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Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process

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  • Chatzimouratidis, Athanasios I.
  • Pilavachi, Petros A.

Abstract

The purpose of this study is to evaluate 10 types of power plants available at present including fossil fuel, nuclear as well as renewable-energy-based power plants, with regard to their overall impact on the living standard of local communities. Both positive and negative impacts of power plant operation are considered using the analytic hierarchy process (AHP). The current study covers the set of criteria weights considered typical for many local communities in many developed countries. The results presented here are illustrative only and user-defined weighting is required to make this study valuable for a specific group of users. A sensitivity analysis examines the most important weight variations, thus giving an overall view of the problem evaluation to every decision maker. Regardless of criteria weight variations, the five types of renewable energy power plant rank in the first five positions. Nuclear plants are in the sixth position when priority is given to quality of life and last when socioeconomic aspects are valued more important. Natural gas, oil and coal/lignite power plants rank between sixth and tenth position having slightly better ranking under priority to socioeconomic aspects.

Suggested Citation

  • Chatzimouratidis, Athanasios I. & Pilavachi, Petros A., 2008. "Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process," Energy Policy, Elsevier, vol. 36(3), pages 1074-1089, March.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:3:p:1074-1089
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    1. Kablan, M. M., 2004. "Decision support for energy conservation promotion:: an analytic hierarchy process approach," Energy Policy, Elsevier, vol. 32(10), pages 1151-1158, July.
    2. Kaldellis, J. K. & Vlachou, D. S. & Korbakis, G., 2005. "Techno-economic evaluation of small hydro power plants in Greece: a complete sensitivity analysis," Energy Policy, Elsevier, vol. 33(15), pages 1969-1985, October.
    3. Karami, Ezatollah, 2006. "Appropriateness of farmers' adoption of irrigation methods: The application of the AHP model," Agricultural Systems, Elsevier, vol. 87(1), pages 101-119, January.
    4. Georgopoulou, E. & Lalas, D. & Papagiannakis, L., 1997. "A multicriteria decision aid approach for energy planning problems: The case of renewable energy option," European Journal of Operational Research, Elsevier, vol. 103(1), pages 38-54, November.
    5. Wedley, William C., 1990. "Combining qualitative and quantitative factors--an analytic hierarchy approach," Socio-Economic Planning Sciences, Elsevier, vol. 24(1), pages 57-64.
    6. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    7. Ramanathan, R. & Ganesh, L. S., 1995. "Energy resource allocation incorporating qualitative and quantitative criteria: An integrated model using goal programming and AHP," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 197-218, September.
    8. Beccali, M. & Cellura, M. & Mistretta, M., 2003. "Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology," Renewable Energy, Elsevier, vol. 28(13), pages 2063-2087.
    9. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    10. Chatzimouratidis, Athanasios I. & Pilavachi, Petros A., 2007. "Objective and subjective evaluation of power plants and their non-radioactive emissions using the analytic hierarchy process," Energy Policy, Elsevier, vol. 35(8), pages 4027-4038, August.
    11. Hung, Ming-Lung & Yang, Wan-Fa & Ma, Hwong-Wen & Yang, Ya-Mei, 2006. "A novel multiobjective programming approach dealing with qualitative and quantitative objectives for environmental management," Ecological Economics, Elsevier, vol. 56(4), pages 584-593, April.
    12. Kaldellis, J.K. & Kavadias, K.A., 2007. "Cost-benefit analysis of remote hybrid wind-diesel power stations: Case study Aegean Sea islands," Energy Policy, Elsevier, vol. 35(3), pages 1525-1538, March.
    13. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
    14. Diakoulaki, D. & Karangelis, F., 2007. "Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 716-727, May.
    15. Elkarmi, Fawwaz & Mustafa, Isam, 1993. "Increasing the utilization of solar energy technologies (SET) in Jordan : Analytic hierarchy process," Energy Policy, Elsevier, vol. 21(9), pages 978-984, September.
    16. Heller, Martin C & Keoleian, Gregory A & Mann, Margaret K & Volk, Timothy A, 2004. "Life cycle energy and environmental benefits of generating electricity from willow biomass," Renewable Energy, Elsevier, vol. 29(7), pages 1023-1042.
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