http://dx.doi.org/10.1016/j.eneco.2011.07.030
Abstract:In
this paper, we analyze how the development of the carbon capture and
storage (CCS) technology used in coal-fired power plants affects its
market diffusion. Specifically, we (1) show the significant variance in
expectations about the economics of commercial-grade CCS hard coal power
plants observed in the literature; (2) analyze the impact of CCS
economics on electricity generation costs; and (3) investigate the
expected deployment of CCS in the European power sector, depending on
the variance of two main factors, efficiency and investment cost, using
the bottom-up electricity sector model HECTOR. Simulation results show
that investment costs strongly influence the market deployment of
coal-fired CCS power plants, leading to a share of 16% in European
generation capacity by 2025 with the lowest observed investment costs of
1400 €/kW, but only 2% with the highest of 3000 €/kW. A variation of
conversion efficiency between 37% and 44%, the minimum and maximum
observed values, only leads to a 13–15% share variation of CCS-equipped
power plants. These findings are robust for the Base Case with a CO2 price of 43 €/t and also for sensitivities with 30 and 20 €/t CO2, but with a lower effect, as the overall share of CCS is significantly reduced at these prices.
Highlights
►
Model-based study of prospects of CCS for coal power plants in 19
European countries.
► Investment cost strongly affect deployment, while efficiency only has a modest impact.
► Lowest (highest) investment cost observed lead to total CCS share of 16% (2%) by 2025.
► Highest (lowest) conversion efficiency observed results in CCS share of 15% (13%).
► Findings are robust for various CO2 price and fuel price developments.
► Investment cost strongly affect deployment, while efficiency only has a modest impact.
► Lowest (highest) investment cost observed lead to total CCS share of 16% (2%) by 2025.
► Highest (lowest) conversion efficiency observed results in CCS share of 15% (13%).
► Findings are robust for various CO2 price and fuel price developments.
by Richard Lohwasser and Reinhard Madlener both of the Institute for Future Energy Consumer Needs and Behavior (FCN), School
of Business and Economics/E.ON Energy Research Center, RWTH Aachen
University, Mathieustrasse 6, 52074 Aachen, Germany; Tel.: + 49 89 5594 3190; fax: + 49 89 5594 3191.
Volume 34, Issue 3; May, 2012; Pages 850–863
Keywords: Electricity market;Simulation model; CCS; Power generation; Technology adoption
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