The economics of the combined cycle gas turbine - an experience curve analysis

By Ulrika Claeson Colpier, D. Cornland. 2002

171 citations recorded by the source corpus.

Subfields: Finance, Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/df8d72bf458e6f1cec363eecb6b69f0c67c3adf1

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Citations in the corpus

A review of learning rates for electricity supply technologies (2015, background): “Colpier and Cornland (2002) also report learning rates based on electricity production cost ($/kWh) rather than capital costs.”
Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies (2007, background): “, [15–17]) relates the cost of the technology to the cumulative capacity installed.”
Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007, background): “Moreover, estimated learning rates can vary depending on the time period for which they are mea - sured (Claeson Colpier and Cornland, 2002).”
Modeling long-term dynamics of electricity markets (2006, background): “Accordingly, most of the recent literature agrees that investment costs will remain in the current levels (measured in constant dollars) and no further reductions will take place in the future, see Colpier and Cornland (2002), Farmer (1999, 1997) and Hoster(1999).”
A review of uncertainties in technology experience curves (2012, background): “One recent study, however, reported an experience curve progress ratio above 100% for natural gas combined cycle (NGCC) systems for the period 1981–1991 (Claeson Colpier and Cornland, 2002).”
Wind power learning rates: A conceptual review and meta-analysis☆ (2012, background): “Coe and Helpman (1995) suggest that in order to measure the presence of R&D spillovers one can construct a foreign R&D based knowledge stock.”
Solar energy: Markets, economics and policies (2012, unknown): “[39] Colpier U C, Cornland D.”
Techno-economic analysis of natural gas combined cycles with post-combustion CO2 absorption, including a detailed evaluation of the development potential (2007, methodology): “We calculated the corresponding costs using a learning rate of 10% (Colpier and Cornland, 2002).”
The experience curve theory and its application in the field of electricity generation technologies – A literature review (2018, background): “The two literature sources listed here use the terms “capital costs” [46] or “investment prices” [108].”
Learning curves for environmental technology and their importance for climate policy analysis (2004, result): “The learning rates of 11% and 12% for FGD and SCR systems, respectively, are similar not only to each other, but also to the average learning rates found in other studies for a wide range of market-based technologies, including a broad array of energy technologies [11,15–17].”