Abstract
Numerous studies have shown the potential for US manufacturing to cut its energy costs by installing more efficient equipment that offers competitive payback periods, but the realization of this potential is hindered by numerous obstacles. This paper evaluates seven federal policy options aimed at revitalizing US manufacturing by improving its energy economics while also achieving environmental and energy reliability goals. Traditionally, policy analysts have examined the cost-effectiveness of energy policies using deterministic assumptions. When risk factors are introduced, they are typically examined using sensitivity analysis to focus on alternative assumptions about budgets, policy design, energy prices, and other such variables. In this paper, we also explicitly model the stochastic nature of several key risk factors including future energy prices, damages from climate change, and the cost of criteria pollutants. Using these two approaches, each policy is "stress tested" to evaluate the likely range of private and social returns on investment. Overall, we conclude that the societal cost-effectiveness of policies is generally more sensitive to alternative assumptions about damages from criteria pollutants and climate change compared with energy prices; however, risks also vary across policies based partly on the technologies they target. Future research needs to examine the macroeconomic consequences of the choice between a lethargic approach to energy waste and modernization in manufacturing versus a vigorous commitment to industrial energy productivity and innovation as characterized by the suite of policies described in this paper.
Similar content being viewed by others
Notes
Indeed, the very premise of Monte Carlo modeling is that, for complex models that can only be run thousands rather than millions of times, the distribution of a particular set of runs is a sample of the “distribution of distributions” based on the random number sequence that is realized and may itself have a substantial variance of the mean (and of the other moments of the distribution).
References
Ackerman, F., & Heinzerling, L. (2003). Priceless: On knowing the price of everything and the value of nothing. New York: The New Press.
Bernhardt, E. S., & Palmer, M. A. (2011). The environmental costs of mountaintop mining valley fill operations for aquatic ecosystems of the Central Appalachians. Annals of the New York Academy of Sciences, 1223, 39–57. doi:10.1111/j.1749-6632.2011.05986.x.
Brown, M.A., Chandler, J., Lapsa, M.V., Ally, M. (2011a). Adding a behavioral dimension to residential construction and retrofit policies. In K. E. Martinez, S. Laitner (eds.), Energy smart behaviors, people centered policies, and public engagement.
Brown, M. A., Cortes, R., & Cox, M. (2010). Reinventing industrial energy use in a resource-constrained world. In F. Sioshansi (Ed.), Smart living in the coming age of scarcity. Maryland Heights: Elsevier Press. Chapter 8.
Brown, M. A., Jackson, R., Cox, M., Cortes, R., Deitchman, B., Lapsa, M. V. (2011b). Making industry part of the climate solution: Policy options to promote energy efficiency. Oak Ridge National Laboratory, ORNL/TM-2010/78, May.
Brown, M. A., & Sovacool, B. K. (2011). Climate change and global energy: Technology and policy options. Cambridge: The MIT Press.
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, DC: U.S. Department of Energy, DOE/PI-0007.
Cox, M., Brown, M. A., Jackson, R. (2011). Regulatory reform to promote clean energy: The potential of output-based emissions standards. 2011 ACEEE Summer Study on Energy Efficiency in Industry.
Cullenward, D., Schipper, L., Sudarshan, A., & Howarth, R. B. (2011). Psychohistory revisited: Fundamental issues in forecasting climate futures. Climatic Change, 104(3–4), 457–472. doi:10.1007/s10584-010-9995-2.
Dergiades, T., & Tsoulfidis, L. (2008). Estimating residential demand for electricity in the United States. Energy Economics, 30(5), 2722–2730.
Department of Energy, Industrial Technologies Program (DOE/ITP) (2010). MotorMaster+. Olympia, WA: Washington State University Energy Extension Program.
Dunn, W. N. (2011). Public policy analysis: An introduction, fifth edition. Pearson Prentice Hall.
Energy Information Administration (EIA) (2010). Annual energy outlook 2010. Retrieved from http://www.eia.gov/oiaf/archive/aeo10/index.html.
Energy Information Administration (EIA) (2011a). Analysis of Impacts of a Clean Energy Standard, as requested by Chairman Bingaman. Retrieved from http://www.eia.gov/analysis/requests/ces_bingaman/pdf/ces_bingaman.pdf.
Energy Information Administration (EIA) (2011b). Annual energy outlook 2011. Retrieved from http://205.254.135.7/forecasts/aeo/pdf/0383(2011).pdf.
Environment and Development Division (2001). Energy efficiency—promotion of energy efficiency in industry and financing of investments. United Nations. Retrieved from http://www.unescap.org/esd/publications/energy/finance/part3_shin.html.
Ericsson, K. (2006). Evaluation of the Danish voluntary agreements on energy efficiency in trade and industry. Retrieved from http://www.aid-ee.org/documents/011Danishvoluntaryagreements.PDF.
Espey, J., & Espey, M. (2004). Turning on the lights: A meta-analysis of residential electricity demand elasticities. Journal of Agricultural and Applied Economics, 36(1), 65–81.
European Association for the Promotion of Cogeneration (2001). A guide to cogeneration. Belgium. Retrieved from http://www.energymanagertraining.com/CHPMaterial/12-V-EDUCOGEN_Cogen_Guide.pdf.
Fleiter, T., Gruber, E., Eichhammer, W., & Worrell, E. (2012). The German energy audit program for firms—A cost-effective way to improve energy efficiency? Energy Efficiency. doi:10.1007/s12053-012-9157-7.
Freedman, B. S., & Watson, S. (2003). Output-based emission standards: Advancing innovative energy technologies. Washington, D.C.
Fuller, M. (2010). PACE financing programs: Enabling investments in clean energy. Retrieved on May 30, 2012. http://www.nga.org/files/live/sites/NGA/files/pdf/1001RETROFITFULLER.PDF.
Granade, H., Choi, J., Creyts, A., Derkach, P., Farese, S. N., Ostrowski, K. (2009). Unlocking energy efficiency in the U.S. Economy. McKinsey & Company. Retrieved from http://www.mckinsey.com/clientservice/electricpowernaturalgas/downloads/US_energy_efficiency_full_report.pdf.
Industrial Assessment Center (IAC) (2010). Database. Retrieved from on January 19, 2010. http://iac.rutgers.edu/database/.
International Energy Agency (IEA) (2011). Are we entering a golden age of gas? World energy outlook special report.
International Energy Agency (IEA) (2012). Energy management programmes for industry. Retrieved from January 20, 2012. http://www.iea.org/publications/freepublications/publication/policypathwaysindustry.pdf.
Jackson, R. K., Brown, M. A., Cox, M. (2011). Policy analysis of incentives to encourage adoption of the superior energy performance program. 2011 ACEEE summer study on energy efficiency in industry. Retrieved from http://www.aceee.org/files/proceedings/2011/data/papers/0085-000067.pdf.
Ministry of Climate and Energy (2012). The Danish voluntary agreement scheme. Retrieved from January 20, 2012. http://www.ens.dk/da-DK/ForbrugOgBesparelser/IndsatsIVirksomheder/TilskudtilCO2afgift/Documents/the%20danish%20voluntary%20agreement%20scheme%20240612.pdf.
Muller, N. Z. (2011). Linking policy to statistical uncertainty in air pollution damages. The B.E. Journal of Economic Analysis & Policy, 11(1).
National Research Council. (2009). Hidden costs of energy: Unpriced consequences of energy production and use. Washington, DC: The National Academies Press.
Nadel, S., Elliott, R. N., Shephard, M., Greenberg, S., Katz, G., & de Almeida, A. T. (2002). Energy-efficient motor systems: A handbook on technology, program and policy opportunities (2nd ed.). Washington, DC: American Council for an Energy-Efficient Economy.
National Electrical Manufacturers Association (NEMA) (2012). Energy efficiency coalition for industry. Retrieved from http://www.nema.org/gov/energy/efficiency/Industrial.cfm.
Office of Management and Budget (OMB) (2002). Guidelines and discount rates for benefit–cost analysis of federal programs. Retrieved from http://www.whitehouse.gov/sites/default/files/omb/assets/a94/a094.pdf.
Office of Management and Budget (OMB) (2009). 2010 discount rates for OMB Circular No. A-94. Retrieved December 8, 2011, from http://www.whitehouse.gov/sites/default/files/omb/assets/memoranda_2010/m10-07.pdf.
Owen, D. (2010). The Efficiency Dilemma. The New Yorker, 78–85.
Pond, G. J., Passmore, M. E., Borsuk, F., Reynolds, L., & Rose, C. J. (2008). Downstream effects of mountaintop coal mining: Comparing biological conditions using family- and genus-level macroinvertebrate bioassessment tools. Journal of the North American Benthological Society, 27(3), 717–737. doi:10.1899/08-015.1.
Prindle, B. (2010). From shop floor to top floor: Best business practices in energy efficiency. Washington, DC: Pew Center on Global Climate Change.
Productivity Commission (2011). Carbon emission policies in key economies, research report. Canberra.
Richardson, J. W. (2008). Simulation for applied risk management with an introduction to SIMETAR. Department of Agricultural Economics, Texas A&M University.
Sagoff, M. (1988). The economy of the Earth: Philosophy, law and the environment. Cambridge: Cambridge University Press.
Sovacool, B. K. (2008). The dirty energy dilemma: What’s blocking clean power in the United States. Westport: Praeger Publishers.
Thiruchelvam, M., & Kumar, S. (2003). Policy options to promote energy efficient and environmentally sound technologies in small- and medium-scale industries. Energy Policy, 31(10), 977–987. doi:10.1016/S0301-4215(02)00140-4.
Tol, R. S. J. (2005). The marginal damage costs of carbon dioxide emissions: An assessment of the uncertainties. Energy Policy, 33(16), 2064–2074. doi:10.1016/j.enpol.2004.04.002.
U.K. Department of Energy and Climate Change (UKDECC) (2012). The green deal. Retrieved on May 30, 2012. http://www.decc.gov.uk/en/content/cms/tackling/green_deal/green_deal.aspx.
U.S. Environmental Protection Agency (USEPA) (2004). Output-based regulations: A handbook for air regulators. Retrieved from http://www.epa.gov/chp/documents/obr_final_9105.pdf.
U.S. Environmental Protection Agency (USEPA) (2007). Inventory of U.S. greenhouse gas emissions and sinks: 1990–2001. Annex B. Washington, DC: U.S. EPA. Retrieved from http://www.eia.doe.gov/oiaf/1605/coefficients.html.
U.S. Environmental Protection Agency (USEPA) (2009). Energy portfolio standards and the promotion of combined heat and power, April. Retrieved from http://www.epa.gov/chp/documents/eps_and_promotion.pdf.
U.S. Environmental Protection Agency (USEPA) (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.
Vithayasrichareon, P., & MacGill, I. F. (2012). A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries. Energy Policy, 41, 374-392. Elsevier. doi:10.1016/j.enpol.2011.10.060.
Weimer, D. L., & Vining, A. R. (2011). Policy analysis: Concepts and practice, fifth edition. Englewood Cliffs, NJ, Pearson Prentice Hall.
Weitzman, M. (2009). On modeling and interpreting the economics of catastrophic climate change. The Review of Economics and Statistics, 91(February), 1–19.
Worrell, E., Laitner, J. A., Ruth, M., & Finman, H. (2003). Productivity benefits of industrial energy efficiency measures. Energy, 28(11), 1081–1098.
Wright, A., Martin, M., Nimbalkar,S., Quinn, J., Glatt, S., Orthwein, B. (2010). Results from the DOE 2008 save energy now assessment initiative. Oak Ridge National Laboratory, ORNL/TM-2010/145. Retrieved from http://info.ornl.gov/sites/publications/files/Pub25190.pdf.
Acknowledgments
Support for this research was provided by Oak Ridge National Laboratory and the Department of Energy’s Office of Policy and International Affairs. Assistance with the analysis of the Superior Energy Performance and Implementation Support Services policies was provided by Roderick Jackson of Oak Ridge National Laboratory. Assistance with the Small Firm Energy Management program was provided by Rodrigo Cortes, and assistance with the analysis of Industrial Motor Rebates was provided by Ben Deitchman, both from the Georgia Institute of Technology. We also wish to thank two reviewers for the Energy Efficiency journal for their constructive comments. Any remaining errors in this paper are the responsibility of the authors alone.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Brown, M.A., Baer, P., Cox, M. et al. Evaluating the risks of alternative energy policies: a case study of industrial energy efficiency. Energy Efficiency 7, 1–22 (2014). https://doi.org/10.1007/s12053-013-9196-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12053-013-9196-8