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Potential energy saving via overall efficiency relying on quality of life

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  • Nadimi, Reza
  • Tokimatsu, Koji

Abstract

Various studies utilize the data envelopment analysis (DEA) technique to measure the efficiency of decision making units (DMUs) in energy system. An inappropriate input- or output-oriented DEA model as well as heterogeneous DMUs can cause unreasonable results in efficiency analysis. K-Means clustering algorithm was applied to classify homogenous countries in the demand and supply sides of an energy system. An input- oriented DEA model was used to analyze power stations (PS) under renewable energy. While, an output-oriented model was used not only to examine PS’ efficiency under non-renewables and refineries, but also in the demand analysis. Further, the output variable for the demand analysis consisted of an energy-related quality of life (QoL) indicator. The overall energy efficiency was calculated through multiplying the supply efficiency by the demand efficiency. The results of the paper showed that the highest potential energy saving (PES) sources on the supply side were the non-renewables in power stations, followed by refineries, then renewables. The demand-side analysis identified that the highest PES belonged to countries with high populations and high-income economies. In conclusion, the overall energy efficiency analysis based on QoL suggested allowances be made to use fossil fuels in poorer countries with weak economies and smaller populations. This allowance was proposed to support energy poverty reduction, improve health, and promote education.

Suggested Citation

  • Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    • Handle: RePEc:eee:appene:v:233-234:y:2019:i::p:283-299
    DOI: 10.1016/j.apenergy.2018.10.039
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    References listed on IDEAS

    as
    1. Steinberger, Julia K. & Roberts, J. Timmons, 2010. "From constraint to sufficiency: The decoupling of energy and carbon from human needs, 1975-2005," Ecological Economics, Elsevier, vol. 70(2), pages 425-433, December.
    2. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    5. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    6. Mazur, Allan, 2011. "Does increasing energy or electricity consumption improve quality of life in industrial nations?," Energy Policy, Elsevier, vol. 39(5), pages 2568-2572, May.
    7. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    8. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    9. Nadimi, Reza & Tokimatsu, Koji, 2018. "Energy use analysis in the presence of quality of life, poverty, health, and carbon dioxide emissions," Energy, Elsevier, vol. 153(C), pages 671-684.
    10. Alemán-Nava, Gibrán S. & Casiano-Flores, Victor H. & Cárdenas-Chávez, Diana L. & Díaz-Chavez, Rocío & Scarlat, Nicolae & Mahlknecht, Jürgen & Dallemand, Jean-Francois & Parra, Roberto, 2014. "Renewable energy research progress in Mexico: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 140-153.
    11. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry," European Journal of Operational Research, Elsevier, vol. 216(3), pages 668-678.
    12. Yasemin Yildirim & Serap Parlar Kilic & Asiye Durmaz Akyol, 2013. "Relationship between life satisfaction and quality of life in Turkish nursing school students," Nursing & Health Sciences, John Wiley & Sons, vol. 15(4), pages 415-422, December.
    13. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    14. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants," Omega, Elsevier, vol. 41(2), pages 164-175.
    15. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    16. Long, Xingle & Naminse, Eric Yaw & Du, Jianguo & Zhuang, Jincai, 2015. "Nonrenewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 680-688.
    17. Yu, F.W. & Chan, K.T., 2012. "Improved energy management of chiller systems by multivariate and data envelopment analyses," Applied Energy, Elsevier, vol. 92(C), pages 168-174.
    18. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, November.
    19. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    21. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    22. Pasten, Cesar & Santamarina, Juan Carlos, 2012. "Energy and quality of life," Energy Policy, Elsevier, vol. 49(C), pages 468-476.
    23. Nadimi, Reza & Tokimatsu, Koji, 2018. "Modeling of quality of life in terms of energy and electricity consumption," Applied Energy, Elsevier, vol. 212(C), pages 1282-1294.
    24. Mahalingam, Brinda & Orman, Wafa Hakim, 2018. "GDP and energy consumption: A panel analysis of the US," Applied Energy, Elsevier, vol. 213(C), pages 208-218.
    25. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
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