Economic potential for an extension of pump storages in norway
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Economic Potential for an Extension of Pump Storages in Norway. IAEE 2011, Stockholm. Tobias Frohmajer Stephan Spiecker Prof. Dr. Christoph Weber. Agenda. Introduction Presentation of the models applied Scenario description Results Conclusions. Agenda. Introduction

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Economic potential for an extension of pump storages in norway

Economic Potential for an Extension of Pump Storages in Norway

IAEE 2011, Stockholm

Tobias Frohmajer

Stephan Spiecker

Prof. Dr. Christoph Weber


Agenda
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions


Agenda1
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions


Introduction
Introduction Norway

  • Rising shares of volatile electricity production from RES in Europe

  • In the upcoming future, especially the potentials of off-shore-wind power in the north and baltic sea are scheduled to be developed

  • In order to guarantee serving of the load also in times of lower RES-production, flexible production has to be provided to the grid

    • Flexibility from flexible power plants (e.g. Natural Gas but also Hydro storages)

    • Flexibility due to extension of transmission capacities

    • Flexibility from electricity storages (e.g. Pump storages)

  • Linking the offshore-production with a north-sea grid to the storage potentials in Norway seem to be of great advantage


Agenda2
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions


Agenda3
Agenda Norway

  • Introduction

  • Presentation of the models applied

    • Overview

    • E2M2s

    • JMM

  • Scenario description

  • Results

  • Conclusions


Interaction of the models
Interaction Norwayofthemodels

European Electricity Market Model

E2M2s

Input – database

Productioncapacities, seasonalusageofhydrostorages; Type days: Electricityprices, electricityproductionandelectricityexchangebetween countries

Output – database

Joint Market Model JMM

Hourlyelectricityprices, electricityproductionandelectricityexchangebetween countries


Basic considerations of the models i
Basic Norwayconsiderationsofthemodels (I)

  • Models of European countries

  • Including electricity and district heating markets

  • Variable degree of detail:

    • whole of Europe or

    • European regions or/and

    • several regions within one country

  • Possible stochastic modeling of wind, solar and water fluctuations

    • increasing share of solar and wind power production in European System

    • fluctuating production induces additional load flows

    • changes in hydrological conditions have also to be foreseen


Basic considerations of the models ii
Basic Norwayconsiderationsofthemodels (II)

  • Minimization of system costs

    • corresponds to market outcomes in workable competition

  • Cost components taken into account

    • fuel cost for electiricity production and for start – ups

    • CO2 – costs for electiricity production and for start – ups

    • other variable cost (e.g. Operation and maintanence)

  • Further restrictions:

    • Electricity production from additional RES capacities (wind and solar)

    • Dispatch of the existing hydro capacities

    • Grid bottlenecks

    • ...


E2m2s methodology
E2M2s – NorwayMethodology

  • Long term – investment model

  • Modelling several years

  • Representation of each year in typical days and typical hours

  • Stochastic optimization using recombining trees


E2m2s results
E2M2s – NorwayResults

  • Optimal dispatch of production technologies

  • Optimal investment in power plant capacities

  • Optimal exchange of electricity

  • Fundamental prices of electricity production

     shadow prices of the demand restriction

  • CO2-prices

     shadow prices of the emission bound

  • Total system costs


Jmm methodology
JMM – methodology Norway

  • Developed within the EU project WILMAR

  • Applied in the EU-projects EWIS and SUPWIND

  • Dynamic Stochastic Linear programming approach

  • Possible to use mixed integer programming approach

  • Hourly Optimization of 2 markets:

    • day- ahead (unit dispatch up to 36 hours)

    • Intraday (redispatching the day-ahead results if new information available)

  • Recombining wait and see decision structure

  • Very detailed representation of technical restrictions (e.g. ramp rates; CHP units etc.)

  • NTC, PTDF and DCLF depiction of the grid is possible


Agenda4
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions


Basic considerations
Basic considerations Norway

  • Time horizon: 2030

  • Considered overall developments: „Environmental friendly“

    • High Prices for fossil Fuels

    • High CO2-prices

    • Excessive built-up of RES – capacities

    • Low development of electricity demand

    • Successful launch of „Desertec“ supplying annually 180 TWh

  • Geographic scope: Europe

    • incl. Norway, Switzerland and 3 offshore-nodes

    • excluding south-eastern Europe

    • Representation of Germany in 7 regions


Geographical scope
Geographical NorwayScope


Geographical scope1
Geographical NorwayScope

50HzA

TPA

TPB

50HzB

AMPA

EnBWA

TPC


Considered scenarios
Considered Norwayscenarios

  • Scenario 1:

    • Moderate extension of the north sea grid

    • Only 2 offshore nodes

    • Less installed wind capacities connected to these nodes

    • More offshore-wind capacities connected bidirectional to the countries

    • No extension of pumping capacities in Norway

  • Scenario 2a:

    • Extensive grid extension

    • 3 offshore nodes

    • More offshore-wind capacities connected to the offshore-nodes

    • Less installed wind capacities connected bidirectional to the countries

    • No extension of pumping capacities in Norway


Considered scenarios1
Considered Norwayscenarios

  • Scenario 2b:

    • Higher grid extension

    • 3 offshore nodes

    • More offshore-wind capacities connected to the offshore-nodes

    • Less installed wind capacities connected bidirectional to the countries

    • Installation of pump capacities in norwegian hydro reservoirs (9100MW)

  • Scenario 2c:

    • Higher grid extension

    • 3 offshore nodes

    • More offshore-wind capacities connected to the offshore-nodes

    • Less installed wind capacities connected bidirectional to the countries

    • Installation of pump storages in Norway (9100MW)


Agenda5
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions



Comparison of base prices
Comparison of base prices Norway

  • Scen 1 vs Scen 2a-c:

    • The price levels are levelising due to the higher transmission capacities

    • The average base price level in countries linking to NO and SE decrease while the prices in NO and SE itselve do rise

  • Scen 2a vs 2b vs 2c:

    • Only marginal differences between the scenarios indicate marginal effects


Comparison of standard deviations of base prices
Comparison Norwayofstandarddeviationsofbaseprices


Comparison of standard deviations of base prices1
Comparison of standard deviations of base prices Norway

  • Similar picture to the previously show base prices

  • Scen 1 vs Scen 2a-c:

    • Due to the grid extension, the standard deviation of the base prices is decreasing or stabalized on a low level

  • Scen 2a vs 2b vs 2c:

    • Only marginal differences


Electricity productions by fuel and region
Electricity Norwayproductionsbyfuelandregion


Electricity productions by fuel and region1
Electricity Norwayproductionsbyfuelandregion

  • While the base scenarios area equal, there are only marginal differences beween the scenarios

  • The pumps in scenario 2b are not used – in each hour, when the price difference between day and night would be high enought that the pumping would be economic, the turbines are already producing with their full capacity and restrict the production

  • In scenario 2c, the pumped-hydro storage produces 1.8 TWh per year within 578 hours

  • In comparison to the total annual production of NO of 157TWh, this is only a percentage of 1.1%  only of marginal influence


Electricity exchanges between countries scenario 1
Electricity Norwayexchangesbetween countries – scenario 1


Electricity exchanges between countries scenario 2a
Electricity Norwayexchangesbetween countries – scenario 2a


Electricity exchanges between countries scenario 2c
Electricity Norwayexchangesbetween countries – scenario 2c


Agenda6
Agenda Norway

  • Introduction

  • Presentation of the models applied

  • Scenario description

  • Results

  • Conclusions


Conclusions
Conclusions Norway

  • An extension of the north sea grid seams to have greater impact than the additional installation of pumping capacities or pumped hydro storages

  • The existing hydro storages are already very flexible – a shifting of the production to hours of high prices is already possible and by the extension of the grid even more applicable

  • An extension of the capacities (pumping as well as production) is useful and dispatched within expected values


Thank Norwayyouforyourattention! Anyquestionsorremarks?Contact:Tobias Frohmajer (researchassistantandPh. D. student)University of Duisburg-EssenChairfor Management SciencesandEnergy EconomicsUniversitätsstr. 1245117 Essen, Germanytobias.frohmajer@uni-due.de


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