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Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers

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  • Lim, Seong-Rin
  • Schoenung, Julie M.

Abstract

The Energy Star labeling program contributes to reducing economic and environmental impacts. Although product-specific criteria for the label are developed by taking into account potential energy savings, more robust criteria need to be developed to minimize energy consumption (and consequential global warming potential (GWP)). The objectives of this study are: (i) to measure what we refer to as the technical and cost efficiencies of products with respect to the relative Energy Star criteria achievement rate and GWP, respectively; and (ii) to analyze the relationship between these efficiencies and product design features, using stochastic frontier analysis (SFA) and data envelopment analysis (DEA). As an example, these analyses are applied to data for desktop computers. The results indicate that desktop computer manufacturers currently achieve energy savings that exceed those required by the Energy Star label. The principal product design features affecting the efficiencies are primarily the efficiency and power capacity of the power supply and the number of cores in the central processing unit. This study can help the program develop more robust criteria that ultimately reduce GWP and can provide guidance to manufacturers to strategically improve energy efficiency.

Suggested Citation

  • Lim, Seong-Rin & Schoenung, Julie M., 2011. "Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers," Energy Policy, Elsevier, vol. 39(12), pages 8003-8010.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:12:p:8003-8010
    DOI: 10.1016/j.enpol.2011.09.055
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    References listed on IDEAS

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    1. Kalirajan, K P & Shand, R T, 1999. " Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
    2. Honma, Satoshi & Hu, Jin-Li, 2009. "Total-factor energy productivity growth of regions in Japan," Energy Policy, Elsevier, vol. 37(10), pages 3941-3950, October.
    3. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    4. Agrell, Per J. & Bogetoft, Peter, 2005. "Economic and environmental efficiency of district heating plants," Energy Policy, Elsevier, vol. 33(10), pages 1351-1362, July.
    5. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    6. Sanchez, Marla C. & Brown, Richard E. & Webber, Carrie & Homan, Gregory K., 2008. "Savings estimates for the United States Environmental Protection Agency's ENERGY STAR voluntary product labeling program," Energy Policy, Elsevier, vol. 36(6), pages 2098-2108, June.
    7. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
    8. Webber, C. A. & Brown, R. E. & Koomey, J., 2000. "Savings estimates for the E S(R) voluntary labeling program," Energy Policy, Elsevier, vol. 28(15), pages 1137-1149, December.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    10. Hu, Jin-Li & Kao, Chih-Hung, 2007. "Efficient energy-saving targets for APEC economies," Energy Policy, Elsevier, vol. 35(1), pages 373-382, January.
    11. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    12. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    13. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    14. McWhinney, Marla & Fanara, Andrew & Clark, Robin & Hershberg, Craig & Schmeltz, Rachel & Roberson, Judy, 2005. "ENERGY STAR product specification development framework: using data and analysis to make program decisions," Energy Policy, Elsevier, vol. 33(12), pages 1613-1625, August.
    15. Paul Bishop & Steven Brand, 2003. "The efficiency of museums: a stochastic frontier production function approach," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1853-1858.
    16. B. Howarth, Richard & Haddad, Brent M. & Paton, Bruce, 2000. "The economics of energy efficiency: insights from voluntary participation programs," Energy Policy, Elsevier, vol. 28(6-7), pages 477-486, June.
    17. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
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    Cited by:

    1. Siderius, Hans-Paul, 2014. "Setting MEPS for electronic products," Energy Policy, Elsevier, vol. 70(C), pages 1-13.

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