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This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
As electricity demand increases, policymakers must make decisions about which energy resources will meet future demands. Much of the recent literature has focused on the contribution of new coal power plants to carbon emissions (Milford et al., 2005; Milford et al., 2007; MIT 2007). However, policymakers and industry are increasingly interested in job creation and economic development analyses to understand the full impacts of new electricity generation projects.1 Additionally, economic development impacts are often a critical piece in building public support for wind power projects. The purpose of this research is to look at the specific factors that drive wind-power-related economic development and to better understand...
As electricity demand increases, policymakers must make decisions about which energy resources will meet future demands. Much of the recent literature has focused on the contribution of new coal power plants to carbon emissions (Milford et al., 2005; Milford et al., 2007; MIT 2007). However, policymakers and industry are increasingly interested in job creation and economic development analyses to understand the full impacts of new electricity generation projects.1 Additionally, economic development impacts are often a critical piece in building public support for wind power projects. The purpose of this research is to look at the specific factors that drive wind-power-related economic development and to better understand...
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This file contains Excel spreadsheets showing Coalbed Natural Gas monitoring wells maintained by the Bureau of Land Management, Buffalo Field Office. All data have not gone thru extensive QA/QC standards and should be considered preliminary.
As electricity demand increases, policymakers must make decisions about which energy resources will meet future demands. Much of the recent literature has focused on the contribution of new coal power plants to carbon emissions (Milford et al., 2005; Milford et al., 2007; MIT 2007). However, policymakers and industry are increasingly interested in job creation and economic development analyses to understand the full impacts of new electricity generation projects.1 Additionally, economic development impacts are often a critical piece in building public support for wind power projects. The purpose of this research is to look at the specific factors that drive wind-power-related economic development and to better understand...
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