Global Electricity Network Feasibility Study fileIntroduction Yan ZHANG (on behalf of Dr. Jun YU)...
Transcript of Global Electricity Network Feasibility Study fileIntroduction Yan ZHANG (on behalf of Dr. Jun YU)...
� Introduction�Data collection�Methodology and modeling�Results of the simulations�Disclaimer and recommendations�Conclusion
Table of contents
IntroductionYan ZHANG
(on behalf of Dr. Jun YU)
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
4
The challenges
Resource shortages
� Disasters like photochemical
smog
� Acid rain and ammonia
pollution.
Environmental pollution
� Global warming
Climate change
The large-scale utilization of fossil energy
has resulted in a series of prominent problems
Oil, 110yrs28%
Natual Gas, 54yrs20%
Coal, 53yrs52%
Proven reserve of fossil fuels
� Occasional resource
shortages
� Fluctuating energy market
5
The challenges
2010 2020 2030 2040 2050
Global energy consumption continues to growGlobal energy consumption continues to grow
� It is estimated that the total global energy consumption will
reach 30 billion tons of coal equivalent in 2050.
� Getting the access to sustainable energy for everyone is a great
challenge.
30 Billion
6
Clean Energy and Interconnection
Load Centers
Wind Energy
Solar Energy
CLEAN ENERGY
• Uneven distribution
• Geographical inconsistency with load
centers
• Enormous amount
7
Clean Energy and Interconnection
INTERCONNECTION
• Supports a balanced coordination of power supply of
all interconnected countries.
• Enables clean energy transmission
• Take advantage of diversity of clean energy.
Increase clean energy consumption
8
Clean Energy and Interconnection
To make use of the
diversity of consumption
load patterns
To take advantage of the
high potential RES basins in
the world
To decrease the reserve
capacity in each region by
pooling reserves across
regions.
Other highlights of interconnectionOther highlights of interconnection
9
Term of Reference and Scope of C1.35
Scope of the WG:To carry out the first known feasibility study for the concept of aglobal electricity network.
The study has to
• Examine technical challenges, potential benefits, economic viability fitting with
global energy policies and environmental impact.
• Adopt one reference long term scenario for consumption and supply volumes.
• Cover now and the year 2050.
Data and scenario 2050
(External sources)
Simulations(CIGRE C1.35)
Which interconnections?
(CIGRE C1.35)
Data collectionGérald SANCHIS
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
11
91
2
13
11
12
10
4
5
6
7
8
3
Input data for electricity generation : forecast by 2050
Source: World Energy Council (WEC) hypothesis on generation and demand (C1.35 model with
13 regions).
6671 TWh
2438 GW
2740 TWh
904 GW 2427 TWh
912 GW
552 TWh
231 GW
4481 TWh
1534 GW
2108 TWh
644 GW
10408 TWh
3106 GW
959 TWh
398 GW
1860 TWh
763 GW
551 TWh
198 GW
2215 TWh
982 GW4885 TWh
1413 GW
2050
39850 TWh
13500 GW
WEC2013
WEC2016
44%
demand
RES53%
WEC provided annual data.
12
Input data for electricity demand by 2050
13
11
5
6
7
8
CIGRE C1.35 survey for present load patterns (source 2015&2016)
3
10
91
2 12
4
Same time reference: UTC time
1, North America2, South America3, Oceania4, North East Asia5, South East Asia6, Central Asia7, South Asia8, Middle East9, Europe10, UPS11, North Africa12, Africa13, Atlantic North
13
13
11
5
6
7
8
3
10
91
2 12
4
����
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Demand pattern 2016 - Worldwide
1, North America 37%
2, Latin America 12%
3, Oceania 14%
4, East Asia 38%
5, South As ia 18%
6, North West As ia 12%
7, South West Asia 12%
8, Middle East 62%
9, Europe 26%
10, UPS 32%
11, North Africa 26%
12, Afri ca 6%
� Comparison of the Max monthly value / min monthly value (Max-min/min)
Season effect
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15
World weather databasedeveloped and maintained by NASA at 0.5x0.625 latitude/longitude spatial resolution
Taking into accountconstructive parameters(PV panel and windturbine).
RES Potential – Load Factor Estimation
16
Interconnections selectedSelection by CIGRE C1.35: • in order to limit the simulation cases -> 20 interconnections,• Preferential paths, taking into account the topography, the present grid and the RES potential.
OHL USC
AC 400 0 1%
DC 41400 7550 99%
85% 15%
17
Interconnections selected
91
2
13
11
12
10
4
5
6
7
8
3
110
OHL-DC 400 km, USC-DC 700 km
OHL-DC 1700 km
20 interconnections, mainly DC links, and Over-Head-Line technology.
1, North America2, South America3, Oceania4, North East Asia5, South East Asia6, Central Asia7, South Asia8, Middle East9, Europe10, UPS11, North Africa12, Africa13, Atlantic North
OHL USC
AC 400 0 1%
DC 41400 7550 99%
85% 15%
18
Unit costsGeneration
Source: after IEA, EIA, IRENA
Production
WACC 7%
Coût CO2 (€/t) 110
CAPEX invest
(€/kW)
fixed OPEX (%
CAPEX/yr)
life
duration
(years)
variable
cost except
CO2
(€/MWh)
CO2
emissions
(t/MWh)
fixed annual
costs
(k€/MW/yr)
variable
cost
(€/MWh)
Hydro 2 300 1,1% 80 0 0 187 0
Biomass 2 441 2,9% 30 49 0 268 49
Nuclear 3 644 1,8% 60 10 0 325 10
Coal CCS 3 804 1,5% 40 15 0,080 342 24
Wind 836 2,5% 25 0 0 93 0
Solar PV 448 1,0% 25 0 0 43 0
CCGT-CCS 1 475 1,5% 30 36 0,037 141 40
CCGT 700 1,5% 30 36 0,370 67 77
OCGT 505 1,2% 30 45 0,469 47 97
19
Unit costsGrid technology
Example:
1000 km, 1GW
360 M€ < OHL-DC < 650 M€
158M€ 158M€
1450 M€ < USC-DC < 2200 M€
Cost DC OHL DC USC AC OHL AC USC AC/DCAC/AC Back to
Back
(M€/km/GW) (M€/km/GW) (M€/km/GW) (M€/km/GW) 2 Converters 2 Substations
(M€) (M€)
Maxi 0,33 1,9 0,25 2,24 316 316
min 0,18 1,27 0,13 1,12 180 180
Source: EU projects
Methodology and modeling
Marc LE DU
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
22
Key ideas
� The value of transmission grids is strongly linked to the economy of power generation mix
� Orders of magnitude :� Power generation ~ 1 000 M€/GW� Transmission line ~ 1 M€/GW/km
� 1 GW power generation ~ 1 000 km transmission lines
� The most expensive part of electric systems is the power generation � it is worth investing in transmission as much as it helps reducing the generation costs
23
Basics of power generation mix for conventional power plants
� For a given load curve to be satisfied, and assuming the grid is a copper plate, the aim is to find the “optimal” power generation mix
� “Optimal” power generation mix :� Objective : minimizes the total cost of generation : CAPEX, fixed OPEX,
variable OPEX� Constraints : balance production and demand on ever y time step.
24
Total cost of generation
� A trade off between fixed costs (CAPEX and fixed OPEX) and variable costs (variable OPEX) must be found
Cost for 1 MW generation(€)
Fixed costs (€/MW/yr)• CAPEX• Fixed OPEX
Variable costs(€/yr)
Production duration (h/yr)
Unit Variable costs (€/MWh)
Annualized
Depends on :• Investments• Life duration• WACC (interest rate)• Operation & Maintenance costs
Depends on :• Efficiency• Fuel costs• CO2 costs
25
Optimal power generation mix
� The choice between base, semi-base or peak generation plants depends on the plant load factor …
� … the plant load factor depends on the load curve
Load(GW)
Unitgeneration
costs
h/yr
h/yr
Monotonic load
to be supplied
x GW base plants
y GW semi-base plants
z GW peak plantsThis power generation mix leads to the minimum total costfor this load curve(under specific assumptions)
26
Limits of rough methods …
�Using monotonic loads for dimensioning power generation mix is limited to strong assumptions :� Dispatchable plants (no run-of-river production suc h as wind,
solar, hydro, …)� No dynamic constraints : no links between the produ ction of 2
time steps ���� no storage, …� Copper-plate grid� …
� If this assumptions are not met, numerical methods are required � ANTARES tool for example
27
Antares a software developed by RTE to simulate balance between supply & demand
� Modeling of hourly scenarios of demand, capacity factors for wind, solar, hydro, etc., availability of power plants, …
� For each hourly scenario, ANTARES optimizes the investments and the unit commitment in order to meet the demand at the lowest cost.
Takes into account the capacity of
interconnections and the flows
between zones.
28
Antares use for prospective grid studies
� The same methodology and tools were used for prospective transmission grid studies
� For example e-highway2050 European Project
� For further explanations :� https://antares.rte-france.com� http://www.e-highway2050.eu
Reinforcement of European Transmission Grid in 2050 depending on various scenarios
29
11 Study cases
� 11 study cases to analyse the value of interconnections and the sensitivity to different factors
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)Comment/rationale
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
wind & PV
CCGT+CCS
CCGT
OCGT
New
Wind &PV
0 No interco Nominal None 110 Base case
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence of grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
Results of the simulations
Marc LE DU & Spyros CHATZIVASILEIADIS
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
31
Recall of major hypothesis
• The 13 zones are seen internally as “copper-plates”, i.e. there is no need of further internal reinforcements to exploit the new interconnections; this is also based on the selection of proper terminal points for each interconnection
• The unit costs for production are the same worldwide.
• There are no limits on the capacities for production or for interconnections.
32
#0 : no interconnection
For each of the 13 isolated zones :
• nuclear, Coal-CCS, hydro and biomass are imposed according to WEC scenario hypothesis
• Gas technologies (CCGT-CCS, CCGT, OCGT), wind and solar are optimized to minimize the total cost.
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
33
#0 : no interconnection
91
2 12
4
5
7
8
Energy Production shares (the surface is proportional to the production)
10
Hydro
Nuclear
Coal-CCS
Wind
Solar
Gas
Biomasse
34
#0 : no interconnection
91
2
13
11
12
4
5
6
7
8
3
Installed capacities (GW)
913
513
682
224
196
123121
110
107
166
1183
970
246
233
177
69
49
48
34
657
502
412
267
239
314
300
360
162
61
139
92
67
55
284
239
242
0
0
0
10
WindSolar
Gas
35
#0 : no interconnection
0 2 000 4 000 6 000 8 000 10 000 12 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)0 500 1 000 1 500 2 000 2 500 3 000 3 500 4 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
� Total cost = 54 €/MWh (70% fixed costs, 30% variable costs)
� RES share = 53%
� CO2 emissions = 850 Mt/yr
23%38%
77%62%
Production capacity : 13 500 GW Production volumes : 39 850 TWh
0 200 400 600 800
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Costs/yr (G€)
Fixed
Variable
Annual costs : 2 150 G€
41%
59 %
Interconnection : 0 GW / 0 G€
36
#1 : reference case with interconnections
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
• Nuclear, Coal-CCS, hydro and biomass are imposed according to WEC scenario hypothesis for each zone
• Gas technologies, wind and solar PV are optimized together with the interconnexions to minimize the total cost
37
#1 : reference case with interconnections
91
2
13
11
12
4
5
6
7
8
3
110
49 [2]
Installed capacities in GW and costs [G€/y] for interconnections
964
513
393
386
228
51149
114
86
166
581
739
579
444
66
1426
0
0
371
1215
95
733
103
21
405
681
128
64
1
0
129
136
9
320
416
76
0
0
0
WindSolar
Gas
10
38
#1 : reference case with interconnections
0 200 400 600 800
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
costs (G€)
no interco
with interco
0 5 000 10 000 15 000 20 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)
no interco
with interco
0 2 000 4 000 6 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
no interco
with interco
� Total cost = 48 €/MWh (-6 €/MWh)� RES share = 76 % (+23 %)� CO2 emissions = 343 Mt/yr (-510)
Prod capacity : 14 920 GW (+1 400) Prod volumes : 40 300 TWh (+440)
Annual costs : 1 820 G€ (-330)
Overall Interconnections : 2 600 GW / 104 G€/yr
More wind
& solar PV
Less gas
… at a lower
cost
39
#1 : reference case with interconnectionsMain results
• 2 600 GW of interconnections are developed (17% of total production capacity)
• These interconnections allow for an increase of wind & solar PV production, replacing an important part of base and semi-base gas production.
– The total cost of the system goes from 54 to 48 €/MWh
– The RES part is increased (53% to 76%)
– The CO2 emissions go down
• The main interconnections capacities are developed around Central Asia, due to
– Good wind capacity factor in Central Asia (40%) and solar capacity factors in South and South-East Asia
– Close to large demand regions : North-East Asia and South-Asia
• Some interconnections possibilities are nor used at all :
– Interconnections to North Atlantic (Greenland)
– Interconnections between North Africa and Europe
– Interconnections between North Africa and the rest of Africa
• Despite its cost, the interconnections between North America and Russia is developed, used in bothdirections and allowing for a connection between Americas and the rest of the world
40
#1bis : modified capacity factors
• As the wind capacity factor in Central Asia has a big influence on the results of case #1, a sensitivity study is achieved :
– Wind capacity factor in Central Asia : 40% � 31%
– Wind capacity factor in North East Asia : 20% � 23%
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
41
#1bis : modified capacity factors
91
2
13
11
12
4
5
6
7
8
3
110
964
570
435
397
235
34152
115
86
334
503
666
1055
662
3
900
0
0
287
1154
189
777
19
0
376
700
126
235
1
0
187
183
0
363
406
75
0
0
0
10
87 [3]
WindSolar
Gas
Installed capacities in GW and costs [G€/y] for interconnections
42
#1bis : modified capacity factors
0 200 400 600
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
costs (G€)
reference #1
Modified wind CF
0 5 000 10 000 15 000 20 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)
reference #1
Modified wind CF
0 2 000 4 000 6 000 8 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
reference #1
Modified wind CF
� Total cost = 49 €/MWh (+1 €/MWh)� RES share = 75 % (-1 %)� CO2 emissions = 330 Mt/yr (-23)
Prod capacity : 15 300 GW (+ 400) Prod volumes : 40 220 TWh (-80)
Annual costs : 1 860 G€ (+40)
Overall Interconnections : 2 560 GW (-40) / 96 G€/yr (-8)
More wind
capacity
For a lower
production
And an
increased cost
43
#1bis : modified capacity factorsMain results
• Modifying the wind capacity factors in central Asia (40% to 31%) and Northern Asia (20% to 23%) does not change the global view of installed capacities for production and interconnections.
• However it modifies the location of production and interconnections
– Less wind capacities are developed in Central Asia (but they remain very high)
– Replaced by more wind and solar capacities in South-East Asia (good capacity factors for both production)
– The big interconnections capacity between North East Asia and Central Asia is replaced by the same level of interconnections between North East Asia and South East Asia.
44
#3 : high cost of interconnections
• We use maximum instead of minimum values of interconnections unit costs
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
45
#3 : high cost of interconnections
91
2
13
11
12
4
5
6
7
8
3
110
917
940
558
329
163
44124
110
104
248
628
742
718
475
76
1213
0
0
291
991
152
369
553
177
232
1
14
129
126
13
333
360
113
0
0
0
10
41 [3]
644
191
45
WindSolar
Gas
Installed capacities in GW and costs [G€/y] for interconnections
46
#3 : high cost of interconnections
0 200 400 600
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
costs (G€)
reference #1
Max cost of interco
0 5 000 10 000 15 000 20 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)
reference #1
Max cost onf interco
0 2 000 4 000 6 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
reference #1
Max cost of interco
� Total cost = 50 €/MWh (+ 2 €/MWh)� RES share = 73 % (-3 %)� CO2 emissions = 444 Mt/yr (+101)
Prod capacity : 14 790 GW (-140) Prod volumes : 40 127 TWh (-172)
Annual costs : 1 880 G€ (+60)
Overall Interconnections : 1 911 GW (-687) / 106 G€/yr (+2)
less wind and
solar PV
More gas
… at a higher
cost
47
#3 : high cost of interconnectionsMain results
• Increasing the costs of interconnections leads to lower their development : 1900 GW instead of 2600 GW (-26%) for the same cost
– It concerns all the interconnections, especially the longer ones : the interconnection between North America and Russia goes from 161 to 41 GW
• The interconnection level still remains high (12% of the production capacities).
• The total system cost is a bit higher (from 48 to 50 €/MWh).
• As the production is more local, more gas is needed, which impacts the CO2 emissions and the RES share.
48
#4 & 5 : Daily storage
• The sensitivity of a daily storage is simulated, assuming that 10% of energy of the daily demand in each zone could be moved within the day, with an efficiency of 90%. Two kinds of “flexibility” are simulated
– Case #4 “low power” storage : the ratio energy/power of the storage is 5 h
– Case #5 “high power” storage : the ratio energy/power of the storage is 1 h
• No cost hypothesis is taken : we assume the storage is “for free”
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
49
#5 : Daily storage – high power
91
2
13
11
12
4
5
6
7
8
3
110
827
979
272
351
378
0153
168
33
166
758
449
221
1322
14
1318
0
0
444
1908
0
560
479
0
504
214
83
1
1
0
116
127
3
318
469
21
0
0
0
10
24 [11]
WindSolar
Gas
Installed capacities in GW and costs [G€/y] for interconnections
50
#5 : Daily storage – high power
0 200 400 600
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
costs (G€)
reference #1
Daily storage - high power
0 5 000 10 000 15 000 20 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)
reference #1
Daily storage - high power
0 2 000 4 000 6 000 8 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
reference #1
Daily storage - high power
� Total cost = 46 €/MWh (- 2 €/MWh)� RES share = 80 % (+4 %)� CO2 emissions = 222 Mt/yr (-121)
Prod capacity : 15 765 GW (+837) Prod volumes : 40 681 TWh (+382)
Annual costs : 1 727 G€ (-92)
Overall Interconnections : 2 632 GW (+34) / 88 G€/yr (-16)
More solar PV
Less wind & gas
51
#4 : Daily storage – low power
0 200 400 600
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
costs (G€)
reference #1
Daily storage - low power
0 5 000 10 000 15 000 20 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Production (TWh)
reference #1
Daily storage - low power
0 2 000 4 000 6 000 8 000
Hydro
Biomasse
Nuclear
Coal CCS
Wind
Solar PV
CCGT-CCS
CCGT
OCGT
Installed capacity (GW)
reference #1
Daily storage - low power
� Total cost = 47 €/MWh (- 1 €/MWh)� RES share = 78 % (+3 %)� CO2 emissions = 277 Mt/yr (-66)
Prod capacity : 14 828 GW (-100) Prod volumes : 40 506 TWh (+207)
Annual costs : 1 775 G€ (-43)
Overall Interconnections : 2 537 GW (-61) / 102 G€/yr (-2)
52
#4 & 5 : Daily storageMain results • Considering a possible daily storage does not change the global level of interconnection
• However it changes the repartition and the location of production
– Daily storage promotes Solar PV production, replacing partly wind and gas production, specially for “high power” storage
– Depending on the location, this leads to :
• Lower interconnection capacities, where they were due to wind productions
• Higher interconnection capacities for links between North East Asia and South & South East Asia, with a big development or solar capacities in those two regions
– The increase of capacity on these two interconnections compensates the lower capacities elsewhere.
• The results are sensitive to the “power” of the storage : to promote the solar PV, a high power is required
– For low power daily storages, the development of solar PV is not enough to significantly modify the interconnections level.
53
#8 : Solar PV Only
• As a very theoretical test, we try to design the production and interconnexions system if the only production source allowed was solar PV.
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
54
#8 : Solar PV Only
9
13
11
12
5
6
7
8
3
110
261 [10]
0
16 840
0
14 2480
19 093
0
537
0
2127
0
495
0
4 908
0
992
0
1 099
0
6
0
778
0
777
0
0
10
2
1
4
WindSolar
Gas
Installed capacities in GW and costs [G€/y] for interconnections
55
#8 : Solar PV OnlyMain results
• The “solar PV only” case study leads to huge levels of
– production capacities : 62 000 GW are installed (more than 4 times the capacities of reference case #1)
• The capacities are installed worldwide, with big capacities in Oceania, North America and Latin America, to get the benefits of both seasonal and daily complementarity of productions
– Interconnections : 24 000 GW worldwide (38% of production capacities – 45% of system costs)
0
5
10
15
20
25
TWh
Hourly production & load
Prod totale Conso totale
• This leads to 97 000 TWh of production
– including 57 000 TWh of spillage (52 000 TWh) and losses (5 000 TWh), to satisfy a 40 000 TWhload
• The total system cost is 120 €/MWh
– compared to 48 €/MWh for reference case #1
Production
Load
56
#9 : Solar PV + wind Only
• Same as 8, but for solar PV + wind as candidates for production
Production
capacity case
#
IntercoWind &
Solar CFstorage
CO2
(€/t)comment
imposed optimized costs losses
According
to WEC :
- Nuclear
- Coal +
CCS
- Hydro
- Biomass
Existing
solar & PV
CCGT+CC
S
CCGT
OCGT
Solar PV
Wind
0 No interco Nominal None 110 reference system cost
1 Ref Y Nominal None 110 value of interco
1 bis Ref YModified
4&6None 110 influence of CF
2 Ref No Nominal None 110 influence of losses
3 Max Y Nominal None 110 Influence grid cost
4 Ref Y NominalDaily - low
power110
influence of storage5 Ref Y Nominal
Daily - high
power110
6 Ref Y Nominal Seasonal 110
7 Ref Y Nominal None 30 influence of CO2 price
None
PV only 8 Ref Y Nominal None -Would it even be possible
?PV +
Wind9 Ref Y Nominal None -
57
#9 : Solar PV + wind Only
9
13
11
12
5
6
7
8
3
110
1 530
1 017
833
987337
384
512
1 791
1 644
515
1 616
0
1 007
1 341
2 053
0
1 260
1 529
1 760
0
1 480
1 187
601
852
1 334
0
10
2
1
4
849 [31]
WindSolar
Gas
Installed capacities in GW and costs [G€/y] for interconnections
58
#9 : “Solar PV + wind”Main results
• Compared to the “solar PV only” case #8, this case study shows the complementarity of wind and solar, thanks to the interconnections.
• It leads to :
– 26 000 GW production capacities : 16 000 GW for wind + 10 000 GW for solar PV
– 7 800 GW of interconnections (30% of production capacities – 18% of system costs) : all interconnections are used, with very big capacities around Central Asia and Middle East
• The production is still very high : 62 000 TWh
– including 22 000 TWh of spillage (21 300 TWh) and losses (700 TWh), for a 40 000 TWhload
• The total system cost is more acceptable : 58 €/MWh
– compared to 48 €/MWh for reference case #1
– and compared to 54 €/MWh for base case #00
5
10
15
20
25
TWh
Hourly production and load
Prod totale Conso totale
Production
Load
Disclaimer and recommendations
Antonio ILICETO
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
60
Disclaimer: limits of this concept-study
• The limits of the pre-feasibility study:– Few electrical nodes, rough model, the uncertainties, ….
– Political/social barriers to intercontinental interconnections are not taken into account. • They require mutual trust, and reliance on each other’s support during scarcities, as well as trading rules. Trust
and trading rules are pre-requisites for the large investments in interconnections that the study suggests wouldbenefit the world.
• The realisation of such global interconnection woul d heavily depend on:– Assessing technical, environmental and economic viability (inside this study, at preliminar level) – Consolidating assumptions and evaluation models to be shared and agreed both locally and globally – Assessing operational issues and interoperability– Assessing financial viability and construction challenges (project finance and project management)– Setting up legislation & regulation frameworks necessary to authorise, own, build and operate such
interconnections– Envisaging market rules and business models for the most efficient exploitation of the interconnections
61
Recommendations for further analysis and studies
� Which interconnection should start the process?‒ While detecting the main trends, these preliminary results should pave the way
for further analysis, for consolidating the assumptions and for identifying the most promising steps of a global network.
� Trade-off between alternative solutions (storage, de mand-response, price elasticity,…) and transmission ‒ the present study focuses mostly on the trade-off between transmission and
generation.
ConclusionGérald Sanchis
Global Electricity Network - Feasibility Study
CIGRE Paris Session 2018 – 28 August 2018
63
�Global Electricity Interconnection is an ambitious concept.�WG C1.35 is finalising the first known quantitative feasibility
study for the concept of a global electricity network. It has provided a possible geographical and technical configuration and preconditions for its feasibility considering technology and economical aspects.
� Future work and possible follow-up.
Conclusion
Copyright © 2018
This tutorial has been prepared based upon the work of CIGRE and its Working Groups. If it is used in total or in part, proper reference and credit should be given to CIGRE.
Disclaimer notice
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