Carbon capture by fossil fuel power plants : an economic analysis


Reichelstein, Stefan ; İşlegen, Özge



URL: https://www.gsb.stanford.edu/faculty-research/work...
Dokumenttyp: Arbeitspapier
Erscheinungsjahr: 2009
Titel einer Zeitschrift oder einer Reihe: Working Papers
Band/Volume: 2033
Ort der Veröffentlichung: Stanford, CA
Verlag: Stanford Graduate School of Business
ISSN: 1869-0483 , 1869-0491
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > Stiftungsprofessur für ABWL (Reichelstein 2018-)
Fachgebiet: 330 Wirtschaft
Abstract: For fossil fuel power plants to be built in the future, carbon capture and storage (CCS) technologies offer the potential for significant reductions in CO2 emissions. We examine the break-even value for CCS adoptions, that is, the critical value in the charge for CO2 emissions that would justify investment in CCS capabilities. Our analysis takes explicitly into account that the supply of electricity at the wholesale level (generation) is organized competitively in some U.S. jurisdictions, while in others a regulated utility provides integrated generation and distribution services. For either market structure, we find that emissions charges in the range of $25-$30 per tonne of CO2 would be the break-even value for adopting CCS capabilities at new coal-fired power plants. The corresponding break-even values for natural gas plants are substantially higher, near $60 per tonne. Our break-even estimates serve as a basis for projecting the change in electricity prices once carbon emissions become costly. CCS capabilities effectively put an upper bound on the rise in electricity prices. We estimate this bound to be near 30% at the retail level for both coal and natural gas plants. In contrast to the competitive power supply scenario, however, these price increases materialize only gradually for a regulated utility. The delay in price adjustments reflects that for regulated firms the basis for setting product prices is historical cost, rather than current cost.




Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.




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