posted on 2007-01-01, 00:00authored bySonia Yeh, Edward RubinEdward Rubin, David A. Hounshell, Margaret R. Taylor
The phenomenon of technological learning has been observed across a wide spectrum of energy
and environmental technologies. Quantitative modeling of experience curves has become an
increasingly common method of representing endogenous technical change in long-term
integrated assessment models used for energy and environmental policy analysis. However,
many issues remain to be addressed in the use of experience curves to quantify long-term cost
trends of energy technologies. This paper highlights and critically reviews some of the major
sources of uncertainty and their implications to model outcomes. It draws on recent empirical
literature, as well as on new data characterizing historical cost trends in the early deployment of
three environmental technologies especially relevant to energy systems. Our findings indicate the
need for a more thorough and systematic examination of the uncertainty of experience curve
formulations on the outcomes of energy and environmental policy analyses that extend over
many decades.