It should address the shortcomings of previous crisis communication efforts and adapt to the demands of frontier AI.
Lucy Luo
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A national renewable electricity standard offers many advantages over the current patchwork system of state standards, including the creation of a market for renewable energy credits which would reduce the overall cost of compliance.
A national renewable electricity standard (RES) offers many advantages over the current patchwork system of state standards—a system that leads to unique regulatory requirements in each state. The advantages of a national standard stem primarily from the creation of a large, standardized market for renewable energy credits (RECs), which reduces complexity and allows the market to operate more efficiently, thereby reducing the overall cost of compliance.
Creating a national RES also presents many challenges, however, given the prevalence of state programs. To operate successfully, a national RES must be carefully designed and include five key components:
To address these issues and create a successful national standard, policy makers should pass legislation quickly. The proposed federal RES introduced by Senators Bingaman and Brownback in September 2010 addresses some of these issues adeptly, but falls short on others. Although passage this year appears increasingly unlikely, the bill represents the best example of bipartisan legislation thus far, and is likely to serve as the starting point for legislation next year. Comparing Bingaman-Brownback to the ideal features of RES legislation therefore provides a useful starting point for understanding how these concepts will play out in legislation.
Therese Miranda
Former Junior Fellow, Energy and Climate Program
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
It should address the shortcomings of previous crisis communication efforts and adapt to the demands of frontier AI.
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