Sesion 2.2 141224b NEA-Workshop 31Mar15-Stanford SimonRoberts v5
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Transcript of Sesion 2.2 141224b NEA-Workshop 31Mar15-Stanford SimonRoberts v5
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Colin J. Axon, UK
Nigel H. Goddard, Scotland
Barney D. Foran, Australia
Benjamin S. Warr, France
The Energy-Economy System - extending NEA to the policy-testing framework of 7see
(see www.arup.com/gdp for the Sankey diagram booklet)
March 31st, 2015, Net Energy Analysis Workshop, Stanford Simon H. Roberts Foresight + Research + Innovation, Arup, London
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2
7see for direct energy
A slightly different way of looking at NEA: the 7see approach
Net Energy Analysis (NEA)
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3
Direct Energy for UK oil & gas extraction: 2.8% rising to 5.5%
0.00
0.01
0.02
0.03
0.04
0.05
0.06
1990 2000 2010 2020 2030D
irect
ene
rgy
to o
utpu
t ene
rgy
(rat
io)
year
Direct Energy use for oil & gas extraction
historical
-
4
4. Source of Gross Fixed Capital Formation (GFCF)
5. Calibrate from historical data
6. Configure dynamical system
Key aspects of the 7see approach (references to the Sankey diagram booklet)
1. Fixed Capital (FC) basis of economy
2. Inputs and outputs for each FC
3. Supply shortfall feedback to FC
Vensim
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5
1. The boxes: Fixed Capital (FC) basis of economy (booklet page 10)
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6
2. Boxes and their arrows: inputs and output for each type of Fixed Capital (FC)
(Not using prices; only energy, jobs, and economic volume flows.)
-
7
3. Supply shortfall is the feedback (a dynamic system) via Fixed Capital Formation (FCF) to FC, and thus supply
Vensim
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8
4. Source of Gross Fixed Capital Formation (GFCF) and hence its energy footprint (booklet page 17)
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9
5. Calibrate relationships (time-dependent coefficients) according to historical data: 1990-2012
0
1
2
3
4
5
6
1990 2000 2010 2020 2030
Jobs
(m)
year
Jobs in manufacturing
historical
0
20
40
60
80
100
120
140
1990 2000 2010 2020 2030
Volu
me
outp
ut (
b[19
90]/y
at
basi
c pr
ices
)
year
Volume output of manufacturing
historical
0
5
10
15
20
25
30
35
40
45
50
1990 2000 2010 2020 2030
Jobs
pro
duct
ion
coef
ficie
nt
(jobs
/m
[199
0] a
t bas
ic p
rices
)
year
Jobs per unit output
historical
extrapolation
asymptote
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10
6. Configure dynamic system and run forward for BAU scenario (business-as-usual; exploratory rather than normative)
1. Extrapolate all time-dependent coefficients. 2. Final demand for services adjusted for an unemployment level of 6%.
0
2
4
6
8
10
12
1990 2000 2010 2020 2030
Rat
e (%
)
year
Unemployment
historical
model - BAU
-6
-4
-2
0
2
4
6
1990 2000 2010 2020 2030
Gro
wth
(pro
porti
on p
er y
ear)
year
Growth in GDP
historical
model - BAU
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11
Indirect Energy example: testing a policy of accelerated installation of offshore wind over 2016-2035
Photo: Nysted Offshore Wind Farm
0
10
20
30
40
50
60
1990 2000 2010 2020 2030
Gen
erat
ing
capa
city
(TW
)
year
Generating capacity of offshore wind
model - BAU
3,000 MW/y in 2025 a highly feasible scenario (Pyry Report)
0
10
20
30
40
50
60
1990 2000 2010 2020 2030
Gen
erat
ing
capa
city
(TW
)
year
Generating capacity of offshore wind
model - policy
model - BAU
-
12
Accelerated installation requires more GFCF, which is diverted from final consumption (booklet p17)
100
110
120
130
140
150
160
170
180
190
200
1990 2000 2010 2020 2030
Annu
al e
cono
mic
vol
ume
flow
(
1000
m[1
990]
/y)
year
Investment (GFCF)
model - BAU
100
110
120
130
140
150
160
170
180
190
200
1990 2000 2010 2020 2030
Annu
al e
cono
mic
vol
ume
flow
(
1000
m[1
990]
/y)
year
Investment (GFCF)
model - policy
model - BAU
-
13
Indirect Energy example: consumed, output and payback period
Turquoise line annual increase in output of offshore wind generation
Grey dashed line energy payback
Purple line - energy consumed in construction (derived from tracing GFCF back via intermediate consumption to industries use of energy)
-2.0
-1.6
-1.2
-0.8
-0.4
0.0
0.4
0.8
1.2
1.6
-100
-80
-60
-40
-20
0
20
40
60
80
100
1990 2000 2010 2020 2030
Ener
gy p
ayba
ck p
erio
d (y
)
Wei
ghte
d en
ergy
(PJ/
y o
r PJ/
y)
year
Investment energy required for energy output from offshore wind
output change (PJ/y)energy consumed (PJ/y)payback period (y)
-
14
Sub-year energy payback means total weighted energy is barely changed, while CO2 emissions are reduced
0
2
4
6
8
10
12
1990 2000 2010 2020 2030
Wei
ghte
d en
ergy
(EJ/
y)
year
Total weighted energy
model - BAU
model - policy
0
100
200
300
400
500
600
1990 2000 2010 2020 2030
CO
2 em
issi
ons
(MtC
O2/
y)
year
CO2 emissions
model - BAU
model - policy
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15
Messages
1. For Indirect Energy, can use the (weighted) energy footprint of Gross Fixed Capital Formation (GFCF).
2. The 7see model enables proposals to be set in an economic context, familiar to national policy and decision makers.
3. Explore the 7see-GB model in Vensim by requesting a copy from [email protected], +44 (0)20 7755 2906.
Vensim
The Energy-Economy System- extending NEA to the policy-testing framework of 7see(see www.arup.com/gdp for the Sankey diagram booklet)A slightly different way of looking at NEA: the 7see approachDirect Energy for UK oil & gas extraction: 2.8% rising to 5.5%Key aspects of the 7see approach (references to the Sankey diagram booklet)1. The boxes:Fixed Capital (FC) basis of economy (booklet page 10)2. Boxes and their arrows:inputs and output for each type of Fixed Capital (FC)3. Supply shortfall is the feedback (a dynamic system) via Fixed Capital Formation (FCF) to FC, and thus supply4. Source of Gross Fixed Capital Formation (GFCF) and hence its energy footprint (booklet page 17)5. Calibrate relationships (time-dependent coefficients) according to historical data: 1990-20126. Configure dynamic system and run forward for BAU scenario (business-as-usual; exploratory rather than normative)Indirect Energy example: testing a policy of accelerated installation of offshore wind over 2016-2035Accelerated installation requires more GFCF, which is diverted from final consumption (booklet p17)Indirect Energy example: consumed, output and payback periodSub-year energy payback means total weighted energy is barely changed, while CO2 emissions are reducedMessages