Policy drivers for improving electricity end-use efficiency in the USA: An economic-engineering analysis

Energy Efficiency

Volumn 7, Issue 3, 2014, Pages 517-546

  Wang, Yu ^a   Brown, Marilyn A ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Achievable potential; Carbon dioxide emissions; Electricity efficiency; Policy impacts; Policy supply curve

Indexed keywords

CARBON DIOXIDE; COST EFFECTIVENESS; ENERGY EFFICIENCY; GLOBAL WARMING;

ACHIEVABLE POTENTIAL; CARBON DIOXIDE EMISSIONS; ECONOMIC ENGINEERING; ELECTRICITY EFFICIENCIES; ENERGY EFFICIENCY POLICIES; GEORGIA INSTITUTE OF TECHNOLOGY; NATIONAL ENERGY MODELING SYSTEM; SUPPLY CURVES;

COST ESTIMATING;

CARBON DIOXIDE; COST-BENEFIT ANALYSIS; ELECTRICITY GENERATION; ENERGY EFFICIENCY; ENERGY POLICY; ENERGY RESOURCE; POLICY APPROACH;

UNITED STATES;

EID: 84899583099     PISSN: 1570646X     EISSN: 15706478     Source Type: Journal    
DOI: 10.1007/s12053-013-9237-3     Document Type: Article

References (56)

1. Allcott, H., & Greenstone, M. (2012). Is there an energy efficiency gap? Journal of Economic Perspectives, 26(1), 3-28.
2. Amstalden, R. W., Kost, M., Nathani, C., & Imboden, D. M. (2007). Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations. Energy Policy, 35(3), 1819-1829. Retrieved from http://www. sciencedirect. com/science/article/pii/S0301421506002576.
3. Arimura, T. H., Newell, R. G., Medina, Z., Iwata, K., Myers, E., Mi, J., Jacobsen, M. (2011). Cost-effectiveness of electricity energy efficiency programs. Cambridge: NBER.
4. Auffhammer, M., Blumstein, C., & Fowlie, M. (2008). Demand side management and energy efficiency revisited. The Energy Journal, 29(3), 91-104.
5. 2 emissions: How much, how soon, and at what cost? Environmental Science & Technology, 47, 2502-2511.
6. Brown, M. A., & Chandler, S. J. (2008). Governing confusion: How statutes, fiscal policy, and regulations impede clean energy technologies. Stanford Law and Policy Review, 19(3), 472-509.
7. Brown, M. A., Cox, M., & Sun, X. (2012). Modeling the impact of a carbon tax on commercial building sector. In Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA.
8. Brown, M. A., Gumerman, E., Sun, X., Baek, Y., Wang, J., & Cortes, R. (2010). Energy efficiency in the south. Atlanta: Southeast Energy Efficiency Alliance.
9. Brown, M. A., Jackson, R., Cox, M., Cortes, R., Deitchman, B., & Lapsa, M. V. (2011). Making industry part of the climate solution: Policy options to promote energy efficiency. Tennessee: Oak Ridge.
10. Brown, M. A., Laitner, J. A., Chandler, S., Kelly, E. D., Vaidyanathan, S., McKinney, V., Langer, T. (2009). Energy efficiency in Appalachia: How much more is available, at what cost, and by when? Retrieved from http://www. arc. gov/research/researchreportdetails. asp?REPORT_ID=70.
11. Brown, M. A., Levine, M. D., Romm, J. P., Rosenfeld, A. H., & Koomey, J. G. (1998). Engineering-economic studies of energy technologies to reduce greenhouse gas emissions: Opportunities and challenges. Annual Review of Energy and the Enivronment, 23, 287-385.
12. Brown, M. A., Levine, M. D., Short, W., & Koomey, J. G. (2001). Scenarios for a clean energy future. Energy Policy, 29(14), 1179-1196. doi: 10. 1016/S0301-4215(01)00066-0.
13. Brown, M. A., & Sovacool, B. K. (2011). Barriers to the diffusion of climate-friendly technologies. International Journal of Technology Transfer and Commercialization, 10(1), 43-62.
14. Coller, M., & Williams, M. B. (1999). Eliciting individual discount rates. Experimental Economics, 2(2), 107-127. Retrieved from http://www. library. gatech. edu: 2048/login?url=http://search. proquest. com/docview/222808532?accountid=11107.
15. Committee on Climate Change Science and Technology Integration (CCCSTI). (2009). Strategies for the commercialization and deployment of greenhouse gas intensity-reducing technologies and practices. Washington: CCCSTI.
16. Cox, M., Brown, M. A., & Sun, X. (2013). Energy benchmarking of commercial buildings: A low-cost pathway toward urban sustainability. Environmental Research Letters, 8(3), 035018. doi: 10. 1088/1748-9326/8/3/035018.
17. Croucher, M. (2011). Potential problems and limitations of energy conservation and energy efficiency. Energy Policy, 39(10), 5795-5799. doi: 10. 1016/j. enpol. 2011. 07. 011.
18. Dietz, T. (2010). Narrowing the US energy efficiency gap. In Proceedings of the National Academy of Sciences (p. 16007).
19. Electric Power Research Institute (EPRI). (2009). Assessment of achievable potential from energy efficiency and demand response programs in the U. S. (2010-2030). Palo Alto: EPRI.
20. Feng, D., Sovacool, B. K., & Minh Vu, K. (2010). The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province. Energy Policy, 38(2), 1202-1209. Retrieved from http://www. sciencedirect. com/science/article/pii/S0301421509008404.
21. Foster, B., Chittum, A., Hayes, S., Neubauer, M., Nowak, S., Vaidyanathan, S., Jacobson, A. (2012). The 2012 state energy efficiency scorecard. Washington, DC: ACEEE.
22. Friedrich, K., Eldridge, M., York, D., Witte, P., & Kushler, M. (2009). Saving energy cost-effectively: A national review of the cost of energy saved through utility-sector energy efficiency programs (vol. 20045). Retrieved from http://aceee. org/research-report/u092.
23. Fuerst, F., & McAllister, P. (2011). Eco-labeling in commercial office markets: Do LEED and Energy Star offices obtain multiple premiums? Ecological Economics, 70(6), 1220-1230. doi: 10. 1016/j. ecolecon. 2011. 01. 026.
24. Geller, H. (2002). Energy revolution: Policies for a sustainable future. Washington, DC: Island Press.
25. Gellings, C., Wikler, G., & Ghosh, D. (2006). Assessment of U. S. electric end-use energy efficiency potential. The Electricity, 19(9), 55-69.
26. Goett, A. (1983). Household appliance choice: Revision of REEPS behavioral models. Palo Alto: Electric Power Research Institute.
27. Hirst, E., & Brown, M. (1990). Closing the efficiency gap: Barriers to the efficient use of energy. Resources, Conservation and Recycling, 3(4), 267-281. Retrieved from http://www. sciencedirect. com/science/article/pii/092134499090023W.
28. International Energy Agency (IEA). (2007). Energy security and climate policy-Assessing interactions. Paris: OECD/IEA.
29. Jaffe, A. B., & Stavins, R. N. (1994). The energy-efficiency gap what does it mean? Energy Policy, 22(10), 804-810. Retrieved from http://www. sciencedirect. com/science/article/pii/0301421594901384.
30. Kim, G., Baer, P., & Brown, M. A. (2013). The statewide job generation impacts of expanding industrial CHP. In Proceedings of the ACEEE Summer Study on Energy Efficiency in Industry, Niagara Falls, NY.
31. Kneifel, J. (2010). Life-cycle carbon and cost analysis of energy efficiency measures in new commercial buildings. Energy and Buildings, 42(3), 333-340. Retrieved from http://www. sciencedirect. com/science/article/pii/S0378778809002254.
32. Koopmans, C. C., & te Velde, D. W. (2001). Bridging the energy efficiency gap: Using bottom-up information in a top-down energy demand model. Energy Economics, 23(1), 57-75. doi: 10. 1016/S0140-9883(00)00054-2.
33. Laitner, J. A. S., Nadel, S., Elliott, R. N., Sachs, H., & Khan, A. S. (2012). The long-term energy efficiency potential: What the evidence suggests. Retrieved from http://www. aceee. org/sites/default/files/publications/researchreports/e121. pdf.
34. Levine, M. D., Koomey, J. G., McMahon, J. E., Sanstad, A., & Hirst, E. (1995). Energy efficiency policy and market failures. Annual Review of Energy and the Environment, 20, 535-555.
35. McKinsey & Co. (2009). Unlocking energy efficiency in the U. S. economy. New York: McKinsey & Co.
36. Meier, A., Rosenfeld, A. H., & Wright, J. (1982). Supply curves of conserved energy for California's residential sector. Energy, 7(4), 347-358. doi: 10. 1016/0360-5442(82)90094-9.
37. Nadel, S., Amann, J., Hayes, S., Bin, S., Young, R., Mackres, E., & Watson, S. (2013). An introduction to U. S. policies to improve building efficiency. Washington, DC: ACEEE.
38. Nadel, S., Shipley, A., & Elliott, R. N. (2004). The technical, economic and achievable potential for energy-efficiency in the U. S. A meta-analysis of recent studies analysis of recent studies. In 2004 ACEEE Summer Study on Energy Efficiency in Buildings.
39. National Academies. (2009). Real prospects for energy efficiency in the United States. Washington, DC: The National Academies Press.
40. Navigant Consulting, Inc. (2013). Assessment of resources within the eastern interconnection. Burlington: Navigant Consulting, Inc.
41. Office of Management and Budget (OMB). (2002). Guidelines and discount rates for benefit cost analysis of federal programs. Retrieved from http://www. whitehouse. gov/omb/rewrite/circulars/a094/a094. html.
42. Office of Management and Budget (OMB). (2003). Circular A-4. Retrieved from http://www. whitehouse. gov/sites/default/files/omb/assets/regulatory_matters_pdf/a-4. pdf.
43. Office of Management and Budget (OMB). (2009). 2010 discount rates for OMB circular no. A-94. Retrieved from http://www. whitehouse. gov/omb/assets/memoranda_2010/m10-07. pdf.
44. Rogers, E. A., Elliott, R. N., Chittum, A., Bell, C., & Sullivan, T. (2013). Introduction to U. S. policies to improve industrial efficiency, July.
45. Sadineni, S. B., France, T. M., & Boehm, R. F. (2011). Economic feasibility of energy efficiency measures in residential buildings. Renewable Energy, 36(11), 2925-2931. Retrieved from http://www. sciencedirect. com/science/article/pii/S0960148111001789.
46. Saygin, D., Patel, M. K., Worrell, E., Tam, C., & Gielen, D. J. (2011). Potential of best practice technology to improve energy efficiency in the global chemical and petrochemical sector. Energy, 36(9), 5779-5790. doi: 10. 1016/j. energy. 2011. 05. 019.
47. Scott, M. J., Roop, J. M., Schultz, R. W., Anderson, D. M., & Cort, K. A. (2008). The impact of DOE building technology energy efficiency programs on U. S. employment, income, and investment. Energy Economics, 30(5), 2283-2301. Retrieved from http://www. sciencedirect. com/science/article/pii/S0140988307001119.
48. Sorrell, S., Dimitropoulos, J., & Sommerville, M. (2009). Empirical estimates of the direct rebound effect: A review. Energy Policy, 37(4), 1356-1371. Retrieved from http://www. sciencedirect. com/science/article/pii/S0301421508007131.
49. Sreedharan, P. (2013). Recent estimates of energy efficiency potential in the USA. Energy Efficiency, 6(3), 433-445. doi: 10. 1007/s12053-012-9183-5.
50. Tonn, B., & Peretz, J. H. (2007). State-level benefits of energy efficiency. Energy Policy, 35(7), 3665-3674. doi: 10. 1016/j. enpol. 2007. 01. 009.
51. US Energy Information Administration (EIA). (2009). The national energy modeling system: An overview. Energy (vol. 0581).
52. US Energy Information Administration (EIA). (2012). Annual energy review 2011 (p. 220).
53. US Energy Information Administration (EIA). (2013a). Annual energy outlook. Washington, DC: US EIA.
54. US Energy Information Administration (EIA). (2013b). Interconnection exchange. Retrieved August 5, 2013, from http://www. eia. gov/electricity/wholesale/.
55. US Environmental Protection Agency (EPA). (2010). Technical support document: Social cost of carbon for regulatory impact analysis under executive order 12866. Retrieved from http://www. epa. gov/otaq/climate/regulations/scc-tsd. pdf.
56. Zheng, S., Wu, J., Kahn, M. E., & Deng, Y. (2012). The nascent market for "green" real estate in Beijing. European Economic Review, 56(5), 974-984. doi: 10. 1016/j. euroecorev. 2012. 02. 012.