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Integral indicator of ecological impact of the Croatian thermal power plants

Author

Listed:
  • Strijov, Vadim
  • Granić, Goran
  • Jurić, Željko
  • Jelavić, Branka
  • Antešević Maričić, Sandra

Abstract

The main goal of this paper is to present the methodology of construction of the Integral Indicator for the Croatian Thermal Power Plants and the Combined Heat and Power Plants. The Integral Indicator is intended to compare the Power Plants according to a certain criterion. The criterion of the ecological impact is chosen. The following features of the power plants are used: generated electricity and heat; consumed coal and liquid fuel; sulphur content in fuel; emitted CO2, SO2, NOx, and particles. The linear model is used to construct the Integral Indicator. The model parameters are defined by the Principal Component Analysis. The constructed Integral Indicator is compared with several others, such as Pareto-optimal slicing indicator and Metric indicator. The Integral Indicator keeps as much information about the waste measures of the power plants as possible; it is simple and robust.

Suggested Citation

  • Strijov, Vadim & Granić, Goran & Jurić, Željko & Jelavić, Branka & Antešević Maričić, Sandra, 2011. "Integral indicator of ecological impact of the Croatian thermal power plants," Energy, Elsevier, vol. 36(7), pages 4144-4149.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:7:p:4144-4149
    DOI: 10.1016/j.energy.2011.04.030
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    References listed on IDEAS

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    1. Jørgensen, S.E. & Nors Nielsen, Søren, 2007. "Application of exergy as thermodynamic indicator in ecology," Energy, Elsevier, vol. 32(5), pages 673-685.
    2. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    3. Bloyd, Cary, 1996. "5. Energy and the environment," Energy, Elsevier, vol. 21(11), pages 1047-1050.
    4. Favrat, D. & Marechal, F. & Epelly, O., 2008. "The challenge of introducing an exergy indicator in a local law on energy," Energy, Elsevier, vol. 33(2), pages 130-136.
    5. Bumann, A.A. & Papadokonstantakis, S. & Sugiyama, H. & Fischer, U. & Hungerbühler, K., 2010. "Evaluation and analysis of a proxy indicator for the estimation of gate-to-gate energy consumption in the early process design phases: The case of organic solvent production," Energy, Elsevier, vol. 35(6), pages 2407-2418.
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