Internalisation of external cost in the power generation sector: Analysis with Global Multi-regional MARKAL model |
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Authors: | Peter Rafaj Socrates Kypreos |
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Affiliation: | Energy Economics Modelling Group, General Energy Department, Paul Scherrer Institute, CH-5232. Villigen-PSI, Switzerland |
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Abstract: | The Global MARKAL-Model (GMM), a multi-regional “bottom-up” partial equilibrium model of the global energy system with endogenous technological learning, is used to address impacts of internalisation of external costs from power production. This modelling approach imposes additional charges on electricity generation, which reflect the costs of environmental and health damages from local pollutants (SO2, NOx) and climate change, wastes, occupational health, risk of accidents, noise and other burdens. Technologies allowing abatement of pollutants emitted from power plants are rapidly introduced into the energy system, for example, desulphurisation, NOx removal, and CO2 scrubbers. The modelling results indicate substantial changes in the electricity production system in favour of natural gas combined cycle, nuclear power and renewables induced by internalisation of external costs and also efficiency loss due to the use of scrubbers. Structural changes and fuel switching in the electricity sector result in significant reduction of emissions of both local pollution and CO2 over the modelled time period. Strong decarbonisation impact of internalising local externalities suggests that ancillary benefits can be expected from policies directly addressing other issues then CO2 mitigation. Finally, the detailed analysis of the total generation cost of different technologies points out that inclusion of external cost in the price of electricity increases competitiveness of non-fossil generation sources and fossil power plants with emission control. |
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Keywords: | ¢ , cent (10&minus 2$) ASIA, developing Asian countries: Centrally Planned Asia, India, South East Asia, Pacific Asia C, carbon CHP, combined heat and power (cogeneration) CI, carbon intensity (tonne CO2/GJ) CNG, compressed natural gas CO2, carbon dioxide DeNOx, nitrogen oxides abatement, denitrification DeSOx, sulphur oxides abatement, desulphurisation EC, european Commission ED, elastic demands EEFSU, eastern Europe and Former Soviet Union ETL, endogenous technological learning ExternE, externalities of energy FC, fuel cell FGD, flue gas desulphurisation GDP, gross domestic product (T$/yr) GFC, gas fuel cell (based on natural gas) GHG, greenhouse gas GMM, global multi-regional Markal model GtC, giga tonnes carbon (109 ton) H2FC, hydrogen fuel cell IGCC, integrated coal gasification combined cycle IPCC, intergovernmental panel on climate change LAFM, latin America, Africa, and Middle East region LBD, learning-by-doing LWR, light water reactor MARKAL, market allocation model mill, mills (10&minus 3$) Mt, mega ton (106 ton) NAME, North American region NCCR, The National Centre of Competence in Research NGCC, natural gas combined cycle NNU, New (design of) nuclear power plant NOx, nitrogen oxides O& M Cost, operation and maintenance cost OECD, organization for Economic Cooperation and Development OOECD, other OECD region: Western Europe, Japan, Australia, and New Zealand PFBC, pressurised fluidised bed combustion ppmv, parts per million by volume pr, progress Ratio PSI, Paul Scherrer Institut RD& D, Research, development and demonstration RES, reference energy system SO2, sulphur dioxide SPV, solar photovoltaic system SRES, special report on emission scenarios T& D, transport and distribution WTP, willingness to pay η, conversion efficiency |
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