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| 1 |
ID:
097249
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2010.
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| Summary/Abstract |
At present carbon capture and storage (CCS) is very expensive and its performance is highly uncertain at the scale of commercial power plants. Such challenges to deployment, though, are not new to students of technological change. Several successful technologies, including energy technologies, have faced similar challenges as CCS faces now. To draw lessons for the CCS industry from the history of other energy technologies that, as with CCS today, were risky and expensive early in their commercial development, we have analyzed the development of the US nuclear-power industry, the US SO2-scrubber industry, and the global liquefied natural gas (LNG) industry. Through analyzing the development of the analogous industries we arrive at three principal observations. First, government played a decisive role in the development of all of these analogous technologies. Second, diffusion of these technologies beyond the early demonstration and niche projects hinged on the credibility of incentives for industry to invest in commercial-scale projects. Third, the conventional wisdom that experience with technologies inevitably reduces costs does not necessarily hold. Risky and capital-intensive technologies may be particularly vulnerable to diffusion without accompanying reductions in cost.
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| 2 |
ID:
094403
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2010.
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| Summary/Abstract |
This paper analyzes the potential contribution of carbon capture and storage (CCS) technologies to greenhouse gas emissions reductions in the U.S. electricity sector. Focusing on capture systems for coal-fired power plants until 2030, a sensitivity analysis of key CCS parameters is performed to gain insight into the role that CCS can play in future mitigation scenarios and to explore implications of large-scale CCS deployment. By integrating important parameters for CCS technologies into a carbon-abatement model similar to the EPRI Prism analysis (EPRI, 2007 ), this study concludes that the start time and rate of technology diffusion are important in determining emissions reductions and fuel consumption for CCS technologies. Comparisons with legislative emissions targets illustrate that CCS alone is very unlikely to meet reduction targets for the electric-power sector, even under aggressive deployment scenarios. A portfolio of supply and demand-side strategies is needed to reach emissions objectives, especially in the near term. Furthermore, model results show that the breakdown of capture technologies does not have a significant influence on potential emissions reductions. However, the level of CCS retrofits at existing plants and the eligibility of CCS for new subcritical plants have large effects on the extent of greenhouse gas emissions reductions.
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| 3 |
ID:
128362
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2014.
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| Summary/Abstract |
Solar Community Organizations (SCOs) are formal or informal organizations and citizen groups that help to reduce the barriers to the adoption of residential solar photovoltaic (PV) by (1) providing access to credible and transparent information about the localized benefits of residential PV and (2) actively campaigning to encourage adoption within their operational boundaries. We study the peer effect, or social interaction, process catalyzed by SCOs to understand the impact of these organizations on the residential PV market. Using a standardized search methodology across spatial scales (state; city; neighborhoods), we identify and characterize the operations of 228 SCOs formed in the U.S. between 1970 and 2012. We also present case studies of four successful SCOs and find that a common thread of why these SCOs are successful involves effectively leveraging trusted community networks combined with putting together a complete information and financial-tools package for use by interested communities. Finally, our findings suggest that empirical studies that attempt statistical identification and estimation of peer effects should pay close attention to the role of SCOs, as the social interactions engendered by SCOs may be correlated both with the level of social learning and the socio-demographic characteristics of the communities of interest.
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