossil fuels with 4 IPCC RCP/ECP & other forecasts 50 14
40 20
RCP8.5 FF
RCP6 FF RCP4.5 FF
RCP2.6 FF
U= 1370 Gtoe
WEO2015 NP
EXXON2015 EXXON2017
CO2 BP2017
FF IPCC
FF JHL
11
30 8
5
10 3
0 0
-10 1850 1875 1900 1925 1950
year 1975 2000 2025
-3 2050
Jean Laherrere June 2017
GtC
O2
GtC
22
The same data plotted with 1990 = 100 The European Union CO2 emissions are today 80% compared to 1990 and the aim to reach 60% of 1990 in 2030 should easily achieved. But China after a sharp rise peaked in 2014 and India rise is unlikely to stop soon. For COP 21 the INDC (Intended Nationally Determined Contributions) China indicates that their CO2 emissions will peak before 2030: it is already done. India indicates reducing the emissions intensity of its GDP by 33% from 2005 level, but without mentioning which GDP
CO2 emissions log scale from BP & Enerdata
100000
world China
US
Germany 10000
UK India
France
world Enerdata 1000
China Enerdata EU Enerdata
100 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030
Jean Laherrere June 2017 year
CO2 emissions 1990=100 from BP & Enerdata
1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030
Jean Laherrere June 2017 year
400
350
300 250 200
150
China
India
world
US
France
Germany
UK
Europ U
aim Europ.U 100
50
0
MtC
O2
log
scal
e 19
90 =
100
23
CO2 MtCO2
GDO current ruppee/5
tCO2/$2011
tCO2/current rupee
tCO2/crore2004
(current rupee, constant rupee or dollar) India CO2 emissions versus GDP
2500 10
2250 9
2000 8
1750 7
1500 6
1250 5
1000 4
750 3
500 2
250 1
0 0 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030
Jean Laherrere June 2017 year
The decline of CO2/GDP varies with the unit of GDP. But it is obvious that the growth of GDP is much larger than the growth of emissions: so, the CO2 emissions could continue to growth and the CO2 emissions per GDP will decline. India INDC does not oblige them to decrease the CO2 emissions! India needs more electricity to give like China access to all and coal is the best answer. India CO2 emissions per capita in 2015 is 1.6 tCO2 compared to 6.7 in China = 4 times more
emis
sion
s MtC
O2
emis
sion
s CO
2/G
DP
24
India & China CO2 emissions per capita
7
6
China tCO2/cap
India tCO2/cap
China/india
5
4
3
2
1
0 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030
Jean Laherrere June 2017 year
It is hard to accuse India to pollute with CO2 when comparing to China! -Conclusions The majority of the world is convinced that the IPCC energy scenarios are forecasts from energy data. No, they are storylines dreamed by economists before 2000. As these SRES scenarios were approved by the 195 IPCC members they cannot be modified, these 40 SRES were only converted from energy (Joule or toe) into 4 radiative forcing’s expressed in W/m2. The majority of the world believes that temperature can be forecasted using model, but it appears that past modeling as the three scenarios) made by J. Hansen in 1988 for 2015 were wrong. No one can prove that IPCC modeling is right because these models cannot model the main GHG which is the water vapor (60% when CO2 contributes only as 26% (Trenberth 1997- Dufresne 2011) and only by blue sky: as far as I know, there is no estimate of CO2 contribution when clouds.) No one can show past modeling fitting present data. It is obvious that the two extremes RCP8.5 and RCP2.6 are impossible, contrary to every reliable energy sources. Everyone quoting forecasts from these impossible scenarios shows that he confuses scientific data and religious claims.
tCO
2/ca
p &
Chi
na/in
dia
25
IPCC means Intergovernmental Panel on Climate Change gathering 195 countries where most have no climate expert. The report “Summary for policy makers” is approved by politicians and does not reflect the bulk of scientific papers of the full report. IPCC was translated wrongly in French as “Groupe d'experts intergouvernementals sur l'évolution du climat” adding the presence of experts which was not in the English title. It is the same with the translation of “Sustainable development” (1987 Brundtland report) into French “développement durable” Confusing “durable” and “sustainable” hides something!
IPCC in their new report should rely on scenarios based on data from reliable agencies (IEA, WEC) and should estimate their probability (but without forgetting that only mean values can be arithmetically added = the arithmetic addition of proved reserves is wrong!) Bankers and financial people uses proved reserves (SEC rules), forgetting that they cannot be added (it is hard to find any notice of such wrong practice: as it is done by everyone it is ok!).
Oil companies relies on SPE proved plus probable (2P) reserves, which can be added( close to mean), but these 2P data are forbidden by the SEC rules. Every oil company listed on the US stock market follows the SEC rules in their annual report, but not when deciding to develop an expensive oil project (the Net Present Value is based on mean (2P) data and not on proved (1P) data).
CO2 emissions from fossil fuels with 4 IPCC RCP/ECP & other forecasts 50 14
40 20
RCP8.5 FF
RCP6 FF RCP4.5 FF
RCP2.6 FF
U= 1370 Gtoe
WEO2015 NP
EXXON2015 EXXON2017
CO2 BP2017
FF IPCC
FF JHL
11
30 8
5
10 3
0 0
-10 1850 1875 1900 1925 1950
year 1975 2000 2025
-3 2050
Jean Laherrere June 2017
GtC
O2
GtC