Summary: "Models are fundamental for estimating the possible costs and effectiveness of different policies for reducing greenhouse gas (GHG) emissions. There is a wide array of models to perform such analysis, differing in the level of technological detail, treatment of technological progress, spatial and sector details, and representation of the interaction of the energy sector to the overall economy and environment. These differences impact model results, including cost estimates. More fundamentally, these models differ as to how they represent fundamental processes that have a large impact on policy analysis--such as how different models represent technological learning and cost reductions that come through increasing production volumes, or how different models represent baseline conditions. Reliable estimates of the costs and potential impacts on the United States economy of various emissions reduction and other mitigation strategies are critical to the development of the federal climate change research and development portfolio. At the request of the U.S. Department of Energy (DOE), the National Academies organized a workshop, summarized in this volume, to consider some of these types of modeling issues."--Publisher's description.Content Notes:
Introduction -- Uses and abuses of marginal abatement supply curves -- Uses and abuses of learning, experience, and knowledge curves -- Offsets: what's assumed, what is known/not known, and what difference they make -- Story lines, scenarios, and the limits of long-term socio-techno-economic forecasting -- Reflections on the workshop.Notes:
Includes bibliographical references.
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