COLLEGE PARK, Md. – Maryland officials can reduce electricity use in the state significantly by investing revenues from the Regional Greenhouse Gas Initiative (RGGI) cap-and-trade auctions in energy efficiency programs, says a new study from a University of Maryland-led research team. It adds that neighboring states might benefit as well.
Investments might range from direct subsidies helping consumers or businesses buy more energy-efficient appliances to technical assistance retrofitting buildings to public awareness campaigns, though the study does not recommend any specific approach.
Members of the 10-state RGGI group, including Maryland, recently conducted the nation's first carbon emissions auction, raising nearly $40 million in revenues. State officials have begun making plans for allocating that money, with the largest portion to be devoted to efforts to increase energy efficiency. http://www.mde.state.md.us/assets/document/EnviroMatters100208.pdf
The new study concludes that:
The University of Maryland's Center for Integrative Environmental Research (CIER) produced the study along with a research team from Resources for the Future, The Johns Hopkins University, and Towson University.
"Our findings suggest that state decision makers are heading in the right direction," says University of Maryland public policy professor Matthias Ruth, the principal investigator and director of the Center for Integrative Environmental Research. "Maximizing spending on energy efficiency does pay off in significantly increased benefits and encouraging efficiency accounts for the major part of the state's most recent plans."
The Maryland Department of Environment commissioned the study, "The Role of Energy Efficiency Spending in Maryland's Implementation of the Regional Greenhouse Gas Initiative" to help the state explore the economic and environmental implications of using RGGI revenue in support of energy efficiency programs, as well as to determine the impact on producers, consumers and other stakeholders. The analysis began prior to last month's auction and the study's findings are not based on its results.
"Our study doesn't prescribe a specific investment strategy for the state, but instead provides a yardstick for measuring the impact of investments in energy efficiency," Ruth adds. "The bottom line is that the revenues from the nation's first greenhouse gas auction can be invested to decrease energy consumption and create a positive overall economic impact, all while providing significant environmental benefits. This research should give officials independent confirmation that they're on solid economic ground."
As a member of the 10-state RGGI pact, the state is allocated an annual budget, or a cap, for carbon dioxide emissions allowances. By auctioning these off to energy producers, the state raises money, some of which must be used to benefit consumers.
Using a series of sophisticated modeling techniques, the research team compared the impact of investing half versus all auction revenues in efficiency improvements against a low-investment baseline of one-quarter. These scenarios assume that Maryland will sell off all of its allowances to producers, rather than giving some away. Auctioning a majority of allowances is the "clear trend" among most RGGI states, the report says.
The full CIER report is available online: http://cier.umd.edu/RGGI/index.html.
Among the CIER study's findings:
This is the second RGGI study produced by the University of Maryland-led team. In 2007, they forecast the likely effects of Maryland joining RGGI. This new report builds on their previous work. http://www.newsdesk.umd.edu/sociss/release.cfm?ArticleID=1394
Three models were employed by the research team to determine a variety of impacts on the economy and the electric power grid. Included in the study were effects within other RGGI states and related areas.
By using three separate models, the research team was able to sharpen and customize its projections and cover the broad array of effects and geographical areas to be studied. Three subcontractors provided projections based on their proprietary models.
HAIKU MODEL: A national economic simulation model of electricity markets based on market equilibrium concepts. Haiku was created by Dallas Burtraw, Karen Palmer and Anthony Paul from Resources for the Future, a nonprofit and nonpartisan organization that conducts independent research on environmental, energy, and natural resource issues. This model helped to answer questions such as how will Maryland's electric power prices change and how will the fuel mix for power generation change at different levels of energy efficiency investment. This model also provided data for the other researchers.
JHU-OUTEC: "Johns Hopkins University-Oligopoly Under Transmission and Emissions Constraints" was developed by Ben Hobbs and Yihsu Chen. It is a regional market equilibrium model for the mid-Atlantic power generation market. It is designed to account for the possible exercise of market power in the generation sector. By incorporating details about the region's electric transmission grid, the model helped assess how market power of generation companies could be affected by the energy efficiency investment scenarios.
IMPLAN: Towson University used IMPLAN, an input-output model, to estimate statewide changes in employment levels, among other important economic indicators. Daraius Irani of Towson's Regional Economics Study Institute (RESI) and Jeffrey Michael formerly of Towson University measured statewide economic and fiscal impacts of the investment scenarios.
The research was conducted by CIER, the University of Maryland's Center for Integrative Environmental Research. CIER addresses complex environmental challenges through research that explores the dynamic interactions among environmental, economic and social forces and stimulates active dialogue with stakeholders, researchers and decision makers. Researchers and students at CIER, working at local, regional, national and global scales, are developing strategies and tools to guide policy and investment decisions. For additional information, visit http://www.cier.umd.edu
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