Modeling Trends of the European Electricity Sector with a Focus … · 2021. 1. 18. · - 0 -...
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- 0 - February.2016
Modeling Trends of the European Electricity Sector
with a Focus on Nuclear Phase-outs in the UK and France
Berlin Conference on Energy and Electricity Econonomics; Berlin, 12. October 2016
Pao-Yu Oei, Clemens Gerbaulet, Christian von Hirschhausen, Mario Kendziorski, Casimir Lorenz Technische Universität Berlin, Workgroup for Infrastructure Policy (WIP)
Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Energy, Transport and Environment (EVU)
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- 1 - February.2016
Model application: Dynelmod
Scope: Europe Objective: System Cost minimization • Capacity Cost and Generation Cost • Investment cost
• Generation Capacities • Grid Expansion
Investments: five-year steps (2015), 2020, 2025,
2030, 2035, 2040, 2045, 2050, plant dispatch: hourly resolution over set of ~350 hours
Boundary condition examples • Country-sharp power plant portfolio development
(decommissioning of existing plants) • Electricity demand development per Country • CO2-Budget over time • Market coupling: NTC or Flow-Based
Source: Gerbaulet and Lorenz (2016)
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Water Biomass Hard coal
Wind Lignite Diesel
Fuel Oil Gas
Nuclear Furnace gas Oil shale
Synthetic gas
Power Plants and Networks in Europe
Source: Schneider, Kuhs (2013)
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Structural Changes in the Future, decommissioning of nuclear power plants in Europe
Source: Schneider, Kuhs (2013)
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Implemented CO2 emission constraint for Europe aiming at a decarbonization of the electricity sector until 2050
Source: Energy Roadmap 2050; Impact Assesment SEC (2011) 1565; page 70 ; Scenario: "Diversified supply scenario"; column Power generation/District heating for EU27 countries
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The European Commission reduced their nuclear projection but still includes new constructions, esp. in France and UK
12 27 41 21 7 8 1 23 43 14 5 5 0
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EC Reference Scenario 2013 EC Reference Scenario 2016Source: EC (2013, 2016).
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„Transition Enérgétique“ à la francaise
Electricity Sector Other sectors
Nuclear Renewable energies Demand on
fossil fuels
Greenhouse gas
emissions
Final energy
consumption (share of gross electricity consumption)
50% 40% -30% -40% -75% -50%
2025
2030
2030 2030 2050 2050
(base 2012) (base 1990) (base 2012)
The share of nuclear energy accounted for 76% in 2015 France. The Transition Enérgétique lays-out a pathway for the next decade but many things remain uncertain afterwards.
The following slides examine a “sobriety” scenario developed by Criqui, et al. (2015) assuming a path for 2050 with
- 0% share of nuclear, - >80% renewables, - -50% energy consumption
Source: “Loi sur la transition énérgétique” (2015)
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Results of the sobriety scenario for France until 2050 – France remains an electricity exporter despite the nuclear phase-out
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TWh
trade
Wind
Sun
Biomass
Hydro
Fossil
Nuclear
Soruce: Own modeling based on Criqui, et al. (2015).
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Expected closure of existing nuclear power plants and investments in newbuilds envisaged by the UK energy strategy
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existing Capacity planned Capacity
Source: National Audit Office (2016), PRIS Database, own assumptions.
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Two possible scenarios for a nuclear phase-out in the UK – sector-coupling might lead to increasing import needs in 2050
Scenario “D-EXP” (decarbonize and expand) depicts an intensive sector coupling and the usage of gas in combination with carbon capture, transport, and sequestration (CCTS).
Scenario “M-VEC” (multivector transition) is less reliant on electrification, and foresees a growth of electricity consumption only between 2040 and 2050 and a more limited availability of CCTS.
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D-EXP M-VEC
TWh
Nuclear Coal Gas Gas (CCTS) Hydro
Biomass Solar Wind Trade other
Soruce: Own modeling based on Pye, et al. (2015).
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Conclusion: Decarbonization of the European electricity sector is compatible with a reduction of nuclear capacities
A reduction of nuclear capacities leads to • increased investment in gas, renewables, and storage; • reduced electricity generation by coal to be in line with the European CO2 target; • Shifts in electricity trades between neighbouring countries depending on national strategies.
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other
Wind
Sun
Biomass
Hydro
Gas CCS
Gas
Coal
Lignite
Nuclear
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Modeling Trends of the European Electricity Sector
with a Focus on Nuclear Phase-outs in the UK and France
Berlin Conference on Energy and Electricity Econonomics; Berlin, 12. October 2016
Pao-Yu Oei, Clemens Gerbaulet, Christian von Hirschhausen, Mario Kendziorski, Casimir Lorenz Technische Universität Berlin, Workgroup for Infrastructure Policy (WIP)
Deutsches Institut für Wirtschaftsforschung (DIW Berlin), Energy, Transport and Environment (EVU)
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- 12 - February.2016
Model application: Dynelmod
Investments • Conventional power plants • Renewables (PV, Wind Onshore/Offshore, CSP) • Storage (several storage options; e.g. Battery
storage options, pumped hydro storage) • Grid expansion (increase of NTCs)
Other Data • Hourly RES feed-in and load for 2012 based on
ENTSO-E and ECWMF weather data • Increase in full-load hours of renewables over time • Cost data mainly based on Schröder et al. (2013)
− Investment, Fix, and variable capacity cost
Calculation over a set of hours • Variation of time-of day • Variation of season • Scaling for feed-in and demand time series
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Flow-based market coupling– Aggregation to a zonal PTDF
The flow based cross border interaction characteristics are derived from the actual underlying grid structure
Aggregation line sharp data to a country sharp PTDF
PTDF Calculation from the actual AC grid
𝑃𝑃𝑃𝐹𝑙,𝑛𝑛 = �𝐻𝑙,𝑛 ∗ 𝐵𝑛,𝑛𝑛−1 𝑛
Load on line using PTDF
𝑃𝑙 = �𝑃𝑃𝑃𝐹𝑙,𝑛 ∗ 𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛
Aggregation to a zonal PTDF with maximum transfer capacities
𝑃𝑐𝑐,𝑐𝑐𝑐 = �𝑃𝑃𝑃𝐹𝑐𝑐,𝑐𝑐𝑐,𝑐𝑐𝑐𝑐𝑧𝑐𝑛𝑧𝑙 ∗ 𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐
𝑃𝑐𝑐,𝑐𝑐𝑐𝑚𝑧𝑚 = min𝑖𝑐𝑃𝑖𝑐𝑚𝑧𝑚
𝑃𝑃𝑃𝐹𝑖𝑐,𝑐𝑐 − 𝑃𝑃𝑃𝐹𝑖𝑐,𝑐𝑐𝑐
Node-sharp representation of the European high voltage grid Blue: HVDC, red: 380 kV, yellow: 300 kV, green: 220 kV
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Research on nuclear at DIW Berlin and TU Berlin
DIW Berlin Wochenbericht: • 13-2014: Atomkraft: Auslaufmodell mit
ungelöster Endlagerfrage • 22-2015: Stromversorgung bleibt sicher –
Große Herausforderungen und hohe Kosten bei Rückbau und Endlagerung
• 45-2015: Rückbau und Entsorgung in der deutschen Atomwirtschaft: öffentlich-rechtlicher Atomfonds erforderlich
• 45-2015: Europäische Klimaschutzziele sind auch ohne Atomkraft erreichbar
DIW Berlin Data Documentation 2015: Stand und Perspektiven des Rückbaus von Kernkraftwerken in Deutschland ("Rückbau-Monitoring 2015")
DIW Berlin Round-up: Uranium Power and the Uranium Market are Reserve and Ressource Sufficient (forthcoming)
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France in focus
Technical lifetime of nuclear power plants is 45-50 years in Base scenario.
Early exit scenario: Plants decommissioned in 2030 are phased-out already in 2025 (>42 years).
Shutdown before 2020
Shutdown before 2025
Shutdown before 2030
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Base No new Nuclear EarlyExit
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Assumptions for nuclear decommission in France
Last active model year
Plant Capacity (MW) Start Base No new nuclear
France Early Exit
Fessenheim 1 880 1977 2015 2015 2015 Fessenheim 2 880 1978 2015 2015 2015 Bugey 2 910 1979 2015 2015 2015 Bugey 3 910 1979 2020 2020 2020 Bugey 4 880 1979 2020 2020 2020 Bugey 5 880 1980 2020 2020 2020 Dampierre 1 890 1980 2020 2020 2020 Gravelines B-1 910 1980 2020 2020 2020 Gravelines B-2 910 1980 2020 2020 2020 Tricastin 1 915 1980 2020 2020 2020 Tricastin 2 915 1980 2020 2020 2020 Blayais 1 910 1981 2025 2025 2020 Dampierre 2 890 1981 2025 2020 Dampierre 3 890 1981 2025 2020 Dampierre 4 890 1981 2025 2020 Gravelines B-3 910 1981 2025 2020 Gravelines B-4 910 1981 2025 2020 Tricastin 3 915 1981 2025 2020 Tricastin 4 915 1981 2025 2020 Blayais 2 910 1983 2025 2020 Blayais 3 910 1983 2025 2020 Blayais 4 910 1983 2025 2020 St. Lauent B-1 915 1983 2030 2020 St. Lauent B-2 915 1983 2030 2020 Chinon B-1 905 1984 2030 2030 Chinon B-2 905 1984 2030 2030 Cruas Meysse 1 915 1984 2030 2030 Cruas Meysse 3 915 1984 2030 2030 Cruas Meysse 2 915 1985 2030 2030 Cruas Meysse 4 915 1985 2030 2030
Last active model year
Plant Capacity (MW) Start Base No new nuclear
France Early Exit
Gravelines C-5 910 1985 2030 2030 Gravelines C-6 910 1985 2030 2030 Paluel 1 1,330 1985 2030 2030 Paluel 2 1,330 1985 2030 2030 Flamanville 1 1,330 1986 2030 2030 Paluel 3 1,330 1986 2030 2030 Paluel 4 1,330 1986 2030 2030 St. Alban 1 1,335 1986 2030 2030 Cattenom 1 1,300 1987 2030 2030 Chinon B-3 905 1987 2030 2030 Flamanville 2 1,330 1987 2030 2030 St. Alban 2 1,335 1987 2030 2030 Belleville 1 1,310 1988 2035 2035 Cattenom 2 1,300 1988 2035 2035 Chinon B-4 905 1988 2035 2035 Nogent 1 1,310 1988 2035 2035 Belleville 2 1,310 1989 2035 2035 Nogent 2 1,310 1989 2035 2035 Penly 1 1,330 1990 2035 2035 Cattenom 3 1,300 1991 2035 2035 Golfech 1 1,310 1991 2035 2035 Cattenom 4 1,300 1992 2035 2035 Penly 2 1,330 1992 2040 2040 Golfech 2 1,310 1994 2040 2040 Chooz B-1 1,500 1996 2045 2045 Chooz B-2 1,500 1999 2045 2045 Civaux 1 1,495 1999 2045 2045 Civaux 2 1,495 2000 2045 2045
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Nuclear development assumptions for Europe
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Base No new nuclear France early exit
Slide Number 1Model application: DynelmodPower Plants and Networks in EuropeStructural Changes in the Future, decommissioning of nuclear power plants in EuropeImplemented CO2 emission constraint for Europe aiming at a decarbonization of the electricity sector until 2050The European Commission reduced their nuclear projection but still includes new constructions, esp. in France and UK„Transition Enérgétique“ à la francaiseResults of the sobriety scenario for France until 2050 – France remains an electricity exporter despite the nuclear phase-out Expected closure of existing nuclear power plants and investments in newbuilds envisaged by the UK energy strategyTwo possible scenarios for a nuclear phase-out in the UK – �sector-coupling might lead to increasing import needs in 2050Conclusion: Decarbonization of the European electricity sector is compatible with a reduction of nuclear capacitiesSlide Number 12Model application: DynelmodFlow-based market coupling– Aggregation to a zonal PTDF Research on nuclear at DIW Berlin and TU BerlinFrance in focusAssumptions for nuclear decommission in FranceNuclear development assumptions for Europe