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Comparative Risk Assessment of energy supply technologies: a Data Envelopment Analysis approach

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  • Ramanathan, R

Abstract

The diverse characteristics of eight different energy technologies are summarized in the form of relative efficiencies using Data Envelopment Analysis. Data from a previously published study was employed for the purpose. The analysis showed that, given the data and variables considered in the analysis, solar photovoltaic and nuclear are the relatively best efficient technologies, followed by natural gas and oil. The main problem of several renewable technologies appears to be the large land area that they require.

Suggested Citation

  • Ramanathan, R, 2001. "Comparative Risk Assessment of energy supply technologies: a Data Envelopment Analysis approach," Energy, Elsevier, vol. 26(2), pages 197-203.
  • Handle: RePEc:eee:energy:v:26:y:2001:i:2:p:197-203
    DOI: 10.1016/S0360-5442(00)00058-X
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    References listed on IDEAS

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    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Zhu, Lei & Fan, Ying, 2010. "Optimization of China's generating portfolio and policy implications based on portfolio theory," Energy, Elsevier, vol. 35(3), pages 1391-1402.
    3. 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.
    4. Stallard, T. & Rothschild, R. & Aggidis, G.A., 2008. "A comparative approach to the economic modelling of a large-scale wave power scheme," European Journal of Operational Research, Elsevier, vol. 185(2), pages 884-898, March.
    5. Tommi Gustafsson & Ahti Salo & Ramakrishnan Ramanathan, 2003. "Multicriteria methods for technology foresight," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(2-3), pages 235-255.
    6. Iglesias, Guillermo & Castellanos, Pablo & Seijas, Amparo, 2010. "Measurement of productive efficiency with frontier methods: A case study for wind farms," Energy Economics, Elsevier, vol. 32(5), pages 1199-1208, September.
    7. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    8. Azadeh, A. & Sheikhalishahi, M. & Asadzadeh, S.M., 2011. "A flexible neural network-fuzzy data envelopment analysis approach for location optimization of solar plants with uncertainty and complexity," Renewable Energy, Elsevier, vol. 36(12), pages 3394-3401.
    9. Azadeh, A. & Ghaderi, S.F. & Nasrollahi, M.R., 2011. "Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 36(5), pages 1621-1631.
    10. repec:ebl:ecbull:eb-18-00851 is not listed on IDEAS
    11. Kamenopoulos, Sotiris N. & Tsoutsos, Theocharis, 2015. "Assessment of the safe operation and maintenance of photovoltaic systems," Energy, Elsevier, vol. 93(P2), pages 1633-1638.
    12. Kemppi, Heikki & Perrels, Adriaan, 2003. "Liberalised Electricity Markets - Strengths and Weaknesses in Finland and Nordpool," Research Reports 97, VATT Institute for Economic Research.
    13. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2010. "Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks," European Journal of Operational Research, Elsevier, vol. 206(2), pages 479-487, October.
    14. repec:eee:rensus:v:97:y:2018:i:c:p:377-389 is not listed on IDEAS
    15. Köne, Aylin Çiğdem & Büke, Tayfun, 2012. "A comparison for Turkish provinces’ performance of urban air pollution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1300-1310.
    16. Azadeh, A. & Ghaderi, S.F. & Maghsoudi, A., 2008. "Location optimization of solar plants by an integrated hierarchical DEA PCA approach," Energy Policy, Elsevier, vol. 36(10), pages 3993-4004, October.
    17. repec:eee:reensy:v:145:y:2016:i:c:p:373-387 is not listed on IDEAS

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