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Perspectives of clean coal technologies in Poland. Wojciech Suwala AGH-University of Science and Technology Faculty of Fuels and Energy. Presentation plan. Basic facts on Polish energy system Model of power generation Power generation technologies 2002-2020
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Perspectives of clean coal technologies in Poland Wojciech Suwala AGH-University of Science and Technology Faculty of Fuels and Energy
Presentation plan • Basic facts on Polish energy system • Model of power generation • Power generation technologies 2002-2020 • Decomposition of CO2 emissions reduction • Conclusions
Basic facts on Polish energy system • 70% of TPES from coal • 94% of electricity and heat generated form hard coal and lignite
Basic facts on Polish energy system- challenges • LCP directive - derogations • EU accession treaty – country limits • ETS • 280 Mt CO2 required • 208 Mt CO2 assigned • Renewables obligation
Model of power generation - 1 • Bottom-up model • Emissions constraints (SO2, NOx, PM) • Carbon tax to mitigate CO2 emissions • 100 coal grades • Variable demands
Model of power generation -2 • Partial equilibrium • Objective function: consumers + producers surplus MAX • Time horizon: 2002-2020 • Linear programming GAMS/CPLEX
Model of power generationscenarios 1 SO2, NOx, PM emissions reduction as in EU Accession Treaty for the whole country (bubble)
Model of power generationscenarios 2 Renewables obligation: 9% of electricity production from 2010 CO2 - carbon tax: 0 - 30 €/t
Technologies in 2020, carbon tax 25 €/t CO2 Existing hard coal CHP public plants - life extension 47%
Technologies in 2020, carbon tax 25 €/t CO2 New nuclear 15%
Technologies in 2020, carbon tax 25 €/t CO2 9% 3% 8% 3% 3% 7% 5%
Z=X1*X2 Δ Z(X1)= ΔX1*X20+1/2* ΔX1* ΔX2 Δ Z(X2)= ΔX2*X10+1/2* ΔX1* ΔX2 Decomposition principleShapley/Sun method X1 ΔX1 X10 ΔX2 X2 X20
Decomposition identity • process factor – related to: • physical / chemical properties of the technologies • fuel quality adjustment
Decomposition identity fuel factor – related to emissions properties of fuels used
Decomposition identity efficiency factor – related to amount of primary energy used to satisfy demand
Decomposition identity demand factor
Emissions decomposition effect = Δ factor
CO2 emissions reduction – effects contributioncarbon tax 10 €/t CO2
CO2 emissions reduction – effects contribution carbon tax 25 €/t CO2
CO2 emissions reduction – effects contribution carbon tax 30 €/t CO2
Conclusions 1/2 • Coal technologies should have still a large share in energy supply for Poland • Traditional coal technologies need to be replaced by clean coal technologies • Increase of demand could be balanced by renewable and nuclear energy
Conclusions 2/2 • Major factors which in longer term contribute to CO2 emissions reduction are fuels switch and efficiency increase, the latter enhances the role of clean coal technologies • Demand decreases contribute to emissions reduction basically in short term
Reversed demand curve P PR – Reference price equal for all years QR – Reference demand - forecasts PR QR Q