Home > Forecasts & Analysis > Annual Energy Outlook Analyses > Limits on the Response to Higher Energy Prices in the End-Use Sectors > Notes

Limits on the Response to Higher Energy Prices in the End-Use Sectors
 

Notes and Sources

90.  Reviews of energy demand elasticities include C. Dahl, A Survey of Energy Demand Elasticities in Support of the Development of the NEMS, Contract Number DE-AP01-93EI23499 (Washington, DC, October 1993). 

91.  Federal Energy Regulatory Commission, Assessment of Demand Response and Advanced Metering, Staff Report, Docket AD-06-2-000 (Washington, DC, August 2006), web site www.ferc.gov/legal/staff-reports/demand-response.pdf. 

92.  Energy Information Administration, Commercial Buildings Energy Consumption Survey (2003 data), web site www.eia.gov/emeu/cbecs. 

93.  L.J. Sandahl, T.L. Gilbride, M.R. Ledbetter, H.E. Steward, and C. Calwell, Compact Fluorescent Lighting in America: Lessons Learned on the Way to Market, PNNL-15730 (Richland, WA: Pacific Northwest National Laboratory, June 2006), web site www.eere.energy.gov/buildings/info/documents/pdfs/ cfl_lessons_learned_web.pdf. 

94.  Web sites www.energystar.gov and www.eere.energy. gov/buildings/building_america. 

95.  K.A. Hanson, “Seasonality of Moves and Duration of Residence,” U.S. Census Bureau, Current Population Reports, Household Economic Studies (October 1998), web site www.census.gov/prod/3/98pubs/p70-66.pdf. 

96.  R. Nevin and G. Watson, “Evidence of Rational Market Valuations for Home Energy Efficiency,” Appraisal Journal (October 1998). 

97.  Apparently, some very low-cost projects are never undertaken. See S.T. Anderson and R.G. Newell, “Information Programs for Technology Adoption: The Case of Energy-Efficiency Audits,” Resource and Energy Economics, Vol. 26, No. 1 (March 2004), pp. 27-50. See web site www.rff.org/~newell/ ResEnergyEcon.pdf. 

98.  R.B. Lung, A. McKane, and M. Olszewski, “Industrial Motor System Optimization Projects in the US: An Impact Study,” TAPPI, web site www.tappi.org/s_tappi/sec_publications.asp?CID=4583&DID= 510344; and U.S. Department of Energy, Office of Industrial Technologies, “Georgia Pacific’s Insulation Upgrade Leads to Reduced Fuel Costs and Increased Process Efficiency,” web site www1.eere.energy.gov/ industry/bestpractices/pdfs/insulation.pdf. 

99.  Based on data from the U.S. Census Bureau’s 2004 Annual Survey of Manufactures, published in Statistics for Industry Groups and Industries: 2004, M04(AS)-1 (Washington, DC, December 2005), web site www.census.gov/mcd/asm-as1.html. 

100.  Based on data from EIA’s 2002 Manufacturing Energy Consumption Survey (MECS), Tables 10.2 to 10.13, web site www.eia.gov/emeu/mecs/mecs2002/data02/shelltables.html. Petrochemical feedstocks are not reported separately in MECS but are included in this calculation. 

101.  See W.A. Pizer, W. Harrington, R.J. Kopp, R.D. Morgenstern, and J-S Shih, “Technology Adoption and Aggregate Energy Efficiency,” Discussion Paper 02-52 (Washington, DC: Resources for the Future, December 2002), web site www.rff.org/Documents/RFF-DP-02- 52.pdf.